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Exocortex MCP Server

@fuwasegu

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

fuwasegu

提交者

Fuwasegu

关于 Exocortex MCP Server

xocortex — an MCP server that gives your AI persistent memory across ALL your projects.

#mcp#ai-memory#knowledge-graph

Exocortex 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": {
    "exocortex": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/fuwasegu/exocortex",
        "exocortex",
        "--mode",
        "proxy",
        "--ensure-server"
      ]
    }
  }
}

Exocortex MCP Server 工具

工具列表暂未提供

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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Exocortex?

Exocortex is a local MCP (Model Context Protocol) server that acts as a developer’s “second brain,” persisting development insights, technical decisions, and troubleshooting records in a centralized knowledge store. It allows AI assistants like Cursor to retrieve contextually relevant memories across all projects, enabling cross-project learning and pattern recognition.

How to use Exocortex?

Install by cloning the repository and running uv sync, then start the server with uv run exocortex. Configure Cursor by adding the appropriate entry to ~/.cursor/mcp.json; options include direct from GitHub (recommended), local installation, proxy mode for multiple Cursor instances, or manual SSE server management on a custom port.

Key features of Exocortex

  • Fully local: all data and AI processing stays on your machine
  • Semantic search: find memories by meaning, not just keywords
  • Knowledge graph: maintains relationships between projects, tags, and memories
  • Memory links: connect related memories to build a traversable knowledge network
  • Lightweight and fast: uses embedded KùzuDB and fastembed models
  • Memory dynamics: smart recall based on recency and frequency
  • Frustration indexing: prioritize “painful memories” (debugging nightmares)
  • Web dashboard: cyberpunk-style UI for browsing and health monitoring

Use cases of Exocortex

  • Cross-project knowledge sharing: lessons from one project immediately available in others
  • Architecture archaeology: trace the evolution of technical decisions over time via temporal reasoning
  • Root cause analysis: understand what led to a bug or change by following memory lineage
  • Pattern recognition: discover common problems and solutions across your entire development history
  • Automatic memory consolidation: deduplication, auto-linking, and health checks after storing memories

常见问题

1

Where is data stored?

Your data is stored in `~/.exocortex/` and is preserved regardless of which installation or startup method you choose.

2

How does proxy mode help with multiple Cursor windows?

Proxy mode automatically starts a single SSE server in the background, allowing multiple Cursor instances to connect to the same server and avoid KùzuDB lock conflicts from concurrent writes.

3

What is frustration indexing?

Frustration indexing prioritizes “painful memories”—debugging nightmares get boosted in search results, making frequently accessed or emotionally charged insights surface higher.

4

Are next_actions guaranteed to be executed?

No, execution of `next_actions` is at the AI agent’s discretion. While the server strongly instructs consolidation, it is not 100% guaranteed due to inherent limitations of the MCP protocol

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