OpenHarness Agent Harness Fork Model Card
这是可索引项目报告证据页:它保留 OpenHarness Agent Harness Fork Model Card 的源材料入口、机制线索和限制提醒;正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。
OpenHarness Agent Harness Fork Model Card
| Field | Value |
|---|---|
| Repository | syntax-syndicate/OpenHarness-agent-harness |
| Category | Open Agent Harness Runtime and Evaluation Workflow |
| Stars / forks snapshot | 1 / 0 |
| Language | Python |
| License | MIT |
| Raw capture | raw-github/syntax-syndicate_openharness-agent-harness.md |
| Updated by | hourly public metadata update, 2026-05-31 07:20 +0800 |
1. Role in Self Evolve
syntax-syndicate/OpenHarness-agent-harness tracks an OpenHarness runtime fork for controlled agent execution and evaluation workflow standardization. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
define standardized harness interfaces for task setup, execution, and judging -> route agent actions through controlled runtime adapters -> log traces and outcomes for comparable replay -> make harness-level protocol changes testable before model-level retraining
3. Evidence Path
web-observed GitHub page showed 1 star, 0 forks, 378 commits, MIT license, and explicit fork linkage to HKUDS/OpenHarness. 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 Open Agent Harness Runtime and Evaluation Workflow: 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.