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README.md

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<a href="LICENSE"><img src="https://img.shields.io/badge/license-Apache%202.0-black.svg" alt="License"></a>
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</p>
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<p align="center">
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<a href="https://superagenticai.github.io/turboagents/"><img src="https://img.shields.io/badge/Documentation-111111?style=for-the-badge&logo=gitbook&logoColor=white" alt="Documentation"></a>
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<a href="https://superagenticai.github.io/turboagents/getting-started/"><img src="https://img.shields.io/badge/Getting%20Started-1c1c1c?style=for-the-badge&logo=readthedocs&logoColor=white" alt="Getting Started"></a>
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<a href="https://superagenticai.github.io/turboagents/benchmarks/"><img src="https://img.shields.io/badge/Benchmarks-2a2a2a?style=for-the-badge&logo=speedtest&logoColor=white" alt="Benchmarks"></a>
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<a href="https://github.com/SuperagenticAI/turboagents"><img src="https://img.shields.io/badge/GitHub-000000?style=for-the-badge&logo=github&logoColor=white" alt="GitHub"></a>
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</p>
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**Compression Infrastructure For Agent Runtimes And Retrieval Stacks**
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`turboagents` is a single Python package for TurboQuant-style KV-cache and vector
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## Start Here
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Docs:
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- `https://superagenticai.github.io/turboagents/`
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- `https://superagenticai.github.io/turboagents/getting-started/`
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- `https://superagenticai.github.io/turboagents/benchmarks/`
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Repository:
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- `https://github.com/SuperagenticAI/turboagents`
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Use the links above as the fastest route through the project. Start with the
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public docs if you want the overall picture, Getting Started if you want the
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first commands, Benchmarks if you want the current numbers, and GitHub if you
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want the source tree and release history.
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## Why It Exists
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