Projectmem MCP Server

@riponcm

Basic information

About Projectmem MCP Server

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 config

Add this server to your MCP-compatible client using the configuration below.

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

Projectmem MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

What are the runtime dependencies?

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

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.

What transport does Projectmem use?

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

Is authentication or cloud needed?

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

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