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Add Agentset to LLM Applications #293

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Add Agentset to LLM Applications #293

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8ffc556
Add Agentset to LLM applications
Enes830 Jan 31, 2026
881cf36
change agentset description
Enes830 Jan 31, 2026
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1 change: 1 addition & 0 deletions README.md
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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.
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