Trigix

An open-source, AI-native workflow automation platform — a Rust execution engine, 180+ node types, and a visual drag-and-drop canvas. Self-hosted, multi-tenant, Kubernetes-ready.

⭐ Star on GitHub Quick Start Documentation

GitHub stars MIT License Rust

🎉 v1.3.0 is out — 44 new node types (now 180), including Vertex AI, Bedrock, Snowflake, Feishu/DingTalk/WeChat Work, and SSH/SFTP/IMAP. Read the release notes →

What is Trigix?

Trigix is an enterprise-grade, AI-native workflow automation platform. Build, run, and monitor complex workflows visually — connecting AI models, APIs, databases, and SaaS tools with a drag-and-drop canvas editor. It is a powerful self-hosted n8n alternative built for AI-first automation.

🦀 Rust Execution Engine

Async DAG scheduling, parallel fan-out/fan-in, retries, timeouts, and cancellation.

🤖 AI-Native

Built-in LLM nodes, an agent tool-use loop, RAG over pgvector, and MCP protocol support.

🧩 180+ Node Types

AI models, 100+ SaaS integrations, data transforms, and control flow — extend with the node SDK.

🏢 Enterprise-Ready

SSO (OIDC), JWT + RBAC, multi-tenant, encrypted secrets, audit log, Kubernetes Helm chart.

Features

Quick Start

Deploy on Kubernetes with the Helm chart (published to GHCR):

helm install trigix oci://ghcr.io/bj-qizhi/charts/trigix --version 0.3.3 \
  --namespace trigix --create-namespace

Or run on a single host with Docker Compose:

docker compose -f docker-compose.prod.yml up -d --build

Full instructions in the README.