GBrain Model Card
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GBrain Model Card
| Field | Value |
|---|---|
| Repository | garrytan/gbrain |
| Category | Agent Company Brain and Memory OS |
| Stars / forks snapshot | 19200 / 2700 |
| Language | TypeScript |
| License | MIT |
| Raw capture | raw-github/garrytan_gbrain.md |
| Updated by | hourly public metadata update, 2026-05-27 09:59 +0800 |
1. Role in Self Evolve
GBrain is an opinionated long-term brain layer for OpenClaw and Hermes-style agents, combining structured memory pages, graph linking, and retrieval workflows. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
ingest multi-source signals -> synthesize and link entities -> persist memory graph -> query/retrieve for next actions -> recurring maintenance jobs
3. Evidence Path
web-observed GitHub page showed 19.2k stars, 2.7k forks, 255 commits, MIT license, and README claims for large-scale personal/company brain operations with graph-aware retrieval and synthesis. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Agent Company Brain and Memory OS: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.