PMB
Summary
PMB is a local-first memory tool that helps developers avoid re-explaining their projects to AI coding agents.
Similar Articles
Show HN: PMB – local memory for coding agents that shows if it is used
PMB is a local-first memory system for AI coding agents that stores decisions, lessons, and project facts in a SQLite file on your disk. It integrates with Claude Code, Cursor, Codex, and Zed via MCP, providing fast recall without cloud dependencies.
PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents
PROJECTMEM is an open-source, local-first memory and judgment layer for AI coding agents that records development events and provides deterministic warnings before repeating failed actions, reducing token waste and improving reproducibility.
I got tired of re-explaining my project to every AI tool, so I built a local memory layer for them
The author built mem-port, a local MCP server that gives AI copilots (ChatGPT, Claude Code, Cursor, Windsurf) shared long-term memory via embedded SurrealDB, solving context drift between AI tools.
PM-Bench: Evaluating Prospective Memory in LLM Agents
Introduces PM-Bench, a text-based benchmark for evaluating prospective memory in LLM agents, inspired by cognitive science. Experiments show that even the best method (GPT-5.4 agent) achieves only 65.1% F1 score, indicating significant challenges in reliable intention execution.
YourMemory
YourMemory is an MCP-based memory tool that uses self-pruning to reduce token waste by up to 84%, improving efficiency in AI context management.