​
Installation

agentstack tools add mem0

Set the API key

MEM0_API_KEY=...

​
Usage

Your agent will be able to write and read from memory. Prompt engineering may be required to instruct the agent when it is important to write and read.

Additionally, 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."

​
Other storage options

Optionally, in 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"
}

​
Installation

agentstack tools add mem0

Set the API key

MEM0_API_KEY=...

​
Usage

Your agent will be able to write and read from memory. Prompt engineering may be required to instruct the agent when it is important to write and read.

Additionally, 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."

​
Other storage options

Optionally, in 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"
}