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Add entroly to AI > Data Layer (#3233)
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README.md

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@@ -155,6 +155,7 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
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- [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas.
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- [TradingAgents](https://github.com/TauricResearch/TradingAgents) - A multi-agents LLM financial trading framework.
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- Data Layer
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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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- [mem0](https://github.com/mem0ai/mem0) - An intelligent memory layer for AI agents enabling personalized interactions.

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