AI Agents
Agent-Reach
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
★ 94.0k starsMIT
View guide →// agents · SWE-agent/SWE-agent
SWE-agent
SWE-agent is an open-source ai agents project by SWE-agent (SWE-agent/SWE-agent on GitHub). It has 20,506 GitHub stars and 2,247 forks, is released under the MIT license, and was last updated on GitHub on 6 October 2026.
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
★ 20.5k stars⑂ 2.2k forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- SWE-agent/SWE-agent
- GitHub stars
- 20,506
- Forks
- 2,247
- License
- MIT
- Last updated on GitHub
- 6 October 2026
- Category
- AI Agents
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Pick an issue or benchmark
Choose a real GitHub issue to attempt, or a SWE-bench split to benchmark against.
- Get SWE-agent
Clone the repository, or try it in your browser with the GitHub Codespaces link in the README.
- Install and configure your model
Install from source per the docs and configure the LM you want to drive the agent.
- Run your first fix
Follow the docs' hello-world command to run the agent on one issue and review the patch it produces.
// features
Why people love it
Automatic issue fixing
Reads a GitHub issue, navigates the repo, edits code and produces a candidate fix.
Your choice of LM
Works with the language model you configure rather than locking you to one provider.
SWE-bench batch mode
Runs and benchmarks the agent across SWE-bench tasks for reproducible research results.
EnIGMA variant
A dedicated mode adapts SWE-agent for offensive cybersecurity and capture-the-flag style challenges.
Codespaces trial
Try it in the browser via GitHub Codespaces without a local install.
Research-grade design
The agent-computer interface design comes from the peer-reviewed SWE-agent paper (NeurIPS 2024).
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// run it
Run it yourself
- Clone the repository
Get the source code from GitHub and enter the project directory.
git clone https://github.com/SWE-agent/SWE-agent.git cd SWE-agent - Install from source
The README links to the docs' source installation guide.
pip install -e . # see README/docs installation for the exact command - Run the hello world example
The documentation's hello-world page runs the agent on a sample issue from the command line.
# Follow the 'Hello world from the command line' guide linked in the README
// use cases
What you can build
- Benchmark a new model on SWE-bench Verified with a reference agent
- Draft a fix for a well-scoped bug in an open-source repo you maintain
- Study agent-computer interface design for your own coding agent
- Run the EnIGMA variant in an authorized security research setting
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// faq
Questions, answered
Who maintains this project?
It is maintained by the SWE-agent team (John Yang, Carlos Jimenez and collaborators) on GitHub.
Is it free to use?
Yes - SWE-agent is MIT licensed and free to use.
Does it need a paid API key?
You supply the language model: most setups use a paid provider API key (or a hosted/local model you configure), and long issue-solving runs can consume significant tokens.
How does it compare to alternatives?
Compared with commercial coding agents, SWE-agent is a research-first, fully configurable harness - ideal for benchmarking and modification, less polished as an everyday IDE assistant.
How do I get started?
Try the Codespaces link in the README, or install from source and run the docs' hello-world example on a sample issue.
// keep exploring
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Get SWE-agent
Free and open — grab the source, star the repo, and start creating.