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Open SWE

Open-source asynchronous coding agent from LangChain — submit coding jobs from Slack, Linear, or GitHub and get pull requests back.

★ 10,498 GitHub MIT coding-agentlangchainlanggraphdeep-agentsslacklinear AI Agents

Overview

Open SWE is an open-source, asynchronous coding agent framework from LangChain, built for engineering organizations that want their own internal coding agent — the same architecture used by elite teams at Stripe, Ramp, and Coinbase. Built on LangGraph and Deep Agents, it lets you submit coding jobs that run in isolated cloud sandboxes with full shell access, then automatically opens pull requests with the results. It ships with a web UI, a Slackbot, and a CLI, integrates with Linear for issue tracking and Slack for team notifications, and supports Modal, Daytona, Runloop, E2B, and LangSmith as sandbox providers. Every task runs in its own isolated environment with a curated toolset, so the blast radius stays small while the agent operates with minimal human oversight. MIT-licensed and already one of the most popular open-source coding agent frameworks.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  open-swe:
    image: zsssh/open-swe:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/open-swe:/data

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Guides & articles

How to Deploy Open SWE: Step-by-Step Setup Guide

Learn how to deploy Open SWE with Docker Compose, connect GitHub OAuth, configure Slack and Linear triggers, and run your first coding job end to end.

Aug 7, 2026

Open SWE: LangChain's Open-Source Internal Coding Agent

Open SWE is LangChain's open-source asynchronous coding agent framework — the same architecture Stripe, Ramp, and Coinbase built internally. Trigger jobs from Slack, Linear, or GitHub and get pull requests back automatically.

Aug 7, 2026