SWE-agent
Open-source autonomous agent for GitHub issues & coding challenges
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.
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.
SWE-agent is built for research, offering a simple and hackable design that provides maximal agency to the language model, making it highly generalizable for various coding tasks.
Decision Intelligence
Best For
AIType
Starting Price
$0/mo
Free Trial
No
Credit Card
Not Required
Free Plan
Yes
Dimension Scores
· 5.0 avgHow good it is, across universal quality axes
Task Scores
· 5.3 avgWhat it can do, per category it works in · showing 8 of 10 tasks scoring 5+
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
- -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
Complexity
Company Size
Team Size
Skill Level
Deployment
The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Underlying Model Benchmarks
Third-party leaderboard scores for the AI model(s) powering this — including price & speed. These describe the underlying model, not the product's own metrics.
llm-coding
Best submission: "SWE-agent + Claude 4 Sonnet" (2025-05-22)
Scores from official leaderboards or vendor-reported. Percentile is cross-benchmark normalized when populated by an aggregator. See methodology.
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User Reviews
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Who It's For4 rolesSoftware DevelopersComputer ProgrammersWeb Developers+1 more
Platform, Content & Languages2 content types1 languagesCodeTextEnglish+6 more
Output Languages
Content Types
Accepts
Produces
Frequently Asked Questions
What can SWE-agent do?
SWE-agent can: Autonomously fix GitHub issues, Find cybersecurity vulnerabilities, Perform custom tasks, State of the art on SWE-bench among open-source projects. Best for: Researchers building and evaluating autonomous coding agents.
How much does SWE-agent cost?
SWE-agent is open source and free to self-host. Cloud hosting options may have separate pricing.
Is SWE-agent free?
Yes, SWE-agent is open source and free to self-host. Managed hosting may carry separate costs.
What makes SWE-agent unique?
SWE-agent is built for research, offering a simple and hackable design that provides maximal agency to the language model, making it highly generalizable for various coding tasks.
Does SWE-agent have an API?
Yes, SWE-agent offers a public API for developers to integrate its capabilities into custom applications and workflows.
What platforms does SWE-agent support?
SWE-agent is available on CLI and API.
What languages does SWE-agent support?
SWE-agent supports English.
Who is SWE-agent for?
SWE-agent is designed for Researchers building and evaluating autonomous coding agents; Developers automating GitHub issue resolution; Cybersecurity professionals identifying vulnerabilities with AI.
Trust Score
Good
Based on 6 data signals
Confidence: High
Reflects publicly available data, not an independent audit
No published data
Not yet checked
Some details are AI-generated estimates — verify with the vendor.
AI-generated estimate: Best For, What Makes Unique
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.