How do I deploy Plan AI on Railway?

You can deploy Plan AI on Railway by clicking the "Deploy Now" button on this page. Railway will automatically set up all the necessary services and configurations for you.

What are the system requirements?

Railway handles all the infrastructure requirements. You only need a web browser to deploy and manage your application.

Is this template free to use?

Yes, this template is free to use within your existing Railway account.

Can I customize this template?

Yes, you can fully customize this template. After deployment, you will have full control of what you've deployed in your Railway project.

How do I get support for this template?

You can get support through our community forum: plan-ai-f4ce43db, or join our Discord community for more assistance.

Deploy and Host Plan AI on Railway

Plan AI is an open-source meeting intelligence stack that ingests transcripts, enriches them with AI summaries, and synchronizes action items to Kanban-style boards. It’s a full-stack TypeScript project (React + Express + Prisma) with Firebase Auth, PostgreSQL, Qdrant, and OpenAI integrations to keep delivery teams aligned.

About Hosting Plan AI

Deploying Plan AI involves running the Node.js/Express backend with PostgreSQL and Qdrant services, plus the React frontend. You’ll supply Firebase, OpenAI, and optional Jira credentials via environment variables. Railway can host the backend, databases, and vector store in one workspace while the frontend deploys as a static site. Configure backend/.env and frontend/.env with API keys, point the frontend’s API URL at your Railway backend, run database migrations, and you’re live with Swagger docs, RTK Query endpoints, and automated transcript processing.

Common Use Cases

Turn meeting transcripts into AI-curated summaries, tasks, and delivery boards.
Power customer success or consulting teams with searchable, context-aware transcripts.
Provide a template stack for TypeScript-first AI projects that need auth, storage, and vector search.

Dependencies for Plan AI Hosting

PostgreSQL 16+ and Qdrant 1.5+ (Railway managed services or Docker containers).
Firebase Auth/Storage credentials, OpenAI API key, optional Jira OAuth client/secret.

Deployment Dependencies

Backend .env template: backend/.env.template
Frontend .env template: frontend/.env.template
Release checklist: docs/RELEASES.md
Repo: https://github.com/blueberrybytes/plan-ai

Implementation Details

yarn docker boots local Postgres + Qdrant.
yarn dev runs backend + frontend concurrently.
yarn update regenerates TSOA routes, Prisma client, and OpenAPI-derived frontend types.

Why Deploy Plan AI on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Plan AI on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.