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How to run a private AI assistant with memory on your own machine with Qwen Paw

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

Short answer: Install Qwen Paw with the installer script or pip (Python 3.11 or newer); then open a new terminal and run qwenpaw init --defaults; start the app with qwenpaw app and open the console. All steps.

Who it is forSomeone who wants a personal assistant that remembers context but does not want their history on a third party server.

The problemHosted assistants keep your conversations on their servers and forget context between sessions.

The outcomeA local Qwen Paw console with working memory, history and a personal knowledge base on your machine.

What you need first

  • 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)

Steps

  1. Install Qwen Paw with the installer script or pip (Python 3.11 or newer)
  2. Open a new terminal and run qwenpaw init --defaults
  3. Start the app with qwenpaw app and open the console
  4. Pick a local QwenPaw-Flash model or add a provider key, then start chatting
  5. To remove it later, qwenpaw uninstall keeps config and data

Prompt for your agent

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.

Caveat.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for agentscope-ai/QwenPaw and "Run a private AI assistant with memory on your own machine"

Add Deduped to Claude Code once

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

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