Go to file
lazychih114 c413558d9a update
2025-03-06 17:37:35 +08:00
2025-03-06 17:37:35 +08:00
2025-03-05 12:33:22 +08:00
2025-03-06 17:37:35 +08:00
2025-03-05 12:26:04 +08:00

🦉 OWL: Towards General Multi-Agent Assistant for Real-World Task Automation

🦉 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. OWL ranks #1 among open-source frameworks on GAIA benchmark.

Our vision is to revolutionize how AI agents collaborate to solve real-world tasks. By leveraging role-playing mechanisms and dynamic agent interactions, OWL enables more natural, efficient, and robust task automation across diverse domains.

Quick Start

  1. Clone the Github repository:
$ git clone xxx
  1. Set up Python Environment:
$ conda create -n owl python=3.11
$ conda activate owl
  1. Install Dependencies:
$ pip install -r requirements.txt
  1. Set API Keys: We use dotenv to manage API keys. Please copy and check the .env.example file to .env and fill in the necessary API keys.

  2. Run the Demo Code:

$ python run.py

Additionally, We have provided a script to reproduce the results on GAIA. You can check the run_gaia_roleplaying.py file and run the following command:

$ python run_gaia_roleplaying.py

Community

[Camel Link]

[This project]

Architecture

Cite

Description
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Readme 288 MiB
Languages
Python 94.1%
Shell 2.8%
Batchfile 2.5%
Dockerfile 0.6%