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hyunjae-labs/lore

hyunjae-labs/lore

Local semantic search across Claude Code
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add lore -- npx -y lore
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
9 ★ · hyunjae-labs/lore · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 9 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 hyunjae-labs/lore;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

lore

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Semantic search across your Claude Code **and** OpenAI Codex CLI conversations.
Find anything you've ever discussed -- across all projects, all sessions, any branch, any agent.
Features
- **Hybrid search (vector + keyword)**
Combines multilingual-e5-small embeddings with FTS5/BM25 via Reciprocal Rank Fusion. Finds results by meaning *and* exact terms.
- **Multi-agent: Claude Code + Codex CLI**
Indexes both ~/.claude/projects/ (Claude Code) and ~/.codex/sessions/ (OpenAI Codex CLI) in the same DB. Codex sessions are grouped by cwd from session_meta, surfaced as codex- virtual projects so you can search them together or filter to one agent.
- **Fully local, zero API keys**
Everything runs on your machine. ONNX Runtime for embedding, sqlite-vec for storage. No data leaves your device.
- **Auto-index on session end**
A SessionEnd hook automatically indexes all new sessions in the background. No manual triggers needed.
- **Background indexing**
Manual index triggers return instantly. Monitor progress while you keep working. Search what's already indexed while the rest catches up.
- **Opt-out by default**
All projects are indexed automatically. Exclude the ones you don't want. No registration needed.
- **Conversation-aware chunking**
Splits by logical turns (user question + full assistant response chain), not arbitrary token windows. Handles tool-use chains, thinking blocks, and multi-step interactions correctly.
- **100+ languages**
Korean, Japanese, Chinese, English, and 90+ more. CJK-aware token estimation for accurate chunking.
Quick Start
Add to Claude Code
Add to OpenAI Codex CLI
Alternative: global install (faster startup, works offline)
Usage
Once connected, the AI can use lore's tools directly:
**First time setup:**
1. **Index** -- index() scans all projects automatically, runs in background
2. **Search** -- ask anything about past conversations
3. **Exclude** (optional) -- hide noisy projects you don't care about
Tools
| Tool | Purpose |
|------|---------|
| manage_projects | Exclude/include projects from indexing (opt-out model) |
| index | Start background indexing. All non-excluded projects. Modes: incremental (default), rebuild, cancel |
| status | Check indexing progress, ETA, skip reasons, DB health |
| search | Semantic + keyword search across conversations |
| get_context | Expand search results with surrounding conversation |
| list_sessions | Browse indexed sessions by project |
Why This Exists
Claude Code stores every conversation as a JSONL transcript in ~/.claude/projects/, and OpenAI Codex CLI stores its rollouts in ~/.codex/sessions/YYYY/MM/DD/. After a few weeks, you have hundreds of sessions across dozens of projects, often spread across both agents -- discussions about architecture decisions, debugging sessions, code reviews, and design explorations.
But there's no way to search through them. You can't ask "what approach did we take for the auth middleware?" or "which project had that database migration discussion?"
Existing tools either require cloud APIs, spawn zombie processes, or treat conversations as generic documents. lore is purpose-built for AI coding sessions: it understands turn boundaries, tool-use chains, and thinking blocks, and parses both Claude Code and Codex JSONL formats natively. It runs entirely locally with zero dependencies beyond Node.js.
来源
awesome · https://github.com/hyunjae-labs/lore
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