Lorekeeper MCP Server

@Jessinra

代码仓库主页

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

Jessinra

提交者

Jessin Ra

关于 Lorekeeper MCP Server

Self-improving memory for AI agents

#ai-agent #memory #ai #agentic-ai #codex #claude-code #cursor

Lorekeeper MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "lorekeeper": {
      "command": "lorekeeper"
    }
  }
}

Lorekeeper MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Lorekeeper?

Lorekeeper is a self-improving memory server for AI agents. It stores memories locally in SQLite on your own disk, connects to any MCP-compatible agent, and improves with every session. It is designed for solo developers and agent workflows that need zero ops, zero cloud, and a persistent memory store.

How to use Lorekeeper?

Install with pip install lorekeeper-mcp, then run lorekeeper setup to configure your agents, and start the server with lorekeeper. Use lorekeeper-dashboard to open a web UI for managing memories. Agents can then call tools like lore_remember and lore_search to store and retrieve memories.

Key features of Lorekeeper

Hybrid semantic + keyword search with time-decay and usage scores
Self-improving quality loop: feedback adjusts memory scores
Auto-linking: new memories linked to closest semantic neighbors
Duplicate detection: blocks near-identical content
Full web dashboard with seven tabs for management
Universal MCP support: works with many agents
Local-first: data stays on your machine, no cloud
Namespaces: multiple agents share one store isolated
Reflection: agents auto-extract learnings from sessions

Use cases of Lorekeeper

Staying in context across sessions: agents remember preferences and code patterns
One memory pool, multiple agents: Claude Code, Cursor, Hermes share knowledge
Cross-session debugging: recall root causes and fixes from weeks ago
Project onboarding: new agents start with architecture context from past sessions

常见问题

What makes Lorekeeper different from file-based memory or cloud services?

Lorekeeper is a local MCP server that uses hybrid search, self-improving memory scores, and auto-linking. It is a single `pip install` with no cloud dependency, no API keys, and no configuration. File-based tools require manual maintenance, and cloud services charge per API call and send data off your machine.

How do I install and set up Lorekeeper?

Run `pip install lorekeeper-mcp`, then `lorekeeper setup` to auto-detect and configure supported agents. Finally, start the server with `lorekeeper`. No additional configuration is needed.

Where is my data stored?

All memories are stored locally in SQLite and LanceDB. Your data never leaves your machine. There is no cloud storage or remote server.

Does Lorekeeper require an API key or internet connection?

No. Lorekeeper requires no API keys, no sign-up, and no internet connection after installation. It is free to run forever.

Which agents are supported?

Lorekeeper works with any MCP-compatible agent, including Claude Code, Cursor, Hermes, Copilot, OpenCode, and Codex CLI.

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