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Add lumen to AI and Agents > Data Layer (#3261)
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README.md

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@@ -158,6 +158,7 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
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- [entroly](https://github.com/juyterman1000/entroly) - An auditable context control plane that optimizes prompt context, stabilizes cache prefixes, and verifies answers locally with WITNESS.
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- [instructor](https://github.com/567-labs/instructor) - A library for extracting structured data from LLMs, powered by Pydantic.
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- [llama-index](https://github.com/run-llama/llama_index) - A data framework for your LLM application.
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- [lumen](https://github.com/holoviz/lumen) - An agent framework for conversational analysis of SQL, dataframe and multidimensional array data.
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- [mem0](https://github.com/mem0ai/mem0) - An intelligent memory layer for AI agents enabling personalized interactions.
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- [outlines](https://github.com/dottxt-ai/outlines) - Structured text generation for LLMs with JSON schema, regex, and grammar-constrained decoding.
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- Pre-trained Models and Inference

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