Self-improving MCP memory server for AI agents. One command, no cloud, no config.
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<p align="center"> <img src="docs/assets/logo.svg" width="180" alt="Lorekeeper"> </p> <h1 align="center">Lorekeeper</h1> <p align="center"> <strong>Self-improving memory for AI agents. One command, no cloud, no config.</strong> </p> [](https://jessinra.github.io/Lorekeeper/) > ```bash > pip install lorekeeper-mcp && lorekeeper setup && lorekeeper > ``` > > Your agent remembers across sessions — and the memory gets **better, not just bigger.** > Local. No API keys. No sign-up. **Free to run forever.** --- ## Why Lorekeeper Every AI agent session starts blank. You re-explain context, re-state preferences, re-teach patterns — every single time. Files like `CLAUDE.md` and `.cursorrules` help, but they're hand-maintained, can't search themselves, and grow stale. Cloud services work, but your session data leaves your machine and you're paying per API call. Libraries are powerful, but you're writing the integration yourself. Lorekeeper is a different shape: **a local MCP server you `pip install` once.** It connects to your existing agents, stores memories in SQLite on your own disk, and starts improving with every session: ``` Agent uses a memory → rates it useful or not → scores adjust automatically → weak memories decay → strong memories surface more often → search gets sharper ``` A fresh install and a six-month-old install are **genuinely different products.** The longer you use it, the less noise you get — and the more your agents feel like they actually know your codebase. --- ## Quick Start 3 minutes, zero configuration: ```bash # 1. Install pip install lorekeeper-mcp # 2. Configure your agents (auto-detects Hermes, Claude Code, Cursor) lorekeeper setup # 3. Start the MCP server lorekeeper ``` `lorekeeper setup` scans for installed agents and injects the MCP entry, agent prompt, and bundled skills automatically. Use `--check` to preview without writing. Run `lorekeeper --help` or `l…
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