How to use Qwen Paw: what you can do with it

3 use cases

• Run a private AI assistant with memory on your own machine

  Install Qwen Paw, initialise it with defaults and open the console so your data stays local.

  • REPO agentscope-ai/QwenPaw
  • Personal productivity
  • Beginner
  View prompt

  Install agentscope-ai/QwenPaw on this computer, run qwenpaw init --defaults and qwenpaw app, set it up with <local model or provider>, and confirm the console works before I connect any channels.

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• Deploy Qwen Paw in Docker with data, secrets and backups kept

  Run the official Docker image with separate volumes for data, secrets and backups.

  • REPO agentscope-ai/QwenPaw
  • Personal productivity
  • Intermediate
  View 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.

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• Schedule a daily news digest sent to Telegram or Discord

  Use Qwen Paw's scheduling and multi-channel features to push a recurring summary to your chat apps.

  • REPO agentscope-ai/QwenPaw
  • Personal productivity
  • Intermediate
  View prompt

  In agentscope-ai/QwenPaw, connect my <Telegram or Discord> channel and create a scheduled task that posts a short digest of <topics> every day at <time>. Show me the first draft before it goes out.

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What people are building with Qwen Paw

• Tutorialthe web

  Set up CoPaw, now QwenPaw, alongside his OpenClaw and nanobot instances and wrote the full self-hosting guide

  Written from running it next to other assistants, the guide covers installing via pip, script or Docker, cloud providers, local models through llama.cpp, MLX and Ollama, chat channels from Discord to Telegram, skills, the hybrid search memory and scheduled tasks.

  Qwen Paw on GitHub

  By Dragos (bitdoze.com) on the web·Mar 5, 2026

  View original post on the web

• Hands-onthe web

  Used QwenPaw as the chat entry point for a personal AI on an 8GB iMac and added a command plugin

  In a controlled experiment, QwenPaw 2.2.1 fronted a pipeline that routed between a local Qwen2.5 1.5B on Ollama and cloud OpenCode and Codex. A /poc_route command plugin worked in the QwenPaw Console; tool call and remote session failures later pushed the author toward Hermes.

  Qwen Paw on GitHub

  By Personal AI Lab (lab.jystudio.dev) on the web·Oct 22, 2026

  View original post on the web

Real builds shared on X, Hacker News, Reddit, DEV and GitHub, summed up by Deduped from each post and its links; each card links to the original post. See what people are building with other repos

Quick start with Qwen Paw

1. Check you have what it needs: 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).
2. Open agentscope-ai/QwenPaw on GitHub and read the README and license.
3. Install Qwen Paw with the installer script or pip (Python 3.11 or newer)
4. Open a new terminal and run qwenpaw init --defaults
5. Start the app with qwenpaw app and open the console
6. Pick a local QwenPaw-Flash model or add a provider key, then start chatting

These steps come from our top use case, Run a private AI assistant with memory on your own machine, which also has a copy-paste agent prompt.

Using the Deduped MCP, get the setup steps for agentscope-ai/QwenPaw

claude mcp add --transport http deduped https://dedupedai.com/mcp

Best AI repos for Personal productivity

About this repo

• Who it is forPeople who want one self-hosted assistant that remembers them, runs scheduled jobs and answers in the chat apps they already use.
• Why it is hot37k stars, talked about in 3 AI sources we track
• LanguageTypeScript
• Sourcegithub.com/agentscope-ai/QwenPaw · Back to Hot repos

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)

Related repos

• Trended earlier REPO QwenAudio/qwen-audio-agent Qwen Audio Agent qwen-audio-agent is a JavaScript realtime voice runtime that lets people talk with an AI Agent while the Agent runs tool calls and background tasks in the same conversation.
• Trended earlier REPO aaif-goose/goose Goose goose is a general-purpose, open-source AI agent that runs on your machine as a desktop app for macOS, Linux and Windows, a CLI and an API. It is built in Rust, works with 15+ providers including Anthropic, OpenAI, Google, Ollama and OpenRouter (or your existing Claude, ChatGPT or Gemini subscriptions via ACP), connects to 70+ extensions through the Model Context Protocol, and is part of the Agentic AI Foundation at the Linux Foundation.
• Trended earlier REPO openclaw/openclaw OpenClaw OpenClaw is an open-source personal AI assistant that runs on your own computer and answers you in the chat apps you already use, such as WhatsApp, Telegram, Slack, Discord, Signal and iMessage, plus native apps for desktop and phone. One Gateway process holds sessions, tools and channel connections; models and agent harnesses (Claude, Codex, local models) are swappable plugins. State, memory and credentials stay on your hardware, and there is no paid tier or hosted service.