Mini Swe Agent
The Mini Swe Agent is an open-source AI agent designed to solve GitHub issues or assist in command line tasks. It is radically simple, consisting of only 100 lines of Python code, and does not require huge configurations or a giant monorepo. The agent scores over 74% on the SWE-bench verified benchmark and is widely adopted by companies such as Meta, NVIDIA, and IBM. It is also compatible with various models, including Litellm, Openrouter, and Portkey, and supports local environments, Docker, Singularity, and other deployment options. The agent's simplicity and flexibility make it an ideal choice for developers, researchers, and users who want a hackable tool that can be easily extended and customized. The Mini Swe Agent is built by the Princeton and Stanford team behind SWE-bench and SWE-agent, and is tested using Codecov. The project provides a range of features, including a CLI, batch inference, trajectory browser, and Python bindings, making it a versatile tool for various use cases. The agent's documentation is extensive, with a quick start guide, usage examples, and a FAQ section, making it easy for users to get started and troubleshoot issues. Overall, the Mini Swe Agent is a powerful and flexible tool that can be used for a variety of tasks, from solving GitHub issues to assisting in command line tasks, and is an excellent choice for anyone looking for a simple and effective AI agent. The agent's performance is also evaluated on the SWE-bench leaderboard, which provides a comprehensive comparison of different LMs with the mini agent. Additionally, the project provides a migration guide for users who want to switch from the previous version of the agent to the new version. The agent's simplicity and performance make it an ideal choice for users who want a reliable and efficient AI agent for their software engineering tasks.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
The Mini Swe Agent solves the problem of providing a simple and effective AI agent for software engineering tasks, such as solving GitHub issues or assisting in command line tasks. The agent's radical simplicity and flexibility make it an ideal choice for developers, researchers, and users who want a hackable tool that can be easily extended and customized. The agent's compatibility with various models and deployment options also makes it a versatile tool for various use cases. By providing a simple and effective AI agent, the Mini Swe Agent helps users to streamline their software engineering tasks and improve their productivity.
Use cases
- Solving GitHub issues
- Assisting in command line tasks
- Software engineering tasks
- Research and development
- Deployment and testing
Audience
- Developers
- Researchers
- Data Scientists
Pros
- Radically simple
- Highly performant
- Flexible and customizable
- Compatible with various models and deployment options
Cons
- Limited documentation for advanced users
- May require additional setup for certain use cases
Official website: https://github.com/SWE-agent/mini-swe-agent
Canonical LambdaBase page: https://www.lambdabase.com/tools/mini-swe-agent