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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.
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If you find this repo useful, please consider citing our work ([citation](#-cite)).
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</div>
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- [Starting the Web UI](#starting-the-web-ui)
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- [Features](#features)
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- [🧪 Experiments](#-experiments)
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- [⏱️ Future Plans](#️-future-plans)
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- [📄 License](#-license)
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- [🤝 Contributing](#-contributing)
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- [🔥 Community](#-community)
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# 🧪 Experiments
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To reproduce OWL's GAIA benchmark score:
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Furthermore, to ensure optimal performance on the GAIA benchmark, please note that our `gaia69` branch includes a customized version of the CAMEL framework in the `owl/camel` directory. This version contains enhanced toolkits with improved stability for gaia benchmark compared to the standard CAMEL installation.
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We also provide an enhanced OWL in the `main` branch, so you can directly benefit from upgraded toolkits and increased stability even without switching branches.
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For the original GAIA-specific performance, we recommend our `gaia69` branch.
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When running the benchmark evaluation:
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This will execute the same configuration that achieved our top-ranking performance on the GAIA benchmark.
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# ⏱️ Future Plans
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We're continuously working to improve OWL. Here's what's on our roadmap:
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- [x] Write a technical blog post detailing our exploration and insights in multi-agent collaboration in real-world tasks
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- [x] Enhance the toolkit ecosystem with more specialized tools for domain-specific tasks
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- [x] Develop more sophisticated agent interaction patterns and communication protocols
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- [x] Improve performance on complex multi-step reasoning tasks
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# 📄 License
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The source code is licensed under Apache 2.0.
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