SWE-agent is an open-source AI agent that allows large language models to autonomously interact with a repository, fix issues, and perform various coding tasks, including cybersecurity vulnerability detection and competitive programming.

Is SWE-agent still actively developed?

SWE-agent is currently in maintenance-only mode. The developers recommend using mini-swe-agent, which offers similar performance with a simpler and more flexible architecture.

What language models can SWE-agent use?

SWE-agent is designed to be model-agnostic, allowing users to integrate their language model of choice, such as GPT-4o or Claude 3.5 Sonnet.

What kind of tasks can SWE-agent perform?

SWE-agent can fix issues in GitHub repositories, find cybersecurity vulnerabilities, solve coding challenges, and perform other custom development tasks, including those requiring multimodal input like image processing.

Who developed SWE-agent?

SWE-agent was built and is maintained by researchers from Princeton University and Stanford University.

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AI Agents

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SWE-agent

Open Source(MIT)

Open source

Best for developers

Autonomous coding agent

Research-focused

Highly configurable

Autonomously fix GitHub issues and perform coding tasks with your preferred language model.

Autonomous

Coding

GPT-4

OPEN_SOURCE

ADVANCED Complexity

HYBRID

Last updated: May 27, 2026

swe-agent.com

Quick Answer

SWE-agent is an open-source AI agent developed by Princeton and Stanford researchers, enabling large language models to autonomously fix GitHub issues, find cybersecurity vulnerabilities, and solve coding challenges. It's highly configurable and designed for advanced users and researchers, though it's now in maintenance mode with mini-swe-agent recommended as its successor.

Decision Intelligence

Best For

Software developers automating bug fixes

Researchers in AI and software engineering

Cybersecurity professionals for vulnerability detection

Teams solving competitive coding challenges

Developers needing autonomous code generation and debugging

Not Ideal For

Non-technical users seeking a no-code solution

Simple text generation or content creation tasks

Real-time customer support or conversational AI

Users who prefer a fully managed, cloud-based service without local setup

Projects requiring minimal human oversight in critical coding workflows

Fit Score

Complexity

ADVANCED

Company Size

SOLO

SMALL

MEDIUM

ENTERPRISE

Team Size

INDIVIDUAL

SMALL_TEAM

LARGE_TEAM

Skill Level

INTERMEDIATE

EXPERT

About SWE-agent

SWE-agent is an open-source AI agent that empowers language models like GPT-4o or Claude Sonnet 4 to autonomously resolve issues in real GitHub repositories, identify cybersecurity vulnerabilities, and tackle custom coding challenges. Designed for research, it offers state-of-the-art performance on SWE-bench, is highly configurable, and provides maximal agency to the underlying language model.

AI-extracted from public sources. May contain errors. Methodology · Are you SWE-agent? Claim listing

What Makes SWE-agent Unique

SWE-agent stands out for its ability to autonomously fix real-world GitHub issues and its highly configurable architecture, allowing researchers and developers to easily adapt it for various coding and cybersecurity tasks using their choice of language model.

Capabilities

Code generation

Debugging

Problem-solving

Tool utilization

Multi-step reasoning

File manipulation

Web browsing

Multimodal processing (images)

Task Categories

Pros

+Achieves state-of-the-art performance on SWE-bench
+Offers high flexibility with choice of language models
+Fully configurable through a single YAML file
+Designed for research, making it simple and hackable
+Supports multimodal input for processing images in issues
+Open-source with an active community

Limitations

-Currently in maintenance-only mode, superseded by mini-swe-agent
-Requires technical expertise for setup and configuration
-Performance is dependent on the chosen language model
-Not a plug-and-play solution for non-developers
-May require human oversight for critical code changes

Frequently Asked Questions

Your Actions

Dimension Scores

Ease of Use3/10

Output Quality7/10

Value for Money10/10

Customization7/10

Support7/10

Integration4/10

Task Scores

Bug Detection

8

Context Understanding

8

Security Scanning

8

Code Explanation

7

Refactoring

7

Documentation Generation

7

Performance Optimization

7

Code Completion

6

Trust Score

9/100

Limited Data

Based on 2 data signals

Reflects publicly available data, not an independent audit

Company Strength5/25

Company ListedPrinceton University

Operational Trust4/20

Open Source18.7K stars

Switching & Migration

Migration Difficulty

Moderate Effort

Community Forum + Docs

API Access

Open Source

Quick Stats

Agent TypeAutonomous

CategoryCoding

PlatformsCLI, WEB, API

Reviews0

LaunchedFeb 2024

Setup Time30 min

Company & Links

Company Name

Princeton University

Launched

February 2024

Documentation Changelog

Twitter/X YouTube

AI Agents

AI Agents

SWE-agent

Quick Answer

Decision Intelligence

Best For

Not Ideal For

Frequently Asked Questions

What is SWE-agent?

Is SWE-agent still actively developed?

What language models can SWE-agent use?

What kind of tasks can SWE-agent perform?

Who developed SWE-agent?

Dimension Scores

Task Scores

Trust Score

Switching & Migration