SWE-agent

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SWE-agent is an open-source AI agent framework that uses GPT-4, Claude, and other LMs to autonomously identify bugs, propose fixes, and apply changes directly in real GitHub repositories, streamlining code maintenance and accelerating development workflows.
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May 15 2025
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SWE-agent

SWE-agent

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SWE-agent
SWE-agent is an open-source AI agent framework that uses GPT-4, Claude, and other LMs to autonomously identify bugs, propose fixes, and apply changes directly in real GitHub repositories, streamlining code maintenance and accelerating development workflows.
Added on:
Social & Email:
Platform:
May 15 2025
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What is SWE-agent?

SWE-agent is a developer-focused AI agent framework that integrates with GitHub to autonomously diagnose and resolve code issues. It runs in Docker or GitHub Codespaces, uses your preferred language model, and allows you to configure tool bundles for tasks like linting, testing, and deployment. SWE-agent generates clear action trajectories, applies pull requests with fixes, and provides insights via its trajectory inspector, enabling teams to automate code review, bug fixing, and repository cleanup efficiently.

Who will use SWE-agent?

  • Software developers
  • DevOps engineers
  • Open-source maintainers
  • QA engineers
  • Engineering managers

How to use the SWE-agent?

  • Step1: Install SWE-agent via pip or Docker according to the documentation.
  • Step2: Configure your language model API keys in the .env file.
  • Step3: Define or select tool bundles for testing, linting, or custom tasks.
  • Step4: Run sweagent against a GitHub repository using the CLI or Codespaces.
  • Step5: Review the generated trajectory and apply automated fixes via pull request.

Platform

  • mac
  • windows
  • linux

SWE-agent's Core Features & Benefits

The Core Features

  • Autonomous code issue detection and fixing
  • Integration with GitHub repositories
  • Support for GPT-4, Claude, and custom LMs
  • Configurable tool bundles
  • Docker and Codespaces deployment
  • Trajectory inspector for step-by-step output

The Benefits

  • Accelerates debugging and maintenance
  • Reduces manual code review effort
  • Seamless CI/CD pipeline integration
  • Customizable to project toolchains
  • Improves code quality and consistency

SWE-agent's Main Use Cases & Applications

  • Automated bug fixing in pull requests
  • Continuous code quality monitoring
  • Batch repository cleanup and refactoring
  • Automating test and lint workflows
  • CI/CD integration for self-healing pipelines

SWE-agent's Pros & Cons

The Pros

State-of-the-art performance on SWE-bench among open-source projects
Enables autonomous language model tool usage for diverse tasks
Highly configurable and fully documented with a simple YAML file
Free-flowing and generalizable design allowing maximum LM agency
Developed and maintained by leading researchers at Princeton and Stanford
Open-source and research-friendly, designed to be hackable

The Cons

No explicit pricing information available
No mention of native mobile or desktop applications
May require technical expertise to install and customize
Limited information about user community or commercial support

FAQs of SWE-agent

SWE-agent Company Information

Analytic of SWE-agent

Visit Over Time

Monthly Visits
27.5k
Avg Visit Duration
00:00:15
Page Per Visit
1.85
Bounce Rate
39.98%
Dec 2025 - Feb 2026 All Traffic

Geography

Top 5 Regions
United States
27.88%
India
6.22%
Vietnam
5.88%
Thailand
5.73%
Taiwan
4.98%
Dec 2025 - Feb 2026 Worldwide Desktop Only

Traffic Sources

Direct
42.76%
Search
33.20%
Referrals
17.48%
Social
5.01%
Paid Referrals
1.12%
Mail
0.13%
Dec 2025 - Feb 2026 Desktop Only

Top Keywords

KeywordTrafficCost Per Click
swe-agent2.4k $ --
swe agent960 $ 5.56
swe52.3k $ 2.86
swe-agent test_reversed.py230 $ --
princeton-nlp/swe-agent180 $ --

SWE-agent Reviews

5/5
Do You Recommend SWE-agent? Leave a Comment Below!

SWE-agent's Main Competitors and alternatives?

  • Auto-GPT
  • LangChain Agents
  • GitHub Copilot
  • BabyAGI
  • OpenAI Function Calling

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