Projectmem

Created By
Ripon Chandra Malo24 days ago
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, Antigravity, and Codex.
Overview

projectmem

Local-first memory and judgment layer for AI coding agents.

Every new AI session starts from zero — re-explaining the architecture, re-trying fixes that already failed, burning thousands of tokens rebuilding context that existed yesterday. projectmem fixes that. It captures your development history — issues, failed attempts, fixes, decisions, and gotchas — into readable Markdown + JSONL inside your repo, and feeds it back to your AI agent through the Model Context Protocol.

Key features

  • Persistent project memory — captures issues, attempts, fixes, decisions, and gotchas across every session
  • Pre-commit warnings — warns you at git commit before you repeat a failed approach
  • 14 MCP tools — your AI client reads and writes memory directly
  • Local-first — 100% on your machine, no cloud, no telemetry; plain-text storage you can git diff
  • Cross-client — verified with Claude, Cursor, Antigravity, and Codex
  • Token-efficient — cuts context-rebuilding tokens by up to 50%

Installation

pip install projectmem

MCP configuration

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

Why projectmem

It's not just a memory store — it's a judgment layer. projectmem remembers what went wrong and surfaces it at the exact moment you'd repeat the mistake. Open source, MIT-licensed.

Server Config

{
  "mcpServers": {
    "projectmem": {
      "command": "pjm-mcp",
      "args": [
        "--root",
        "/absolute/path/to/your/project"
      ]
    }
  }
}
Project Info
Created At
24 days ago
Updated At
24 days ago
Author Name
Ripon Chandra Malo
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