What problem does PMB solve for AI coding agents?
PMB solves the problem of AI coding agents forgetting project context between sessions by storing their history locally. It provides a persistent memory that is automatically injected before the agent thinks, eliminating the need for the agent to recall information manually.
What features and interfaces does PMB offer?
PMB offers a local-first memory system with features including automatic memory injection, sub-millisecond writes, hybrid recall with 94.5% recall@10, and an honest follow-rate scoring system. It includes a local web dashboard with a live entity graph (The Map) and a git-graph journal (The Timeline), and integrates as an MCP tool.
How is PMB priced or packaged?
PMB is offered as open-source software under the Apache-2.0 license. It is described as having no API keys, no cloud, and no telemetry, indicating a free-to-use, self-hosted model.
What is PMB used for and in what situations?
PMB is used to give AI coding agents a persistent, local-first memory of project decisions, lessons, and facts. It is used in situations where a developer works with coding assistants like Claude Code, Cursor, Codex, or Zed, ensuring the agent has consistent context across multiple interactions without cloud dependency.
Who is PMB designed for?
PMB is designed for developers and AI coding agent users. It is specifically built for individuals who use coding assistants and want to maintain project memory and context for their AI agents in a local, offline environment.
What is PMB?
PMB is a local-first memory tool for AI coding agents that stores project history, decisions, lessons, and facts in a single SQLite file on the user's disk. It is an open-source tool designed to give agents like Claude Code, Cursor, and Codex persistent memory without cloud services or API keys.