10 Open-Source No-Code AI Platforms for Building LLM Apps, RAG Systems, and AI Agents

Building an LLM application no longer requires wiring orchestration code by hand. A class of open-source platforms now exposes retrieval, agents, and workflows through visual canvases, web UIs, and plain-English prompts. These tools let developers prototype in minutes and self-host for data control. This article reviews ten open-source projects across three jobs: building LLM apps, building RAG systems, and building AI agents. Each entry covers what the tool does, its core capabilities, who it suits, and its verified license and repository. Repository: github.com/HKUDS/AutoAgent · License: MIT · Paper: arXiv:2502.05957 AutoAgent is a zero-code agent framework from the University of Hong Kong Data Intelligence Lab. You describe a goal in natural language. The system then constructs tools, agents, and multi-agent workflows without manual coding. It ships an agent editor, a workflow editor, and a ready-to-use research assistant mode. The project is research-backed. Its paper argues that agent frameworks exclude non-programmers, and it reports strong open-source results on the GAIA benchmark. AutoAgent…