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

SWE-agent

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

Repository

Stars
19.4K
Forks
2.1K
License
MIT
Latest
v1.1.0
Last commit
6 days ago
Last verified
May 29, 2026
Repo
SWE-agent/SWE-agent ↗

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.

19.4K starsPythonMITActive this week
Visit websiteGitHub repo
image of SWE-agent
Contents
  1. 01Who SWE-agent is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05Tech stack
  6. 06FAQ
  7. 07Similar open-source tools
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.MIT · Python · 19.4K stars · Active this week

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
tech stack · detected from GitHub

What it's built on#

Languages
C++JavaScriptPython
Frameworks
Flask
frequently asked

FAQ#

Is SWE-agent open source?
What is SWE-agent used for?
How does SWE-agent compare to GitHub Copilot?
also worth a look

Similar open-source tools#

orca

orca

The ultimate IDE for coding agents

3.3KTypeScriptMIT

Additional details

Language
Python
Open issues
58
Contributors
96
First release
2024

Categories

AI & Machine LearningDeveloper ToolsLLMOps & AI Tooling

Tags

AI AgentsLLMDeveloper ToolsCodingTestingWorkflow AutomationLLMOpsGit

The problem it solves#

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.
Agent Skills

Agent Skills

Structured workflows for AI coding agents.

41KShellMIT
Flue Framework

Flue Framework

Build powerful, autonomous agents with TypeScript.

3.4KTypeScriptApache-2.0
jcode

jcode

Next-gen coding agent harness for efficient workflows

6KRustMIT
Goose

Goose

Run repeatable multi-step coding workflows from CLI or desktop

45.1KRustApache-2.0
OpenHands

OpenHands

Delegate scoped coding tasks in isolated, reviewable agent sessions

75.2KPythonMIT

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

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

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.

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