SWE-Agent

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SWE-agent is an AI coding agent tool that autonomously fixes GitHub issues using your chosen language model. It can also be used for offensive cybersecurity and competitive coding challenges.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is SWE-agent?

SWE-agent is an advanced agentic framework designed to enable language models (LMs) like GPT-4o or Claude Sonnet 4 to autonomously identify and fix issues within real GitHub repositories. Beyond software engineering tasks, it can be employed for offensive cybersecurity challenges, such as capture the flag, and competitive coding. The tool is highly configurable, governed by a single YAML file, and offers maximal agency to the LM, making it free-flowing and generalizable. Developed by researchers from Princeton University and Stanford University, SWE-agent has achieved state-of-the-art results on the SWE-bench benchmark. Users can try SWE-agent in their browser or explore its capabilities for offensive cybersecurity through its EnIGMA mode.

Best used for

Ideal for developers who need to automate the resolution of GitHub issues, cybersecurity professionals looking to find vulnerabilities, and individuals participating in competitive coding challenges. Especially valuable for those seeking an autonomous agent that leverages their preferred language model for complex software engineering and security tasks.

Common actions

automate code fixes

find vulnerabilities

solve coding challenges

integrate language models

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Capabilities

Key features

Autonomous GitHub issue fixing
LM of choice integration
Offensive cybersecurity capabilities
Competitive coding challenges
Configurable via YAML
State-of-the-art SWE-bench

Target Audience

developercybersecurity professional

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the difference between SWE-agent and mini-SWE-agent?

Mini-SWE-agent is a newer, simpler version that matches the performance of SWE-agent while being significantly less complex. The developers recommend using mini-SWE-agent going forward for most applications due to its improved simplicity and equivalent performance.

Can SWE-agent be used for offensive cybersecurity?

Yes, SWE-agent includes a mode called EnIGMA specifically designed for solving offensive cybersecurity challenges, such as capture the flag. EnIGMA has achieved state-of-the-art results on multiple cybersecurity benchmarks.

Which language models are compatible with SWE-agent?

SWE-agent is designed to work with your language model of choice. Examples mentioned include GPT-4o and Claude Sonnet 4, indicating flexibility in integrating various large language models for its autonomous operations.

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Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

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