Overview - Mem0

Mem0 Integration Overview

Mem0 seamlessly integrates with popular AI frameworks and tools to enhance your LLM-based applications with persistent memory capabilities. By integrating Mem0, your applications benefit from:

• Enhanced context management across multiple frameworks
• Consistent memory persistence across different LLM interactions
• Optimized token usage through efficient memory retrieval
• Framework-agnostic memory layer
• Simple integration with existing AI tools and frameworks

Universal Integration: Use Mem0 MCP for a standardized protocol that works with ANY AI client.

Here are the available integrations for Mem0:

Integrations

1. AgentOps
   Monitor and analyze Mem0 operations with comprehensive AI agent analytics and LLM observability.

2. Camel AI
   Use Mem0Storage to persist Camel multi-agent conversations and share cloud memory across agents.

3. LangChain
   Integrate Mem0 with LangChain to build powerful agents with memory capabilities.

4. LlamaIndex
   Build RAG applications with LlamaIndex and Mem0.

5. AutoGen
   Build multi-agent systems with persistent memory capabilities.

6. CrewAI
   Develop collaborative AI agents with shared memory using CrewAI and Mem0.

7. LangGraph
   Create complex agent workflows with memory persistence using LangGraph.

8. Vercel AI SDK
   Build AI-powered applications with memory using the Vercel AI SDK.

9. LangChain Tools
   Use Mem0 with LangChain Tools for enhanced agent capabilities.

10. **[Dify](https://docs.mem0.ai/integrations/dify)**  
    Build AI applications with persistent memory using Dify and Mem0.
    

11. **[Livekit](https://docs.mem0.ai/integrations/livekit)**  
    Integrate Mem0 with Livekit for voice agents.
    

12. **[ElevenLabs](https://docs.mem0.ai/integrations/elevenlabs)**  
    Build voice agents with memory using ElevenLabs Conversational AI.
    

13. **[Pipecat](https://docs.mem0.ai/integrations/pipecat)**  
    Build conversational AI agents with memory using Pipecat.
    

14. **[Agno](https://docs.mem0.ai/integrations/agno)**  
    Build autonomous agents with memory using Agno framework.
    

15. Respan
    Build AI applications with persistent memory and comprehensive LLM observability.

16. **[Raycast](https://docs.mem0.ai/integrations/raycast)**  
    Mem0 Raycast extension for intelligent memory management and retrieval.
    

17. **[Mastra](https://docs.mem0.ai/integrations/mastra)**  
    Build AI agents with persistent memory using Mastra’s framework and tools.
    

18. **[OpenAI Agents SDK](https://docs.mem0.ai/integrations/openai-agents-sdk)**  
    Integrate Mem0 with the OpenAI Agents SDK for persistent memory across multi-agent workflows.
    

19. **[Google ADK](https://docs.mem0.ai/integrations/google-ai-adk)**  
    Integrate Mem0 with Google Agent Development Kit for persistent memory across multi-agent workflows.
    

20. Flowise
    Add persistent Mem0 memory to Flowise chatflows for context-aware conversations in the low-code builder.

21. **[AWS Bedrock](https://docs.mem0.ai/integrations/aws-bedrock)**  
    Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage.
    

22. ChatDev
    Add persistent cloud-managed memory to ChatDev multi-agent workflows with zero-code YAML configuration.