Orca vs SWE-agent

Side-by-side comparison of two AI agent tools

Short answer

  • Orca is growing faster: +18,590 GitHub stars in the last 30 days vs +254 for SWE-agent.
  • Pick Orca for: orca is the ADE for working with a fleet of parallel agents. Pick SWE-agent for: sWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice.

From GitHub data refreshed daily.

O
Orcaopen-source

Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.

SWE-agentopen-source

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Metrics

OrcaSWE-agent
Stars84.1k20.5k
Star velocity /mo18.6k254.3684210526316
Commits (90d)6.6k6
Releases (6m)100
Overall score0.9538456322566530.4088976488846652

Pros

    • +在SWE-bench基准测试中达到开源项目的最先进性能水平
    • +支持多种主流大语言模型（GPT-4o、Claude Sonnet 4等），配置灵活
    • +专为研究设计，架构简单且文档完善，易于定制和扩展

    Cons

      • -开发重心已转移到mini-swe-agent项目，原项目维护可能受到影响
      • -主要面向研究用途，生产环境的稳定性和可靠性可能不如商业解决方案

      Use Cases

        • •自动修复GitHub仓库中的代码问题和bug
        • •网络安全领域的漏洞发现和渗透测试
        • •竞赛编程和算法挑战的自动化解决
        View Orca DetailsView SWE-agent Details

        FAQ

        Which is more popular, Orca or SWE-agent?
        Orca has more GitHub stars (84,122 vs 20,475).
        Which is more actively developed, Orca or SWE-agent?
        Orca had more commits in the last 90 days (6,597 vs 6).
        Should I use Orca or SWE-agent?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.