Awesome Code as Agent Harness Papers Model Card

这是可索引项目报告证据页：它保留 Awesome Code as Agent Harness Papers 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。

Awesome Code as Agent Harness Papers Model Card

1. Role in Self Evolve

Awesome Code as Agent Harness Papers is a harness-first survey index that turns code-centric agent systems into an organized reading and comparison map. It matters because self-evolving agents need explicit memory, harness, benchmark, and safety substrates before their improvement claims become trustworthy.

2. Working Principle

collect code-centric agent papers -> regroup them by harness interface, mechanism, and scaling pattern -> expose memory, tool, debugging, and multi-agent topology lanes -> provide a navigable harness taxonomy

3. Evidence Path

web-observed GitHub page showed 331 stars, 24 forks, 32 commits, MIT license, 4 issues, and a survey taxonomy spanning harness interface, harness mechanisms, and scaling the harness for agentic code systems. This iteration keeps freshness honest: the snapshot comes from the public GitHub page observed on 2026-06-04, while shell GitHub API access remained blocked in this workspace.

4. Teaching Use

Use this card to explain Code-As-Agent-Harness Survey Index: it shows how survey indexes, embeddable memory SDKs, harness taxonomies, controlled self-modification, or trace-scored benchmarks connect to the broader self-evolving-agent pipeline.

5. Limits

The repository was not cloned in this iteration; no benchmark run, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page signals unless independently revalidated later.