{
 "schema_version": 1,
 "generated": "2026-10-30",
 "id": "agentscope-ai-qwenpaw--deploy-qwenpaw-in-docker-with-persistent-volumes",
 "repo": "agentscope-ai/QwenPaw",
 "repo_url": "https://github.com/agentscope-ai/QwenPaw",
 "repo_slug": "agentscope-ai-qwenpaw",
 "title": "Deploy Qwen Paw in Docker with data, secrets and backups kept",
 "page_title": "How to deploy Qwen Paw in Docker with data, secrets and backups kept with Qwen Paw",
 "summary": "Run the official Docker image with separate volumes for data, secrets and backups.",
 "who": "A home server owner who wants the assistant always on and easy to upgrade.",
 "problem": "Running an assistant in a container loses memory and keys on every upgrade unless the volumes are set up right.",
 "outcome": "Qwen Paw's console on 127.0.0.1:8088 with config, memory and skills kept across restarts.",
 "steps": [
  "Run `docker pull agentscope/qwenpaw:latest`",
  "Start it with the README's docker run command, mapping 127.0.0.1:8088 and the qwenpaw-data, qwenpaw-secrets and qwenpaw-backups volumes",
  "Open http://127.0.0.1:8088/ for the console",
  "If your models run in Ollama on the host, use the README's host binding note because localhost inside the container is the container itself"
 ],
 "agent_prompt": "Deploy agentscope-ai/QwenPaw with Docker on <server> using the README's run command and the three named volumes, connect it to Ollama on the host, and confirm memory survives a container restart.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "",
 "category": "Personal productivity",
 "tags": [
  "Personal productivity"
 ],
 "lang": "typescript",
 "requirements": [
  "Python 3.11 or newer for the pip install, or Docker",
  "A model: QwenPaw Local with QwenPaw-Flash models, Ollama on the host, or a provider API key",
  "Accounts for any chat channels you want to connect (Discord, Telegram and others)"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/agentscope-ai-qwenpaw/deploy-qwenpaw-in-docker-with-persistent-volumes/",
 "md": "https://dedupedai.com/use-cases/agentscope-ai-qwenpaw/deploy-qwenpaw-in-docker-with-persistent-volumes/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/agentscope-ai-qwenpaw--deploy-qwenpaw-in-docker-with-persistent-volumes.json",
 "api_version": "v1"
}