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<h1 align="center">
🐝 Deep Swarm: Multi-Agent Collaboration for Task Automation in the Wild<br>
🦉 OWL: Towards General Multi-Agent Assistant for Real-World Task Automation
</h1>
Deep Swarm is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation. Built on top of the Camel Framework, Deep Swarm ranks #1 among open-source frameworks.
🦉 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).
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, Deep Swarm enables more natural, efficient, and robust task automation across diverse domains.
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.
# Key Features
<!-- # Key Features -->
# Quick Start
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2. **Set up Python Environment:**
```bash
$ conda create -n deepswarm python=3.11
$ conda activate deepswarm
$ conda create -n owl python=3.11
$ conda activate owl
```
3. **Install Dependencies:**
@@ -37,7 +39,7 @@ $ pip install -r requirements.txt
$ python run.py
```
Additionally, We have provided a script to reproduce the results in GAIA. You can check the `run_gaia_roleplaying.py` file and run the following command:
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:
```bash
$ python run_gaia_roleplaying.py

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