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@@ -358,7 +358,8 @@ If you're interested in the field of LLM, you may find the above list of milesto
 - [LazyLLM](https://github.com/LazyAGI/LazyLLM) - An open-source LLM app for building multi-agent LLMs applications in an easy and lazy way, supports model deployment and fine-tuning.
 - [MemFree](https://github.com/memfreeme/memfree) - Open Source Hybrid AI Search Engine, Instantly Get Accurate Answers from the Internet, Bookmarks, Notes, and Docs. Support One-Click Deployment
 - [unslothai](https://github.com/unslothai/unsloth) - A framework that specializes in efficient fine-tuning. On its GitHub page, you can find ready-to-use fine-tuning templates for various LLMs, allowing you to easily train your own data for free on the Google Colab cloud.
-
+- [General Bots](https://www.youtube.com/watch?v=KJgvUPXi3Fw) - LLM Orchestrator with BASIC support and package based. Omnichannel and WhatsApp support.
+  
 ## LLM Tutorials and Courses
 - [llm-course](https://github.com/mlabonne/llm-course) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
 - [UWaterloo CS 886](https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/) - Recent Advances on Foundation Models.