Swarms Model Card
这是可索引项目报告证据页：它保留 Swarms 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。
Swarms Model Card
| Field | Value |
|---|---|
| Repository | kyegomez/swarms |
| Category | Production Multi-Agent Orchestration Runtime |
| Stars / forks snapshot | 6800 / 935 |
| Commits / issues / PRs snapshot | 5078 / 24 / 50 |
| Language | Python |
| License | Apache-2.0 |
| Latest visible commit date | 2026-05-28 |
| Raw capture | raw-github/kyegomez_swarms.md |
| Updated by | hourly public metadata update, 2026-06-05 11:00 +0800 |
1. Role in Self Evolve
Swarms is a production-oriented multi-agent orchestration framework that packages sequential, concurrent, and hierarchical agent topologies with tools, memory, protocol adapters, and marketplace-style extensions. It matters because self-evolving agents need explicit runtime, memory, skill, and benchmark substrates before their improvement claims become trustworthy.
2. Working Principle
define agents and swarm topology -> run sequential/concurrent/hierarchical orchestration -> attach tools, memory, and protocol adapters -> keep workflow behavior inspectable through runtime boundaries and reusable swarm patterns
3. Evidence Path
web-observed GitHub repo page and commit history showed about 6.8k stars, 935 forks, 24 issues, 50 pull requests, 5,078 commits, Apache-2.0 licensing, sequential/concurrent/hierarchical swarm architectures, MCP/x402/skills interoperability claims, and latest visible commits on 2026-05-28. 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 Production Multi-Agent Orchestration Runtime: 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.