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官方说明7 个来源MCP 服务8 天前
gzoonet/cortex

gzoonet/cortex

Local-first developer knowledge graph: watches
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 cortex -- npx -y cortex
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
23 ★ · gzoonet/cortex · 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 · 23 ★ · 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 gzoonet/cortex;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

GZOO Cortex

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

**Local-first knowledge graph for developers.** Watches your project files,
extracts entities and relationships using LLMs, and lets you query across
all your projects in natural language.
> “What architecture decisions have I made across projects?”
>
> Cortex finds decisions from your READMEs, TypeScript files, config files,
> and conversation exports — then synthesizes an answer with source citations.
Why
You work on multiple projects. Decisions, patterns, and context are scattered
across hundreds of files. You forget what you decided three months ago. You
re-solve problems you already solved in another repo.
Cortex watches your project directories, extracts knowledge automatically,
and gives it back to you when you need it.
What It Does
- **Watches** your project files (md, ts, js, py, json, yaml) for changes
- **Extracts** entities: decisions, patterns, components, dependencies, constraints, action items
- **Infers** relationships between entities across projects
- **Detects** contradictions when decisions conflict
- **Queries** in natural language with source citations
- **Searches semantically** — blends keyword and vector (embedding) similarity so queries match by meaning, not just keywords (optional; see Semantic Search)
- **Routes** intelligently between cloud and local LLMs
- **Respects** privacy — restricted projects never leave your machine
- **Web dashboard** with knowledge graph visualization, live feed, and query explorer
- **MCP server** for direct integration with Claude Code
Quick Start
1. Install
If global install fails with EACCES, use a user prefix instead:
Or install from source:
Verify: cortex --version (current release: **0.8.1**)
2. Setup
Run the interactive wizard:
This walks you through:
- **LLM provider** — Anthropic, Google Gemini, DeepSeek, Groq, OpenRouter, or Ollama (local)
- **API key** — saved securely to ~/.cortex/.env
- **Routing mode** — cloud-first, hybrid, local-first, or local-only
- **Watch directories** — which directories Cortex should monitor
- **Budget limit** — monthly LLM spend cap
cortex init writes global config to ~/.cortex/cortex.config.json. API keys go in ~/.cortex/.env.
3. Register Projects
4. Ingest, Watch & Query
**Backfill existing files first** — the watcher only picks up new changes:
| Command | What it does |
|---------|-------------|
| cortex serve | Web dashboard + API + file watcher (ignoreInitial — no re-ingest on start) |
| cortex watch | CLI-only file watcher (no dashboard) |
| cortex ingest | One-shot ingestion; events do **not** appear in the Live Feed |
> **Don't run watch and serve together** — they compete for file changes.
> The Live Feed shows real-time events from cortex serve only (file saves while the server is running).
5. Web Dashboard
Remote access:
Auth is enforced automatically on non-localhost hosts. A bearer token is auto-generated and saved to ~/.cortex/.env (read it with grep CORTEX_SERVER_AUTH_TOKEN ~/.cortex/.env). Open the dashboard once with http:// :3710/?token= — the token is embedded only for requests that already prove possession of it and is then kept for the browser tab (so anonymous visitors never receive it). API/WebSocket calls behind a reverse proxy use Authorization: Bearer .
Excluding Files & Directories
Cortex ignores node_modules, dist, .git, and other common directories by default. To add more:
How It Works
Cortex runs a pipeline on every file change:
1. **Parse** — file content is chunked by a language-aware parser (tree-sitter for code, remark for markdown)
2. **Extract** — LLM identifies entities (decisions, components, patterns, etc.)
3. **Relate** — LLM infers relationships between new and existing entities
4. **Detect** — contradictions and duplicates are flagged automatically
5. **Store** — entities, relationships, and vectors go into SQLite + LanceDB
来源
awesome · https://github.com/gzoonet/cortex
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