Flowise
latestCategory: AI & Machine Learning
Overview
Flowise is an open-source UI visual tool to build and run LLM-powered applications.
Primary Use Cases
Run private, self-hosted AI models and inference pipelines for Flowise without sending data to third-party clouds.
Integrate with local LLM runners (Ollama, vLLM) and OpenAI-compatible API endpoints.
Build custom agentic workflows, document retrieval systems (RAG), and embeddings pipelines.
Key Features
- Hardware acceleration support for CPU and GPU container workloads
- Vector database compatibility for semantic search and knowledge bases
- Modern web UI with multi-user access and API key management
- 1-click Docker deployment with automated HTTPS reverse proxy in tug.sh
Container Specification
flowise:latest
latest
Automated Let's Encrypt (Caddy / Traefik)
Managed host volume mounts
How to Deploy Flowise with tug.sh
Connect your Linux server
Run the 1-line tug.sh agent install command on any Ubuntu, Debian, or Rocky Linux VPS.
Select Flowise from the Marketplace
Pick your domain name, configure custom environment variables if needed, and choose your persistent storage folder.
Click Deploy & Go Live
tug.sh pulls the container, sets up HTTPS certificates, configures the reverse proxy, and boots the service in under 60 seconds.
Deploy on Your Server
Experience effortless self-hosting. Deploy Flowise on Hetzner, DigitalOcean, or your home lab with zero maintenance headaches.
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