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Memory for Agents
agentstack tools add mem0
MEM0_API_KEY=...
mem0 allows for a user_id parameter as part of the tool’s function call.
One option is to tell the agent to pass in the appropriate user_id when calling the tool. Another option is to set the user_id in this tool via code.
@tool("Write to Memory")
def write_to_memory(user_message: str) -> str:
"""
Writes data to the memory store for a user. The tool will decide what
specific information is important to store as memory.
"""
messages = [
{"role": "user", "content": user_message},
]
result = client.add(messages, user_id='<any_string>') # configure user
return json.dumps(result)
@tool("Read from Memory")
def read_from_memory(query: str) -> str:
"""
Reads memories related to user based on a query.
"""
memories = client.search(query=query, user_id='<any_string>')
if memories:
return "\n".join([mem['memory'] for mem in memories])
else:
return "No relevant memories found."
src/tools/mem0.py, configure your storage:
config = {
"graph_store": {
"provider": "neo4j",
"config": {
"url": os.getenv("NEO4J_URL"),
"username": os.getenv("NEO4J_USERNAME", 'neo4j'),
"password": os.getenv("NEO4J_PASSWORD"),
}
},
"version": "v1.1"
}