8 Best Flowise Alternatives in 2026 (Open Source)
Flowise — Build AI Agents, Visually. Easiest no-code AI agent builder with one-command setup (npx flowise start) — simpler than Langflow, targeting non-developers who want AI workflows without Python
These 8 open-source tools do the same job. They are ordered by how closely they match Flowise, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| Flowise(original) | 55.5k | +697 | 2026-08-13 |
| Langflow | 155.4k | +1,457 | 2026-09-29 |
| Dify | 157.6k | +3,668 | 2026-09-30 |
| iX | 1.0k | +0 | 2024-03-03 |
| LLMStack | 2.3k | +2 | 2024-12-11 |
| Flock | 1.1k | +4 | 2026-07-06 |
| Chaindesk | 3.0k | +4 | 2024-06-17 |
| AgentPilot | 568 | +5 | 2025-05-15 |
| OpenAgents | 4.9k | +20 | 2024-11-18 |
1. Langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
What sets it apart: Best visual builder for LLM workflows with direct MCP server deployment — more production-ready than Flowise with API-first architecture
Best for: Rapid prototyping of AI agent workflows with visual builder; Non-developers building LLM applications without coding
2. Dify
Production-ready platform for agentic workflow development.
What sets it apart: Unlike LangGraph (code-first orchestration), Dify offers a complete visual IDE combining workflow builder, RAG pipeline, prompt engineering, and production monitoring in one platform — the Vercel of LLM apps
Best for: Teams building RAG-powered chatbots and AI apps with visual workflow and no backend coding; Product teams who need LLMOps monitoring alongside app development in one platform
3. iX
Autonomous GPT-4 agent platform
What sets it apart: vs LangChain/AutoGen: visual no-code drag-and-drop editor with native multi-agent orchestration and horizontal worker scaling — design complex agent workflows visually instead of writing code
Best for: Building custom multi-agent teams with visual no-code editor; Rapid prototyping of AI workflows without coding; Organizations needing self-hosted parallel agent execution at scale
4. LLMStack
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
What sets it apart: vs Flowise / Dify: no-code AI platform with multi-tenant support, built-in vector DB, and Slack/Discord integration — deploy AI agents from Google Drive/Notion data without writing code
Best for: Non-developers wanting to build AI agents and chatbots without coding; Teams needing multi-LLM chain workflows with data integration; Organizations wanting self-hosted AI platforms with multi-tenant support
5. Flock
Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用
What sets it apart: vs Dify/Flowise: native human-in-the-loop approval, subgraph nodes for modular reuse, and MCP protocol support for flexible tool integration
Best for: Teams building conversational AI with visual workflow design; Organizations needing human-in-the-loop agent workflows
6. Chaindesk
The no-code platform for building custom LLM Agents
What sets it apart: vs Botpress/Voiceflow: no-code LLM agent builder with semantic search — evolved into Chaindesk managed platform for production chatbot deployment
Best for: Non-technical users wanting to build LLM-powered chatbots; Quick customer support bot prototyping; Teams evaluating no-code LLM agent platforms
7. AgentPilot
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
What sets it apart: vs ChatGPT/Claude desktop: local multi-agent workflow builder with graph-based design, 20+ LLM providers via LiteLLM, branching chats, and built-in multi-language code interpreter
Best for: Power users building complex multi-agent workflows on desktop; Developers wanting visual graph-based agent orchestration with code execution
8. OpenAgents
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
What sets it apart: vs agent frameworks (LangChain/AutoGen): complete full-stack platform with web UI for general users, not just developers — three specialized agents (Data/Plugins/Web) ready to use
Best for: Data analysis and visualization workflows for non-technical users; Research on real-world agent evaluation and benchmarking