DeepSeek - Mem0
Usage
Python
import os
from mem0 import Memory
os.environ["DEEPSEEK_API_KEY"] = "your-api-key"
os.environ["OPENAI_API_KEY"] = "your-api-key" # for embedder model
config = {
"llm": {
"provider": "deepseek",
"config": {
"model": "deepseek-chat", # default model
"temperature": 0.2,
"max_tokens": 2000,
"top_p": 1.0
}
}
}
m = Memory.from_config(config)
messages = [
{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
m.add(messages, user_id="alice", metadata={"category": "movies"})
TypeScript
import { Memory } from 'mem0ai/oss';
const config = {
llm: {
provider: 'deepseek',
config: {
apiKey: process.env.DEEPSEEK_API_KEY || '',
model: 'deepseek-chat',
temperature: 0.2,
maxTokens: 2000,
top_p: 1.0,
},
},
};
const memory = new Memory(config);
const messages = [
{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
];
await memory.add(messages, { userId: 'alice', metadata: { category: 'movies' } });
Config
You can also configure the API base URL in the config:
config = {
"llm": {
"provider": "deepseek",
"config": {
"model": "deepseek-chat",
"deepseek_base_url": "https://your-custom-endpoint.com",
"api_key": "your-api-key" # alternatively to using environment variable
}
}
}