by Agent-Field · Codex Skill · ★ 883
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SWE-AF Autonomous Engineering Team Runtime Built on AgentField Pronounced: "swee-AF" (one word) One API call → full engineering team → shipped code. Quick Start • Why SWE-AF • In Action • Factory Control • Benchmark
| Stars | 883 |
| Forks | 143 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 50.232/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-19 |
| Created | 2026-02-04 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~20k |
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SWE-AF is Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.. It is categorized as a Codex Skill with 883 GitHub stars.
SWE-AF is primarily written in Python. It covers topics such as agent-factory, agentfield, agentic-ai.
You can find installation instructions and usage details in the SWE-AF GitHub repository at github.com/Agent-Field/SWE-AF. The project has 883 stars and 143 forks, indicating an active community.
SWE-AF is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to SWE-AF on Agent Skills Hub include gemini-flow, agent-skills, pro-workflow. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.