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langchain-ai/open-swe

An Open-Source Asynchronous Coding Agent

Python ◇ agent MIT
★11.2KSTARS
⑂1.3KFORKS
!196ISSUES
🏆#1,506GLOBAL RANK
🔥43DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

open-swe is open-swe is an open-source project written in Python: An Open-Source Asynchronous Coding Agent.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), langchain-ai/open-swe has accumulated 11,165 GitHub stars and 1,314 forks. It is written in Python, licensed under MIT, and ranks #1,506 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository langchain-ai/open-swe ↗
Primary Category agent
Language & Stack Python
Software License MIT
Community Traction ★ 11.2K stars · ⑂ 1.3K forks · #1,506 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 196 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 100/100 · Grade A+
✅
Is open-swe actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, open-swe is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (10 days ago). Supported by 11,165 stars and 1,314 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 3, 2026
10 days since last push
Issue Backlog
196 Open Issues
Healthy Issue Cadence
Community Backing
1.3K Forks
11.2K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for langchain-ai/open-swe
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Momentum

+165

STARS · LAST 30 DAYS

6

PER DAY

#253

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+165+540
Per day166
Forks gained+0+11+66

open-swe gained 165 stars in the last 30 days, about 6 a day, and now has 11.2K. It is about 1 year old and has averaged roughly 11.2K stars a year. It ranks #253 among Python repositories and #1,506 across all languages on GitHubRepo.

Trending Record

open-swe has maintained a continuous presence across global trending indexes, peaking at #220. Below is the 30-day activity profile:

💡 Overview

open-swe is an open-source project written in Python: An Open-Source Asynchronous Coding Agent.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agents, ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install open-swe

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

open-swe coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with open-swe.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install open-swe using your package manager: `pip install open-swe`

2

Initialize your project workspace or configuration file for open-swe.

3

Import open-swe into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `open-swe --help` to verify successful setup.

👍 Strengths

Active community backing with 10,763 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

langchain-ai/open-swe is currently ranked #1,506 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,501 tweepy/tweepy Python ★ 11.2K Compare ↗
#1,502 NVIDIA/auto-ontology Python ★ 11.2K Compare ↗
#1,503 mRemoteNG/mRemoteNG C# ★ 11.2K Compare ↗
#1,504 voxel51/fiftyone TypeScript ★ 11.2K Compare ↗
#1,505 dmtrKovalenko/fff Rust ★ 11.2K Compare ↗
#1,506 langchain-ai/open-swe This Project Python ★ 11.2K
#1,507 trailhq/Trail-Code TypeScript ★ 11.2K Compare ↗
#1,508 SonarSource/sonarqube Java ★ 11.1K Compare ↗
#1,509 doctrine/lexer PHP ★ 11.1K Compare ↗
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Frequently Asked Questions

What does open-swe do? +

An Open-Source Asynchronous Coding Agent

Is open-swe actively maintained in 2026? +

Yes, open-swe is actively maintained. The latest code push was recorded on Nov 3, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 11,165 stars and 196 open issues.

What language is open-swe written in? +

The primary language is Python. Topics include: agent, agents, ai, anthropic, claudecode.

How many stars does open-swe have? +

open-swe has 11,165 stars and 1,314 forks on GitHub.

How does open-swe rank among GitHub repositories? +

With 11,165 stars, langchain-ai/open-swe is ranked #1,506 globally across all repositories tracked on GitHubRepo and #253 among Python projects.

What license is open-swe distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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