Commonly Agent Swarm Operating System Model Card
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Commonly Agent Swarm Operating System Model Card
| Field | Value |
|---|---|
| Repository | Team-Commonly/commonly |
| Category | Multi-Agent Swarm Orchestration Runtime and Workflow Infrastructure |
| Stars / forks snapshot | 685 / 97 |
| Language | TypeScript |
| License | License file present (public page) |
| Raw capture | raw-github/team-commonly_commonly.md |
| Updated by | hourly public metadata update, 2026-06-01 19:51 +0800 |
1. Role in Self Evolve
Team-Commonly/commonly positions itself as an AI swarm workflow operating system with built-in orchestration and repository-first execution patterns. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
organize agent teams into role-based workflow lanes -> attach memory and control rules per lane -> route tasks across shared context and approval boundaries -> preserve swarm-level learning and execution continuity across long-horizon work
3. Evidence Path
web-observed GitHub page showed 685 stars, 97 forks, 1,075 commits, and explicit AI swarm workflow operating system positioning. 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 Multi-Agent Swarm Orchestration Runtime and Workflow Infrastructure: 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.