Deploy archestra

MCP-native AI platform with web UI and secure agent orchestration

Deploy archestra

Deploy and Host Archestra on Railway

About Hosting Archestra on Railway

Run Archestra as a single Railway service from the official upstream Docker image, with web access immediately available after deploy.

Tech Stack

  • Archestra unified platform image (frontend + backend + embedded PostgreSQL)
  • Next.js frontend
  • Node.js backend API
  • PostgreSQL (in-container)

Why Deploy Archestra on Railway

Railway gives one-click deployment, managed networking, and simple environment-variable based configuration while preserving Archestra's upstream runtime defaults.

Common Use Cases

  • Internal AI assistant portal with MCP tooling
  • Team AI gateway and model management
  • Secure experimentation environment for agents and workflows

Deployment Notes

  • Uses pinned image archestra/platform:1.2.15.
  • Public HTTP entry is port 3000 (UI). Backend API runs on 9000 inside the container.
  • PORT=3000 is set for Railway routing.
  • ARCHESTRA_QUICKSTART=false avoids Docker-socket quickstart mode.
  • Default admin credentials are exposed via env vars for first login.
  • No persistent volume is mounted in this template.

Dependencies for Archestra on Railway

Single-service deployment with no external managed dependencies.

Deployment Dependencies

ServiceImagePortVolume
apparchestra/platform:1.2.153000-

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