---
title: "owl"
type: "tool"
slug: "camel-ai-owl"
canonical_url: "https://www.graphcanon.com/tools/camel-ai-owl"
github_url: "https://github.com/camel-ai/owl"
homepage_url: null
stars: 19926
forks: 2300
primary_language: "Python"
license: null
categories: ["ai-agents"]
tags: ["artificial-intelligence", "web-interaction", "task-automation", "multi-agent-systems", "agent"]
updated_at: "2026-07-07T18:26:55.54208+00:00"
---

# owl

> Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

OWL is a cutting-edge framework for multi-agent collaboration, designed to enhance task automation and agent interactions across various domains.

## Facts

- Repository: https://github.com/camel-ai/owl
- Stars: 19,926 · Forks: 2,300 · Open issues: 115 · Watchers: 129
- Primary language: Python
- Last pushed: 2026-06-23T08:42:44+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)

## Tags

artificial-intelligence, web-interaction, task-automation, multi-agent-systems, agent

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## README (excerpt)

```text
<div align="center">

</div>

<h1 align="center">
	🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
</h1>

<div align="center">

[![Documentation][docs-image]][docs-url]
[![Discord][discord-image]][discord-url]
[![X][x-image]][x-url]
[![Reddit][reddit-image]][reddit-url]
[![Wechat][wechat-image]][wechat-url]
[![Wechat][owl-image]][owl-url]
[![Hugging Face][huggingface-image]][huggingface-url]
[![Star][star-image]][star-url]
[![Package License][package-license-image]][package-license-url]


</div>

<hr>

<div align="center">
<h4 align="center">

[中文阅读](https://github.com/camel-ai/owl/tree/main/README_zh.md) |
[Community](https://github.com/camel-ai/owl#community) |
[Installation](#️-installation) |
[Examples](https://github.com/camel-ai/owl/tree/main/owl) |
[Paper](https://arxiv.org/abs/2505.23885) |
[Citation](https://github.com/camel-ai/owl#citation) |
[Contributing](https://github.com/camel-ai/owl/graphs/contributors) |
[CAMEL-AI](https://www.camel-ai.org/) |

</h4>

<div align="center" style="background-color: #f0f7ff; padding: 10px; border-radius: 5px; margin: 15px 0;">
  <h3 style="color: #1e88e5; margin: 0;">
    🏆 OWL achieves <span style="color: #d81b60; font-weight: bold; font-size: 1.2em;">69.09</span> average score on GAIA benchmark and ranks <span style="color: #d81b60; font-weight: bold; font-size: 1.2em;">🏅️ #1</span> among open-source frameworks! 🏆
  </h3>
</div>

<div align="center">

🦉 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](https://github.com/camel-ai/camel).

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](#-cite)).
</div>



<br>

</div>



# 📋 Table of Contents

- [📋 Table of Contents](#-table-of-contents)
- [🔥 News](#-news)
- [🎬 Demo Video](#-demo-video)
- [✨️ Core Features](#️-core-features)
- [🛠️ Installation](#️-installation)
  - [**Prerequisites**](#prerequisites)
    - [Install Python](#install-python)
  - [**Installation Options**](#installation-options)
    - [Option 1: Using uv (Recommended)](#option-1-using-uv-recommended)
    - [Option 2: Using venv and pip](#option-2-using-venv-and-pip)
    - [Option 3: Using conda](#option-3-using-conda)
    - [Option 4: Using Docker](#option-4-using-docker)
      - [**Using Pre-built Image (Recommended)**](#using-pre-built-image-recommended)
      - [**Building Image Locally**](#building-image-locally)
      - [**Using Convenience Scripts**](#using-convenience-scripts)
  - [**Setup Environment Variables**](#setup-environment-variables)
    - [Setting Environment Variables Directly](#setting-environment-variables-directly)
    - [Alternative: Using a `.env` File](#alternative-using-a-env-file)
    - [**MCP Desktop Commander Setup**](#mcp-desktop-commander-setup)
- [🚀 Quick Start](#-quick-start)
  - [Basic Usage](#basic-usage)
  - [Running with Different Models](#running-with-different-models)
    - [Model Requirements](#model-requirements)
      - [Supported Models](#supported-models)
    - [Example Tasks](#example-tasks)
- [🧰 Toolkits and Capabilities](#-toolkits-and-capabilities)
  - [Model Context Protocol (MCP)](#model-context-protocol-mcp)
    - [**Install Node.js**](#install-nodejs)
    - [Windows](#windows)
    - [Linux](#linux)
    - [Mac](#mac)
    - [**Install Playwright MCP Service**](#install-playwright-mcp-service)
  - [Available Toolkits](#available-toolkits)
  - [Available Toolkits](#available-toolkits-1)
    - [Multimodal Toolkits (Require multimodal model capabilities)](#multimodal-toolkits-require-multimodal-model-capabilities)
    - [Text-Based Toolkits](#text-based-toolkits)
  - [Customizing Your Configuration](#customizing-your-conf
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/camel-ai-owl`](/api/graphcanon/tools/camel-ai-owl)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_