---
title: "Deploy QwenPaw"
description: "Personal AI assistant with web console, skills and chat channels"
category: "AI/ML"
url: https://railway.com/deploy/qwenpaw-2
---

# Deploy QwenPaw

Personal AI assistant with web console, skills and chat channels

**[Deploy QwenPaw on Railway](https://railway.com/template/qwenpaw-2)**

Machine-readable deploy manifest (JSON, validated by TemplateCI): https://railway.com/deploy/qwenpaw-2/manifest.json

- **Creator:** zer0person's Projects
- **Category:** AI/ML
- **Total deploys:** 1

## Template content

### QwenPaw

- **Image:** agentscope/qwenpaw:latest
- **Start command:** `sh -c 'export QWENPAW_SECRET_DIR=/app/working/.secret; exec /entrypoint.sh'`
- **Public domain:** Yes

## Documentation

# Deploy and Host QwenPaw on Railway

[QwenPaw](https://github.com/agentscope-ai/QwenPaw) is a personal AI assistant from AgentScope. It runs in your own environment, has a web console, skills (documents, browser, scheduled tasks) and can connect to chat channels such as DingTalk, Feishu, QQ and Discord.

## About Hosting QwenPaw

This template runs the official `agentscope/qwenpaw:latest` image on port 8088 with a persistent volume at `/app/working` (config, memory, skills and provider keys). Because the agent can run commands and read files, the template turns on QwenPaw's login: an admin username and a random password are generated for you and shown in the service's **Variables** tab (`QWENPAW_AUTH_USERNAME`, `QWENPAW_AUTH_PASSWORD`). Open the public URL, sign in with them, then add an LLM provider and its API key in the console settings (or use a local model endpoint).

## Common Use Cases

- A private AI assistant reachable from your browser and chat apps
- Scheduled tasks and document or spreadsheet work through built-in skills
- Connecting a model provider (DashScope, OpenAI and others) to your messaging channels

## Dependencies for QwenPaw Hosting

- One service with a volume; no database
- An API key for the LLM provider you choose (entered in the console)

### Deployment Dependencies

- [QwenPaw on GitHub](https://github.com/agentscope-ai/QwenPaw)
- [Docker image](https://hub.docker.com/r/agentscope/qwenpaw)
- [Documentation](https://qwenpaw.agentscope.io)

## Why Deploy QwenPaw on Railway?

Railway gives you a public HTTPS URL, a persistent volume and automatic restarts with no server to maintain. The generated login keeps strangers out of an agent that can run tools, so keep the password private.


## Similar templates

- [Chat Chat](https://railway.com/deploy/-WWW5r) — Chat Chat, your own unified chat and search to AI platform.
- [Weaviate](https://railway.com/deploy/weaviate-1) — Vector database with hybrid search and an API key-protected API
- [Möbius v0.1 Personal AI OS](https://railway.com/deploy/mobius-v01-personal-ai-os) — Self-hosted AI agent that builds and runs apps for you, with memory.

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