6 no-code LLM/RAG/Agent builder tools for AI engineers. Production-grade and 100% open-source! (find the GitHub repos in the replies)
1️⃣ Sim AI A drag-and-drop UI to build AI agent workflows! Sim AI is a lightweight, user-friendly platform that makes creating AI agent workflows accessible to everyone. Supports all major LLMs, MCP servers, vectorDBs, etc. 100% open-source with 18k stars The video below depicts a finance assistance app created with Sim and connected to Telegram in minutes. The Finance Agent uses Firecrawl for web searches and accesses stock data via Alpha Vantage's API through MCP servers. 🔗 github.com/simstudioai/sim 2️⃣ Transformer Lab Transformer Lab is an app to experiment with LLMs: - Train, fine-tune, or chat. - One-click LLM download - Drag-n-drop UI for RAG. - Built-in logging, and more. A 100% open-source and local! 🔗 github.com/transformerlab/tr… 3️⃣ RAGFlow RAGFlow is a RAG engine for deep document understanding! It lets you build enterprise-grade RAG workflows on complex docs with well-founded citations. Supports multimodal data, deep research, etc. 100% open-source with 68k+ stars! 🔗 github.com/infiniflow/ragflo… 4️⃣ AutoAgent AutoAgent is a zero-code framework that lets you build and deploy Agents using natural language. - Universal LLM support - Native self-managing Vector DB - Function-calling and ReAct interaction modes. 100% open-source with 8k stars! 🔗 github.com/HKUDS/AutoAgent 5️⃣ Llama Factory LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code. Supports 100+ models, multimodal fine-tuning, PPO, DPO, experiment tracking, and much more! 100% open-source with 62k+ stars! 🔗 github.com/hiyouga/LLaMA-Fac… 6️⃣ Anything LLM The all-in-one AI app you were looking for. Chat with your docs, use AI Agents, hyper-configurable, multi-user, & no frustrating setup required. Can run locally on your computer! 100% open-source with 48k+ stars! 🔗 github.com/Mintplex-Labs/any… 👉 Over to you: What other no-code tools would you add here?

Nov 8, 2025 · 6:31 AM UTC

If you found it insightful, reshare it with your network. Find me → @_avichawla Every day, I share tutorials and insights on DS, ML, LLMs, and RAGs.
6 no-code LLM/RAG/Agent builder tools for AI engineers. Production-grade and 100% open-source! (find the GitHub repos in the replies)
1
1
Replying to @_avichawla
The benefits of biodiversity include improved efficiency, better decision-making, and new opportunities in practice.