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 - [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
 - [AutoRAG](https://github.com/Marker-Inc-Korea/AutoRAG) - Open source AutoML tool for RAG. Optimize the RAG answer quality automatically. From generation evaluation datset to deploying optimized RAG pipeline.
+- [Agentset](https://agentset.ai) - Open-source production-ready RAG platform with built-in agentic reasoning, hybrid search, and multimodal support.
 - [Epsilla](https://github.com/epsilla-cloud) - An all-in-one LLM Agent platform with your private data and knowledge, delivers your production-ready AI Agents on Day 1.
 - [Arize-Phoenix](https://phoenix.arize.com/) - Open-source tool for ML observability that runs in your notebook environment. Monitor and fine tune LLM, CV and Tabular Models.
 - [LLM]([https://github.com/simonw/llm) - A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine.