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by garrytan · Codex Skill · ★ 28.7k
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GBrain Your AI agent is smart but it doesn't know anything about your life. GBrain fixes that. Meetings, emails, tweets, calendar events, voice calls, original ideas... all of it flows into a searchable knowledge base that your agent reads before every response and writes to after every conversation. The agent gets smarter every day. 30 minutes to a fully working brain. Your agent does the work. Database ready in 2 seconds (PGLite, no server). Schema, import, embeddings, and integrations take 15-30 minutes depending on brain size. You just answer questions about API keys. Requires a frontier model. Tested with Claude Opus 4.6 and GPT-5.4 Thinking. Likely to break with smaller models. Need an AI agent first? GBrain is designed to be installed and operated by an AI agent. If you don't have one running yet: OpenClaw — Deploy AlphaClaw on Render (one click, requires 8GB+ RAM instance) Hermes Agent — Deploy on Railway using this template (one click) Start here: paste this into your agent Copy this block into OpenClaw or Hermes Agent. The agent will install GBrain, set up the brain schema, import your files, configure all integrations, and verify everything works.
| Stars | 28,723 |
| Forks | 4,231 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58.0786973950507/100 |
| Open Issues | 436 |
| Last Updated | 2026-08-19 |
| Created | 2026-04-05 |
| Platforms | node |
| Est. Tokens | ~22k |
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gbrain is Garry's Opinionated OpenClaw/Hermes Agent Brain. It is categorized as a Codex Skill with 28.7k GitHub stars.
gbrain is primarily written in TypeScript.
You can find installation instructions and usage details in the gbrain GitHub repository at github.com/garrytan/gbrain. The project has 28.7k stars and 4231 forks, indicating an active community.
gbrain is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gbrain on Agent Skills Hub include humanizer, superset, refly. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.