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Connect Mem0 to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop repeating yourself and build agents that actually remember users.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Mem0.

  1. 01

    Delete memory

    This capability removes a specific memory from the database using its unique ID. Use this when information becomes outdated or incorrect.

  2. 02

    Add memory

    This capability saves new facts and preferences by automatically extracting structured information from your text. It links these memories to a specific user ID for easy retrieval later.

  3. 03

    Get memories

    This capability retrieves the full list of stored memories for a specific user. It is the fastest way to pull a complete user profile for your agent.

  4. 04

    Search memories

    This capability performs a semantic search to find the most relevant memories based on a natural language query. It returns results ranked by how well they match your request.

Real work

What teams actually run

01

Personalized Coding Assistants

An agent remembers your preferred IDE, linting rules, and language versions.

02

Customer Support Bots

A bot recalls a customer's previous issues and preferences to provide faster help.

03

Long-term Companions

An AI maintains a consistent persona and history with a single user over weeks.

04

Context-Aware Workflows

An agent uses stored project details to complete tasks without re-reading documentation.

Automate a task

Put Mem0 to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Mem0 works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Mem0 to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

830ms average. Fast in production.

Mem0 is checked daily against the live service.

Daily averagePeak 993ms
Oct 3Today
Fastest day
677ms
Slowest day
993ms
14-day trend
Slowing+27%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Mem0, so you can see the experience inside your AI.

It does not authenticate your account with Mem0. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Mem0 Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_G1YeH4ndKkDjNcv9DrC9WaHAUopRWaqhaZNb5wse/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Mem0 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mem0-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_G1YeH4ndKkDjNcv9DrC9WaHAUopRWaqhaZNb5wse/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Mem0 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Mem0 owners hand off.

This MCP is built for developers who need to move beyond stateless chat interactions.

  • 01

    AI Agent Developers

    Building agents that need to recall user decisions and past context.

  • 02

    Chatbot Builders

    Creating conversational experiences that feel personal and informed.

  • 03

    SaaS Teams

    Adding persistent user context to existing AI-driven product features.

FAQ

Questions Mem0 owners ask.

  • 01

    How much does Mem0 cost?

    Mem0 offers a free tier that includes up to 10,000 memories per month.

  • 02

    Do I need to manually format my memories?

    No. The MCP automatically extracts and structures facts from your conversation text.

  • 03

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 04

    Can I remove old information?

    Yes. You can use the delete capability to remove specific memories by their ID.

  • 05

    How does the agent find the right information?

    The agent uses semantic search to find the most relevant memories based on the current context.

  • 06

    Is Mem0 free to use?

    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.

  • 07

    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.

  • 08

    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.

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