Flowise — Open-Source Low-Code Builder for LLM Apps and AI Agents
About Flowise
Flowise is an open-source, low-code drag-and-drop tool for building customized LLM flows and AI agents. Built on LangChain and LlamaIndex, it lets developers visually compose chatbots, RAG pipelines, and multi-agent systems without writing boilerplate code.
Key Capabilities
Visual drag-and-drop canvas for composing LLM flows
100+ integrations including OpenAI, Anthropic, HuggingFace, and local models
Built on LangChain and LlamaIndex for production-grade pipelines
One-click deployment to cloud or self-hosted infrastructure
Built-in credential management and API key security
Active open-source community with frequent updates
Standout Features
Drag-and-Drop Canvas
Visually compose LLM chains, RAG pipelines, and agents without code
100+ Integrations
Connect to any LLM, vector store, or tool via prebuilt components
Self-Hosted
Run on your own servers for full data control and privacy
Perfect for
Compare Flowise
Community Buzz
Community Buzz
No recent posts yet
We are monitoring X for fresh discussions about Flowise.
Similar Tools to Flowise
Skills.sh
Open directory and leaderboard for reusable AI agent skills. Discover and install modular capabilities that enhance AI coding agents with procedural knowledge through simple one-command installation.
Claude Cookbook
Official collection of Jupyter notebooks and code recipes from Anthropic for building with the Claude API. Covers tool use, MCP integration, agent patterns, extended thinking, RAG, prompt caching, multimodal capabilities, and production patterns.
Langfuse
Open-source LLM observability and engineering platform for tracing, evaluating, and debugging AI applications. Langfuse provides production-grade monitoring with trace spans, cost tracking, prompt management, evaluation datasets, and a playground — all with no per-seat fees and a self-hostable MIT-licensed core.
Gemini Cookbook
Official collection of guides, quickstarts, and Jupyter notebooks from Google for building with the Gemini API. Covers multimodal prompting, function calling, grounding with Google Search, context caching, audio/video understanding, and agent patterns.
Semantic Kernel
Open-source SDK from Microsoft for integrating LLMs into applications using C#, Python, and Java. Semantic Kernel provides an agent framework, plugin architecture, prompt template engine, planner, and memory connectors — designed for enterprise AI orchestration with Azure OpenAI and other providers.
LangChain Hub
Community prompt and chain repository integrated with LangSmith. LangChain Hub lets developers discover, share, and version-control prompt templates, agent configurations, and chain definitions — a prompt registry that connects directly to the LangChain ecosystem for rapid AI prototyping.
Ready to try Flowise?
Join thousands of developers who are already using Flowise.














