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2026-07-13

v2.0.12

New Features:

• Memory (OSS): Accept text in Memory.update() and AsyncMemory.update(). data still works but is now deprecated, so prefer text in new code ( #6044)

Bug Fixes:

• Core: Coerce non-string entity IDs (user_id, agent_id, run_id) instead of crashing on .strip(), so passing an integer ID no longer raises AttributeError ( #6206)
• Core: Stop requiring langchain-core for the default async procedural memory path. The optional dependency is now only imported when you pass a custom LangChain LLM, matching the sync behavior ( #6209)
• Client: Encode dynamic URL path segments so IDs containing special characters no longer produce malformed requests ( #5963)
• LLMs: Skip temperature and top_p for newer Anthropic models that reject sampling parameters. Detection is automatic per model family and version, and the new enable_sampling_parameters config flag overrides it ( #6211)
• Vector Stores: Stop writing internal OutputData model fields as properties on Weaviate update() ( #6149)
• Vector Stores: Improve wildcard search handling in Milvus ( #6187)
• Vector Stores: Keep env-resolved Upstash Vector credentials after config validation. An env-var-only config previously passed validation and then failed to build ( #5811)
• Vector Stores: Restore the previous payload when a Neptune Analytics vector upsert fails inside update(), so a partial write can no longer leave the payload and embedding out of sync ( #5824)

Changes:

• LLMs: The Together default model is now MiniMaxAI/MiniMax-M3 (was mistralai/Mixtral-8x7B-Instruct-v0.1) ( #6049)
• LLMs: The xAI default model is now grok-4.3 (was grok-2-latest) ( #6115)
• Embeddings: The Together default embedding model is now intfloat/multilingual-e5-large-instruct at 1024 dimensions (was togethercomputer/m2-bert-80M-8k-retrieval at 768). If you use the Together embedder without pinning model, existing vectors were written at the old dimension: either re-embed them, or pin model and embedding_dims to the old values ( #5989)
• Rerankers: The Cohere default rerank model is now rerank-v3.5 (was rerank-english-v3.0) ( #6055)

Security:

• Vector Stores: Fix SQL and Cypher injection vulnerabilities in the PGVector, Azure MySQL, and Neptune providers ( #4878)
• Vector Stores: Validate Elasticsearch filter keys and values to prevent term query injection ( #5980)
• Dependencies: Require transformers>=5.3.0 to remediate GHSA-29pf-2h5f-8g72 (CVE-2026-4372) ( #6110)

​

2026-07-01

v2.0.11

Bug Fixes:

• Embeddings: Guard against an embed_batch count mismatch in the OpenAI and Azure OpenAI embedders ( #5966)
• Memory: Re-raise LLM extraction failures instead of silently returning [] ( #5878)
• Vector Stores: Normalize vectors for the cosine distance strategy in FAISS ( #5960)

Security:

• Vector Stores: Validate OpenSearch filter values to prevent term query injection ( #5986)
• Vector Stores: Validate value types and escape quotes in Azure AI Search OData filters ( #5983)
• Vector Stores: Validate Databricks catalog/schema/table identifiers to prevent SQL injection ( #5988)
• Graph: Escape Neptune filter values in openCypher queries to prevent injection ( #5982)

​

2026-06-27

v2.0.10

New Features:

• Client: Expose expiration_date on MemoryClient.update() and AsyncMemoryClient.update(): callers can now set or clear a memory’s expiration date; None is preserved and forwarded to the API ( #5874)

Bug Fixes:

• Memory (OSS): Apply remove_code_blocks() to the LangChain path in async _create_procedural_memory so code fences are stripped consistently ( #5711)
• Rerankers: Score HuggingFace cross-encoder results with per-document sigmoid instead of set-relative min-max, preventing a single low-score document from collapsing all relevance scores to zero ( #5715)
• Core: Validate and trim entity IDs (user_id, agent_id, run_id) in delete_all() for both sync and async Memory ( #5735)
• Vector Stores: Use .get() for hash and created_at in the Redis insert() and update() paths so entity payloads that omit those fields no longer raise KeyError ( #5709)
• Memory: Fix scale-threshold notices not firing for Redis and search-engine backends by resolving col_info() signature differences and adding num_docs to the count-extraction lookup ( #5687)
• Vector Stores: Escape special characters in Valkey FT.SEARCH tag filter values to prevent wildcard and operator injection through tenant-isolation filters ( #5750)

​

2026-06-24

v2.0.9

Bug Fixes:

• Memory (OSS): Improve entity extraction precision by avoiding sentence-start common noun noise, preserving useful topic phrases, and exact-deduplicating entity links before semantic matching ( #5829)

​

2026-06-24

v2.0.8

New Features:

• Embeddings: Add native embed_batch to five embedders: LM Studio, Together, HuggingFace, Vertex AI, and Google GenAI: for batched embedding requests ( #5609)

Bug Fixes:

• Core: Guard against malformed image_url entries in parse_vision_messages to prevent crashes ( #5631)
• Core: Return attributed_to from get(), get_all(), and search() ( #5629)
• Core: Fix reset() only dropping the history table and leaving stale messages behind ( #5541)
• Core: Guard against an entity embed_batch count mismatch in the v3 add pipeline ( #5604)
• Core: Fix an async delete_all race condition that corrupted the entity store’s linked_memory_ids ( #5553)
• LLMs: Skip the JSON response_format for Groq compound models that reject it ( #5513)
• LLMs: Preserve reasoning fields during base-to-provider config conversion ( #5638)
• LLMs: Pass the configured anthropic_base_url to the Anthropic client ( #5626)
• LLMs: Stop the Azure provider from mutating and corrupting caller messages during content rewrite ( #5731)
• LLMs & Embeddings: Repair HTTP proxy support for httpx>=0.28 and preserve proxies in LlmFactory ( #5447)
• Embeddings: Forward embedding_dims to Titan V2 in the AWS Bedrock embedder ( #5671)
• Rerankers: Log reranking failures instead of swallowing them silently ( #5717)
• Rerankers: Clamp out-of-range LLM scores instead of mis-parsing them ( #5635)
• Rerankers: Export all five rerankers from the package root ( #5636)
• Vector Stores: Point the FastEmbed-missing warning at mem0ai[extras] ( #5622)
• Vector Stores: Preserve empty Azure AI Search update values ( #5524)
• Vector Stores: Add an auto_refresh option for OpenSearch Serverless compatibility ( #3893)
• Vector Stores: Wrap a scalar vector_id in a list for Chroma delete() ( #5703)
• Vector Stores: Wrap Chroma update() ids, embeddings, and metadatas in lists ( #5757)
• Vector Stores: Wrap a scalar vector_id in a list for Milvus delete() ( #5704)
• Vector Stores: Map all comparison operators in the Pinecone _create_filter() ( #5707)
• Vector Stores: Return None instead of {} from Chroma _generate_where_clause for empty filters ( #5713)
• Vector Stores: Return [[]] from the OpenSearch list() error path to honor the list() contract ( #5727)
• Vector Stores: Return [[]] from the Pinecone list() error path instead of a dict ( #5706)
• Vector Stores: Return [[]] for an uninitialized FAISS index to honor the list() contract ( #5725)
• Vector Stores: Wrap the MongoDB list() return in an outer list to match the interface contract ( #5729)
• Vector Stores: Deep-copy Redis DEFAULT_FIELDS so instances keep distinct dims ( #5633)
• Vector Stores: Pass the required vectors arg in Vertex AI list() and similarity search ( #5627)
• Vector Stores: Return None from Redis get() for missing IDs ( #5625)
• Vector Stores: Drop a stray print in Weaviate list_cols ( #5637)
• Graph: Keep distinct entities that share a substring prefix ( #5630)
• Client: Check the HTTP status before parsing the ping response in _validate_api_key ( #5639)
• Server: Fetch filtered dashboard memories beyond the default page ( #5753)
• Server: Return 404/400 instead of 502 for not-found and invalid input ( #5634)
• Server: Return 404 instead of 500 for a malformed API key id on revoke ( #5640)
• Server: Use 127.0.0.1 in the dashboard healthcheck to avoid IPv6 localhost resolution ( #5612)

Improvements:

• Vector Stores: Batch BM25 sparse encoding in Qdrant insert ( #5592)

Security:

• Vector Stores: Sanitize Milvus and Baidu filter values to prevent expression injection ( #5746)
• Vector Stores: Reject dict filter values in MongoDB to prevent NoSQL operator injection ( #5748)

​

2026-06-17

v2.0.7

New Features:

• LLMs: Add Gemini via Vertex AI as LLM provider ( #4030)
• Embeddings: Add native embed_batch to OllamaEmbedding for batched embedding requests ( #5415)

Bug Fixes:

• Core: Fix api_error_handler silently dropping return values from async methods ( #5540)
• Core: Fix AsyncMemory.reset() not resetting the entity store ( #5535)
• Core: Fix async delete_all aborting on first error, leaving partial deletion ( #5529)
• Core: Skip messages without a content key in message parsers to prevent KeyError crashes ( #5575)
• Core: Preserve custom metadata fields during memory update ( #5480)
• LLMs: Fix Anthropic tool_choice format and tool response parsing ( #5537)
• LLMs: Fix Ollama json format mutating the caller’s messages list in-place ( #5539)
• LLMs: Omit None config values from Gemini GenerateContentConfig to prevent validation errors ( #5528)
• LLMs: Honor reasoning-model params in AzureOpenAIStructuredLLM ( #5548)
• LLMs: Honor reasoning-model params in OpenAIStructuredLLM ( #5458)
• LLMs: Send max_completion_tokens for the GPT-5 family across all providers ( #5547)
• LLMs: Accept and forward **kwargs in Together, LangChain, and Sarvam providers ( #5556)
• LLMs: Fix Bedrock AI21 response parse default using dict literal instead of set ( #5527)
• LLMs: Fix LiteLLM function-calling check blocking all calls on non-tool models ( #5536)
• LLMs: Fix HuggingFace provider using self.config instead of raw config parameter ( #5538)
• Embeddings: Honor aws_session_token in AWS Bedrock embeddings ( #5566)
• Rerankers: Respect config.top_k in Cohere and ZeroEntropy fallback paths ( #5560)
• Vector Stores: Fix FAISS filtered search dropping over-fetched candidates before filtering ( #5453)
• Vector Stores: Fix Weaviate reset() crashing with missing vector_size argument ( #5531)
• Vector Stores: Pass embedding dims in Weaviate reset() to avoid re-init crash ( #5570)
• Vector Stores: Fix MongoDB reset() passing wrong argument to create_col() ( #5532)
• Vector Stores: Fix Pinecone hybrid search crashing when filters is None ( #5533)
• Vector Stores: Fix Redis crashing on empty or None filters in search() and list() ( #5446)
• Vector Stores: Return None from get() for missing IDs in Milvus, Weaviate, and Supabase ( #5562)
• Vector Stores: Return None from ChromaDB get() for missing IDs ( #5561)

​

2026-06-13

v2.0.6

New Features:

• Memory: Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via MEM0_TELEMETRY=false ( #5494)

Bug Fixes:

• Memory: Prevent a crash in parse_vision_messages when vision support is disabled ( #5487)
• Vector Stores: Expose the https option on the Qdrant vector store configuration so TLS endpoints can be targeted explicitly ( #5380)
• Vector Stores: Use valid S3 Vectors entity index names, fixing index operations that failed on invalid names ( #5416)
• Vector Stores: Fix search() crashing with a TypeError in the LangChain vector store when a result score is None ( #5072)
• Vector Stores: Use is not None instead of a truthiness check for vector/payload in the PGVector update() path, so valid empty/zero values are no longer skipped ( #5488)
• Vector Stores: Index the Valkey memory field as TEXT rather than TAG so full-text search behaves correctly ( #5443)
• Vector Stores: Implement $not filter support in the ChromaDB vector store ( #5485)

​

2026-06-10

v2.0.5

New Features:

• Memory: Warn at init time when hybrid/BM25 search silently degrades to semantic-only because the configured vector store does not implement keyword_search. Affected stores: Chroma, FAISS, Cassandra, LangChain, Neptune Analytics, S3 Vectors, Supabase, TurboPuffer, Valkey ( #5444)
• Memory: Add opt-in explain=True parameter to Memory.search() and AsyncMemory.search(). When enabled, each result includes a score_details dict with semantic_score, bm25_score, entity_boost, raw_score, max_possible_score, final_score, and threshold so callers can understand and tune retrieval ranking ( #5102)

Bug Fixes:

• Vector Stores: Normalize similarity scores to [0, 1] (higher = better) consistently across all backends. 11 adapters previously returned raw distance metrics (lower = better): FAISS, Chroma, Milvus, Redis, Cassandra, PGVector, S3 Vectors, Supabase, Valkey, Azure MySQL, and Vertex AI Vector Search: causing incorrect ranking in multi-store setups ( #5391)
• Memory: Parallelize entity boost searches in Memory.search() and AsyncMemory.search(). Previously up to 8 entities were embedded and queried sequentially (16 serial round-trips with remote embedders); all entity lookups now run concurrently, eliminating multi-second latency on entity-rich queries ( #5377)
• Memory: Reject empty or whitespace-only queries in Memory.search(), AsyncMemory.search(), MemoryClient.search(), and AsyncMemoryClient.search() before any embedding or API call is made. Also strips leading/trailing whitespace from valid queries ( #5258)
• LLMs: Add is_reasoning_model: Optional[bool] override to BaseLlmConfig (surfaced on OpenAILlmConfig and AzureOpenAILlmConfig). Fixes silent zero-extraction when using Azure deployments with versioned gpt-5.x names that the automatic name-based heuristic cannot recognize ( #5327)
• LLMs: Fix xAI LLM provider: add XAIConfig with xai_base_url, forward tools/tool_choice in generate_response(), and parse tool_calls in the response. Previously the provider raised AttributeError at init and silently dropped tool results ( #5190)
• Vector Stores: Fix PGVector ConnectionPool hang in Docker Compose environments where the app container starts before Postgres is DNS-resolvable: switched to open=False to avoid blocking constructor or silent zombie pool ( #5155)
• Vector Stores: Fix PGVector sslmode handling for PostgreSQL URIs: the sslmode query parameter is now correctly extracted and forwarded when building the async connection pool ( #5308)
• Vector Stores: Fix S3 Vectors list() not applying metadata filters: filtering is now done client-side after fetching, with pagination preserved and top_k applied after filtering to prevent pre-truncation of matching rows ( #5018)
• Vector Stores: Fix Upstash Vector search() routing all queries to the default namespace: namespace is now passed as a top-level keyword argument to query_many() instead of inside the per-query dict where it was silently ignored ( #5202)
• Core: Replace mutable default arguments with None sentinels in embedder configs and the proxy module, preventing cross-request state contamination ( #5302)

​

2026-05-27

v2.0.4

New Features:

• Client:delete() and async delete() accept delete_linked (default False). When True, deleting a memory also removes the older memories it superseded (the v3 linked_memory_ids chain), transitively: the delete-side counterpart of latest_only, so a superseded memory does not resurface after the current one is deleted ( #5270)

​

2026-05-26

v2.0.3

Bug Fixes:

• Vector Stores: PGVector adapter now supports rich filter operators (eq, ne, gt, gte, lt, lte, in, nin, contains, icontains, wildcard *, $or, $not) in search(), keyword_search(), and list(). Previously only exact-equality filters worked: operator dicts were silently stringified and returned zero results ( #5263)
• Server: Fixed /search endpoint returning 502 when user_id, agent_id, or run_id are sent as top-level request fields. The server now maps these into the filters dict before calling Memory.search(), matching the v3 API contract. Top-level entity ID fields are marked as deprecated in the OpenAPI schema and emit a warning log: clients should migrate to filters={"user_id": "..."} ( #5263)

​

2026-05-08

v2.0.2

Bug Fixes:

• Telemetry: Stitch OSS and platform PostHog identities on MemoryClient init so $identify events fire and a single user is no longer tracked as two or three disconnected personas ( #5040)
• Security: Harden against SQL injection and prompt injection ( #4997)

New Features:

• SDK: Expose decay on project.update ( #5062)

Improvements:

• Plugin: Hand mem0 search decisions to the agent ( #4992)

​

2026-04-25

v2.0.1

Bug Fixes:

• Client: Map user_id, agent_id, run_id entity params to filters in GET /memories ( #4960)
• Memory: Honor prompt param in vector store extraction pipeline ( #4914)
• Memory: Add missing text_lemmatized field in AsyncMemory._create_memory ( #4886)
• Memory: Merge same-key operator dicts in AND metadata filters ( #4853)
• LLMs: Narrow _is_reasoning_model check to not match gpt-5.x variants ( #4746)
• Vector Stores: Add ca_certs config option for Elasticsearch vector store ( #3993)
• Vector Stores: Add agent_id and run_id to Elasticsearch/OpenSearch default mappings ( #4906)
• Embeddings: Set FastEmbed embedding_dims from model metadata at init ( #4711)

Security:

• Bump vulnerable dependencies to patched versions ( #4835)

​

2026-04-14

v2.0.0

Major Release: Python SDK with V3 memory pipeline, ADD-only extraction, and cleaned-up API surface.New Features:

• Single-Pass Extraction: Replaced 2-LLM-call pipeline with additive extraction using ADDITIVE_EXTRACTION_PROMPT. Memories accumulate via linked_memory_ids: no more UPDATE/DELETE events ( #4805)
• Hybrid Search: Combined semantic + BM25 keyword matching + entity boost with additive scoring. Native keyword_search() added to 15 vector store adapters (Qdrant, Elasticsearch, OpenSearch, Azure AI Search, Weaviate, Redis, PGVector, Pinecone, Databricks, MongoDB, Milvus, Baidu, Upstash, Azure MySQL, Vertex AI) ( #4805)
• Entity Extraction & Linking: spaCy-based entity extraction with second vector collection ({collection}_entities) for cross-memory relationship retrieval. Optional dependency: pip install mem0ai[nlp] ( #4805)
• Batch Operations: Batch embedding, batch persist, and batch entity linking (8-phase pipeline) for both sync Memory and async AsyncMemory at full parity ( #4805)
• Message Persistence: SQLite-based rolling window (10 messages per session scope) for LLM context ( #4805)
• Valkey Cluster Mode: Added cluster_mode parameter for Valkey Cluster Mode Enabled (CME) deployments ( #4759)
• V3 API Endpoints:MemoryClient.add() now posts to /v3/memories/add/; MemoryClient.get_all() posts to /v3/memories/ and returns a paginated envelope {"count": int, "next": str | None, "previous": str | None, "results": [...]} ( #4856)
• Default model:gpt-5-mini is now the default across OpenAILLM, OpenAIStructuredLLM, AzureOpenAILLM, AzureOpenAIStructuredLLM, and LiteLLM fallback ( #4829)

Breaking Changes:

• add() returns ADD-only events: No more "UPDATE" or "DELETE" events. Memories accumulate; nothing is overwritten ( #4805)
• search() default threshold is now 0.1: Pass threshold=0.0 for previous behavior ( #4805)
• search()``score is now a combined multi-signal score: The top-level score fuses semantic similarity, BM25 keyword match, entity signals, and temporal boosts into one value. Absolute numbers shift versus the old raw cosine score; retune any hard thresholds against representative queries ( #4805, #4836)
• search() default rerank is now False: Pass rerank=True for previous behavior ( #4805)
• top_k default changed 100 → 20 in Memory.get_all() and Memory.search() (sync + async). Pass top_k=100 explicitly to restore the old behavior ( #4843)
• Entity ID validation:user_id / agent_id / run_id are trimmed; empty-string and whitespace-only values now raise ValueError ( #4843)
• Search params validation:threshold must be a number in [0, 1]; top_k must be a non-negative integer: invalid inputs raise ValueError ( #4843)
• messages in Memory.add() rejects invalid types: Passing None or non-(str | dict | list) values raises Mem0ValidationError (error_code="VALIDATION_003") ( #4843)
• qdrant-client>=1.12.0 required: Upgrade from >=1.9.1 ( #4805)
• org_id and project_id removed: Removed from MemoryClient constructor and all method signatures ( #4740)
• External Graph Store Removed (OSS):mem0/memory/graph_memory.py, memgraph_memory.py, kuzu_memory.py, apache_age_memory.py, and mem0/graphs/ (Neo4j / Memgraph / Kuzu / Apache AGE / Neptune drivers) deleted, about 4,000 lines. The external graph store integration is no longer part of the OSS SDK; graph drivers (neo4j, memgraph, kuzu, etc.) can be uninstalled. Graph memory now runs natively as built-in entity linking. Remove enable_graph and graph_store from your config ( #4805)
• enable_graph removed from Client SDK: Graph memory now runs automatically and no longer needs a flag. Remove enable_graph from MemoryClient.add() / search() / get_all() / update_project() calls ( #4776)
• custom_fact_extraction_prompt renamed to custom_instructions: Update config and memory module references ( #4740)
• Typed option classes: Added Pydantic v2 typed classes: AddMemoryOptions, SearchMemoryOptions, GetAllMemoryOptions, DeleteAllMemoryOptions, UpdateMemoryOptions, ProjectUpdateOptions ( #4740)

Security:

• FAISS: Prevent arbitrary code execution via pickle deserialization in FAISS vector store ( #4833)

Bug Fixes:

• V3 migration crashes: Fixed crashes in the v3 migration path; entity linking on OSS is now functional across Qdrant and Milvus backends ( #4836)
• Qdrant entity store: Entity store now shares the existing Qdrant client when using embedded mode (path=...), eliminating RocksDB lock contention between the main and entity collections ( #4836)
• Reranker: Fixed incorrect use of SentenceTransformer for cross-encoder reranker models: switched to CrossEncoder API for proper scoring ( #4806)
• S3 Vectors: Handle vector=None in update() to prevent boto3 validation error when event=NONE ( #4594)
• LLMs: Made OpenAI store parameter opt-in to prevent leaking to non-OpenAI backends like Google Gemini ( #4757)
• LLMs: Forward response_format to Azure OpenAI API to prevent JSON parsing failures ( #4689)
• Core: Guard temp_uuid_mapping lookups against LLM-hallucinated IDs with safe .get() and warnings ( #4674)
• Client: Prevent MemoryClient.feedback() telemetry TypeError by merging feedback data into single payload ( #4795)

Improvements:

• Telemetry: Sample OSS hot-path events at 10% via PostHog before_send hook to reduce event volume ( #4771)

See the OSS v2 to v3 migration guide and Platform migration guide for upgrade instructions.

​

2026-04-06

v1.0.11

New Features & Updates:

• SDK: Added multilingual parameter to project update ( #4314)

Bug Fixes:

• LLMs: Fixed Groq model configuration ( #4700)
• Core: Prevented thread and memory leaks from PostHog telemetry ( #4535)
• Vector Stores: Used DatetimeRange for datetime string values in Qdrant range filters ( #4659)
• Configs: Added missing ConfigDict to vector store configs (Elasticsearch, MongoDB, Neptune, OpenSearch, PGVector, Supabase, Valkey) ( #4656)

​

2026-04-01

v1.0.10

New Features & Updates:

• LLMs: Added MiniMax provider support for AWS Bedrock ( #4609)

Bug Fixes:

• Configs: Migrated CassandraConfig and AzureMySQLConfig to pydantic v2 ConfigDict ( #4646)
• LLMs: Forward response_format to OpenAI-compatible API for DeepSeek ( #4635)
• LLMs: Forward response_format to OpenAI-compatible API for vLLM ( #4608)
• Vector Stores: Only list authorized collections when listing MongoDB collections ( #3888)
• Core: Reset graph database in Memory.reset() ( #4185)
• Core: Make AsyncMemory.from_config a regular classmethod ( #4183)

​

2026-03-28

v1.0.9

New Features & Updates:

• LLMs: Added reasoning_effort parameter support for reasoning models ( #4461)

Bug Fixes:

• Core: Preserved original actor_id during memory update ( #4570)
• Core: Set updated_at on creation and preserve pre-existing created_at ( #4499)
• Core: Centralized entity cleanup and skip malformed LLM relation dicts ( #4515)
• Core: Removed README.md from wheel shared-data ( #4052)
• Vector Stores: Handled vector=None in Milvus and Qdrant update methods ( #4568)
• Vector Stores: Rebuilt FAISS index on vector deletion ( #4178)

Improvements:

• Embeddings: Updated default Gemini and Vertex AI embedder model to gemini-embedding-001 ( #4571)

​

2026-03-26

v1.0.8

New Features & Updates:

• Vector Stores: Integrated Turbopuffer as a vector database provider ( #4428)
• LLMs: Added MiniMax LLM provider ( #4431)

Bug Fixes:

• Core: Fixed merging of multiple filter operators for the same key ( #4559)
• Core: Prevented in-place mutation of metadata in _create_memory ( #4529)
• Core: Preserved custom metadata when updating memory ( #4495)
• Core: Handled chatty LLM responses in JSON parsing ( #4525)
• Core: Prevented double embedding in mem0.add ( #3996)
• Core: Raised ValueError when deleting nonexistent memory ( #4455)
• Core: Cleaned up graph store data on Memory.delete() ( #4505)
• Vector Stores: Prevented SQL injection in Databricks vector store ( #4558)
• Vector Stores: Upgraded MongoDB vector store from deprecated knnVector to GA vectorSearch ( #3995)
• Vector Stores: Prevented embedding corruption in Valkey and Redis when vector is None ( #4362)
• Vector Stores: Accepted default /tmp/chroma path in ChromaDbConfig validator ( #4179)
• Vector Stores: Wrapped vector and payload in lists for Langchain.update ( #4446)
• Graph: Soft-delete graph relationships instead of hard DELETE ( #4188)
• Graph: Sanitized hyphens in Neo4j Cypher relationship names ( #4154)
• Graph: Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ( #4466)
• Qdrant: Fixed do not remove local path on init ( #4475)
• Qdrant: Implemented enhanced metadata filtering operators ( #4127)
• Embeddings: Fixed OpenAI embedding dimensions ( #4481)
• LLMs: Omitted topP for Anthropic Converse in Bedrock; used AWSBedrockConfig in LlmFactory ( #4469)
• LLMs: Avoided sending both temperature and top_p to Anthropic API ( #4471)
• LLMs: Handled None content and empty candidates in GeminiLLM parsing ( #4462)
• LLMs: Added missing _parse_response to AzureOpenAIStructuredLLM ( #4434)
• History: Added timestamps for DELETE operations in history ( #4492)

Improvements:

• Vector Stores: Added vector validation to OpenSearchDB to ensure non-null, non-empty, and correct-dimension vectors ( #4472)

​

2026-03-19

v1.0.7

Bug Fixes:

• Core: Fixed control characters in LLM JSON responses causing parse failures ( #4420)
• Core: Replaced hardcoded US/Pacific timezone references with timezone.utc ( #4404)
• Core: Preserved http_auth in _safe_deepcopy_config for OpenSearch ( #4418)
• Core: Normalized malformed LLM fact output before embedding ( #4224)
• Embeddings: Pass encoding_format='float' in OpenAI embeddings for proxy compatibility ( #4058)
• LLMs: Fixed Ollama to pass tools to client.chat and parse tool_calls from response ( #4176)
• Reranker: Support nested LLM config in LLMReranker for non-OpenAI providers ( #4405)
• Vector Stores: Cast vector_distance to float in Redis search ( #4377)

Improvements:

• Embeddings: Improved Ollama embedder with model name normalization and error handling ( #4403)

​

2026-03-16

v1.0.6

Bug Fixes:

• Telemetry: Fixed telemetry vector store initialization still running when MEM0_TELEMETRY is disabled (#4351)
• Core: Removed destructive vector_store.reset() call from delete_all() that was wiping the entire vector store instead of deleting only the target memories (#4349)
• OSS:OllamaLLM now respects the configured URL instead of always falling back to localhost (#4320)
• Core: Fixed KeyError when LLM omits the entities key in tool call response (#4313)
• Prompts: Ensured JSON instruction is included in prompts when using json_object response format (#4271)
• Core: Fixed incorrect database parameter handling (#3913)

Dependencies:

• Updated LangChain dependencies to v1.0.0 (#4353)
• Bumped protobuf dependency to 5.29.6 and extended upper bound to <7.0.0 (#4326)

​

2026-03-03

v1.0.5

• Telemetry Fix
  • Fixed an issue where the PostHog client was initialized even after telemetry was disabled. Although events were not captured, the client was unnecessarily initialized.

​

2026-02-17

v1.0.4

New Features & Updates:

• Memory Update:
  • Added timestamp parameter to update(): accepts Unix epoch (int/float) or ISO 8601 string

​

2026-01-29

v1.0.3

New Features & Updates:

• Project Settings:
  • Added inclusion prompt, exclusion prompt, memory depth, and usecase setting

​

2026-01-13

v1.0.2

New Features & Updates:

• Vector Stores:
  • Added DriverInfo metadata to MongoDB vector store

​

2025-11-14

v1.0.1

New Features & Updates:

• Vector Stores:
  • Added Apache Cassandra vector store support
• Embeddings:
  • Added FastEmbed embedding support for local embeddings
• Graph Store:
  • Added configurable embedding similarity threshold for graph store node matching

Bug Fixes:

• Core:
  • Fixed condition check for memories_result type in Memory class
  • Fixed list_memories endpoint Pydantic validation error
  • Fixed memory deletion not removing from vector store

​

2025-10-16

v1.0.0

New Features & Updates:

• Vector Stores:
  • Added Azure MySQL support
  • Added Azure AI Search Vector Store support
• LLMs:
  • Added Tool Call support for LangchainLLM
  • Enabled custom model and parameters for Hugging Face with huggingface_base_url
  • Updated default LLM configuration
• Rerankers:
  • Added reranker support: Cohere, ZeroEntropy, Hugging Face, Sentence Transformers, and LLMs
• Core:
  • Added metadata filtering for OSS
  • Added Assistant memory retrieval
  • Enabled async mode as default

Improvements:

• Prompts:
  • Improved prompt for better memory retrieval
• Dependencies:
  • Updated dependency compatibility with OpenAI 2.x
• Validation:
  • Validated embedding_dims for Kuzu integration

Bug Fixes:

• Vector Stores:
  • Fixed Databricks Vector Store integration
  • Fixed Milvus DB bug and added test coverage
  • Fixed Weaviate search method
• LLMs:
  • Fixed bug with thinking LLM in vLLM

​

2025-09-25

v0.1.118

New Features & Updates:

• Vector Stores:
  • Added Valkey vector store support
  • Added support for ChromaDB Cloud
  • Added Mem0 vector store backend integration for Neptune Analytics
• Graph Store:
  • Added Neptune-DB graph store with vector store
• Core:
  • Implemented structured exception classes with error codes and suggested actions

Improvements:

• Dependencies:
  • Updated OpenAI dependency and improved Ollama compatibility
• Testing:
  • Added Weaviate DB test
  • Added comprehensive test suite for SQLiteManager
• Documentation:
  • Updated category docs
  • Updated Search V2 / Get All V2 filters documentation
  • Refactored AWS example title
  • Fixed Quickstart cURL example

Bug Fixes:

• Vector Stores:
  • Databricks bug fixes
  • Fixed S3 Vectors memory initialization issue from configuration
• Core:
  • Fixed JSON parsing with new memories
  • Replaced hardcoded LLM provider with provider from configuration
• LLMs:
  • Fixed Bedrock Anthropic models to use system field

​

2025-09-03

v0.1.117

New Features & Updates:

• OpenMemory:
  • Added memory export / import feature
  • Added vector store integrations: Weaviate, FAISS, PGVector, Chroma, Redis, Elasticsearch, Milvus
  • Added export_openmemory.sh migration script
• Vector Stores:
  • Added Amazon S3 Vectors support
  • Added Databricks Mosaic AI vector store support
  • Added support for OpenAI Store
• Graph Memory: Added support for graph memory using Kuzu
• Azure: Added Azure Identity for Azure OpenAI and Azure AI Search authentication
• Elasticsearch: Added headers configuration support

Improvements:

• Added custom connection client to enable connecting to local containers for Weaviate
• Updated configuration AWS Bedrock
• Fixed dependency issues and tests; updated docstrings
• Documentation:
  • Fixed Graph Docs page missing in sidebar
  • Updated integration documentation
  • Added version param in Search V2 API documentation
  • Updated Databricks documentation and refactored docs
  • Updated favicon logo
  • Fixed typos and Typescript docs

Bug Fixes:

• Baidu: Added missing provider for Baidu vector DB
• MongoDB: Replaced query_vector args in search method
• Fixed new memory mistaken for current
• AsyncMemory._add_to_vector_store: handled edge case when no facts found
• Fixed missing commas in Kuzu graph INSERT queries
• Fixed inconsistent created and updated properties for Graph
• Fixed missing app_id on client for Neptune Analytics
• Correctly pick AWS region from environment variable
• Fixed Ollama model existence check

Refactoring:

• PGVector: Use internal connection pools and context managers

​

2025-08-14

v0.1.116

New Features & Updates:

• Pinecone: Added namespace support and improved type safety
• Milvus: Added db_name field to MilvusDBConfig
• Vector Stores: Added multi-id filters support
• Vercel AI SDK: Migration to AI SDK V5.0
• Python Support: Added Python 3.12 support
• Graph Memory: Added sanitizer methods for nodes and relationships
• LLM Monitoring: Added monitoring callback support

Improvements:

• Performance:
  • Improved async handling in AsyncMemory class
• Documentation:
  • Added async add announcement
  • Added personalized search docs
  • Added Neptune examples
  • Added V5 migration docs
• Configuration:
  • Refactored base class config for LLMs
  • Added sslmode for pgvector
• Dependencies:
  • Updated psycopg to version 3
  • Updated Docker compose

Bug Fixes:

• Tests:
  • Fixed failing tests
  • Restricted package versions
• Memgraph:
  • Fixed async attribute errors
  • Fixed n_embeddings usage
  • Fixed indexing issues
• Vector Stores:
  • Fixed Qdrant cloud indexing
  • Fixed Neo4j Cypher syntax
  • Fixed LLM parameters
• Graph Store:
  • Fixed LM config prioritization
• Dependencies:
  • Fixed JSON import for psycopg

Refactoring:

• Google AI: Refactored from Gemini to Google AI
• Base Classes: Refactored LLM base class configuration

​

2025-07-24

v0.1.115

New Features & Updates:

• Enhanced project management via client.project and AsyncMemoryClient.project interfaces
• Full support for project CRUD operations (create, read, update, delete)
• Project member management: add, update, remove, and list members
• Manage project settings including custom instructions, categories, retrieval criteria, and graph enablement
• Both sync and async support for all project management operations

Improvements:

• Documentation: - Added detailed API reference and usage examples for new project management methods.
  • Updated all docs to use client.project.get() and client.project.update() instead of deprecated methods.
• Deprecation: - Marked get_project() and update_project() as deprecated (these methods were already present); added warnings to guide users to the new API.

Bug Fixes:

• Tests:
  • Fixed Gemini embedder and LLM test mocks for correct error handling and argument structure.
• vLLM:
  • Fixed duplicate import in vLLM module.

​

2025-07-05

v0.1.114

New Features:

• OpenAI Agents: Added OpenAI agents SDK support
• Amazon Neptune: Added Amazon Neptune Analytics graph_store configuration and integration
• vLLM: Added vLLM support

Improvements:

• Documentation:
  • Added SOC2 and HIPAA compliance documentation
  • Enhanced group chat feature documentation for platform
  • Added Google AI ADK Integration documentation
  • Fixed documentation images and links
• Setup: Fixed Mem0 setup, logging, and documentation issues

Bug Fixes:

• MongoDB: Fixed MongoDB Vector Store misaligned strings and classes
• vLLM: Fixed missing OpenAI import in vLLM module and call errors
• Dependencies: Fixed CI issues related to missing dependencies
• Installation: Reverted pip install changes

​

2025-06-30

v0.1.113

Bug Fixes:

• Gemini: Fixed Gemini embedder configuration

​

2025-06-27

v0.1.112

New Features:

• Memory: Added immutable parameter to add method
• OpenMemory: Added async_mode parameter support

Improvements:

• Documentation:
  • Enhanced platform feature documentation
  • Fixed documentation links
  • Added async_mode documentation
• MongoDB: Fixed MongoDB configuration name

Bug Fixes:

• Bedrock: Fixed Bedrock LLM, embeddings, tools, and temporary credentials
• Memory: Fixed memory categorization by updating dependencies and correcting API usage
• Gemini: Fixed Gemini Embeddings and LLM issues

​

2025-06-23

v0.1.111

New Features:

• OpenMemory:
  • Added OpenMemory augment support
  • Added OpenMemory Local Support using new library
• vLLM: Added vLLM support integration

Improvements:

• Documentation:
  • Added MCP Client Integration Guide and updated installation commands
  • Improved Agent Id documentation for Mem0 OSS Graph Memory
• Core: Added JSON parsing to solve hallucination errors

Bug Fixes:

• Gemini: Fixed Gemini Embeddings migration

​

2025-06-20

v0.1.110

New Features:

• Baidu: Added Baidu vector database integration

Improvements:

• Documentation:
  • Updated changelog
  • Fixed example in quickstart page
  • Updated client.update() method documentation in OpenAPI specification
• OpenSearch: Updated logger warning

Bug Fixes:

• CI: Fixed failing CI pipeline

​

2025-06-19

v0.1.109

New Features:

• AgentOps: Added AgentOps integration
• LM Studio: Added response_format parameter for LM Studio configuration
• Examples: Added Memory agent powered by voice (Cartesia + Agno)

Improvements:

• AI SDK: Added output_format parameter
• Client: Enhanced update method to support metadata
• Google: Added Google Genai library support

Bug Fixes:

• Build: Fixed Build CI failure
• Pinecone: Fixed pinecone for async memory

​

2025-06-14

v0.1.108

New Features:

• MongoDB: Added MongoDB Vector Store support
• Client: Added client support for summary functionality

Improvements:

• Pinecone: Fixed pinecone version issues
• OpenSearch: Added logger support
• Testing: Added python version test environments

​

2025-06-11

v0.1.107

Improvements:

• Documentation:
  • Updated Livekit documentation migration
  • Updated OpenMemory hosted version documentation
• Core: Updated categorization flow
• Storage: Fixed migration issues

​

2025-06-09

v0.1.106

New Features:

• Cloudflare: Added Cloudflare vector store support
• Search: Added threshold parameter to search functionality
• API: Added wildcard character support for v2 Memory APIs

Improvements:

• Documentation: Updated README docs for OpenMemory environment setup
• Core: Added support for unique user IDs

Bug Fixes:

• Core: Fixed error handling exceptions

​

2025-06-03

v0.1.104

Bug Fixes:

• Vector Stores: Fixed GET_ALL functionality for FAISS and OpenSearch

​

2025-06-02

v0.1.103

New Features:

• LLM: Added support for OpenAI compatible LLM providers with baseUrl configuration

Improvements:

• Documentation:
  • Fixed broken links
  • Improved Graph Memory features documentation clarity
  • Updated enable_graph documentation
• TypeScript SDK: Updated Google SDK peer dependency version
• Client: Added async mode parameter

​

2025-05-26

v0.1.102

New Features:

• Examples: Added Neo4j example
• AI SDK: Added Google provider support
• OpenMemory: Added LLM and Embedding Providers support

Improvements:

• Documentation:
  • Updated memory export documentation
  • Enhanced role-based memory attribution rules documentation
  • Updated API reference and messages documentation
  • Added Mastra and Raycast documentation
  • Added NOT filter documentation for Search and GetAll V2
  • Announced Claude 4 support
• Core:
  • Removed support for passing string as input in client.add()
  • Added support for sarvam-m model
• TypeScript SDK: Fixed types from message interface

Bug Fixes:

• Memory: Prevented saving prompt artifacts as memory when no new facts are present
• OpenMemory: Fixed typos in MCP tool description

​

2025-05-15

v0.1.101

New Features:

• Neo4j: Added base label configuration support

Improvements:

• Documentation:
  • Updated Healthcare example index
  • Enhanced collaborative task agent documentation clarity
  • Added criteria-based filtering documentation
• OpenMemory: Added cURL command for easy installation
• Build: Migrated to Hatch build system

​

2025-05-10

v0.1.100

New Features:

• Memory: Added Group Chat Memory Feature support
• Examples: Added Healthcare assistant using Mem0 and Google ADK

Bug Fixes:

• SSE: Fixed SSE connection issues
• MCP: Fixed memories not appearing in MCP clients added from Dashboard

​

2025-05-07

v0.1.99

New Features:

• OpenMemory: Added OpenMemory support
• Neo4j: Added weights to Neo4j model
• AWS: Added support for Opsearch Serverless
• Examples: Added ElizaOS Example

Improvements:

• Documentation: Updated Azure AI documentation
• AI SDK: Added missing parameters and updated demo application
• OSS: Fixed AOSS and AWS BedRock LLM

​

2025-04-30

v0.1.98

New Features:

• Neo4j: Added support for Neo4j database
• AWS: Added support for AWS Bedrock Embeddings

Improvements:

• Client: Updated delete_users() to use V2 API endpoints
• Documentation: Updated timestamp and dual-identity memory management docs
• Neo4j: Improved Neo4j queries and removed warnings
• AI SDK: Added support for graceful failure when services are down

Bug Fixes:

• Fixed AI SDK filters
• Fixed new memories wrong type
• Fixed duplicated metadata issue while adding/updating memories

​

2025-04-23

v0.1.97

New Features:

• HuggingFace: Added support for HF Inference

Bug Fixes:

• Fixed proxy for Mem0

​

2025-04-16

v0.1.96

New Features:

• Vercel AI SDK: Added Graph Memory support

Improvements:

• Documentation: Fixed timestamp and README links
• Client: Updated TS client to use proper types for deleteUsers
• Dependencies: Removed unnecessary dependencies from base package

​

2025-04-09

v0.1.95

Improvements:

• Client: Fixed Ping Method for using default org_id and project_id
• Documentation: Updated documentation

Bug Fixes:

• Fixed mem0-migrations issue

​

2025-04-26

v0.1.94

New Features:

• Integrations: Added Memgraph integration
• Memory: Added timestamp support
• Vector Stores: Added reset function for VectorDBs

Improvements:

• Documentation:
  • Updated timestamp and expiration_date documentation
  • Fixed v2 search documentation
  • Added “memory” in EC “Custom config” section
  • Fixed typos in the json config sample

​

2025-04-21

v0.1.93

Improvements:

• Vector Stores: Initialized embedding_model_dims in all vectordbs

Bug Fixes:

• Documentation: Fixed agno link

​

2025-04-18

v0.1.92

New Features:

• Memory: Added Memory Reset functionality
• Client: Added support for Custom Instructions
• Examples: Added Fitness Checker powered by memory

Improvements:

• Core: Updated capture_event
• Documentation: Fixed curl for v2 get_all

Bug Fixes:

• Vector Store: Fixed user_id functionality
• Client: Various client improvements

​

2025-04-16

v0.1.91

New Features:

• LLM Integrations: Added Azure OpenAI Embedding Model
• Examples:
  • Added movie recommendation using grok3
  • Added Voice Assistant using Elevenlabs

Improvements:

• Documentation:
  • Added keywords AI
  • Reformatted navbar page URLs
  • Updated changelog
  • Updated openai.mdx
• FAISS: Silenced FAISS info logs

​

2025-04-11

v0.1.90

New Features:

• LLM Integrations: Added Mistral AI as LLM provider

Improvements:

• Documentation:
  • Updated changelog
  • Fixed memory exclusion example
  • Updated xAI documentation
  • Updated YouTube Chrome extension example documentation

Bug Fixes:

• Core: Fixed EmbedderFactory.create() in GraphMemory
• Azure OpenAI: Added patch to fix Azure OpenAI
• Telemetry: Fixed telemetry issue

​

2025-04-11

v0.1.89

New Features:

• Langchain Integration: Added support for Langchain VectorStores
• Examples:
  • Added personal assistant example
  • Added personal study buddy example
  • Added YouTube assistant Chrome extension example
  • Added agno example
  • Updated OpenAI Responses API examples
• Vector Store: Added capability to store user_id in vector database
• Async Memory: Added async support for OSS

Improvements:

• Documentation: Updated formatting and examples

​

2025-04-09

v0.1.87

New Features:

• Upstash Vector: Added support for Upstash Vector store

Improvements:

• Code Quality: Removed redundant code lines
• Build: Updated MAKEFILE
• Documentation: Updated memory export documentation

​

2025-04-07

v0.1.86

Improvements:

• FAISS: Added embedding_dims parameter to FAISS vector store

​

2025-04-07

v0.1.84

New Features:

• Langchain Embedder: Added Langchain embedder integration

Improvements:

• Langchain LLM: Updated Langchain LLM integration to directly pass the Langchain object LLM

​

2025-04-07

v0.1.83

Bug Fixes:

• Langchain LLM: Fixed issues with Langchain LLM integration

​

2025-04-07

v0.1.82

New Features:

• LLM Integrations: Added support for Langchain LLMs, Google as new LLM and embedder
• Development: Added development docker compose

Improvements:

• Output Format: Set output_format=‘v1.1’ and updated documentation

Documentation:

• Integrations: Added LMStudio and Together.ai documentation
• API Reference: Updated output_format documentation
• Integrations: Added PipeCat integration documentation
• Integrations: Added Flowise integration documentation for Mem0 memory setup

Bug Fixes:

• Tests: Fixed failing unit tests

​

2025-04-02

v0.1.79

New Features:

• FAISS Support: Added FAISS vector store support

​

2025-04-02

v0.1.78

New Features:

• Livekit Integration: Added Mem0 livekit example
• Evaluation: Added evaluation framework and tools

Documentation:

• Multimodal: Updated multimodal documentation
• Examples: Added examples for email processing
• API Reference: Updated API reference section
• Elevenlabs: Added Elevenlabs integration example

Bug Fixes:

• OpenAI Environment Variables: Fixed issues with OpenAI environment variables
• Deployment Errors: Added package.json file to fix deployment errors
• Tools: Fixed tools issues and improved formatting
• Docs: Updated API reference section for expiration date

​

2025-03-26

v0.1.77

Bug Fixes:

​

2025-03-19

v0.1.76

New Features:

• Supabase Vector Store: Added support for Supabase Vector Store
• Supabase History DB: Added Supabase History DB to run Mem0 OSS on Serverless
• Feedback Method: Added feedback method to client

Bug Fixes:

• Azure OpenAI: Fixed issues with Azure OpenAI
• Azure AI Search: Fixed test cases for Azure AI Search

​

2026-07-13

v3.1.0

The largest provider release for the TypeScript OSS SDK so far: 17 new vector stores, 5 new LLM providers, 4 new embedders, and reranking support. Importing mem0ai/oss no longer pulls in any provider SDK, so you only install what you actually configure.New Features:

• Rerankers: Add reranking to the OSS SDK with four providers (Cohere, ZeroEntropy, cross-encoder, and LLM-based), plus per-search rerank via a rerank option on search() ( #6055)
• Memory (OSS): Accept text in Memory.update(). data still works but is now deprecated, so prefer text in new code ( #6044)
• Vector Stores: Add Pinecone ( #5802), Weaviate ( #5800), Milvus ( #5889), Chroma ( #6145), MongoDB ( #5793), Elasticsearch ( #5866), and OpenSearch ( #5810)
• Vector Stores: Add Databricks ( #5824), AWS Neptune Analytics ( #5797), S3 Vectors ( #5822), Azure MySQL ( #5827), and Google Vertex AI Vector Search ( #5791)
• Vector Stores: Add Turbopuffer ( #5801), Upstash Vector ( #5811), Valkey ( #5826), Cassandra ( #5823), and Baidu Mochow ( #5790)
• LLMs: Add AWS Bedrock ( #5890), xAI Grok ( #6115), Together ( #6049), vLLM ( #5805), and Sarvam ( #6130)
• Embeddings: Add Vertex AI ( #5882), HuggingFace ( #6027), FastEmbed ( #5862), and Together ( #5989)

Improvements:

• Packaging: Lazy-load optional provider SDKs so importing mem0ai/oss never requires them. Provider packages are now resolved on first use, so an app that only configures OpenAI and Qdrant does not need the other provider SDKs installed ( #6280)

Bug Fixes:

• Memory (OSS): Re-raise LLM extraction transport failures instead of returning [], so a network error during extraction surfaces as an error rather than a silently empty result ( #6102)
• Vector Stores: Prevent an unhandled promise rejection in the Supabase and Redis constructors ( #6111)
• Client: Encode dynamic URL path segments so IDs containing special characters no longer produce malformed requests ( #5963)

Security:

• Dependencies: Patch the fast-xml-parser and tar transitive CVEs ( #6160)

​

2026-07-01

v3.0.13

Bug Fixes:

• Embeddings: Guard against an embed_batch count mismatch in the OpenAI and Azure OpenAI embedders ( #5966)
• LLMs: Handle empty Google chat candidates without crashing ( #5817)

​

2026-06-27

v3.0.12

New Features:

• Client: Add expirationDate to AddMemoryOptions, update(), and the Memory interface; add showExpired to SearchMemoryOptions and GetAllMemoryOptions ( #5874)
• LLMs: Add MiniMaxLLM provider backed by the OpenAI-compatible MiniMax API (api.minimax.io/v1, default model MiniMax-M2.7) ( #5858)
• LLMs: Add LiteLLM provider for routing requests through a local or hosted LiteLLM proxy ( #5830)
• Vector Stores: Add connectionString and ssl options to the PGVector config, allowing connection via URI instead of individual host/user/password/port fields ( #5789)

Bug Fixes:

• Memory (OSS): Validate and trim entity IDs (userId, agentId, runId) in deleteAll() via validateAndTrimEntityId ( #5735)
• Vector Stores: Use nullish coalescing for hash and timestamps in the Redis insert() and update() paths so entity payloads that omit those fields no longer crash ( #5860)

Security:

• Dependencies: Bump undici to >=6.27.0 via pnpm override to remediate CVE-2026-12151 ( #5861)

​

2026-06-24

v3.0.11

Bug Fixes:

• Memory (OSS): Align entity extraction with Python by reducing generic entity noise, preserving useful topic phrases, and exact-deduplicating entity links before semantic matching ( #5829)

​

2026-06-24

v3.0.10

Bug Fixes:

• Memory (OSS): Guard against malformed image_url entries in parseVisionMessages to prevent crashes ( #5631)
• Memory (OSS): Return attributedTo from get(), search(), and getAll() ( #5675)
• Memory (OSS): Preserve message roles in the extraction input so assistant facts aren’t attributed to the user ( #5643)
• Memory (OSS): Reject empty or blank messages in Memory.add() to prevent hallucinated memories ( #5545)
• Memory (OSS): Check message.role instead of content when detecting system messages ( #3921)
• LLMs: Honor the configured baseURL in AnthropicLLM ( #5740)
• Client: Preserve customCategories names through key conversion ( #5741)
• Client: Prevent hallucinated memories on an empty messages payload ( #5613)
• Client: Preserve user metadata keys across the case-conversion round-trip ( #5515)

Security:

• Dependencies: Upgrade form-data to >=4.0.6 across pnpm workspaces to remediate CVE-2026-12143 ( #5618)

​

2026-06-17

v3.0.9

Bug Fixes:

• LLMs: Fix Anthropic tool_choice format: was incorrectly sent as a bare string "auto" (rejected by the API); now correctly sent as { type: "auto" }. Also fixes tool response parsing: tool_use blocks are now parsed into toolCalls objects instead of throwing. Updated default model to claude-sonnet-4-6 and default max_tokens to 2000 to match the Python provider. Added temperature, topP, and maxTokens to LLMConfig so Anthropic params can be configured ( #5537)
• Memory (OSS): Preserve custom metadata fields during update(): fields such as category, priority, and other user-defined keys were previously dropped on update; the existing payload is now spread before applying the new data ( #5480)
• Client: Preserve user-defined schema keys in createMemoryExport ( #5594)

Security:

• Dependencies: Bump esbuild to >=0.28.1 across all npm packages via pnpm overrides to remediate upstream vulnerability ( #5563)

​

2026-06-13

v3.0.8

New Features:

Security:

• Dependencies: Upgrade @langchain/community to ^1.1.18 to remediate CVE-2026-27795 and CVE-2026-26019 ( #5510)
• Dependencies: Resolve all open MEDIUM Dependabot alerts via pnpm overrides ( #5489)

​

2026-06-10

v3.0.7

New Features:

• Embeddings: Add LMStudioEmbedding provider for local embeddings via the LM Studio server ( #5377)
• Memory: Add opt-in explain: true option to Memory.search(). When enabled, each result includes a scoreBreakdown object with semantic, keyword, entityBoost, and temporalBoost fields so callers can inspect and tune retrieval ranking ( #5102)

Bug Fixes:

• Memory: Parallelize entity boost searches in Memory.search(). All entity embed + store lookups now run concurrently instead of sequentially, eliminating multi-second latency on entity-rich queries with remote embedding providers ( #5377)
• Vector Stores: Normalize similarity scores to [0, 1] (higher = better): fixed score inversion in the Redis vector store adapter ( #5391)
• Embeddings: Request encoding_format: "float" from the OpenAI embedder in both embed() and embedBatch(). Fixes incorrect vector dimensions when using OpenAI-compatible proxies that default to base64 encoding ( #5170)

​

2026-06-01

v3.0.6

Security:

• Dependencies: Bumped axios to ^1.16.0 to remediate high-severity prototype-pollution CVEs (credential theft, MITM, DoS). Pinned transitive dependencies via pnpm overrides: jws → 4.0.1 (CVE-2025-65945), langsmith → ^0.6.0 (CVE-2026-45134), tar-fs → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), picomatch → ^2.3.2 (CVE-2026-33671), minimatch → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), path-to-regexp → ^8.4.0 (CVE-2026-4926), rollup → ^4.59.0 (CVE-2026-27606), glob → ^10.5.0 (CVE-2025-64756), @modelcontextprotocol/sdk → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)

​

2026-05-27

v3.0.5

New Features:

• Client:delete() accepts an options object with deleteLinked (serialized as delete_linked, default false). When true, deleting a memory also removes the older memories it superseded (the v3 linked chain), transitively: the delete-side counterpart of latestOnly, so a superseded memory does not resurface after the current one is deleted ( #5270)

​

2026-05-26

v3.0.4

Bug Fixes:

• Vector Stores: PGVector adapter now supports rich filter operators (eq, ne, gt, gte, lt, lte, in, nin, contains, icontains, wildcard *, $or, $not) in search(), keywordSearch(), and list(). Previously only exact-equality filters worked: operator objects were passed as raw values and returned incorrect results ( #5263)

​

2026-05-08

v3.0.3

Bug Fixes:

• Telemetry: Stitch OSS and platform PostHog identities on MemoryClient init so $identify events fire and a single user is no longer tracked as two or three disconnected personas ( #5040)
• Vector Stores: Fix inverted vector distance in PGVector implementation ( #4944)
• Security: Harden against SQL injection and prompt injection ( #4997)

New Features:

• SDK: Expose decay on project.update ( #5062)

​

2026-04-25

v3.0.2

Bug Fixes:

• LLMs: Forward timeout config to OpenAI client in JS OSS LLM providers ( #4770)

Improvements:

• Telemetry: Harden TS telemetry version injection and require changelog entry on version bump ( #4900)
• Docs: Update memory tool list, CLI usage, and config file reading logic ( #4861)

​

2026-04-20

v3.0.1

Bug Fixes:

• Telemetry: SDK version is now injected into telemetry at build time via esbuild’s define, replacing the two hardcoded version strings in src/client/telemetry.ts and src/oss/src/utils/telemetry.ts. Previously these were stuck at 2.1.36 and 2.1.34 while the published package was on 3.x, so every telemetry event was reporting the wrong client_version. The placeholder is substituted with a string literal at bundle time: no runtime require("./package.json") in the shipped bundle ( #4897).

​

2026-04-14

v3.0.0

Major Release: TypeScript SDK with V3 memory pipeline, camelCase parameters, and cleaned-up API surface.V3 Memory Pipeline (OSS):

• Single-Pass Extraction: Additive extraction pipeline aligned with Python SDK: memories accumulate, no UPDATE/DELETE events ( #4805)
• Entity Extraction & Linking: New entity_extraction.ts module (720+ lines) with cross-memory relationship retrieval ( #4805)
• Message Persistence: SQLite-based message history via new SQLiteManager.ts with rolling window for LLM context ( #4805)
• Batch Embeddings:embedBatch() support in OpenAI and Azure embedding providers ( #4805)
• Scoring & Lemmatization: New scoring.ts and lemmatization.ts utilities for hybrid search ( #4805)
• New Prompts:prompts/index.ts (592+ lines) with additive extraction prompt aligned with Python SDK ( #4805)
• V3 API Endpoints:MemoryClient.add() now posts to /v3/memories/add/; MemoryClient.getAll() posts to /v3/memories/ with paginated envelope { count, next, previous, results } ( #4856)
• Default model:gpt-5-mini is now the default in OpenAI, OpenAIStructured, and Azure LLM providers ( #4829)

Breaking Changes:

• External Graph Store Removed (OSS):graph_memory.ts (675 lines), graphs/tools.ts (267 lines), graphs/utils.ts (116 lines), graphs/configs.ts (30 lines) deleted. The external graph store integration is no longer part of the OSS SDK; graph memory now runs natively as built-in entity linking ( #4805)
• camelCase Parameters (Client SDK): All user-facing parameters converted from snake_case to camelCase. Mapping is transparent at API boundary via camelToSnakeKeys() / snakeToCamelKeys() ( #4776)

// Before
client.add(messages, { user_id: "alice", top_k: 5 });
// After
client.add(messages, { userId: "alice", topK: 5 });

• Per-Method Option Types: Replaced monolithic MemoryOptions with typed interfaces: AddMemoryOptions, SearchMemoryOptions, GetAllMemoryOptions, DeleteAllMemoryOptions ( #4740)
• Removed Deprecated Parameters:org_id, project_id, api_version, output_format, async_mode, enable_graph, limit removed from client method signatures. ClientOptions reduced to { apiKey, host } only ( #4740)
• limit renamed to topK (OSS): Update all search calls ( #4740)
• topK default changed 100 → 20 in Memory.getAll() and Memory.search(). Pass topK: 100 explicitly to restore the old behavior ( #4843)
• Entity ID validation:userId / agentId / runId are trimmed; empty-string and whitespace-only values now throw ( #4843)
• Search params validation:threshold must be in [0, 1]; topK must be a non-negative integer: invalid inputs throw ( #4843)
• messages in Memory.add() is required: Passing undefined or null now throws ( #4843)
• customPrompt renamed to customInstructions (OSS): Update memory and vector store configurations ( #4740)
• enableGraph removed (OSS): Config option removed: graph memory no longer available in OSS ( #4776)

New Features:

• LLMs: Added DeepSeek LLM provider with OpenAI-compatible integration using custom baseURL to api.deepseek.com ( #4613)
• Entity store isolation:MemoryVectorStore now uses a dedicated _entities.db file, preventing entity/memory store collisions ( #4829, #4841)
• Payload backward compatibility: Legacy camelCase payload keys normalized to snake_case on read ( #4841)

Bug Fixes:

• V3 migration: Fixed crashes in the OSS migration path; entity linking works end-to-end ( #4836)
• PGVector init race:PGVector.initialize() now memoises the in-flight init promise ( #4841)
• Redis module detection: Handles both node-redis v4+ and legacy moduleList response shapes ( #4841)
• Config: Fixed ConfigManager.mergeConfig() to only include graphStore when explicitly provided by user, preventing default Neo4j connection attempts ( #4776)
• LLMs: Config manager now falls back to userConf.url for baseURL: prevents custom LLM providers (Ollama, LMStudio) from silently connecting to OpenAI ( #4761)

Improvements:

• Telemetry: Sample OSS hot-path events at 10% to reduce PostHog event volume ( #4771)

See the TypeScript SDK migration guide for upgrade instructions.

​

2026-04-06

v2.4.6

New Features & Updates:

• Client: Added multilingual parameter to project update types ( #4314)

​

2026-04-01

v2.4.5

Bug Fixes:

• OSS: Replace .single() with .maybeSingle() in SupabaseDB.get() to handle missing rows ( #4599)
• Embeddings: Pass dimensions parameter to OpenAI embeddings API ( #4632)
• OSS: Extract JSON from chatty LLM responses in fact retrieval ( #4533)

​

2026-03-28

v2.4.4

Bug Fixes:

• OSS: Fixed Qdrant Cloud “Illegal host” error by defaulting to port 6333 when URL has no explicit port ( #4565)

​

2026-03-26

v2.4.3

New Features & Updates:

• OSS: Added pgvector support to NodeJS OSS VectorStoreFactory ( #3997)

Bug Fixes:

• OSS: Made pgvector pg import compatible with ESM ( #4544)
• OSS: Registered pgvector in VectorStoreFactory ( #4502)
• OSS: Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ( #4466)
• OSS: Fixed toCamelCase in Redis get method for the payload ( #3172)
• Client: Fixed Zod Schema incompatibility with OpenAI Structured Outputs API ( #3462)

​

2026-03-19

v2.4.2

Bug Fixes:

• Client: Fixed webhook createWebhook and updateWebhook API serialization
• Client: Added missing MEMORY_CATEGORIZED event type to WebhookEvent enum
• Types: Added WebhookCreatePayload and WebhookUpdatePayload for better type safety

Tests:

• Added end-to-end unit test coverage for the platform client: CRUD, batch, search, webhooks, users, project, and initialization (#4357)
• Added real API integration tests for memory CRUD, batch operations, search, user management, project configuration, and webhook lifecycle (#4395)
• Deleted obsolete e2e test files replaced by the new structured test suite (#4419)

​

2026-03-16

v2.4.1

Bug Fixes:

• Core: Fixed code block content extraction: content inside code blocks is now properly extracted instead of being deleted (#4317)

Improvements:

• Code Quality: Fixed linting issues across the SDK (#4334)

​

2026-03-14

v2.4.0

Bug Fixes:

• OSS Storage: Fixed SQLITE_CANTOPEN errors when running as a LaunchAgent, systemd service, or in containers where process.cwd() is read-only (e.g. /). Default vector_store.db location changed from process.cwd()/vector_store.db to ~/.mem0/vector_store.db.
• OSS Storage: Fixed historyDbPath config being silently ignored: config merging always overwrote it with defaults. Top-level historyDbPath is now correctly propagated into historyStore.config with proper precedence.
• OSS Storage: Added ensureSQLiteDirectory(): parent directories for SQLite database files are now auto-created before opening, preventing SQLITE_CANTOPEN when using nested paths.

Improvements:

• Migration: Added deprecation warning when an existing vector_store.db is found at the old process.cwd() location, guiding users to move it or set vectorStore.config.dbPath explicitly.
• Config: Limited default SQLite config spreading to only SQLite history providers, preventing config leaking into Supabase or other providers.

​

2026-03-09

v2.3.0

Breaking Changes:

• Dependencies: Minimum Node.js version for OSS sqlite features is now Node 20+ (due to better-sqlite3 v12)

Bug Fixes:

• OSS Storage: Replaced sqlite3 with better-sqlite3 to fix native binding resolution failures under jiti-based loaders (e.g. OpenClaw plugin system). Fixes issues where the bindings module walked V8 stack frames with synthetic filenames, failing to locate the native .node addon.
• OSS Storage: Fixed async init race condition in SQLiteManager: init() is now synchronous
• OSS Vector Store: Migrated MemoryVectorStore from sqlite3 to better-sqlite3 with transactional batch inserts

Improvements:

• Performance: Cached prepared statements in SQLiteManager for faster history operations
• Performance: Batch insert() in MemoryVectorStore wrapped in a transaction for atomicity
• Build: Updated tsup.config.ts externals from sqlite3 to better-sqlite3

​

2026-02-17

v2.2.3

New Features & Updates:

• Memory Update:
  • Added timestamp parameter to update(): accepts Unix epoch or ISO 8601 string

​

2026-01-29

v2.2.2

New Features & Updates:

• Project Settings:
  • Added inclusion prompt, exclusion prompt, memory depth, and usecase setting

​

2025-12-30

v2.2.1

Improvements:

• Client: Added support for keyword arguments in add and search methods, allowing additional properties beyond defined options for experimental features

​

2025-12-29

v2.2.0

New Features:

• Vector Stores: Added Azure AI Search vector store support

Improvements:

• Config: Fixed embedder config schema to support embeddingDims and url parameters
• Graph Memory: Replaced hardcoded LLM provider with provider from configuration

Bug Fixes:

• Embedders: Fixed hardcoded embeddingDims values in embedders (OpenAI, Ollama, Google, Azure)
• Build: Fixed TypeScript build errors

​

2025-09-04

v2.1.38

New Features:

• Client: Added metadata param to update method.

​

2025-08-04

v2.1.37

New Features:

• OSS: Added RedisCloud search module check

​

2025-07-08

v2.1.36

New Features:

• Client: Added structured_data_schema param to add method.

​

2025-07-08

v2.1.35

New Features:

• Client: Added createMemoryExport and getMemoryExport methods.

​

2025-07-03

v2.1.34

New Features:

• OSS: Added Gemini support

​

2025-06-24

v2.1.33

Improvement:

• Client: Added immutable param to add method.

​

2025-06-20

v2.1.32

Improvement:

• Client: Made api_version V2 as default.

​

2025-06-17

v2.1.31

Improvement:

• Client: Added param filter_memories.

​

2025-06-06

v2.1.30

New Features:

• OSS: Added Cloudflare support

Improvements:

• OSS: Fixed baseURL param in LLM Config.

​

2025-05-30

v2.1.29

Improvements:

• Client: Added Async Mode Param for add method.

​

2025-05-30

v2.1.28

Improvements:

• SDK: Update Google SDK Peer Dependency Version.

​

2025-05-27

v2.1.27

Improvements:

• OSS: Added baseURL param in LLM Config.

​

2025-05-23

v2.1.26

Improvements:

• Client: Removed type string from messages interface

​

2025-05-08

v2.1.25

Improvements:

• Client: Improved error handling in client.

​

2025-05-06

v2.1.24

New Features:

• Client: Added new param output_format to match Python SDK.
• Client: Added new enum OutputFormat for v1.0 and v1.1

​

2025-05-05

v2.1.23

New Features:

• Client: Updated deleteUsers to use v2 API.
• Client: Deprecated deleteUser and added deprecation warning.

​

2025-05-02

v2.1.22

New Features:

• Client: Updated deleteUser to use entity_id and entity_type

​

2025-05-01

v2.1.21

Improvements:

• OSS SDK: Bumped version of @anthropic-ai/sdk to 0.40.1

​

2025-04-28

v2.1.20

Improvements:

• Client: Fixed organizationId and projectId being assigned to default in ping method

​

2025-04-22

v2.1.19

Improvements:

• Client: Added support for timestamps

​

2025-04-17

v2.1.18

Improvements:

• Client: Added support for custom instructions

​

2025-04-15

v2.1.17

New Features:

• OSS SDK: Added support for Langchain LLM
• OSS SDK: Added support for Langchain Embedder
• OSS SDK: Added support for Langchain Vector Store
• OSS SDK: Added support for Azure OpenAI Embedder

Improvements:

• OSS SDK: Changed model in LLM and Embedder to use type any from string to use langchain llm models
• OSS SDK: Added client to vector store config for langchain vector store
• OSS SDK: - Updated Azure OpenAI to use new OpenAI SDK

​

2025-04-11

v2.1.16-patch.1

Bug Fixes:

• Azure OpenAI: Fixed issues with Azure OpenAI

​

2025-04-11

v2.1.16

New Features:

• Azure OpenAI: Added support for Azure OpenAI
• Mistral LLM: Added Mistral LLM integration in OSS

Improvements:

• Zod: Updated Zod to 3.24.1 to avoid conflicts with other packages

​

2025-04-09

v2.1.15

Improvements:

• Client: Added support for Mem0 to work with Chrome Extensions

​

2025-04-01

v2.1.14

New Features:

• Mastra Example: Added Mastra example
• Integrations: Added Flowise integration documentation for Mem0 memory setup

Improvements:

• Demo: Updated Demo Mem0AI
• Client: Enhanced Ping method in Mem0 Client
• AI SDK: Updated AI SDK implementation

​

2025-03-29

v2.1.13

Improvements:

• Introduced ping method to check if API key is valid and populate org/project id

​

2025-03-29

AI SDK v1.0.0

New Features:

• Vercel AI SDK Update: Support threshold and rerank

Improvements:

• Made add calls async to avoid blocking
• Bump mem0ai to use 2.1.12

​

2025-03-26

v2.1.12

New Features:

• Mem0 OSS: Support infer param

Improvements:

• Updated Supabase TS Docs
• Made package size smaller

​

2025-03-19

v2.1.11

New Features:

• Supabase Vector Store Integration
• Feedback Method

​

2026-07-13

Python v0.2.10 / Node v0.2.11

Bug Fixes:

• Platform backend: Encode dynamic URL path segments so memory and entity IDs containing special characters no longer produce malformed requests (Python and Node #5963)

​

2026-07-01

Python v0.2.9 / Node v0.2.10

Bug Fixes:

• entity delete: Keep every deleted entity in the result output instead of only the last one (Python #5936, Node #5970)
• Output formatters (Python): Handle null memory fields in the output formatters instead of erroring ( #5957)
• Config (Python): Reject invalid integer config values with a clean error instead of a traceback ( #5956)

​

2026-06-19

Python v0.2.8 / Node v0.2.9

Security:

• Telemetry key handling: CLI telemetry no longer passes the Mem0 API key to a child process through command-line arguments. The context is sent over stdin, so the key is not visible in ps, /proc/<pid>/cmdline, or Activity Monitor. Fixes #4862.

Bug Fixes:

• Python package version:__version__ now matches the packaged mem0-cli version.

​

2026-06-01

Node v0.2.8

Security:

• Dependencies: Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: jws → 4.0.1 (CVE-2025-65945), langsmith → ^0.6.0 (CVE-2026-45134), tar-fs → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), picomatch → ^2.3.2 (CVE-2026-33671), minimatch → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), path-to-regexp → ^8.4.0 (CVE-2026-4926), rollup → ^4.59.0 (CVE-2026-27606), glob → ^10.5.0 (CVE-2025-64756), @modelcontextprotocol/sdk → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)

​

2026-05-20

Python v0.2.7 / Node v0.2.7

New Features:

• mem0 whoami: Prints the active agent’s default_user_id from local config without a network call.
• mem0 agent-rush <add | search>: Wraps the /v1/agent-rush/ platform endpoints for the AGENTRUSH game. Project routing is resolved server-side, and platform error codes are shown as actionable hints.
• PII safety prompt: The first interactive mem0 agent-rush add asks users to acknowledge that AGENTRUSH memories are public. The acknowledgement is stored in ~/.mem0/config.json under agent_rush.acknowledged_at.
• Config schema: Added agent_rush.acknowledged_at for the local acknowledgement timestamp.

Changes:

• Agent Rush telemetry: Agent Rush commands send X-Mem0-Mode: agent-rush so platform telemetry can split game traffic from regular CLI usage.

​

2026-05-16

Python v0.2.6 / Node v0.2.6

Bug Fixes:

• Claim flow error message: The email_already_claimed tip in mem0 init --email previously suggested running mem0 link <key>: a command that doesn’t exist. Replaced with honest copy pointing the user to sign in at app.mem0.ai with their existing credentials ( #5152)

​

2026-05-14

Python v0.2.5 / Node v0.2.5

New Features:

• Agent Mode (mem0 init --agent): Zero-friction signup for AI agents: mints a working Mem0 API key in under 5 seconds with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with mem0 init --email <their-email> (memories preserved, same key keeps working) ( #5123)
• Self-declared agent identity: Agents pass --agent-caller <name> (e.g. claude-code, cursor, codex) on mem0 init --agent so signups attribute to the right tool in analytics. Proof Editor-style: the agent declares itself rather than the CLI sniffing it from env vars ( #5123)
• mem0 identify <name>: New subcommand to self-tag an Agent Mode key after the fact when the agent forgot to pass --agent-caller on init. Idempotent: re-running just overwrites ( #5123)
• Plugin sync:~/.claude/settings.json::env::MEM0_API_KEY and ~/.zshrc/.bashrc``export MEM0_API_KEY= lines stay in sync with ~/.mem0/config.json automatically. Idempotent: only updates EXISTING entries, never creates new ones ( #5123)
• Claim flow:mem0 init --email <email> claims an existing Agent Mode shadow via OTP. Upgrade-in-place: the API key never changes, memories transfer to the human’s account ( #5123)

Bug Fixes:

• Decision tree network resilience:pingKey now distinguishes network errors from invalid keys: returns false ONLY on HTTP 401/403, returns true on connection failures / timeouts / 5xx. Prevents a VPN flap from silently rotating the user’s API key and rewriting plugin-sync targets ( #5123)
• Rate-limit error clarity: DRF’s opaque "You do not have permission" 403 from Agent Mode rate limits is now translated to "Daily Agent Mode signup limit reached for this network (5/day). Try again from a different IP or after midnight UTC." ( #5123)
• JSON envelope command field:mem0 init --agent --json error envelopes now populate the command field correctly instead of returning an empty string ( #5123)
• Bootstrap envelope validation: Defends against partial/malformed backend responses (e.g. {api_key: null}) silently persisting null/undefined into typed string fields ( #5123)

​

2026-04-22

Python v0.2.4 / Node v0.2.4

New Features:

• V3 API Routes: Migrated add, search, and list commands from v1/v2 to v3 API endpoints: POST /v3/memories/add/, POST /v3/memories/search/, POST /v3/memories/. Aligns both CLIs with the Python and TypeScript SDKs which already use v3 ( #4916)

Breaking Changes:

• --graph / --no-graph removed: The enable_graph config option, --graph and --no-graph CLI flags, and MEM0_ENABLE_GRAPH environment variable have been removed from both CLIs. Graph memory is now a project-level setting on the Platform ( #4916)

​

2026-04-11

Python v0.2.3 / Node v0.2.3

Bug Fixes:

• Telemetry: Replaced shared "anonymous-cli" fallback with a persistent per-machine random hash (cli-anon-<uuid>), so anonymous CLI users are counted individually in PostHog instead of collapsing into one identity ( #4789)
• Telemetry: Added PostHog $identify event on first authenticated run to stitch pre-signup anonymous history onto the authenticated user profile ( #4789)

Improvements:

• API: All API calls now include source=CLI in request bodies (POST/PUT) and query params (GET/DELETE) for server-side attribution ( #4789)

​

2026-04-06

Python v0.2.2 / Node v0.2.2

New Features:

• Telemetry: Added PostHog telemetry and source tracking to both Python and Node CLIs ( #4699)
• Validation: API key validated upfront via /v1/ping/ on startup: fail-fast with a helpful error instead of cryptic 401s ( #4701)

Bug Fixes:

• CD: Fixed OIDC trusted publishing with npx npm@latest ( #4724)
• CD: Removed npm self-upgrade from CD workflows ( #4723)

​

2026-04-03

Python v0.2.1 / Node v0.2.1

New Features:

• Docs: Comprehensive README with installation, usage examples, and purple branding ( #4680)

Bug Fixes:

• npm: Added repository field to Node packages for npm provenance ( #4671)
• CD: Added CD workflows for Node SDK packages with OIDC trusted publishing ( #4670)

​

2026-04-02

Python v0.2.0 / Node v0.1.1

New Features:

• event commands:mem0 event list shows recent background processing events in a table; mem0 event status <id> shows full detail including nested memory results ( #4649)
• --json / --agent flag: Root-level flag switches all command output to a structured JSON envelope for programmatic/agent consumption. Envelope format: {"status", "command", "duration_ms", "scope", "count", "data"} ( #4649)
• Agent output sanitization: Raw API responses projected to only relevant fields per command (e.g., add → {id, memory, event}, search → {id, memory, score, created_at, categories}) ( #4649)
• Email login: Added email verification code login to mem0 init ( #4623)
• Brand update: Updated color palette from purple to golden ( #4664)
• CI/CD: Added CI pipelines and CD workflows for both CLIs ( #4640, #4653)

Bug Fixes:

• Node: Fixed critical MODULE_NOT_FOUND crash on status, import, and all commands when installed globally: replaced runtime createRequire with build-time version injection ( #4636)
• Node: API errors now show full response detail instead of bare “Bad Request” ( #4636)
• Python: Fixed double error printing on all commands ( #4636)
• status command: Replaced heavyweight /v1/entities/ check with dedicated GET /v1/ping/ endpoint ( #4649)
• add command: Deduplicated PENDING results from API; changed misleading count message ( #4649)
• init command: Partial flags now work in non-TTY; warns before overwriting existing config; added --force flag ( #4649)
• delete command: Fixed entity delete via v2 API for all entity types ( #4649)

Improvements:

• Tables now show full UUIDs (was truncated to 8 chars, making mem0 get <id> fail) ( #4636)
• Search table includes Score column ( #4636)
• config get api_key short-form aliases added ( #4636)
• Client-side validation for --expires, --page-size, --page, --top-k, --threshold, and empty content ( #4636)
• printInfo / printScope moved to stderr to avoid contaminating JSON piping ( #4636)

​

2026-03-26

Python v0.1.0 / Node v0.1.0

Initial Release: Official Mem0 CLIA full-featured command-line interface for Mem0, available in both Python and Node.js:

• Install:pip install mem0-cli (Python) or npm install -g @mem0/cli (Node.js)

• Full command suite:add, search, list, get, update, delete, import, config, init, status, entity

• Interactive setup:mem0 init with API key entry and user ID configuration

• Works everywhere: Platform (Mem0 Cloud) and self-hosted OSS modes

• Scriptable:-o json flag for CI/CD pipelines and automation

• Dual SDK: Same commands, same experience across Python and Node.js

• Shared spec: Both implementations driven by a single cli-spec.json ensuring identical behavior ( #4575)

• Mem0 Plugin

• OpenCode

• Antigravity

• OpenClaw

• Pi Agent

• Vercel AI SDK

​

2026-07-14

mem0-plugin v0.2.13

Fixes:

• Assistant messages no longer stored as your own: The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant’s own message to Mem0 tagged role: "user". Because Mem0 extracts facts about the user from each message and uses role to decide who spoke, the assistant’s first-person prose was being saved as the human’s stated preferences — “I recommend we drop Redis” became User prefers dropping Redis entirely. Both hooks now send role: "assistant", so the same session is stored as Assistant recommended.... Affects Claude Code, Cursor, Codex, and Antigravity, which share these hooks.

Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them — the plugin will not recreate them.

​

2026-06-30

mem0-plugin v0.2.12

New Features:

• Query-driven prefetch: The UserPromptSubmit hook now searches Mem0 with the current prompt and injects the top matches, so relevant memories are guaranteed in context instead of relying on the agent to search for them. Opt out with MEM0_PREFETCH=false.

Improvements:

• Multi-hop guidance: The decision rubric now tells the agent to run follow-up searches for multi-part or comparative questions instead of stopping after one. Tool descriptions for every memory tool were sharpened with clearer “what + when to use” guidance.

​

2026-06-25

mem0-plugin v0.2.11

Fixes:

• Session summary metadata:files_touched now stores a real list instead of a double-encoded JSON string, so returned memories render readable file paths across Claude Code, Cursor, Codex, and Antigravity.

Improvements:

• Reranked auto-injected context: File-context, bash-error lookup, and session-resume prefetch now rerank by default. Disable with MEM0_RERANK=0, false, no, or off.

​

2026-06-25

mem0-plugin v0.2.10

Fixes:

• Editor telemetry attribution: Antigravity is no longer counted as Claude Code, Codex no longer falls back to the generic plugin bucket, and Cursor wrappers now pin their platform before delegating to shared hook scripts.
• Per-editor plugin version: Telemetry reads the manifest for the detected platform instead of always reading the Claude plugin manifest.

New Features:

• MEM0_PLATFORM override: Explicit platform markers now win over env-var auto-detection for reliable telemetry labels.

​

2026-06-25

mem0-plugin v0.2.9

New Features:

• File-context injection: Before supported editors read a file, Mem0 searches for memories that reference that path and injects a compact prior-work timeline.
• Stop hook session summaries: Session-end hooks store structured summaries with request, decisions, learnings, next steps, and files touched.
• SessionStart activity timeline: Sessions with existing memories show recent decisions, bug fixes, and session summaries on startup.

Changes:

• Added shared file_context.py, capture_session_summary.py, and session_timeline.py helpers for the hook pipeline.

​

2026-06-25

mem0-plugin v0.2.8

New Features:

• Global search mode:global_search lets reads search all users and projects in the platform project while writes stay scoped to the current user_id and app_id.
• Automatic coding categories: The coding taxonomy is installed in the background on session start and gated by an API-key and taxonomy fingerprint.
• Global scope controls:/mem0:switch-project --global and /mem0:switch-project --no-global persist global-search behavior in ~/.mem0/settings.json.
• Scope-aware startup: Session banners show scope=global when global search is active, and startup memory counts use the same global filter.
• Category setup state:~/.mem0/categories_setup.json caches setup per Mem0 account and taxonomy fingerprint, so categories are applied once and re-applied only when the taxonomy changes.
• Tests: Added coverage for category fingerprints, state-file gating, state save/load, and idempotent category application.

Changes:

• Session start spawns auto_setup_categories.py in the background alongside project-file auto-import.
• Onboarding no longer asks users to install coding categories manually; it verifies status and applies categories only if the background run has not finished.
• New-project startup copy now tells users that coding categories install automatically.

​

2026-06-25

mem0-plugin v0.2.7

Fixes:

• First-install auth: Removed authorizationUrl from .mcp.json so Claude Code uses the MEM0_API_KEY header instead of falling into a broken OAuth reconnect flow.
• Onboarding auth copy:/mem0:onboard no longer tells users to complete browser OAuth.
• Invalid configure command: Removed claude plugin configure mem0 references and clarified that Claude Code stores the plugin API key through the enable UI prompt.

​

2026-06-25

mem0-plugin v0.2.6

Fixes:

• Memory count and stats: Removed the run_id: "*" filter from read paths so memories written without run_id are visible again.
• Write scoping:add_memory moved session tracking from top-level run_id to metadata.session_id, keeping new memories in the default query partition.
• Session stats: Memory add/search tracking moved into enforce_metadata_defaults.sh, because plugin MCP tools do not trigger PostToolUse hooks.
• Auto-capture reliability: Added direct API auto-capture every third message plus a proportional prompt nudge when few memories have been stored.
• Desktop API keys:_identity.sh and _identity.py can read MEM0_API_KEY from common shell profiles when Claude Code Desktop does not inherit shell env vars.
• Import cleanup: Stale auto-import chunks now delete through the v1 delete endpoint, matching Mem0 v3 add behavior.

Removed:

• Removed Stop and SessionEnd hook capture paths, redundant post-commit/task/subagent scripts, dead settings, and the deleted file-read test.

Changes:

• Stats and tour now query with user_id + app_id filters only.
• Session banners now tell agents to store learnings incrementally instead of waiting until session end.
• Session-start resets per-user message counters so nudges begin cleanly.

​

2026-06-25

mem0-plugin v0.2.5

Fixes:

• Hook schema: PostToolUse scripts now read tool_response, Stop hook output is schema-compliant, and SessionStart uses visible raw stdout.
• Tool coverage: Memory write blocking includes MultiEdit, and metadata enforcement covers add, search, get, update, and delete-all variants.
• Identity injection:add_memory, search_memories, get_memories, and delete_all_memories receive safe default user_id and app_id values when the agent omits them.
• Skill API calls: Export, stats, pin, health, memory-reviewer, dream, tour, onboard, context-loader, and weekly stats examples now use the correct filter and top_k shapes.
• Compact summary capture:capture_compact_summary.py is spawned correctly after compaction and guarded against unset identity variables.

New Features:

• Stop hook analyzer: Added stop_hook_check.py to detect meaningful work before prompting memory capture.
• Skill checklists: Added progress checklists to /mem0:dream and /mem0:onboard.

Changes:

• enforce_metadata_defaults.sh was rewritten around handler-based dispatch and never overrides explicitly provided identity.

​

2026-06-25

mem0-plugin v0.2.4

Fixes:

• PostToolUse matcher: Supports both mcp__mem0__ and mcp__plugin_mem0_mem0__ names so session stats record memory operations again.
• File-read noise: File-read recall now prefers metadata.files plus score threshold before falling back to basename search.
• Pinning:/mem0:pin no longer uses removed immutable=True; it relies on pinned metadata/text conventions.
• Project listing:/mem0:list-projects merges null-scoped and app-scoped memories so legacy records are counted.
• ID lookup:/mem0:peek routes memory-id references to get_memory instead of semantic search.

New Features:

• Session ID capture: SessionStart persists the Claude session ID for session-scoped memory operations.
• Search controls:_search.py gained min_score, metadata filters, rerank, and threshold support.
• Reranked tour and peek:/mem0:tour and /mem0:peek use reranking for better precision.

Removed:

• Removed the nonexistent PostToolUseFailure hook and the superseded /mem0:protocol skill.

​

2026-06-25

mem0-plugin v0.2.3

New Features:

• Read hook: Added PreToolUse(Read) file recall with skip rules for non-code files, lockfiles, and node_modules.
• Shared search module: Added _search.py for v3 search calls and consistent context formatting.
• Settings file: Added ~/.mem0/settings.json with search, retention, confidence, debug, and capture settings.
• Memory skills: Added /mem0:forget, /mem0:peek, /mem0:memory-reviewer, and /mem0:context-loader.
• Compact output style: Added compact [type] content [mem0:id] memory display.
• Claude userConfig: Added sensitive api_key plugin config support.

Changes:

• Skills were renamed to shorter command names, bash-error hooks now run real searches, resume prompts prefetch context, and remember-intent phrases route to /mem0:remember.
• API key resolution now checks CLAUDE_PLUGIN_OPTION_API_KEY, and hook timeouts increased for prompt and bash-output searches.

Removed:

• Removed /mem0:dream --forget, /mem0:dream --schedule, /mem0:health --fix, and CLI config fallback.

​

2026-06-25

mem0-plugin v0.2.2

Fixes:

• Compaction writes: Prevented duplicate pre-compaction captures and shortened session-state content before letting Mem0 infer structured memories.
• Error detection: Reduced false positives from routine test and linter output.
• Git commit noise: Removed automatic background commit-context writes and gated post-commit prompts behind settings.
• Project identity: Added git-remote hash fallback when folders are renamed.
• Dependency install race: Added a lock and failure sentinel for ensure_deps.sh.
• Telemetry: Switched distinct_id from MD5 to SHA-256, protected system props, and loaded plugin version from the manifest.

New Features:

• Chunking and import: Added shared chunking helpers and Markdown chunk imports.
• Metadata defaults: Added enforce_metadata_defaults.sh for default confidence, source, and type on add_memory.
• Project utilities: Added list-projects, all-project tour, weekly stats, dream forget mode, and competing-tools import.

Removed:

• Removed on_pre_commit.py and merged digest, forget, import-tools, and peek flows into existing skills.

​

2026-06-25

mem0-plugin v0.2.1

New Features:

• Skill suite: Added 11 skills for dream, export, import, tool import, forget, health, peek, pin, remember, stats, and digest.
• Hook suite: Added bash-error recall, git/commit context hooks, compaction recovery, session-end capture, subagent reminders, tool-failure recovery, and pre-commit capture.
• Telemetry: Added sampled PostHog telemetry with no memory content or API keys and MEM0_TELEMETRY=false opt-out.
• Coding categories: Added 10 more coding categories and dependency-managed SDK install through ensure_deps.sh.
• Project onboarding: Added auto-onboarding, mem0.md config loading, inactive API-key banner, import/export parsers, and competing-tool import.

Changes:

• Memory scoping moved from metadata.project_id to top-level app_id, and write paths moved to /v3/memories/add/.
• Session stats gained category counters and recent memory IDs.
• Tour, onboard, prompt hooks, and MCP guidance were updated for project-aware workflows.

Fixes:

• Shared scripts now resolve plugin API-key env vars consistently and pass hook CWD into project/branch resolution.

​

2026-06-25

mem0-plugin v0.2.0

New Features:

• Project-scoped memories: Deterministic project IDs from git remotes isolate memories per repo.
• Branch-aware tagging: Session-state and compact-summary memories include branch metadata.
• Project file import: SessionStart imports CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules, and mem0.md as project-profile memories.
• Active identity banner: Startup shows user, project, branch, and memory count.
• Session report: Stop hook reports memory writes, retrieves, and touched categories.
• Onboarding, tour, and switch-project skills: Added first-run setup, proof-of-value browsing, and manual project override.
• Session stats tracker: Added local add/search tracking for reports.

​

2026-04-02

mem0-plugin v0.1.3

Fixes:

• User ID regression:user_id resolution no longer derives from MEM0_API_KEY, restoring MEM0_USER_ID to $USER to default order so older memories remain reachable.

Upgrade Notes:

• The ~/.mem0/identity.json cache is no longer used.
• Users who stored memories under the short-lived API-key hash can recover them by temporarily setting MEM0_USER_ID to the old hash.

​

2026-04-02

mem0-plugin v0.1.2

New Features:

• Identity resolver: Added deterministic user-id resolver, later reverted in v0.1.3.
• Compact summaries: Added SessionStart compact handler for compact_summary memories.
• Coding taxonomy setup: Added one-shot coding category setup for architecture, anti-patterns, task learnings, tooling, bug fixes, conventions, and preferences.
• Debug logging: Added opt-in hook logs with MEM0_DEBUG=1.
• Shared MCP skill: Replaced the Claude-Code-specific Codex skill with mem0-mcp.

Fixes:

• Session IDs are stored in memory metadata, startup exits quietly without an API key, memory-write blocking avoids docs/memory/*.md, duplicate compact writes were removed, and hook captures now expire after 90 days.

​

2026-04-02

mem0-plugin v0.1.1

Fixes:

• Cursor plugin became fully functional.
• Codex plugin support and integration docs were added.
• Codex lifecycle hooks became available through the opt-in installer.
• Invalid Claude plugin config keys were removed.

​

2026-04-02

mem0-plugin v0.1.0

Mem0 Plugin for Claude Code, Cursor, and CodexInitial release of the Mem0 plugin for Claude Code and Cursor, followed by Codex support:

• 9 MCP memory tools:add_memory, search_memories, get_memories, get_memory, update_memory, delete_memory, delete_all_memories, delete_entities, list_entities: all via mcp.mem0.ai.
• Lifecycle hooks: Automatic memory capture at session start, context compaction, task completion, and session end.
• Cloud MCP server: Managed endpoint replaces local MCP and Smithery setup.
• Streamable HTTP transport: New MCP transport protocol for real-time streaming.
• Codex-specific skill: Dedicated skill in mem0-plugin/skills/mem0-codex for Codex workflows.

​

2026-06-30

OpenCode plugin v0.2.1

Improvements:

• Sharper tool descriptions: Every memory tool (get_memories, get_memory, update_memory, delete_memory, delete_all_memories, delete_entities, list_entities, get_event_status) now states what it does and when to use it. search_memories nudges proactive, multi-hop retrieval and the destructive tools carry explicit irreversible-action warnings.

​

2026-06-22

OpenCode plugin v0.2.0

Breaking Changes:

• Native SDK tools: Memory tools are registered through @opencode-ai/plugin and backed by the mem0ai SDK directly. The plugin no longer registers or depends on mcp.mem0.ai.
• Skills load in place: The config hook adds opencode-skills/ to skills.paths; skills are no longer copied into user config directories.
• Focused skill set: Trimmed to 9 skills: context-loader, dream, forget, status, search, scope, pin, remember, and tour.

New Features:

• Memory scopes: Memory operations support project, session, and global scope, with /mem0-scope for changing the default.
• Auto-dream: Gated memory consolidation can merge duplicates, drop stale/sensitive entries, and rewrite vague memories.
• Expanded telemetry: OpenCode emits the shared plugin.* schema, including prompt, bash-error, pre-compact, session-stop, dream-triggered, and dream-completed events.

Fixes:

• Project ID detection: Git remote parsing now handles HTTPS, SSH, and custom SSH host aliases before falling back to the repo root.
• Auto-dream visibility:/mem0-status shows which dream gate is blocking consolidation.
• Delete-all safety: User-wide deletes require explicit scope="global", regardless of the default scope.

​

2026-06-22

OpenCode plugin v0.1.3

New Features:

• File-context injection: Before a file read, the plugin searches for memories referencing that path and injects prior work as system context.
• Structured compaction summaries: Session compaction stores session_summary memories with infer=True.
• Recent activity timeline: Initial memory loading shows typed memories with age labels instead of bare text.
• PostHog telemetry: Anonymous plugin telemetry uses the shared plugin.* schema and never sends memory content, prompts, or API keys.

​

2026-06-22

OpenCode plugin v0.1.2

New Features:

• Automatic coding categories: Sets up 17 coding categories at startup, idempotently and in the background.
• Global search mode: Adds global_search support across initial load, per-message recall, resume detection, error lookup, and compaction context.
• Global search env: Exports MEM0_GLOBAL_SEARCH to child shells via the shell.env hook.

Changes:

• Search filters now follow the global_search setting instead of always using project-scoped filters.
• Resume and error-pattern searches broadened by removing narrow metadata type filters.

​

2026-06-22

OpenCode plugin v0.1.1

Changes:

• Renamed the package to @mem0/opencode-plugin ( #5272).
• Added the plugin array to the bundled opencode.json ( #5271).
• Fixed tsconfig, added publishConfig and the bun lockfile ( #5273).
• Validated the CI/CD publish flow ( #5288).

​

2026-04-02

OpenCode plugin v0.1.0

Initial Release:

• Native OpenCode plugin: Added @mem0/opencode-plugin with TypeScript hooks for chat messages, tool execution, system-message transforms, session compaction, and shell env injection.
• Memory tooling: Added add, search, update, delete, delete-all, entity tools, session-start memory loading, per-prompt semantic search, error-pattern lookup, auto-capture, and compaction capture.
• Skills and commands: Bundled 16 OpenCode-native Mem0 skills and slash commands.
• Safety: Blocks MEMORY.md writes and redacts secrets before memory storage.

​

2026-07-14

Antigravity plugin v0.1.5

Fixes:

​

2026-06-30

Antigravity plugin v0.1.4

New Features:

• Query-driven prefetch: The user-prompt hook now searches Mem0 with the current prompt and injects the top matches, so relevant memories are guaranteed in context instead of relying on the agent to search for them. Opt out with MEM0_PREFETCH=false.

Improvements:

• Multi-hop guidance: The decision rubric now tells the agent to run follow-up searches for multi-part or comparative questions instead of stopping after one.

​

2026-06-25

Antigravity plugin v0.1.3

Fixes:

• Readable session metadata: Stop-hook session summaries now store files_touched as a real list instead of a double-encoded JSON string, so returned memories show clean file paths.

Improvements:

• Reranked injected context: File-context, bash-error lookup, and session-resume recall now rerank by default for higher-quality automatic context. Disable with MEM0_RERANK=0, false, no, or off.

​

2026-06-25

Antigravity plugin v0.1.2

Fixes:

• Telemetry attribution: Antigravity is now reported as antigravity instead of being counted as Claude Code.
• Per-editor version reporting: Telemetry reads Antigravity’s own plugin.json, so events report the Antigravity plugin version instead of the Claude plugin version.

New Features:

• Platform override support: Shared scripts honor MEM0_PLATFORM when an editor needs to pin its telemetry platform explicitly.

​

2026-04-02

Antigravity plugin v0.1.0

Initial Release:

• Self-contained plugin: Added Antigravity plugin packaging with plugin.json, mcp_config.json, hooks.json, lifecycle hooks, shared scripts, and shared Mem0 skills.
• AGENTS.md support: Uses Antigravity’s contextFileName: "AGENTS.md" convention.
• Shared memory layer: Reuses the Mem0 Platform MCP server, shared hook scripts, and 16 slash-command skills.
• Lifecycle hooks: Wires session start, user prompt, file read, memory-tool metadata enforcement, bash output, post-tool tracking, and stop summaries.
• Install options: Supports degit installs into ~/.gemini/config/plugins/mem0 and local Antigravity plugin installs.
• Codex parity: Added missing Codex Write/Edit/MultiEdit blocking and pre-compaction hooks during the shared-plugin restructure.

​

2026-06-30

openclaw-mem0 v1.0.14

Improvements:

• Sharper tool descriptions: Every memory tool (memory_search, memory_get, memory_list, memory_add, memory_update, memory_delete) now states what it does and when to use it. memory_search nudges proactive, multi-hop retrieval; memory_add nudges proactive saves; and the delete tools carry explicit irreversible-action warnings.

​

2026-06-12

openclaw-mem0 v1.0.13

Fixes:

• Custom categories payload:customCategories is converted into the list shape expected by the Mem0 SDK before add calls ( #5345).
• Metadata registration:register() exits early in cli-metadata mode, avoiding backend initialization and hook installation during OpenClaw metadata scans ( #5383).

Security:

• Bumped mem0ai to 3.0.7 and added a uuid override to resolve known dependency advisories ( #5460, #5489).

Improvements:

• Repo consolidation: OpenClaw moved to integrations/openclaw/; npm provenance now points to the correct subdirectory ( #5491).

​

2026-06-02

openclaw-mem0 v1.0.12

Docs:

• Agent Mode onboarding: README documents mem0 init --agent --json for autonomous setup without email, OTP, or browser.

Security:

• Added overrides for langsmith, picomatch, vite, and @qdrant/js-client-rest.

Dependencies:

• Bumped mem0ai to 3.0.3 and refreshed Vitest coverage tooling.

​

2026-04-29

openclaw-mem0 v1.0.11

New Features:

• Skills-mode auto-setup: Onboarding enables triage, recall, dream consolidation, and full tool profile automatically.
• Memory runtime capability: Exposes runtime.getMemorySearchManager() and resolveMemoryBackendConfig().
• Dimension-aware collections: OSS wizard creates a new collection when embedder dimensions change.
• Tool docs in skills: Memory triage and dream skills now include full tool reference sections.

Improvements:

• Auto-capture and auto-recall default to enabled.
• Skills prefer memory_update over delete+add for atomic edits.
• Default search threshold lowered to 0.1 for broader recall.
• Config writes preserve OpenClaw gateway plugins state.

​

2026-04-23

openclaw-mem0 v1.0.10

Security:

• Telemetry identity now uses SHA-256 hashes instead of MD5, and user email is hashed before telemetry submission.

Fixes:

• Version-pinned installs are rewritten to updatable specs.
• searchThreshold is standardized across docs, README, and manifest.
• PLUGIN_VERSION is injected at build time from package.json.

Manifest Compliance:

• Removed non-spec manifest fields and moved endpoint declarations to spec-compliant providerEndpoints.

​

2026-04-22

openclaw-mem0 v1.0.9

Security & Compliance:

• Manifest security metadata: Added required env var declarations, sensitive config schema fields, data locations, privacy notes, and external endpoint declarations for platform and OSS modes.
• Static-analysis cleanup: Tests now use vi.stubEnv / vi.unstubAllEnvs instead of direct environment access in places flagged by plugin scanning.

Tests:

• Expanded coverage to 421 tests across 15 files.

​

2026-04-21

openclaw-mem0 v1.0.8

New Features:

• OSS onboarding wizard: Guided setup for LLM provider, embedding provider, vector store, and user ID.
• Agent-friendly CLI:--json added to all 16 CLI commands.
• Non-interactive OSS setup: Added --mode open-source with --oss-llm, --oss-embedder, and --oss-vector.
• JSON helpers: Added structured jsonOut, jsonErr, and redactSecrets helpers.

​

2026-04-20

openclaw-mem0 v1.0.7

New Features:

• Chat-based setup: Users can configure the Mem0 platform connection inside OpenClaw chat instead of editing config files manually.

Improvements:

• V3 SDK compatibility: Bumped the mem0ai dependency to 3.0.1 for Mem0 v3 API support.
• Config cleanup: Removed deprecated orgId, projectId, and enableGraph setup paths from docs and CLI prompts.
• Noise filtering: Expanded memory-add filtering and improved JSON extraction when model output includes leading text.

​

2026-04-11

openclaw-mem0 v1.0.6

Fixes:

• Telemetry identity: Anonymous users now get a persistent per-machine hash instead of the shared anonymous-openclaw fallback.
• Telemetry stitching: First authenticated runs emit $identify so anonymous history can attach to the authenticated profile.
• CLI event flushing: Short-lived CLI invocations flush queued telemetry before exit.
• Email resolution: API-key-only users resolve email lazily through /v1/ping/.

Improvements:

• OpenClaw source tag: Provider calls now send source: "OPENCLAW" across add, search, list, recall, CLI, and OSS backend paths.

​

2026-04-07

openclaw-mem0 v1.0.5

Fixes:

• Init menu selection:openclaw mem0 init number choices now select the intended option.
• OSS pgvector recovery: Warmup errors now reset initialization so failed pgvector clients do not cascade into repeated client.connect() failures.

Removed:

• Removed orgId, projectId, and enableGraph from config, CLI, providers, backend, and tools because API keys are project-scoped and graph memory moved to platform-level configuration.

​

2026-04-04

openclaw-mem0 v1.0.4

OpenClaw Plugin: Production-Ready

• Interactive init flow:openclaw mem0 init supports email verification and direct API key setup.
• Unified tools:memory_add and memory_delete replace legacy memory tools and match Mem0 naming.
• CLI commands: Added init, status, config, import, event list, and event status.
• Modular architecture: Extracted tools, CLI, filesystem safety, and backend modules.
• Security and tests: Added path traversal protection, pinned dependencies, and 329 tests across 10 files.

​

2026-04-03

openclaw-mem0 v1.0.3

Fixes:

• Path traversal protection: Added safePath() containment checks for skill and domain-overlay reads.
• Noise filter correction: Restored the Post-Compaction pattern after an incorrect rename.

Security:

• Pinned mem0ai to exact 2.3.0.

​

2026-04-02

openclaw-mem0 v1.0.2

Fixes:

• Env resolution: Removed plugin-side env-var expansion from config because OpenClaw already resolves env references before plugin registration.

​

2026-04-02

openclaw-mem0 v1.0.1

New Features:

• CD workflow: Added trusted-publishing release workflow.
• Plugin metadata: Added compatibility and build metadata to package.json.
• License: Added Apache-2.0 license file.

Fixes:

• Dream gate: Fixed cheap-first ordering, session isolation, and completion verification.
• Graceful startup: Plugin starts cleanly when no API key is configured.

​

2026-04-01

openclaw-mem0 v1.0.0

New Features:

• Skills-based memory architecture: Added the skill loader, memory triage skill, memory dream skill, batched extraction, and skill-aware recall.
• Dream gate: Added idle-period memory consolidation.
• Enhanced recall: Added recall.ts with improved retrieval and injection logic.
• Plugin manifest: Added openclaw.plugin.json and setup helper scripts.

​

2026-03-26

openclaw-mem0 v0.4.1

New Features:

• Extraction quality: Improved noise filtering, deduplication, and extraction instructions.

Fixes:

• Improved credential, API key, and secret detection during extraction.
• Prevented standalone timestamps from being stored as memories.

​

2026-03-16

openclaw-mem0 v0.4.0

New Features:

• Trigger filtering: Skips recall and capture for cron, heartbeat, automation, and schedule triggers.
• Subagent isolation: Routes ephemeral subagent sessions back to the parent namespace.
• Dynamic recall thresholding: Drops candidates below 50% of the top score.
• OSS resilience: Adds SQLite init retry and oss.disableHistory.

Fixes:

• Lifecycle hooks now use ctx.sessionKey directly, removing a concurrent-session race.

​

2026-03-12

openclaw-mem0 v0.3.1

New Features:

• Message filtering pipeline: Multi-stage noise removal before extraction.
• Broad recall: Short or new-session prompts trigger secondary broad search.
• Temporal anchoring: Extraction instructions include the current date.

Changes:

• Extraction now reads the last 20 messages and the monolithic plugin file was split into focused modules.

​

2026-03-10

openclaw-mem0 v0.3.0

Fixes:

• Updated mem0ai for the SQLite to better-sqlite3 migration.

​

2026-03-09

openclaw-mem0 v0.2.0

New Features:

• Multi-agent isolation: Added per-agent memory isolation via agentId.
• Docs: Added guidance for understanding userId.

Fixes:

• Migrated platform search to the Mem0 v2 API.

​

2026-02-19

openclaw-mem0 v0.1.2

New Features:

• Added a source field for OpenClaw memory entries.

Fixes:

• Fixed auto-recall injection and auto-capture message drops.

​

2026-02-02

openclaw-mem0 v0.1.0

Initial Release:

• Memory backend: Added Mem0 Cloud and self-hosted OSS modes for OpenClaw.
• Auto-recall: Injects relevant memories before each turn.
• Auto-capture: Stores facts after each turn.
• Config: Added topK, threshold, and apiVersion options.

​

2026-06-30

Pi Agent plugin v0.1.3

New Features:

• Guaranteed retrieval: Memories relevant to each prompt are now prefetched and injected as a <mem0-relevant-memories> block before the agent runs, so context no longer depends on the agent remembering to search. Context injection is on by default; set contextInjection: false to disable.

Improvements:

• Multi-hop retrieval: The memory policy and the mem0_memory tool description now push proactive, multi-hop search — several queries with different phrasings instead of stopping after one.
• Clearer tool schema: The mem0_memory action and parameter descriptions (action, query, content, memory_id, scope) now explain each action and scope.

​

2026-06-12

Pi Agent plugin v0.1.2

Fixes:

• Visible command feedback:/mem0-remember, /mem0-forget, /mem0-pin, and /mem0-scope now render persistent message blocks instead of easy-to-miss status notifications.
• Relevance-filtered search: Search, forget, and pin commands now pass threshold, top_k, and rerank to avoid weak unrelated matches.

Improvements:

• Richer command output: Commands show scope, query, match counts, and affected memories.
• Cleaner dream flow:/mem0-dream keeps the consolidation protocol hidden behind a concise status line.
• Configurable relevance floor:searchThreshold defaults to 0.3 in mem0-config.json and is shown in /mem0-status.

​

2026-06-10

Pi Agent plugin v0.1.1

Chores:

• Version bump to validate the new pi-agent-plugin-checks.yml and pi-agent-plugin-cd.yml release pipeline.

​

2026-06-09

Pi Agent plugin v0.1.0

Initial Release:

• Extension entry point: Registers the mem0_memory tool, 8 slash commands, and auto-capture hooks.
• Agent tool: Supports search, add, get-all, delete, and delete-all with scoped filters.
• Slash commands: Adds /mem0-remember, /mem0-forget, /mem0-search, /mem0-tour, /mem0-dream, /mem0-pin, /mem0-scope, and /mem0-status.
• Auto-capture: Extracts and stores memories from user and assistant messages on agent_end.
• Dream consolidation: Merges duplicates, resolves contradictions, and prunes stale entries behind session, time, and memory-count gates.
• System prompt injection: Appends MEMORY_POLICY before every agent turn.
• Project scoping: Uses git rev-parse --show-toplevel for stable app_id values across monorepos.
• Scopes and categories: Supports project, session, and global scopes plus 10 default memory categories.
• Agent skills: Bundles context-loader, remember, search, forget, dream, tour, pin, and status skills.
• Safety: Confirmation dialogs protect destructive commands, pins preserve memory IDs, full memory UUIDs stay visible, outputs are truncated, all tool actions respect AbortSignal, and shutdown releases dream locks.
• Telemetry: Batched PostHog telemetry uses PII-safe error payloads.

​

2026-06-10

Vercel AI SDK v3.0.0

Major Release: Migrated to Vercel AI SDK v6 (LanguageModelV3 / ProviderV3) and Mem0 v3 API.Breaking Changes:

• AI SDK v6: Upgraded from AI SDK v5 (LanguageModelV2) to v6 (LanguageModelV3). Users must upgrade ai to ^6.0.199 and all @ai-sdk/* provider packages to ^3.x ( #4741)
• Mem0 v3 API: Memory endpoints migrated from /v1/memories/ and /v2/memories/search/ to /v3/memories/add/ and /v3/memories/search/. Entity IDs (user_id, agent_id, run_id) now go inside the filters object for search requests ( #4741)
• Graph memory removed: All enable_graph, graph prompts, and relation-extraction code removed. Graph memory is now a project-level setting on the Platform ( #4741)
• Deprecated params removed:org_id, project_id, org_name, project_name, output_format, filter_memories, async_mode, enable_graph, version, api_version removed from Mem0ConfigSettings ( #4741)

New Features:

• V3 provider contract:specificationVersion: 'v3', supportedUrls property, V3 content array in doGenerate, V3 stream lifecycle events in doStream ( #4741)
• Mem0 source in responses: Memories are attached as a source in generateText/streamText responses with providerMetadata.mem0.memories for programmatic access ( #4741)
• Raw search helper:searchMemories() is exported alongside addMemories(), retrieveMemories(), and getMemories() for callers that need raw semantic search results.
• Self-hosted API support:mem0ApiKey and host can be passed per request, letting apps override the environment API key and point at a custom Mem0 API base URL.
• Provider coverage: Built-in provider selection covers OpenAI, Anthropic, Google/Gemini, Groq, and Cohere through the AI SDK provider packages.
• Multimodal memory input: File, image, Markdown, and PDF prompt parts are converted into the Mem0-compatible message shape when adding or searching memories.

Bug Fixes:

• Async memory storage:addMemories is now properly awaited: memories no longer silently fail to store ( #4741)
• Prompt mutation: Prompt array is now cloned before injecting memory context, preventing side effects on the caller’s array ( #4741)
• Null guard on content:doGenerate guards against null content from upstream providers ( #4741)
• Stream response:doStream now returns the full LanguageModelV3StreamResult object preserving all V3 fields ( #4741)
• Response normalization:getMemories and retrieveMemories now handle both array and {results: [...]} envelope responses from the v3 API ( #4741)

​

2026-06-01

Vercel AI SDK v2.0.6

Security:

• Dependencies: Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: glob → ^10.5.0 (CVE-2025-64756), minimatch → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), picomatch → ^2.3.2 (CVE-2026-33671), rollup → ^4.59.0 (CVE-2026-27606)

​

2025-12-26

Vercel AI SDK v2.0.5

Bug Fix:

• Removed unnecessary dependencies to make the package lighter.

​

2025-09-25

Vercel AI SDK v2.0.3 – v2.0.4

New Features:

• Added file support for multimodal capabilities with memory context (v2.0.3)

Bug Fix:

• Fixed version parameter to use V2 for addition (v2.0.4)

​

2025-09-03

Vercel AI SDK v2.0.2

Bug Fix:

• Fixed streaming response in the AI SDK.

​

2025-08-05

Vercel AI SDK v2.0.0 – v2.0.1

New Features:

• Migration to AI SDK V5 (v2.0.0)
• Added host param to the config (v2.0.1)

​

2025-06-15

Vercel AI SDK v1.0.6

New Features:

• Added filter_memories param.

​

2025-05-23

Vercel AI SDK v1.0.5

New Features:

• Added support for Google provider.

​

2025-05-10

Vercel AI SDK v1.0.3 – v1.0.4

New Features:

• Added support for output_format param (v1.0.4)

Improvements:

• Added graceful failure handling when services are down (v1.0.3)

​

2025-05-01

Vercel AI SDK v1.0.1

New Features:

• Added support for graph memories.

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