holaOS Model Card
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holaOS Model Card
| Field | Value |
|---|---|
| Repository | holaboss-ai/holaOS |
| Category | Long-Horizon Agent Environment |
| Stars / forks snapshot | 5400 / 328 |
| Language | TypeScript |
| License | Modified Apache-2.0 |
| Raw capture | raw-github/holaboss-ai_holaos.md |
| Updated by | hourly public metadata update, 2026-05-27 22:00 +0800 |
1. Role in Self Evolve
holaOS is an agent environment focused on long-horizon continuity, context retention, and self-evolving workflows for autonomous execution. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
agent environment as execution substrate -> continuity-oriented context and memory management -> MCP-compatible tooling for long-horizon work -> self-evolving workflow emphasis through environment-level adaptation
3. Evidence Path
web-observed GitHub page showed 5.4k stars, 328 forks, 572 commits, Modified Apache 2.0 license, and README notes on being an environment for long-horizon work and self-evolving agents. 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 Long-Horizon Agent Environment: 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.