QwenPaw Docker & Self-Hosted Deployment

GitHub

Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

33,741 stars Python Python 1 file · ~25,680 tokens #agent#agent-harness#agentscope#ai-agent#ai-agents#chatbot#harness-engineering#llm-tools
RAW Compose
1. Pull Image (DOCKERHUB) docker pull agentscope/qwenpaw
2. Docker Run (1-Click Launch) docker run -d --name qwenpaw -p 8088:8088 --restart always agentscope/qwenpaw:latest
3. Podman Run podman run -d --name qwenpaw -p 8088:8088 --restart always agentscope/qwenpaw:latest
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/agentscope/qwenpaw:latest
5. ORAS Pull (OCI Artifact) oras pull agentscope/qwenpaw:latest
6. Compose Deployment docker compose up -d
docker-compose.yml
Download .yml 
version: '3.8'

volumes:
  qwenpaw-data:
    name: qwenpaw-data
  qwenpaw-secrets:
    name: qwenpaw-secrets
  qwenpaw-backups:
    name: qwenpaw-backups

services:
  qwenpaw:
    image: agentscope/qwenpaw:latest
    init: true
    container_name: qwenpaw
    restart: always
    ports:
      - "127.0.0.1:8088:8088"
    # environment:
    #   - QWENPAW_AUTH_ENABLED=true
    #   - QWENPAW_AUTH_USERNAME=admin
    #   - QWENPAW_AUTH_PASSWORD=yourpassword
    volumes:
      - qwenpaw-data:/app/working
      - qwenpaw-secrets:/app/working.secret
      - qwenpaw-backups:/app/working.backups