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projectmem
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projectmem

Active·★ 868·MIT·Updated 2026-10-03
★ Hidden Gem

projectmem is an open-source, local-first memory and judgment layer for AI coding agents, designed to capture persistent records of project development, including issues, attempts, fixes, and decisions. It aims to make AI experienced, preventing repetition of past failures and significantly reducing token usage by providing distilled context.

projectmem sits in the Memory & Context category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Pre-Commit Warnings: Warns developers before committing if they're repeating failed approaches, modifying high-churn files, or touching unresolved issues.. A representative use case is Preventing AI agents from repeating past debugging attempts or failed architectural approaches.. The listed license is MIT. GitHub stars are currently 868. Relevant tags include AI Agent Memory, Local-First.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#AI Agent Memory#Local-First#Developer Tooling#Git Hooks#Context Management#Token Optimization#Pre-Commit Warnings#Project Visualization
$ Install
$ pip install projectmem && cd your-project && pjm init
↗ Visit site★ GitHub
01

Features

01Pre-Commit Warnings: Warns developers before committing if they're repeating failed approaches, modifying high-churn files, or touching unresolved issues.
02Local-First and 100% Private: All memory and data reside locally in a `.projectmem/` directory with no cloud, accounts, or telemetry.
03Global Dashboard: Provides a unified view of all `pjm init`-ed projects, showing grades, issues, savings, and a 'needs attention' list, aggregated at read-time.
04Code Structure + Judgment: Overlays failure heat from the event log directly onto the codebase's import graph, highlighting files with repeated failed attempts.
05Smart Context Injection & Token Efficiency: Distills raw event logs into compact, AI-readable summaries and provides token-budgeted memory blocks, significantly reducing token cost.
02

Why choose it

+Pre-Commit Warnings: Warns developers before committing if they're repeating failed approaches, modifying high-churn files, or touching unresolved issues.
+Local-First and 100% Private: All memory and data reside locally in a `.projectmem/` directory with no cloud, accounts, or telemetry.
+Preventing AI agents from repeating past debugging attempts or failed architectural approaches.
+Supports 6 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Runtime
Verified via docs
Git
Version Control
Verified via docs
MCP Clients
AI Tool Integration
Verified via docs
MacOS
OS
Verified via docs
Windows
OS
Verified via docs
Linux
OS
Verified via docs
05

Quick start

1
$ pip install projectmem
2
$ cd your-project
3
$ pjm init
06

Use cases

↳Preventing AI agents from repeating past debugging attempts or failed architectural approaches.
↳Improving AI agent efficiency and reducing token costs by providing distilled, context-aware project memory instead of re-reading raw files.
↳Visualizing project development history, including issues, fixes, and decisions, to understand codebase evolution and identify problem areas.
↳Onboarding new developers or bringing AI agents up to speed on a project quickly by injecting pre-existing project knowledge and decisions.
↳Providing a persistent, auditable record of AI agent interactions and learning within a project.
07

Alternatives

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MCP-memento★ 11
Local-first MCP server that gives AI agents durable repo memory and fast semantic code context.
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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
riponcm /
projectmem
↗

Local-first AI coding memory for AI agents. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.

868MIT
Last commit2w ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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