agent-magnet
Provides persistent user memory for Google Gemini models via proxy mode, learning from behavioral signals across sessions.
Provides persistent user memory for OpenAI models via proxy mode, learning from behavioral signals across sessions.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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
Related MCP server: total-agent-memory
Quick start
pip install agent-magnet
agent-magnet initThat'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.
{
"mcpServers": {
"agent-magnet": {
"command": "agent-magnet-mcp",
"env": { "MAGNET_USER_ID": "your_name" }
}
}
}MIT licensed. Contribute — and a ⭐ if this saved your context window.
This server cannot be deployed
Maintenance
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