GBrain

GBrain is an AI agent long-term memory and self-wiring knowledge graph system built by Garry Tan (YC President & CEO) to power his personal AI agents. It gives agents a persistent, searchable brain with hybrid vector+graph search, automatic entity extraction, self-healing citation fixing, and overnight memory consolidation — now open-sourced for any developer to use.

GBrain is an AI agent long-term memory and self-wiring knowledge graph system built by Garry Tan (YC President & CEO) to power his personal AI agents. It gives agents a persistent, searchable brain with hybrid vector+graph search, automatic entity extraction, self-healing citation fixing, and overnight memory consolidation — now open-sourced for any developer to use.

• 01Self-wiring knowledge graph — every page write auto-extracts typed entity links (attended, works_at, invested_in, founded, advises) with zero LLM calls; hybrid search combining vector embeddings, BM25, and graph traversal achieves P@5 49.1%, R@5 97.9% on 240-page benchmarks
• 0243 scaffolded agent skills — signal detection, brain-ops, ingest, enrich, citation-fixer, daily-task-manager, cron-scheduler, eval framework; integrates as a skillpack into OpenClaw and Hermes agent platforms with 30-min setup
• 03Autonomous self-healing via gbrain doctor — one command computes a dependency-ordered remediation plan, submits jobs, re-checks score between steps, and refuses to exceed a user-defined cost cap; cron-driven autopilot runs unattended