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open-swe

langchain-ai/open-swe

An Open-Source Asynchronous Coding Agent

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

73views this month

11k stars1.2k forksLast push Aug 19, 2026 Python MIT

Decision brief

open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware.

Good fit when

If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively.
Suitable for teams who want extensive control over different aspects such as the model used, sandbox environment, system prompts, etc.

Avoid when

Not recommended if you require real-time interaction with coding agents instead of asynchronous communication.
Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits.

Observed Jul 11, 2026 · Source: enrich:decision_facts

open-swe alternatives Trust report

open-swe vs OpenHands open-swe vs dify open-swe vs langflow

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Aug 19, 2026
Provenance: Not a fork · Organization account; As of Aug 19, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for LangChain. Display-only - separate from trust and ranking.

Company: LangChain·GitHub org profile·Jul 11, 2026
Funding: $25,000,000 (2024-02)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: Open core·GraphCanon curated seed·Jul 11, 2026

Install

pip install open-swe

PyPI

How it fits your stack(14)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Open-source project focused on developing an asynchronous coding agent capable of interacting with user organizations via customizable components like models, sandboxes, tools, triggers, prompts, and middleware.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Aug 19, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Aug 19, 2026
MCP server: No MCP server detected
Source: repo_scan · Aug 19, 2026
Languages: python, javascript
Source: github.language+package.json+pyproject.toml · Aug 19, 2026

Graph entities

LangChaincompany LangChainframework LangGraphframework

README

Getting Started Installation Guide — local dev (backend + dashboard), GitHub App creation, LangSmith, Linear/Slack/GitHub triggers, and production deployment macOS Desktop beta — clone this repository and run from the root to install or update the app Customization Guide — swap t...

For agents

This page has a .md twin and JSON over the API.

/tools/langchain-ai-open-swe.md GET /api/graphcanon/tools/langchain-ai-open-swe GET /api/graphcanon/graph?tool=langchain-ai-open-swe