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README.md
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README.md
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<h1 align="center">
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🐝 Deep Swarm: Multi-Agent Collaboration for Task Automation in the Wild<br>
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🦉 OWL: Towards General Multi-Agent Assistant for Real-World Task Automation
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</h1>
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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.
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🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation.
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Built on top of the [Camel-AI Framework](https://github.com/camel-ai/camel).
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OWL ranks #1 among open-source frameworks on GAIA benchmark.
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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.
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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.
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# Key Features
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<!-- # Key Features -->
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# Quick Start
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2. **Set up Python Environment:**
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```bash
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$ conda create -n deepswarm python=3.11
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$ conda activate deepswarm
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$ conda create -n owl python=3.11
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$ conda activate owl
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```
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3. **Install Dependencies:**
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$ python run.py
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```
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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:
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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:
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```bash
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$ python run_gaia_roleplaying.py
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