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.
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: evermemos-mcp
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.
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Maintenance
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If you are the server author, to access and configure the admin panel.
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Related MCP Connectors
Hosted memory for AI agents that learns and forgets — one key across Claude, Cursor & ChatGPT.
One memory, every AI: Claude, ChatGPT, Perplexity, Gemini, Cursor, OpenClaw, Hermes, any MCP client.
Universal memory for AI agents and tools. Save, organize and search context anywhere.
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