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收录自 e2b-dev/awesome-ai-agents 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 5 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

> [!warning]

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> Most of our current development effort is on mini-swe-agent,
> which has superseded SWE-agent. It matches the performance performance of SWE-agent, while being
> much simpler.
> See the FAQ for more details about the differences.
> Our general recommendation is to use mini-SWE-agent instead of SWE-agent going forward.
SWE-agent enables your language model of choice (e.g. GPT-4o or Claude Sonnet 4) to autonomously use tools to
fix issues in real GitHub repositories,
find cybersecurity vulnerabilities, or
perform any custom task.
* ✅ **State of the art** on SWE-bench among open-source projects
* ✅ **Free-flowing & generalizable**: Leaves maximal agency to the LM
* ✅ **Configurable & fully documented**: Governed by a single yaml file
* ✅ **Made for research**: Simple & hackable by design
SWE-agent is built and maintained by researchers from Princeton University and Stanford University.
📣 News
* July 24: Mini-SWE-Agent achieves 65% on SWE-bench verified in 100 lines of python!
* May 2: SWE-agent-LM-32b achieves open-weights SOTA on SWE-bench
* Feb 28: SWE-agent 1.0 + Claude 3.7 is SoTA on SWE-Bench full
* Feb 25: SWE-agent 1.0 + Claude 3.7 is SoTA on SWE-bench verified
* Feb 13: Releasing SWE-agent 1.0: SoTA on SWE-bench light & tons of new features
* Dec 7: An interview with the SWE-agent & SWE-bench team
🚀 Get started!
👉 Try SWE-agent in your browser: (more information)
Read our [documentation][docs] to learn more:
* Installation
* Hello world from the command line
* Benchmarking on SWE-bench
* Frequently Asked Questions
[docs]: https://swe-agent.com
SWE-agent for offensive cybersecurity (EnIGMA)
[SWE-agent: EnIGMA][enigma] is a mode for solving offensive cybersecurity (capture the flag) challenges.
EnIGMA achieves state-of-the-art results on multiple cybersecurity benchmarks (see leaderboard).
Please use SWE-agent 0.7 while we update EnIGMA for 1.0.
[enigma]: https://enigma-agent.com
[SWE-bench]: https://github.com/SWE-bench/SWE-bench
[nyu-ctf]: https://arxiv.org/abs/2406.05590
In addition, you might be interested in our other projects:
  
  
  
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Contributions
If you'd like to contribute to the codebase, we welcome issues and pull requests! For larger code changes, we always encourage discussion in issues first.
Citation & contact
SWE-agent is an academic project started at Princeton University by John Yang*, Carlos E. Jimenez*, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press.
来源
awesome · https://github.com/princeton-nlp/SWE-agent
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