Ross ROSS = Recommend OSS · open-source software intelligence for agents

garrytan/gbrain

Garry's Opinionated OpenClaw/Hermes Agent Brain observed · 2026-08-28

github.com/garrytan/gbrain · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 87
  • Longevity 10

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 150
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 68

Full methodology

Adoption not part of the score

29146 stars · 4322 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GBrain is a self-hosted 'brain layer' for AI agents that combines a knowledge graph, vector search, and a synthesis engine to return cited answers rather than raw search results. It ingests meetings, emails, tweets, and voice calls, extracts entities and typed relationships without LLM calls, and can run autonomously on cron schedules or plug into coding agents like Claude Code as a retrieval layer.

Use cases

  • give my AI agent persistent memory across meetings and emails
  • build a personal knowledge base that answers questions with citations
  • query who works at a company or who invested in what from my notes
  • set up a shared company brain with per-user access scoping
  • wire a retrieval layer into Claude Code or Codex
  • run an autonomous agent that ingests and enriches data overnight
  • find gaps in what my knowledge base doesn't know yet

When to choose

  • you want an agent memory layer that combines graph traversal, vector search, and synthesized answers in one self-hosted package
  • you need entity-relationship queries (works_at, invested_in, founded) that plain RAG can't answer
  • you want per-user scoped institutional memory for a team with verified access isolation

When to avoid

  • you only need simple keyword search or a plain vector store without synthesis
  • you want a fully managed cloud service rather than running your own database and hardware
  • you need a mature, independently audited product rather than an opinionated personal project

Facets

library · maturity active

rag search-engine vector-database agent-framework nlp llm-inference scheduling webhook artificial-intelligence large-language-models databases developer-tools self-hosted cli knowledge-graph personal-knowledge-base memory-layer entity-extraction citation-synthesis gap-analysis company-brain agent-memory graph-traversal autonomous-agents ai-agents retrieval-augmented-generation search knowledge-graphs nodejs typescript docker

1 source

Member repositories

RepositoryRoleHealth v2
garrytan/gbrainmain77

For agents

markdown · JSON · MCP: product_card(name="garrytan/gbrain")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem