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SWE-agent

SWE-agent

Open Source(MIT)
Verified
AI-Native
Superseded by mini-swe-agent — this version is now maintenance-only.View mini-swe-agent

Open-source autonomous agent for GitHub issues & coding challenges

Works offline
Global
Self-hostable
Function calling
Public API
+3
Autonomous
Last updated: Oct 6, 2026
Open Source
Visit Site20.1k
More
swe-agent.com

Quick Answer

SWE-agent is an open-source AI agent for developers that enables large language models to autonomously fix GitHub issues, find cybersecurity vulnerabilities, and solve coding challenges. It achieves state-of-the-art performance on SWE-bench and supports multimodal input. Free and open source.

About SWE-agent

SWE-agent is an open-source AI agent that allows language models like GPT-4o or Claude Sonnet 4 to autonomously use tools to fix issues in real GitHub repositories, find cybersecurity vulnerabilities, or perform custom tasks. It is state of the art on SWE-bench among open-source projects and is made for research, governed by a single YAML file and fully documented. It is built and maintained by researchers from Princeton University and Stanford University.

AI-extracted from public sources. May contain errors. Methodology · Report an error
What Makes SWE-agent UniqueAI

SWE-agent is highly configurable via a single YAML file, allowing maximal agency to the language model for free-flowing and generalizable task execution, making it simple and hackable for research.

Decision Intelligence

Best For

AI
Researchers and developers building autonomous coding agents
Engineering teams automating bug fixes in GitHub repositories
Cybersecurity professionals identifying vulnerabilities with AI
Academics and students exploring agentic AI for software engineering
Pricing Overview

Type

Open Source

Starting Price

$0/mo

Free Trial

No

Credit Card

Not Required

Free Plan

Yes

Dimension Scores

· 4.7 avg

How good it is, across universal quality axes

Ease of Use2/10
Customization7/10
Support6/10
Integration2/10
Compliance & Data Protection5/10
Performance5/10
Planning Quality6/10
AI-analyzed from product data·High confidenceHow we score

Task Scores

· 5.3 avg

What it can do, per category it works in · showing 8 of 10 tasks scoring 5+

Observability8/10
Scalability Throughput8/10
Error Recovery7/10
Role Definition6/10
State Management6/10
Task Decomposition5/10
Workflow Orchestration5/10
Tool Use Delegation5/10

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Capabilities
Code
Code Review
Automation
Agent
Memory
Limitations
  • -SWE-agent is now in maintenance-only mode, with development focused on mini-swe-agent
  • -Requires a language model of choice (e.g., GPT-4o or Claude Sonnet 4) to function
Fit Score

Complexity

Advanced

Company Size

Solo
Small
Medium
Enterprise

Team Size

Individual
Small Team
Large Team

Skill Level

Expert
Features
Autonomously fix GitHub issues
Find cybersecurity vulnerabilities
Perform custom tasks
State of the art on SWE-bench among open-source projects
Configurable via a single YAML file
Supports multimodal input for images from GitHub issues
Allows adding custom tools
Technical Capabilities
SDK Available
MCP Compatible (unknown)
Multi-Agent (unknown)
Human-in-Loop (unknown)
Team Features
Webhook Support (unknown)
Has Demo
Function Calling
Sandbox Mode
Audit Logs
No Signup
Works Offline
Requires Host App
Framework
MCP Server
Digital Employee

Deployment

Self Hosted
Developer Access
API
Public
Compliance, Privacy & Trust
GDPR: No info available
SOC 2: No info available
HIPAA: No info available
Trains on user data: Unknown
Human review:
Recommended
Tech Specs
Max upload: 10MB
Response time (est.):
Moderate

The Model(s) Behind It

Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Training Data Provenance
Not disclosed
Relevant to EU AI Act Art. 53 / Annex XI (GPAI)
Supported Tools
Web Browser
Code Interpreter
Terminal
File System
Pricing Plans
Free
Free

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User Reviews

No reviews yet. Be the first to review!

Who It's For
4 roles
Software DevelopersComputer ProgrammersWeb Developers+1 more
Platform, Content & Languages
2 content types
1 languages
CodeTextEnglish+6 more

Output Languages

English

Content Types

Code
Text

Accepts

Text
Image
Code
URL

Produces

Code
Text
Languages: English

Frequently Asked Questions

Trust Score

60/100

Good

Based on 5 data signals

Confidence: High

Reflects publicly available data, not an independent audit

Compliance & Verified38/38
VerifiedYes
Human ReviewYes
Reliability0/10

No published data

Company17/17
Company ListedYes
User Base10K-100K
FundingGrant
Health—

Not yet checked

AI-Assisted Data

Some details are AI-generated estimates — verify with the vendor.

AI-generated estimate: Best For, What Makes Unique

How we source data

AI Governance & Regulatory Disclosures

Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

EU AI Act Risk Tier
Unclassified

Switching & Migration

Migration Difficulty
Moderate Effort
Support:
GitHub
Quick Stats
Agent TypeAutonomous
MemoryShort Term
PlanningBasic
Base ModelGPT-4o +6
PlatformsCLI, API
User Base10K-100K
LaunchedApr 2024
VerifiedOct 2026
Company & Links

Company Name

Princeton University

Based in

United States

Last major update

Jul 2024

Funding

Grant

DocumentationChangelog