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Agent Magnet

by helinakdoganversion 0.1.11i★ –iRuns on your computer
Registry nameio.github.helinakdogan/agent-magnet

Install

Overview

Description from the maker (original English)

Behavioral memory layer for AI tools. Learns preferences and context across Claude, Cursor, Codex.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: MAGNET_USER_ID

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MAGNET_USER_ID, MAGNET_OPENAI_KEY, MAGNET_LOCAL_MODE, MAGNET_REDIS_URL, MAGNET_PROJECT_ID

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-magnet": {
      "command": "uvx",
      "args": [
        "agent-magnet"
      ],
      "env": {
        "MAGNET_USER_ID": "your-value",
        "MAGNET_OPENAI_KEY": "your-value",
        "MAGNET_LOCAL_MODE": "your-value",
        "MAGNET_REDIS_URL": "your-value",
        "MAGNET_PROJECT_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agent-magnet --env MAGNET_USER_ID=your-value --env MAGNET_OPENAI_KEY=your-value --env MAGNET_LOCAL_MODE=your-value --env MAGNET_REDIS_URL=your-value --env MAGNET_PROJECT_ID=your-value -- uvx agent-magnet

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-magnet": {
      "command": "uvx",
      "args": [
        "agent-magnet"
      ],
      "env": {
        "MAGNET_USER_ID": "your-value",
        "MAGNET_OPENAI_KEY": "your-value",
        "MAGNET_LOCAL_MODE": "your-value",
        "MAGNET_REDIS_URL": "your-value",
        "MAGNET_PROJECT_ID": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-magnet": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agent-magnet"
      ],
      "env": {
        "MAGNET_USER_ID": "your-value",
        "MAGNET_OPENAI_KEY": "your-value",
        "MAGNET_LOCAL_MODE": "your-value",
        "MAGNET_REDIS_URL": "your-value",
        "MAGNET_PROJECT_ID": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • MAGNET_USER_ID required env
    Your identifier used as the memory key across all tools
  • MAGNET_OPENAI_KEY env
    OpenAI API key for the reflector and classifier models
  • MAGNET_LOCAL_MODE env
    Set to 1 to use local SQLite storage — no Redis or external services needed
  • MAGNET_REDIS_URL env
    Redis connection URL for persistent shared storage (overrides local mode)
  • MAGNET_PROJECT_ID env
    Namespace for memory isolation across projects (defaults to 'default')

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account helinakdogan, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7271 servers in this category
  • Published to the registry more recently than 17% of the other 7271 servers in this category
  • Basic checks equal to or better than 100% of the other 7271 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Magnet safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: MAGNET_USER_ID

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.11) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Your AI forgets your project every new session. This fixes that.

What it does

  • Learns automatically as you work — no "remember this" required
  • Shares one memory across Claude, Cursor, and Codex
  • Lets you forget or mark things done — memory doesn't just pile up

Quick start

pip install agent-magnet

agent-magnet init

That's the whole install. No Redis, no keys, local by default.

What it remembers

Decisions, conventions, watch-outs, failed attempts, goals, preferences, and actions taken — one memory, sorted automatically.

Team memory

Shared memory for a team — one person's decision becomes everyone's context. Requires a paid Agent Magnet key from agentmagnet.app.

Works everywhere

Claude, Cursor, Codex — same memory, local by default. agent-magnet init detects and configures Claude Code, Claude Desktop, and Cursor for you.

Manual MCP config (Codex, or any other MCP client)

{

"mcpServers": { "agent-magnet": { "command": "agent-magnet-mcp", "env": { "MAGNET_USER_ID": "your_name" } } } }

</details>

MIT licensed. Contribute — and a ⭐ if this saved your context window.

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