Deploy and Host Memanto on Railway

About Hosting Memanto on Railway

Memanto runs on Railway as a single HTTP service that exposes the FastAPI REST API, OpenAPI docs, and lightweight Web UI routes. Railway provides automatic HTTPS, public domains, environment variables, and simple redeploys for the containerized service.

Tech Stack

• Python 3.12
• Memanto 0.2.0
• FastAPI and Uvicorn
• Moorcheh SDK for semantic memory storage and retrieval
• Railway public networking and environment variables

Why Deploy Memanto on Railway

Railway is a good fit for Memanto because it can host the API and browser-accessible docs behind an HTTPS domain with minimal infrastructure work. Users can configure their Moorcheh API key in Railway variables, redeploy, and immediately use Memanto's memory endpoints for AI agents.

Common Use Cases

• Persistent memory service for AI agents and coding assistants
• Browser-accessible API docs for experimenting with memory endpoints
• Agent namespace and session management through the REST API
• Semantic recall and grounded answers backed by Moorcheh
• Lightweight team deployment for prototyping agent memory workflows

Deployment Notes

The service listens on port 8000 and Railway routes public traffic through the PORT=8000 variable. Memanto requires a valid MOORCHEH_API_KEY from the Moorcheh dashboard for real memory operations. The template starts successfully with a generated placeholder key so users can open /, /ready, and /docs immediately, but memory API calls should be used only after replacing MOORCHEH_API_KEY with a valid key and redeploying. No persistent Railway volume is mounted because Memanto stores semantic memory in Moorcheh rather than local disk.

Dependencies for Memanto on Railway

Memanto depends on the Python runtime image, the Memanto Python package installed at startup, and an external Moorcheh API key for cloud-backed semantic memory operations.

Deployment Dependencies