SWE-agent SWE-agent
SWE-agent is an open-source research framework that enables language models to autonomously solve software engineering tasks by interacting with filesystems and executing terminal commands in a Docker sandbox. It is designed for maximum transparency and research-grade observability, allowing users to trace and debug every action the AI agent takes.
The project is currently in maintenance-only mode as development efforts have shifted to mini-swe-agent, which offers similar performance with significantly reduced complexity.
As of
- State-of-the-art performance on SWE-bench
- Agent-computer interface (ACI) for structured tool use
- Fully configurable via YAML files
- Comprehensive trajectory logging for debugging
- EnIGMA mode for automated cybersecurity/CTF challenges
Researchers, platform engineering teams, and security professionals who need full observability, auditability, and control over their autonomous coding pipelines.
Teams seeking a low-maintenance, plug-and-play SaaS experience or those without the engineering capacity to manage local Docker-based infrastructure.
The tool is free to use (MIT license). Users are responsible for their own LLM API costs (e.g., GPT-4o, Claude 3.7) and infrastructure costs for running Docker and execution environments.
A powerful, transparent research artifact that delivers top-tier performance for users willing to handle the operational overhead of self-hosting; however, most new users should prioritize the newer mini-swe-agent.
Is SWE-agent free?
Yes - SWE-agent is Open Source. The tool is free to use (MIT license). Users are responsible for their own LLM API costs (e.g., GPT-4o, Claude 3.7) and infrastructure costs for running Docker and execution environments.
What is SWE-agent best for?
Researchers, platform engineering teams, and security professionals who need full observability, auditability, and control over their autonomous coding pipelines.
Who makes SWE-agent?
SWE-agent is developed by Princeton University and Stanford University. It is listed in the Autonomous & Async Agents category on ai.dosa.dev.
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