camel-ai/owl
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
![Documentation][docs-url] ![Discord][discord-url] ![X][x-url] ![Reddit][reddit-url] ![Wechat][wechat-url] ![Wechat][owl-url] ![Hugging Face][huggingface-url] ![Star][star-url] ![Package License][package-license-url] [](https://arxiv.org/abs/2505.23885) 中文阅读 | Community | Installation | Examples | Paper | Citation | Contributing | CAMEL-AI | 🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents collaborate to solve real-world tasks. By leveraging dynamic agent interactions, OWL enables more natural, efficient, and robust task automation across diverse domains. If you find this repo useful, please consider citing our work (citation). https://github.com/user-attachments/assets/2a2a825d-39ea-45c5-9ba1-f9d58efbc372 https://private-user-images.githubusercontent.com/55657767/420212194-e813fc05-136a-485f-8df3-f10d9b4e63ec.mp4 This video demonstrates how to install OWL locally and showcases its capabilities as a cutting-edge framework for multi-agent collaboration: https://www.youtube.com/watch?v=8XlqVyAZOr8 Before installing OWL, ensure you have Python installed (version 3.10, 3.11, or 3.12 is supported): OWL supports multiple installation methods to fit your workflow preferences. OWL requires various API keys to interact with different services.…
Read the full README ↗ · Preview checked 2026-10-27T18:20:29.944Z
Inside the original README — Document outline
- 📋 Table of Contents
- 🔥 News
- 🎬 Demo Video
- ✨️ Core Features
- 🛠️ Installation
- Prerequisites
- Install Python
- Installation Options
- Option 1: Using uv (Recommended)
- Option 2: Using venv and pip
- Option 3: Using conda
- Option 4: Using Docker
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Repository facts
- Owner
- camel-ai
- Primary language
- Python
- Stars
- 20,164
- Forks
- 2,291
- Open issues + pull requests
- 119
- License
- Not reported — inspect the license file
- Archived
- No
- Default branch
- main
- Created
- 2025-03-03T15:42:51.000Z
- Last push
- 2026-10-27T10:08:19.000Z
Topics and intended use
Owner-supplied topics: agent, artificial-intelligence, multi-agent-systems, task-automation, web-interaction
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T13:20:02.570Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer