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Basic Information

SWE-agent is a research-focused agent framework that lets a user-selected language model autonomously use tools to perform software engineering and security tasks. It is designed to take real GitHub issues and attempt automated fixes, to find cybersecurity vulnerabilities, and to run custom automated tasks and benchmarks. The project emphasizes generality and free-flowing LM agency while remaining configurable and hackable for researchers. It is presented as state-of-the-art on SWE-bench among open-source projects and includes a specialized EnIGMA mode for offensive cybersecurity capture-the-flag challenges. The repository includes documentation, examples like a hello-world command-line usage and Codespaces support, and links to related projects such as Mini-SWE-Agent and SWE-bench. The codebase and artifacts are intended for developers and researchers who want to build, evaluate, and experiment with autonomous LM-driven software engineering agents.

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App Details

Features
State-of-the-art performance on SWE-bench among open-source projects and an explicit focus on research and reproducibility. Configurability through a single YAML file that governs agent behavior and tool usage. Free-flowing and generalizable agent design that leaves maximal agency to the chosen language model. A specialized EnIGMA mode for solving offensive cybersecurity CTF challenges. Integration guidance and runnable examples including Codespaces and a compact Mini-SWE-Agent reference implementation. Extensive documentation, benchmarking utilities, CI badges for tests and docs, and an MIT license for permissive reuse. The project also lists companion repositories and tooling (SWE-ReX, SWE-bench, SWE-smith, sb-cli) for evaluation and smaller examples.
Use Cases
SWE-agent helps researchers and developers automate and evaluate language-model-driven software engineering workflows by providing a configurable platform that uses LMs to inspect repositories, propose fixes, and run toolchains. It accelerates experimentation by offering documented installation, hello-world examples, benchmarking on SWE-bench, and reproducible YAML configuration for agent behavior. For cybersecurity researchers and practitioners, the EnIGMA mode provides a state-of-the-art approach to capture-the-flag tasks and vulnerability discovery. The repository is designed to be hackable and extensible, enabling contributions, comparative evaluations, and integration with different LMs. It also supplies citation information for academic use and encourages issue-driven development and pull requests.

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