Deploy and Host Hermes Agent on Railway

Hermes Agent is a self-improving AI agent built by Nous Research. It features a built-in learning loop — creating skills from experience, improving them during use, persisting knowledge across sessions, and building a deepening model of who you are. Talk to it from Telegram, Discord, Slack, WhatsApp, Signal, or the CLI.

About Hosting Hermes Agent

This Railway template deploys Hermes Agent with a Python-based web management layer. The web server provides a configuration UI protected by Basic Auth for setting up LLM providers, messaging channels, tool API keys, and model settings, plus a status dashboard with live gateway state and logs. On startup, if a provider API key is configured, the gateway launches automatically as a managed subprocess. All state persists on a Railway volume at /data. After initial configuration, you can remove the public endpoint — Hermes operates entirely through its configured messaging channels. It supports multiple LLM providers including OpenRouter, DeepSeek, GLM/Z.AI, Kimi, and MiniMax with no vendor lock-in.

Common Use Cases

Running a persistent, self-improving AI assistant accessible from Telegram, Discord, Slack, WhatsApp, or Signal with cross-platform conversation continuity
Deploying an autonomous agent with scheduled automations — daily reports, nightly backups, weekly audits — delivered to any messaging platform via built-in cron scheduling
Hosting a multi-provider AI gateway with skill creation, persistent memory, subagent delegation, and MCP integration on serverless-friendly infrastructure

Dependencies for Hermes Agent Hosting

Python 3.11+ and Node.js (installed during build)
Persistent volume mounted at /data

Deployment Dependencies

Hermes Agent GitHub Repository
Hermes Agent Documentation
OpenRouter API Keys (or any supported LLM provider)
Telegram BotFather (for Telegram channel setup)
Discord Developer Portal (for Discord channel setup)

Implementation Details

Environment variables for the Railway service:

Variable	Default	Description
`PORT`	`8080`	Web server port
`ADMIN_USERNAME`	`admin`	Basic auth username for the config UI
`ADMIN_PASSWORD`	(generated)	Basic auth password. If unset, a random password is printed to deploy logs

All Hermes configuration (LLM providers, messaging channels, tool API keys) is managed through the web UI at your service's public URL. Mount a persistent volume at /data to preserve config, workspace, sessions, skills, and memory across redeploys.

After initial setup, remove the public endpoint from your Railway service — Hermes operates entirely through its configured messaging channels.

Why Deploy Hermes Agent 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 Hermes Agent 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.