- Projectmem
Projectmem
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 commitbefore 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
16 days agoUpdated At
16 days agoAuthor Name
Ripon Chandra MaloStar
-Language
-License
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