Project report / GitHub evidence

OpenAI Swarm Model Card

这是可索引项目报告证据页:它保留 OpenAI Swarm 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。

OpenAI Swarm Model Card

FieldValue
Repositoryopenai/swarm
CategoryExperimental Multi-Agent Orchestration Framework
Stars / forks snapshot21600 / 2300
Commits / issues / PRs snapshot29 / 23 / 7
LanguagePython
LicenseMIT
Latest visible commit date2026-04-15
Raw captureraw-github/openai_swarm.md
Updated byhourly public metadata update, 2026-06-05 11:00 +0800

1. Role in Self Evolve

Swarm is OpenAI’s educational multi-agent orchestration framework for lightweight handoffs, routines, and inspectable agent workflow patterns, now explicitly positioned as a predecessor to the OpenAI Agents SDK. It matters because self-evolving agents need explicit runtime, memory, skill, and benchmark substrates before their improvement claims become trustworthy.

2. Working Principle

compose lightweight routines and handoffs -> route user tasks across specialized agents -> keep tool usage explicit and inspectable -> treat orchestration as a simple educational baseline rather than a production control plane

3. Evidence Path

web-observed GitHub repo page and commit history showed about 21.6k stars, 2.3k forks, 23 issues, 7 pull requests, 29 commits, MIT license, educational lightweight orchestration framing, explicit deprecation in favor of the OpenAI Agents SDK, and latest visible commits on 2026-04-15. This iteration keeps freshness honest: the snapshot comes from the public GitHub page observed on 2026-06-05, while shell GitHub API access remained blocked in this workspace.

4. Teaching Use

Use this card to explain Experimental Multi-Agent Orchestration Framework: it shows how swarm runtimes, skill optimizers, benchmark suites, browser harnesses, and memory middleware fit into 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.