Yes! Mem0 offers a free Hobby tier with 10,000 memories and 1,000 search calls per month — no credit card required. Paid plans start at $19/month for higher limits. An open-source version (Apache 2.0) is also available for self-hosting.

How does Mem0 extract and store memories?

When you send content to Mem0, its AI automatically extracts key facts and structured information. For example, if you send 'I prefer Python over JavaScript and work best in the morning', Mem0 creates two separate memories: one about language preference and one about work schedule. These are stored in a hybrid architecture (key-value + vector + graph) for fast semantic retrieval.

Can I organize memories by user or agent?

Yes! Every memory operation supports scoping by user_id, agent_id, or run_id. This means you can maintain separate memory banks for different users, different agents, or even different conversation runs — keeping context perfectly isolated.

Mem0 MCP Server for AutoGen 4 tools — connect in under 2 minutes

Name: Mem0
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mem0 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="mem0_agent",
            tools=tools,
            system_message=(
                "You help users with Mem0. "
                "4 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mem0 MCP Server

Connect your AI agent to Mem0 — the industry-standard memory layer that enables agents to remember, learn, and personalize across conversations.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mem0 tools. Connect 4 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Add Memories — Store facts, preferences, and context from conversations. Mem0 AI automatically extracts key information and structures it as searchable memories
Semantic Search — Find relevant memories using natural language queries. Ask 'What does the user prefer?' and get ranked results by relevance
List Memories — View all stored memories for a user to build comprehensive profiles and understand accumulated context
Delete Memories — Remove outdated or incorrect memories to keep the knowledge base clean

The Mem0 MCP Server exposes 4 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mem0 to AutoGen via MCP

Follow these steps to integrate the Mem0 MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 4 tools from Mem0 automatically

Why Use AutoGen with the Mem0 MCP Server

AutoGen provides unique advantages when paired with Mem0 through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mem0 tools to solve complex tasks

Role-based architecture lets you assign Mem0 tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Mem0 tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Mem0 tool responses in an isolated environment

Mem0 + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Mem0 MCP Server delivers measurable value.

Collaborative analysis: one agent queries Mem0 while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Mem0, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Mem0 data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Mem0 responses in a sandboxed execution environment

Mem0 MCP Tools for AutoGen (4)

These 4 tools become available when you connect Mem0 to AutoGen via MCP:

add_memory

The system automatically extracts structured facts from the provided content and stores them as searchable, persistent memories associated with the given user ID. Store a new memory for a user. The AI extracts key facts and preferences from the content and stores them as persistent memories

delete_memory

Use with caution — this action cannot be undone. Delete a specific memory by its ID

get_memories

Useful for reviewing what the agent knows about a user or for building a user profile. List all stored memories for a specific user

search_memories

Returns results ranked by relevance score, enabling the agent to recall past preferences, facts, and context. Semantically search stored memories for a specific user. Returns the most relevant memories matching your query

Example Prompts for Mem0 in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Mem0 immediately.

"Remember that I prefer dark mode, use VS Code, and my favorite language is TypeScript."

"What do you remember about my coding preferences?"

"Show me all the memories you have stored for my user profile."

Troubleshooting Mem0 MCP Server with AutoGen

Common issues when connecting Mem0 to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Mem0 + AutoGen FAQ

Common questions about integrating Mem0 MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Mem0 tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.