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Projectmem MCP Server

@riponcm

リポジトリ

基本情報

カテゴリ

バージョン管理

トランスポート

stdio

作者

riponcm

投稿者

Ripon Chandra Malo

Projectmem MCP Server について

Local-first memory and judgment layer for AI coding agents. Captures issues, failed attempts, fixes, and decisions in readable Markdown + JSONL, re-injects them into future sessions, and warns at git commit before you repeat a mistake. 14 tools, works with Claude, Cursor, Antigra

#memory-layer#ai-coding-agents#judgment-layer-for-ai-coding-agents#claude-code#antigravity

Projectmem MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "projectmem": {
      "command": "pjm-mcp",
      "args": [
        "--root",
        "/absolute/path/to/your/project"
      ]
    }
  }
}

Projectmem MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Projectmem?

Projectmem is a local-first memory and judgment layer for AI coding agents. It captures development history—issues, failed attempts, fixes, decisions, and gotchas—into readable Markdown + JSONL inside your repository, and feeds that context back to your AI agent through the Model Context Protocol (MCP).

How to use Projectmem?

Install with pip install projectmem, then configure your MCP client with command: "pjm-mcp" and args: ["--root", "/absolute/path/to/your/project"]. The server exposes 14 MCP tools that your AI client can use to read and write project memory directly.

Key features of Projectmem

  • Persistent project memory across every session
  • Pre-commit warnings before repeating a failed approach
  • 14 MCP tools for reading and writing memory
  • 100% local, no cloud or telemetry
  • Works with Claude, Cursor, Antigravity, and Codex
  • Reduces context‑rebuilding tokens by up to 50%

Use cases of Projectmem

  • Avoid re‑explaining architecture and past attempts to your AI agent
  • Get warned at git commit before repeating a known mistake
  • Maintain development decisions and gotchas across many sessions
  • Reduce token waste from rebuilding context that existed yesterday

よくある質問

1

How is Projectmem different from a simple memory store?

It is not just a memory store—it is a judgment layer that surfaces past failures at the exact moment you would repeat the mistake.

2

What are the runtime dependencies?

Projectmem requires Python (installed via pip) and a local directory for storage. It is open source (MIT license).

3

Where does the data live?

All data is stored locally inside your repository as plain‑text Markdown and JSONL files, so you can `git diff` them.

4

What transport does Projectmem use?

It uses standard I/O (stdio) via the Model Context Protocol.

5

Is authentication or cloud needed?

No. Projectmem is 100% local; there is no cloud component or telemetry.

コメント

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