Deploy and Host QwenPaw on Railway

About Hosting QwenPaw on Railway

QwenPaw is a personal AI assistant platform. Railway runs it as a managed Docker deployment with automatic networking, logs, and simple scaling.

Tech Stack

• QwenPaw (Python + Node.js console)
• Docker image: agentscope/qwenpaw:v1.1.0
• Railway managed runtime
• Persistent volume storage

Why Deploy QwenPaw on Railway

• Fast image-based deployment with no server maintenance
• Built-in domain, TLS, and centralized logs
• Easy environment-variable based configuration
• One volume mount for durable memory and configuration data

Common Use Cases

• Personal AI assistant with long-term memory
• Multi-channel bot hub for chat platforms
• Skill-based automation and scheduled tasks
• Secure self-hosted assistant experiments

Deployment Notes

• Service image is pinned to agentscope/qwenpaw:v1.1.0.
• App traffic routes through PORT=8088; QwenPaw runtime port is QWENPAW_PORT=8088.
• Persistent data is mounted at /app/working; secrets are redirected to /app/working/.secret when /app/working.secret is not separately mounted.
• After first login, configure model provider API keys in Console settings.

Dependencies for QwenPaw on Railway

This deployment uses a single HTTP application service.

Deployment Dependencies