graymatter gives your AI agents perfect recall without embeddings, GPU, or cloud dependencies. FTS5 indexing + LYT knowledge mapping = 70-98% token reduction on every query.
Why graymatter
Most agent memory systems rely on expensive embeddings and vector databases. graymatter uses battle-tested FTS5 full-text search + LYT (Linking Your Thinking) methodology.
Results ranked by recency + structural relevance. Know exactly how stale every result is before you use it.
Maps of Content (MOCs) auto-generated from your notes. AI-powered organization that scales with your knowledge.
Automatic synthesis at 2 AM. Yesterday's raw notes become distilled wisdom by morning.
SQLite + FTS5 runs anywhere. No API calls, no rate limits, no egress fees. Your data stays yours.
Wraps any skill command. Returns compact summaries instead of flooding context. 70-98% token savings.
Built for OpenClaw agents. Drop-in skill with CLI, API, and cron integration. Works day one.
Installation
graymatter is a skill for OpenClaw. Clone, configure, done.
Requirements: Python 3.10+, OpenClaw 2026.3+, Obsidian vault (optional but recommended)
Join 17+ specialists, 343 indexed memories, and counting.