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Self-host flowise-ai

flowise@3.1.4

Visual low-code builder for AI agents and LLM workflows

Archived DiscontinuedOpen SourceApache-2.0
docker run -d --name flowise -p 3000:3000 flowise
Updated3 months ago
LanguageTypescript
Setup difficultyEasy
Stars
55 562
Port
3000 (Web UI and API (docker run maps 3000:3000; PORT env defaults to 3000))
Docker
flowiseai/flowise

What is flowise-ai?

Flowise is an open-source, low-code platform for building agentic AI applications visually: users wire together LLMs, tools, vector stores and retrieval components on a drag-and-drop canvas, covering single-agent chatbots and RAG assistants up to multi-agent Agentflow orchestrations. Flows can be exposed through REST APIs, TypeScript and Python SDKs, or an embeddable chat widget, and the platform records execution traces and metrics for Prometheus or OpenTelemetry. It scales horizontally with a message queue and workers, supports Postgres as well as a local file database, and can keep artifacts in S3, Google Cloud or Azure blob storage. Self-hosting was straightforward via the flowise npm package (Node.js 20+) or a Docker image and compose file, with dozens of documented cloud deployment guides. The project is now discontinued: the vendor announced a sunset, froze the code, archived the GitHub repository in August 2026, marked the npm package and Docker images deprecated, and encourages teams to fork it under the Apache 2.0 licence.

flowise-ai alternatives

Should you self-host flowise-ai?

flowise-ai scores 74/100 on selfhost.directory (how scoring works) and ranks #22 of 209 in AI Agents. It has 55 562 GitHub stars, +73 in the last 30 days.

The repository is archived, so don't expect new releases or security fixes.

Setup is easy: most people get it running in one sitting. An official Docker image is available. It is Apache-2.0-licensed and written mostly in Typescript.

Its closest alternative on selfhost.directory is Orca (91/100, 118 764 stars). It scores higher overall, so compare the two before you pick. See flowise-ai vs Orca side by side.

Features

  • Broad LLM/vector-store support
  • Custom MCP tool support
  • Execution traces and metrics
  • Horizontal scaling with queue
  • Human-in-the-loop review
  • Multi-Agent Orchestration
  • On-Premises Deployment
  • RAG and tool calling
  • REST API
  • SDKs and embedded chat widget

flowise-ai README

How to install flowise-ai

Install flowise-ai with Docker

docker build --no-cache -t flowise .
docker run -d --name flowise -p 3000:3000 flowise

How to configure flowise-ai

  • PORT3000
  • FLOWISE_FILE_SIZE_LIMIT
  • DATABASE_TYPE
  • DATABASE_PATH
  • DATABASE_HOST

flowise-ai releases & version history

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