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Add wechat-mac-rpa to LLM Applications #720

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- [LiteChain](https://github.com/rogeriochaves/litechain) - Lightweight alternative to LangChain for composing LLMs
- [magentic](https://github.com/jackmpcollins/magentic) - Seamlessly integrate LLMs as Python functions
- [wechat-chatgpt](https://github.com/fuergaosi233/wechat-chatgpt) - Use ChatGPT On Wechat via wechaty
- [wechat-mac-rpa](https://github.com/wq19901103wq/wechat-mac-rpa) - Visual AI agent for WeChat automation on macOS — no protocol reverse engineering, no database access, uses multimodal vision perception and LLM with memory system and multi-agent architecture
- [promptfoo](https://github.com/typpo/promptfoo) - Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality.
- [Agenta](https://github.com/agenta-ai/agenta) - Easily build, version, evaluate and deploy your LLM-powered apps.
- [Serge](https://github.com/serge-chat/serge) - a chat interface crafted with llama.cpp for running Alpaca models. No API keys, entirely self-hosted!
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