Mini Swe Agent
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple,
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About
The minimal AI software engineering agent
📣 New tutorial on building minimal AI agents 📣 Gemini 3 Pro reaches 74% on SWE-bench verified with mini-swe-agent! 📣 New blogpost: Randomly switching between GPT-5 and Sonnet 4 boosts performance
](https://mini-swe-agent.com/latest/) [ [](https://pypi.org/project/mini-swe-agent/)
!WARNING] This is **mini-swe-agent v2**. Read the [migration guide. For the previous version, check out the v1 branch.
In 2024, we built SWE-bench & SWE-agent and helped kickstart the coding agent revolution.
We now ask: What if our agent was 100x simpler, and still worked nearly as well?
mini is
- Widely adopted: Used by Meta, NVIDIA, Essential AI, IBM, Nebius, Anyscale, Princeton University, Stanford University, and many more.
- Minimal: Just some 100 lines of python for the agent class (and a bit more for the environment,
model, and run script) — no fancy dependencies!
- Performant: Scores >74% on the SWE-bench verified benchmark; starts much faster than Claude Code
- Deployable: Supports local environments, docker/podman, singularity/apptainer, bublewrap, contree, and more
- Compatible: Supports all models via litellm, openrouter, portkey, and more. Support for
/completionand/responseendpoints, interleaved thinking etc. - Built by the Princeton & Stanford team behind SWE-bench, SWE-agent, and more
- Tested: [](https://codecov.io/gh/SWE-agent/mini-swe-agent)
More motivation (for research)
SWE-agent jump-started the development of AI agents in 2024. Back then, we placed a lot of emphasis on tools and special interfaces for the agent. However, one year later, as LMs have become more capable, a lot of this is not needed at all to build a useful agent! In fact, the mini agent
Don't lose this
Three weeks from now, you'll want Mini Swe Agent again. Will you remember where to find it?
Save it to your library and the next time you need Mini Swe Agent, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple,. Best for anyone looking to make their AI assistant more capable in content. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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