Projectmem

Name: Projectmem
Author: riponcm

projectmem · by riponcm

Local-first memory layer for AI coding agents. Captures issues, attempts, decisions, and cross-project library gotchas — your AI starts experienced, not amnesiac. Native MCP server verified across Claude Desktop, Cursor, Antigravity, and Codex. 100% local · no cloud · no telemetry · MIT.

105 GitHub PyPI

No known CVEs

MIT license

Actively maintained

Last commit 9d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

Edit this pageView history

AI / ML Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "projectmem": {
      "args": [
        "-m",
        "projectmem.mcp_server",
        "--root",
        "/absolute/path/to/your/project"
      ],
      "command": "/opt/anaconda3/bin/python"
    }
  }
}

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Read me

What Projectmem does

Every new AI session starts from zero. Claude, Cursor, Aider — they all forget yesterday's decisions, repeat failed debugging attempts, and burn millions of tokens reconstructing context from raw source files.

Test This Server

This server supports HTTP transport. Be the first to test it — help the community know if it works.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

61/100across 5 weighted dimensions

How we score →

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−39

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Security

OSV.dev

No known CVEs.

Checked projectmem against OSV.dev.

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Projectmem safe to use?: Projectmem has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Projectmem?: Projectmem supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with Projectmem?: Projectmem is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Projectmem actively maintained?: Projectmem is actively maintained — last commit was 9 days ago. It has 105 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

{ "mcpServers": { "projectmem": { "args": [ "-m", "projectmem.mcp_server", "--root", "/absolute/path/to/your/project" ], "command": "/opt/anaconda3/bin/python" } } }

📚 Docs

Doc

What's in it

TUTORIAL.md

15-minute step-by-step walkthrough — set up projectmem on your own project, watch the lifecycle, see the pre-commit warning fire.

CHANGELOG.md

Release history. Latest: v0.1.4 — the accountable-judgment release: stale-memory detection, decision supersede, precheck snooze, pjm brief, failed-approach surfacing, CLAUDE.md export, dashboard Overview.

Research paper (arXiv:2606.12329)

PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents — the peer-readable version: design, Memory-as-Governance framing, capability comparison, and the 207-event dogfooding study.

LICENSE

MIT

Frequently Asked Questions

Is Projectmem safe to use?

Projectmem has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Projectmem?

Projectmem supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with Projectmem?

Projectmem is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Projectmem actively maintained?

Projectmem is actively maintained — last commit was 9 days ago. It has 105 GitHub stars.

We don't make AI smarter. We make it experienced.

The local-first memory + judgment layer for AI coding agents. Save up to 50%+ of AI tokens. Stop repeating yesterday's bug.

Website • Guide • Demo • Changelog • Paper

🎬 Watch the demo

Full screen-recorded tutorial- watch on YouTube

📚 Docs

Doc	What's in it
TUTORIAL.md	15-minute step-by-step walkthrough — set up projectmem on your own project, watch the lifecycle, see the pre-commit warning fire.
CHANGELOG.md	Release history. Latest: v0.1.4 — the accountable-judgment release: stale-memory detection, decision supersede, precheck snooze, `pjm brief`, failed-approach surfacing, CLAUDE.md export, dashboard Overview.
Research paper (arXiv:2606.12329)	PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents — the peer-readable version: design, Memory-as-Governance framing, capability comparison, and the 207-event dogfooding study.
LICENSE	MIT

The Problem

The model isn't the problem. The architecture is. Stateless models need a memory cortex.

The Solution

projectmem is the local-first memory + judgment layer that sits above your AI tools. It captures every failed attempt, decision, and gotcha — then injects that experience back into future AI sessions. Git tracks what changed. projectmem tracks why it changed, what was tried, and what failed.

Install

pip install projectmem
cd your-project
pjm init

That's it. pjm init installs three git hooks (pre-commit warnings, post-commit classification, post-merge tracking), auto-start

... View full README on GitHub