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Self-host LoomFlow

v0.1.11

AI workflow builder: natural language to runnable API

BetaOpen SourceMIT
Updatedlast month
LanguageTypescript
Setup difficultyModerate
Stars
136
CPU
1 CPU
RAM
1 GB RAM
Port
5000 (LoomFlow application HTTP server)
Install with Docker Compose
LoomFlow AI chat interfaceLoomFlow visual workflow canvas editor

What is LoomFlow?

LoomFlow is a lightweight AI-native workflow platform for individuals and small teams. Users write a plain-language description and the AI produces an executable workflow on a visual canvas with 12 node types. Workflows can be adjusted visually, versioned, and published as secured HTTP endpoints with a single global API key per user. Public share links let anyone run a workflow without an account. The platform includes an admin dashboard for user management, audit logs, and usage statistics; a canvas AI assistant that can modify workflows from chat; execution traces with per-node timing and token usage; and an automated evolution engine that spots performance regressions and suggests improvements. Models are configured at runtime via the admin UI with any OpenAI-compatible endpoint. Search providers (Tavily, Exa, Google) and S3-compatible object storage are integrated. Deployment is a single Docker Compose command that brings up the Next.js app, PostgreSQL 16, PostgREST, and Nginx — fully self-contained. Minimum server requirements are 1 CPU and 1 GB RAM on Ubuntu 20.04+. The project is MIT-licensed and positions itself as a simpler, AI-first alternative to Dify and n8n.

Should you self-host LoomFlow?

LoomFlow scores 44/100 on selfhost.directory (how scoring works) and ranks #5 of 7 in AI Workflows. It has 136 GitHub stars.

It shipped 9 stable releases in the past year. The latest, v0.1.11, came out on 2 September 2026. New versions land roughly every 2 days.

Setup is moderate: expect some configuration beyond a single command. It is MIT-licensed and written mostly in Typescript.

Its closest alternative on selfhost.directory is Activepieces (81/100, 25 259 stars). It scores higher overall, so compare the two before you pick. See LoomFlow vs Activepieces side by side.

Features

  • Admin Dashboard
  • Bring your own model
  • Canvas AI assistant
  • Execution trace & debug assistant
  • Extensible Node System
  • Internationalization
  • Natural language to workflow
  • S3-compatible object storage
  • Search provider integration
  • Shareable workflow pages
  • Team & permissions
  • Visual workflow canvas
  • Workflow as API
  • Workflow evolution engine
  • Workflow notes (Brew Notes)

LoomFlow README

How to install LoomFlow

Install LoomFlow with Docker Compose

Environment variables
PORT=5000, POSTGRES_PASSWORD, PGRST_JWT_SECRET, COZE_SUPABASE_SERVICE_ROLE_KEY, DEEPSEEK_API_KEY (optional), OSS_*, SEARCH_API_*, ARK_*

git clone https://github.com/banmu123/LoomFlow.git cd LoomFlow bash scripts/init-env.sh # one-time: creates .env with random passwords & JWT keys docker compose up -d # auto-initializes database (tables + default admin)

Includes PostgreSQL, PostgREST, Nginx — fully self-contained, no Supabase cloud required. Access at http://localhost:5000, default admin admin/123456 (change immediately).

LoomFlow releases & version history

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