ИИ-агенты
Agent-Reach
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
★ 94,0 тыс. звёздMIT
Смотреть руководство →SWE-agent — проект с открытым исходным кодом из категории «ИИ-агенты» от SWE-agent (SWE-agent/SWE-agent на GitHub). У него 20 506 звёзд на GitHub и 2 247 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 6 октября 2026.
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
Choose a real GitHub issue to attempt, or a SWE-bench split to benchmark against.
Clone the repository, or try it in your browser with the GitHub Codespaces link in the README.
Install from source per the docs and configure the LM you want to drive the agent.
Follow the docs' hello-world command to run the agent on one issue and review the patch it produces.
Reads a GitHub issue, navigates the repo, edits code and produces a candidate fix.
Works with the language model you configure rather than locking you to one provider.
Runs and benchmarks the agent across SWE-bench tasks for reproducible research results.
A dedicated mode adapts SWE-agent for offensive cybersecurity and capture-the-flag style challenges.
Try it in the browser via GitHub Codespaces without a local install.
The agent-computer interface design comes from the peer-reviewed SWE-agent paper (NeurIPS 2024).
Get the source code from GitHub and enter the project directory.
git clone https://github.com/SWE-agent/SWE-agent.git
cd SWE-agentThe README links to the docs' source installation guide.
pip install -e . # see README/docs installation for the exact commandThe 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 READMEIt is maintained by the SWE-agent team (John Yang, Carlos Jimenez and collaborators) on GitHub.
Yes - SWE-agent is MIT licensed and free to use.
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.
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.
Try the Codespaces link in the README, or install from source and run the docs' hello-world example on a sample issue.
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
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