Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/pmb-personal-memory-brain-earns-a-115-proof-of-usefulness-score-by-building-local-first-persistent.
PMB earned a 70 Proof of Usefulness score with a local-first memory layer that gives AI coding agents persistent project context across sessions.
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PMB earned a 70 Proof of Usefulness score for an open-source, local-first memory layer designed to give AI coding agents durable project context across sessions. Built around MCP, SQLite, LanceDB, MiniLM embeddings, BM25, and graph retrieval, PMB lets tools such as Claude Code, Cursor, and Codex share decisions, facts, corrections, and goals without sending that memory to the cloud. The project is still pre-traction, with its 1.0 release arriving in June 2026, but distribution is already live through PyPI and the MCP registry.