open-swe — Agent Tool by langchain-ai

by langchain-ai · Agent Tool · ★ 9.7k

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About open-swe

Open SWE The open-source framework for building your org's internal coding agent Elite engineering orgs like Stripe, Ramp, and Coinbase are building their own internal coding agents — Slackbots, CLIs, and web apps that meet engineers where they already work. These agents are connected to internal systems with the right context, permissioning, and safety boundaries to operate with minimal human oversight. Open SWE is the open-source version of this pattern. Built on LangGraph and Deep Agents, it gives you the same architecture those companies built internally: cloud sandboxes, Slack and Linear invocation, subagent orchestration, and automatic PR creation — ready to customize for your own codebase and workflows. [!NOTE] 💬 Read the announcement blog post here Architecture Open SWE makes the same core architectural decisions as the best internal coding agents. Here's how it maps to the patterns described in [this overview](ht

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Quick Facts

Stars9,717
Forks1,088
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score47.628/100
Open Issues16
Last Updated2026-05-05
Created2025-05-21
Platformsclaude-code, python
Est. Tokens~799k

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Frequently Asked Questions

What is open-swe?

open-swe is An Open-Source Asynchronous Coding Agent. It is categorized as a Agent Tool with 9.7k GitHub stars.

What programming language is open-swe written in?

open-swe is primarily written in Python. It covers topics such as agent, agents, ai.

How do I install or use open-swe?

You can find installation instructions and usage details in the open-swe GitHub repository at github.com/langchain-ai/open-swe. The project has 9.7k stars and 1088 forks, indicating an active community.

What license does open-swe use?

open-swe is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to open-swe?

The top alternatives to open-swe on Agent Skills Hub include bytebot, nanobot, system_prompts_leaks. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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