pmb
Local-first persistent memory for AI coding agents with offline and multilingual capabilities.
GraphCanon updated 2d · GitHub synced 2d
Decision brief
pmb - Local-first persistent memory for AI coding agents
Good fit when
- - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex.
- - If your application requires offline capabilities where the AI agent can operate without internet connectivity.
Avoid when
- - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization.
- - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage.
- Requirements:
- No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (6d since push)
- As of 2d
- Provenance
- Not a fork · Personal account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install pmbSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository provides a local-first persistent memory solution designed specifically for AI coding agents such as Claude Code, Cursor, and Codex. The data persists in an SQLite file on disk, offering reliable storage for decisions, lessons, and facts without needing to be online. It supports offline operations and is multilingual.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 23, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 23, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 23, 2026
Categories
Tags
README
Install
The Quickstart above is all most people need. Other ways:
For agents
This page has a .md twin and JSON over the API.