Best of Agent Harnesses Model Card
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Best of Agent Harnesses Model Card
| Field | Value |
|---|---|
| Repository | RyanAlberts/best-of-Agent-Harnesses |
| Category | Agent Harness Landscape Index |
| Stars / forks snapshot | 64 / 4 |
| Language | Python |
| License | CC-BY-SA-4.0 |
| Raw capture | raw-github/ryanalberts_best-of-agent-harnesses.md |
| Updated by | hourly public metadata update, 2026-06-03 19:56 +0800 |
1. Role in Self Evolve
best-of-Agent-Harnesses curates a README-ranked list of 100+ agent harness projects, which can be read as a comparative map of harness engineering options. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
collect harness projects -> expose category tags, list order and update cadence -> provide comparative entrypoint for reliability-oriented harness selection
3. Evidence Path
web-observed GitHub page showed 64 stars, 4 forks, CC-BY-SA-4.0 license, and README framing as a ranked list of agent harnesses updated weekly. The same README also says its internal table star counts were captured on 2026-05-31, which is a useful trust boundary for its own comparisons. 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 an Agent Harness Landscape Index: 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.