QwenPaw：可扩展的多渠道个人助手

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

QwenPaw [Documentation] [中文] [日本語] [Русский] Works for you, grows with you. Your personal AI assistant — deploy locally or in the cloud, extend with Skills & Plugins, connect across every channel. Never forgets Three-layer memory — live working context, full verbatim history, and a self-evolving personal knowledge base powered by ReMe. Conversations and resources continuously become readable, editable, searchable, and linked Markdown memory. Local or cloud, runs free QwenPaw-Flash models (2B / 4B / 9B / 35B-A3B / 27B) trained for agent tasks. Built-in QwenPaw Local runtime — no API key, no cloud dependency. Also works with Ollama, LM Studio, or 14+ cloud providers. Security built in Kernel-level Sandbox, Tool Guard, File Guard, Skill Scanner, and Access Policy. Dangerous commands are blocked before they run. Multi-agent & parallel Spawn independent agents with their own memory and skills. Sub-agents at runtime. Agent Communication Protocol (ACP) for cross-system orchestration. File workspace Unified file navigation, preview, editing, diffs, upload, and download across project and Agent files. Extensible Skills for scheduling, documents, browser, news, and more. Plugin architecture with a marketplace. MCP integration for external tools. Combine them into purpose-built workflows. Reachable anywhere DingTalk, Lark, WeChat, Discord, Telegram, iMessage, QQ — one instance, all channels. Console, TUI, and desktop app for direct access. Yours, not ours Deploy locally — data stays on your machine. No third-party hosting, no data upload. What you can do with QwenPaw Automation & scheduling: Set up recurring tasks — news digests, report generation, multi-channel broadcasting — all on your schedule. Code & development: Read, edit, review, and test code in your projects with the unified file workspace. Document processing: Read, write, and convert PDF, Word, Excel, and PowerPoint files. Information gathering: Search the web, follow subscriptions, summarize videos, and find what you need in your personal knowledge base. Multi-channel ops: Push alerts, summaries, or AI-generated content to DingTalk, Lark, Discord, Telegram, and more — simultaneously or per channel. Custom workflows: Combine built-in capabilities, plugins, and scheduled tasks into workflows tailored to your needs. News [2026-10-15] v2.2.2 | Console updates, new QwenPaw-Flash models covering 9B/27B/35B-A3B, PawPort for importing Codex/Qoder data, Creator 2.0.1, and Data 0.3.0. v2.2.2 Release Notes → [2026-09-10] v2.2.1 | Creator 1.2 blueprint workbench, per-Agent model routing, and unified environment management. v2.2.1 Release Notes → [2026-09-03] v2.2.0 | Self-hosted multi-user QwenPaw Hub, QwenPaw Mail, native QwenPaw Data, unified model routing, Creator 1.1, a unified marketplace, and major Console, Skills, channel, and reliability improvements. v2.2.0 Release Notes → [2026-08-13] v2.1.0 | QwenPaw OS Shell, unified Files workspace, QwenPaw Creator, Codex/Qoder Agent integration, Browser-use, Computer-use, workspace checkpoints, and long-running conversation continuity. v2.1.0 Release Notes → [2026-07-24] v2.0.1 | PawApp mini-app platform, user-editable Agent Modes, Oh-My-Paw plugins, ReMe memory enhancements, desktop UX improvements, and more. v2.0.1 Release Notes → All release notes → Table of Contents News Quick Start API Key Local Models Security Features Documentation FAQ Roadmap Contributing Install From Source Why QwenPaw? Built By License Quick Start Option 1: Pip Install If you prefer managing Python yourself (requires Python >= 3.11, < 3.14): pip install qwenpaw qwenpaw init --defaults qwenpaw app Then open the Console in your browser at http://127.0.0.1:8088/ to configure your model. To chat in DingTalk, Lark, WeChat, etc., see the Channel setup documentation. Option 2: Script Install No Python setup required, one command installs everything. The script will automatically download uv (Python package manager), create a virtual environment, and install QwenPaw with all dependencies (including Node.js and frontend assets). Note: May not work in restricted network environments or corporate firewalls. macOS / Linux: curl -fsSL https://qwenpaw.agentscope.io/install.sh | bash Windows (CMD): curl -fsSL https://qwenpaw.agentscope.io/install.bat -o install.bat && install.bat Windows (PowerShell): irm https://qwenpaw.agentscope.io/install.ps1 | iex Note: The installer will automatically check the status of uv. If it is not installed, it will attempt to download and configure it automatically. If the automatic installation fails, please follow the on-screen prompts or execute python -m pip install -U uv, then rerun the installer. ⚠️ Special Notice for Windows Enterprise LTSC Users If you are using Windows LTSC or an enterprise environment governed by strict security policies, PowerShell may run in Constrained Language Mode, potentially causing the following issue: If using CMD (.bat): Script executes successfully but fails to write to Path The script completes file installation. Due to Constrained Language Mode, it cannot automatically update environment variables. Manually configure as follows: Locate the installation directory: Check if uv is available: Enter uv --version in CMD. If a version number appears, only configure the QwenPaw path. If you receive the prompt 'uv' is not recognized as an internal or external command, operable program or batch file, configure both paths. uv path (choose one based on installation location; use if uv fails): Typically %USERPROFILE%\.local\bin, %USERPROFILE%\AppData\Local\uv, or the Scripts folder within your Python installation directory QwenPaw path: Typically located at %USERPROFILE%\.qwenpaw\bin. Manually add to the system's Path environment variable: Press Win + R, type sysdm.cpl and press Enter to open System Properties. Click “Advanced” -> “Environment Variables”. Under “System variables”, locate and select Path, then click “Edit”. Click “New”, enter both directory paths sequentially, then