awesome-stars category by topic update by github actions cron, create…

…d by starred

topics.md

@@ -499,7 +499,7 @@
 - [microsoft/unilm](https://github.com/microsoft/unilm) - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
 - [alexpinel/Dot](https://github.com/alexpinel/Dot) - Text-To-Speech, RAG, and LLMs. All local!
 - [ScrapeGraphAI/Scrapegraph-ai](https://github.com/ScrapeGraphAI/Scrapegraph-ai) - Python scraper based on AI
-- [Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) - The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
+- [Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) - The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
 - [ax-llm/ax](https://github.com/ax-llm/ax) - The unofficial DSPy framework. Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
 - [Maximilian-Winter/llama-cpp-agent](https://github.com/Maximilian-Winter/llama-cpp-agent) - The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured ou
 - [InternLM/xtuner](https://github.com/InternLM/xtuner) - An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
@@ -652,6 +652,7 @@
 
 ## nodejs 
 
+- [Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) - The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
 - [ax-llm/ax](https://github.com/ax-llm/ax) - The unofficial DSPy framework. Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
 - [OpenInterpreter/open-interpreter](https://github.com/OpenInterpreter/open-interpreter) - A natural language interface for computers
 - [ProjectMirador/mirador-desktop](https://github.com/ProjectMirador/mirador-desktop) - A desktop wrapper for Mirador and its environment, allowing use of local images.