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@@ -297,7 +297,8 @@ The above tables coule be better summarized by this wonderful visualization from
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- [Haystack](https://haystack.deepset.ai/) - an open-source NLP framework that allows you to use LLMs and transformer-based models from Hugging Face, OpenAI and Cohere to interact with your own data.
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- [Sidekick](https://github.com/ai-sidekick/sidekick) - Data integration platform for LLMs.
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-- [LangChain](https://github.com/hwchase17/langchain) - Building applications with LLMs through composability
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+- [LangChain](https://github.com/hwchase17/langchain) - Building applications with LLMs through composability
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+- [LiteChain](https://github.com/rogeriochaves/litechain) - Lightweight alternative to LangChain for composing LLMs
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- [wechat-chatgpt](https://github.com/fuergaosi233/wechat-chatgpt) - Use ChatGPT On Wechat via wechaty
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- [promptfoo](https://github.com/typpo/promptfoo) - Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality.
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- [Agenta](https://github.com/agenta-ai/agenta) - Easily build, version, evaluate and deploy your LLM-powered apps.
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Rogério Chaves