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Home/Categories/AI & Machine Learning/SWE-agent
icon of SWE-agent

SWE-agent

Open source alternative to Devin AI, GitHub Copilot and Modulo AI

  • 20.6K stars
  • MIT
  • Active this week
  • Last commit 2 days ago

Last verified Oct 20, 2026

SWE-agent is an open source AI agent from Princeton that autonomously resolves GitHub issues and performs coding tasks by giving LLMs a structured interface to edit files, run tests, and navigate codebases. MIT licensed.

Visit websiteGitHub20.6K stars
image of SWE-agent
TL;DR

SWE-agent is an MIT-licensed software engineering agent framework that turns issue descriptions into code changes through a terminal and repository environment. It replaces one-off coding-agent scripts for researchers and platform teams evaluating agent behavior on real codebases.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs and the FAQ
who it's for

Who SWE-agent is for#

AI researchers testing coding-agent ideas

Use SWE-agent to run repeatable experiments on repository tasks and measure whether prompt or tool changes improve outcomes.

Skip if:

Skip if you only need a hosted coding assistant for everyday developer autocomplete.

Platform teams prototyping internal agents

The framework helps teams test issue-to-patch workflows before building deeper infrastructure.

Skip if:

Skip if you need enterprise policy controls, audit workflows, and human approval out of the box.

the problem

The problem it solves#

Coding agents are hard to evaluate when they operate in opaque chats or toy tasks. Real software work requires reading files, running tests, editing code, and recovering from failures inside a repository.

Teams building or evaluating agents need a repeatable harness. Without one, every experiment becomes a custom script with unclear prompts, inconsistent tools, and weak evidence about whether the agent actually fixed the issue.

how SWE-agent solves it

How it solves it#

Repository-based agent loop

Runs an agent against a real codebase with shell commands, file edits, and test feedback instead of only chat messages.

Benchmark and evaluation focus

The project is closely tied to software engineering benchmark workflows, making it useful for comparing agent changes across tasks.

Configurable agent environment

Lets researchers adjust models, prompts, tools, and execution settings for controlled experiments.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Built for agent researchSWE-agent gives researchers and platform teams a concrete framework for studying coding behavior, not just a demo assistant.
  • MIT licensed frameworkThe permissive license supports internal experimentation and modification for teams building their own agent workflows.

Trade-offs

  • -Requires careful sandboxingRunning agents that can execute shell commands and edit files needs strong environment isolation, task scoping, and review before any output reaches production.
tech stack · detected from GitHub

What it's built on#

Languages
C++JavaScriptPython
Frameworks
Flask
frequently asked

FAQ#

Is SWE-agent open source?

Yes. SWE-agent is open source under the MIT license.

What is SWE-agent used for?

It is used to build, run, and evaluate software engineering agents that work inside real repositories.

How does SWE-agent compare to GitHub Copilot?

GitHub Copilot assists developers inside editors. SWE-agent is a framework for autonomous issue-solving experiments and benchmark runs.

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