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QwenPaw Logo

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 distilled knowledge. Older turns evict but stay recallable on demand; nothing is summarized away or lost. | | **Local or cloud, runs free** | QwenPaw-Flash models (2B / 4B / 9B) 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. | | **Coding Mode** | Three-panel Web IDE with file tree, diff preview, and chat. Jump-to-definition, find-references, and structural code search built in. | | **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; Coding Mode helps you quickly find and understand code. - **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 - [2026-07-10] **v2.0.0 — QwenPaw 2.0 Official Release** 🎉 | An AgentScope 2.0 based ground-up rewrite delivering the Agent OS architecture, Loop Engineering, Scroll Context, ReMe v0.4.0 Long-term Memory, and a bundled Terminal UI. | Highlight | What's new | |-----------|------------| | **Agent OS — Workspace** | Three pillars per agent: **Resources** (transparent on disk), **Governance** (allow/deny/ask/sandbox), **Sandbox** (macOS / Linux / Windows). | | **Agent OS — Drivers** | Protocol-neutral MCP / A2A / ACP connector layer with encrypted credentials and per-call policy gate. | | **Loop Engineering** | Advanced agent loop templates (Coding Mode, Mission Mode, more to come) with composable approval gates. | | **Scroll Context** | Every turn persisted; evicted turns indexed with on-demand recall — nothing summarized away. | | **ReMe v0.4.0 Long-term Memory** | Turn-based auto tracking, usage-aware search, and backend-specific embeddings. | | **Terminal UI (TUI)** | Full-screen terminal chat — same agent, memory, and sessions as Console and channels. | Built on Agent OS, we will be launching out-of-box QwenPaw applications — such as **QwenPaw Creator** and **QwenPaw Insight** — stay tuned. [v2.0.0 Release Notes →](https://qwenpaw.agentscope.io/release-notes#v2.0.0) - [2026-06-17] **v1.1.12 — Models Page Overhaul & Simple Mode** | Redesigned Models page with provider aggregation; new Simple Mode for streamlined navigation. [v1.1.12 Release Notes →](https://qwenpaw.agentscope.io/release-notes#v1.1.12) - [2026-06-11] **AgentScope Platform is live** — Free QwenPaw deployment, plugin sharing, and Skill marketplace. [Try it now →](https://platform.agentscope.io/) - [2026-06-10] **v1.1.11** — Free Model OAuth, Plugin Market, MCP Tool Whitelisting. [v1.1.11 Release Notes →](https://qwenpaw.agentscope.io/release-notes#v1.1.11) [All release notes →](https://qwenpaw.agentscope.io/release-notes) --- ## Table of Contents - [News](#news) - [Quick Start](#quick-start) - [API Key](#api-key) - [Local Models](#local-models) - [Security Features](#security-features) - [Documentation](#documentation) - [FAQ](#faq) - [Roadmap](#roadmap) - [Contributing](#contributing) - [Install From Source](#install-from-source) - [Why QwenPaw?](#why-qwenpaw) - [Built By](#built-by) - [License](#license) --- ## Quick Start ### Option 1: Pip Install If you prefer managing Python yourself (requires Python >= 3.11, < 3.14): ```bash 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](https://qwenpaw.agentscope.io/docs/channels) documentation. ![Console](https://img.alicdn.com/imgextra/i2/O1CN01EP1ra01iOAcBvF0TC_!!6000000004402-2-tps-3822-2070.png) --- ### 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:** ```bash curl -fsSL https://qwenpaw.agentscope.io/install.sh | bash ``` **Windows (CMD):** ```CMD curl -fsSL https://qwenpaw.agentscope.io/install.bat -o install.bat && install.bat ``` **Windows (PowerShell):** ```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: > 1. **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 click OK to save. > 2. **If using PowerShell (.ps1): Script execution interrupted** > > Due to **Constrained Language Mode**, the script may fail to automatically download `uv`. > - **Manually install uv**: Refer to the [GitHub Release](https://github.com/astral-sh/uv/releases) to download `uv.exe` and place it in `%USERPROFILE%\.local\bin` or `%USERPROFILE%\AppData\Local\uv`; or ensure Python is installed and run `python -m pip install -U uv`. > - **Configure `uv` environment variables**: Add the `uv` directory and `%USERPROFILE%\.qwenpaw\bin` to your system's `Path` variable. > - **Re-run the installation**: Open a new terminal and execute the installation script again to complete the `QwenPaw` installation. > - **Configure the `QwenPaw` environment variable**: Add `%USERPROFILE%\.qwenpaw\bin` to your system's `Path` variable. Once installed, open a new terminal and run: ```bash qwenpaw init --defaults # or: qwenpaw init (interactive) qwenpaw app ```
Install options **macOS / Linux:** ```bash # Install a specific version curl -fsSL ... | bash -s -- --version 1.1.0 # Install from source (dev/testing) curl -fsSL ... | bash -s -- --from-source # Upgrade — just re-run the installer curl -fsSL ... | bash # Uninstall qwenpaw uninstall # keeps config and data qwenpaw uninstall --purge # removes everything ``` **Windows (PowerShell):** ```powershell # Install a specific version irm ... | iex; .\install.ps1 -Version 1.1.12 # Install from source (dev/testing) .\install.ps1 -FromSource # Upgrade — just re-run the installer irm ... | iex # Uninstall qwenpaw uninstall # keeps config and data qwenpaw uninstall --purge # removes everything ```
--- ### Option 3: Docker Images are on **Docker Hub** (`agentscope/qwenpaw`). Image tags: `latest` (stable); `pre` (PyPI pre-release). ```bash docker pull agentscope/qwenpaw:latest docker run -p 127.0.0.1:8088:8088 \ -v qwenpaw-data:/app/working \ -v qwenpaw-secrets:/app/working.secret \ -v qwenpaw-backups:/app/working.backups \ agentscope/qwenpaw:latest ``` Also available on Alibaba Cloud Container Registry (ACR) for users in China: `agentscope-registry.ap-southeast-1.cr.aliyuncs.com/agentscope/qwenpaw` (same tags). Then open **http://127.0.0.1:8088/** for the Console. Config, memory, and skills are stored in the `qwenpaw-data` volume; model provider settings and API keys are in the `qwenpaw-secrets` volume; backup archives are stored in the `qwenpaw-backups` volume. To pass API keys (e.g. `DASHSCOPE_API_KEY`), add `-e VAR=value` or `--env-file .env` to `docker run`. > **Connecting to Ollama or other services on the host machine** > > Inside a Docker container, `localhost` refers to the container itself, not your host machine. If you run Ollama (or other model services) on the host and want QwenPaw in Docker to reach them, use one of these approaches: > > **Option A** — Explicit host binding (all platforms): > ```bash > docker run -p 127.0.0.1:8088:8088 \ > --add-host=host.docker.internal:host-gateway \ > -v qwenpaw-data:/app/working \ > -v qwenpaw-secrets:/app/working.secret \ > -v qwenpaw-backups:/app/working.backups \ > agentscope/qwenpaw:latest > ``` > Then in QwenPaw **Settings → Models**, change the Base URL to `http://host.docker.internal:` — for example, `http://host.docker.internal:11434` for Ollama, or `http://host.docker.internal:1234/v1` for LM Studio. > > **Option B** — Host networking (Linux only): > ```bash > docker run --network=host \ > -v qwenpaw-data:/app/working \ > -v qwenpaw-secrets:/app/working.secret \ > -v qwenpaw-backups:/app/working.backups \ > agentscope/qwenpaw:latest > ``` > No port mapping (`-p`) is needed; the container shares the host network directly. Note that all container ports are exposed on the host, which may cause conflicts if the port is already in use. > The image is built from scratch. To build the image yourself, please refer to the [Build Docker image](scripts/README.md#build-docker-image) section in `scripts/README.md`, and then push to your registry. --- ### Option 4: Deploy on Alibaba Cloud ECS To run QwenPaw on Alibaba Cloud (ECS), use the one-click deployment: open the [QwenPaw on Alibaba Cloud (ECS) deployment link](https://computenest.console.aliyun.com/service/instance/create/cn-hangzhou?type=user&ServiceId=service-1ed84201799f40879884) and follow the prompts. For step-by-step instructions, see [Alibaba Cloud Developer: Deploy your AI assistant in 3 minutes](https://developer.aliyun.com/article/1713682). --- ### Option 5: AgentScope Platform [AgentScope Platform](https://platform.agentscope.io/) provides one-click cloud QwenPaw deployment, plugin sharing, and a Skill marketplace. Free, 7/24 online. --- ### Option 6: Using ModelScope [ModelScope Studio](https://modelscope.cn/studios/fork?target=AgentScope/QwenPaw) also supports cloud QwenPaw deployment. Note: set your Studio to **non-public** so others cannot control your QwenPaw. --- ### Option 7: Desktop Application (Beta) > **Beta Notice**: The desktop application is currently in Beta testing phase with the following known limitations: > - **Incomplete compatibility testing**: Not fully tested across all system versions and hardware configurations > - **Potential performance issues**: Startup time, memory usage, and other performance aspects may need further optimization > - **Features under development**: Some features may be unstable or missing If you're not comfortable with command-line tools, you can download and use QwenPaw's desktop application without manually configuring Python environments or running commands. #### Download Download the desktop app (Tauri build) from [the official download page](https://qwenpaw.agentscope.io/downloads): - **Windows**: `QwenPaw-Tauri--Windows-setup.exe` - **macOS**: `QwenPaw-Tauri--macOS.zip` (Apple Silicon recommended) #### Features - ✅ **Zero configuration**: Download and double-click to run, no need to install Python or configure environment variables - ✅ **Cross-platform**: Supports Windows 10+ and macOS 14+ - ✅ **Visual interface**: Automatically opens the app window, no need to manually enter addresses - ⚠️ **Beta stage**: Features are continuously being improved, feedback welcome #### First Launch **Important**: The first launch may take 10-60 seconds (depending on your system configuration). The application needs to initialize the Python environment and load dependencies. Please wait patiently for the window to open automatically. #### macOS: Bypass System Security Restrictions When you download the QwenPaw macOS app from Releases, macOS may show: *"Apple cannot verify that 'QwenPaw' contains no malicious software"*. This happens because the app is not notarized. You can still open it as follows: - **Right-click to open (recommended)** Right-click (or Control+click) the QwenPaw app → **Open** → in the dialog click **Open** again. This tells Gatekeeper you trust the app; after that you can double-click to launch as usual. - **Allow in System Settings** If it is still blocked, go to **System Settings → Privacy & Security**, scroll to the message like *"QwenPaw was blocked because it is from an unidentified developer"*, and click **Open Anyway** or **Allow**. - **Remove quarantine attribute (not recommended for most users)** In Terminal run: `xattr -cr "/Applications/QwenPaw Desktop.app"` (or use the path to the `.app` after unzipping). This clears the "downloaded from the internet" quarantine flag so the warning usually does not appear, but is less safe and controllable than using **Right-click → Open**. For detailed usage instructions, troubleshooting, and common issues, see the [Desktop Application Guide](https://qwenpaw.agentscope.io/docs/desktop). --- ### What's Next? After installation, configure your model in **Console → Settings → Models**, then explore: - [Add Skills](https://qwenpaw.agentscope.io/docs/skills) to extend capabilities (PDF, Office, browser, news, etc.) - [Set up Channels](https://qwenpaw.agentscope.io/docs/channels) for DingTalk, Lark, Discord, and more - [Configure Cron](https://qwenpaw.agentscope.io/docs/cron) for scheduled tasks and automation - [Try Coding Mode](https://qwenpaw.agentscope.io/docs/coding-mode) for IDE-style code collaboration - See the full [Quick Start guide](https://qwenpaw.agentscope.io/docs/quickstart) for all options and verification steps --- ## Terminal UI (TUI) Prefer to stay in the terminal? Run `qwenpaw` to open a full-screen chat **TUI** that drives the _same_ agent as the Console and the IM Channels — same memory, skills, MCP tools, and sessions — without leaving your keyboard. ```bash qwenpaw # open a chat with the active agent qwenpaw tui --resume # resume a previous session qwenpaw . # start in the current repo (Coding Mode) ``` It supports streaming replies, slash commands (`/help`, `/resume`, `/theme`, plus the agent's own `/model`, `/clear`, …), pasting files/long text as attachments, and inline tool-permission prompts. See the [Terminal UI guide](https://qwenpaw.agentscope.io/docs/tui) for details. ![QwenPaw TUI](https://img.alicdn.com/imgextra/i2/O1CN01IULzib1TRAzigIcqG_!!6000000002378-2-tps-2350-1312.png) --- ## API Key If you use a **cloud LLM API** (e.g., DashScope / Qwen, OpenAI, Anthropic, Google Gemini, DeepSeek, Kimi, OpenRouter, and more), you must configure an API key before chatting. QwenPaw will not work until a valid key is set. See the [official docs](https://qwenpaw.agentscope.io/docs/models) for details. **How to configure:** 1. **Console (recommended)** — After running `qwenpaw app`, open **http://127.0.0.1:8088/** → **Settings** → **Models**. Choose a provider, enter the **API Key**, and enable that provider and model. 2. **`qwenpaw init`** — When you run `qwenpaw init`, it will guide you through configuring the LLM provider and API key. Follow the prompts to choose a provider and enter your key. 3. **Environment variable** — For DashScope you can set `DASHSCOPE_API_KEY` in your shell or in a `.env` file in the working directory. Tools that need extra keys (e.g. `TAVILY_API_KEY` for web search) can be set in Console **Settings → Environment variables**, see [Config](https://qwenpaw.agentscope.io/docs/config) for details. > **Using local models only?** If you use [Local Models](#local-models) (QwenPaw Local / Ollama / LM Studio), you do **not** need any API key. ## Local Models QwenPaw can run LLMs entirely on your machine — no API keys or cloud services required. See the [official docs](https://qwenpaw.agentscope.io/docs/models) for details. QwenPaw also provides the **QwenPaw-Flash** series — purpose-trained 2B / 4B / 9B models for agent scenarios, with Q4 and Q8 quantizations. Available on [ModelScope](https://www.modelscope.cn/organization/AgentScope?tab=model) and [Hugging Face](https://huggingface.co/agentscope-ai/models). | Backend | Best for | Install | | -------------------- | ---------------------------------------- | -------------------------------------------------------------------- | | **QwenPaw Local** (llama.cpp) | Cross-platform (macOS / Linux / Windows) | Built-in; click "Download" in the web UI. Supports QwenPaw-Flash with hardware-aware recommendations. | | **Ollama** | Cross-platform (requires Ollama service) | Install and start Ollama; set context length ≥ 32k. | | **LM Studio** | Cross-platform (requires LM Studio) | Install and start LM Studio; enable Local Server. | --- ## Security Features QwenPaw includes four core security layers: - **Sandbox** — Kernel-level execution isolation using Seatbelt (macOS), Bubblewrap / Landlock (Linux), and AppContainer (Windows). Shell commands run inside a restricted filesystem view. - **Tool Guard** — YAML rule engine with `ShellEvasionGuardian` inspects every tool call before execution, detecting command injection, path traversal, reverse shells, and obfuscated attacks. Configurable approval levels: STRICT / SMART / AUTO / OFF. - **File Guard** — Independent of Tool Guard; blocks agent access to sensitive files and directories (default-protects `~/.qwenpaw.secret/`, `~/.ssh`, etc.). - **Skill Scanner** — Pre-activation scanning with block / warn / off modes and whitelist support. Detects prompt injection, hardcoded secrets, data exfiltration, and more. See [Security](https://qwenpaw.agentscope.io/docs/security) for details. --- ## Documentation | Topic | Description | | --------------------------------------------------------------------- | ------------------------------------------------ | | [Introduction](https://qwenpaw.agentscope.io/docs/intro) | What QwenPaw is and how to use it | | [Quick start](https://qwenpaw.agentscope.io/docs/quickstart) | Install and run (local or ModelScope Studio) | | [Console](https://qwenpaw.agentscope.io/docs/console) | Web UI: chat and agent configuration | | [Terminal UI (TUI)](https://qwenpaw.agentscope.io/docs/tui) | Full-screen terminal chat, same agent as Console | | [Desktop App](https://qwenpaw.agentscope.io/docs/desktop) | Desktop application installation and usage | | [Models](https://qwenpaw.agentscope.io/docs/models) | Configure cloud, local, and custom providers | | [Channels](https://qwenpaw.agentscope.io/docs/channels) | DingTalk, Lark, QQ, Discord, iMessage, and more | | [Coding Mode](https://qwenpaw.agentscope.io/docs/coding-mode) | Three-panel Web IDE for code-centric tasks | | [Skills](https://qwenpaw.agentscope.io/docs/skills) | Extend and customize capabilities | | [Plugins](https://qwenpaw.agentscope.io/docs/plugins) | Plugin system and Plugin Market | | [MCP](https://qwenpaw.agentscope.io/docs/mcp) | Manage MCP clients | | [Persona](https://qwenpaw.agentscope.io/docs/persona) | Agent personality customization (SOUL / PROFILE) | | [Memory](https://qwenpaw.agentscope.io/docs/memory) | Long-term semantic memory (ReMe) | | [Memory-Evolving & Proactive](https://qwenpaw.agentscope.io/docs/memory-evolving-and-proactive) | Agent memory evolution and proactive interaction | | [Context](https://qwenpaw.agentscope.io/docs/context) | Scroll-based context management | | [Magic commands](https://qwenpaw.agentscope.io/docs/commands) | Control conversation state without waiting for the AI | | [Heartbeat](https://qwenpaw.agentscope.io/docs/heartbeat) | Scheduled check-in and digest | | [Cron / Scheduled Tasks](https://qwenpaw.agentscope.io/docs/cron) | Scheduled tasks and automation | | [Multi-Agent](https://qwenpaw.agentscope.io/docs/multi-agent) | Create multiple agents and enable collaboration | | [Security](https://qwenpaw.agentscope.io/docs/security) | Sandbox, tool guard, file guard, skill scanner, access policy | | [Backup & Restore](https://qwenpaw.agentscope.io/docs/backup) | Data backup and recovery | | [Config & working dir](https://qwenpaw.agentscope.io/docs/config) | Working directory and config file | | [REST API](https://qwenpaw.agentscope.io/docs/api-tutorial) | HTTP API for integration and automation | | [ACP Integration](https://qwenpaw.agentscope.io/docs/acp-integration) | Agent Communication Protocol integration | | [CLI](https://qwenpaw.agentscope.io/docs/cli) | Init, cron jobs, skills, clean | | [Agent Team Practice](https://qwenpaw.agentscope.io/docs/practice-agent-team) | Multi-agent team deployment guide | | [FAQ](https://qwenpaw.agentscope.io/docs/faq) | Common questions and troubleshooting | Full documentation: [qwenpaw.agentscope.io/docs](https://qwenpaw.agentscope.io/docs) --- ## FAQ For common questions, troubleshooting tips, and known issues, please visit the **[FAQ page](https://qwenpaw.agentscope.io/docs/faq)**. --- ## Roadmap | Area | Item | Status | | ------------------------ | -------------------------------------------------------------------------------------------- | -------------------- | | **Horizontal Expansion** | More channels, models, skills, MCPs — **community contributions welcome** | Seeking Contributors | | **Existing Feature Extension** | Display optimization, download hints, Windows path compatibility, etc. — **community contributions welcome** | Seeking Contributors | | **Models** | Multi-model switching | In Progress | | **Browser-use** | Support Chrome extension | In Progress | | **Long-term Memory** | Personal knowledge base | In Progress | | **QwenPaw Application** | QwenPaw Creator | In Progress | | | QwenPaw Insight | In Progress | | **Multi-agent** | Compatibility with existing agents (e.g. Claude Code) | Planned | | | Group chat | Planned | | | Subagent visualization | Planned | _Status:_ **In Progress** — actively being worked on; **Planned** — queued or under design, also welcome contributions; **Seeking Contributors** — we strongly encourage community contributions. --- ## Contributing QwenPaw evolves through open collaboration, and we welcome all forms of contribution! Check the [Roadmap](#roadmap) above (especially items marked **Seeking Contributors**) to find areas that interest you, and read [CONTRIBUTING](https://github.com/agentscope-ai/QwenPaw/blob/main/CONTRIBUTING.md) to get started. We particularly welcome: - **Horizontal expansion** — new channels, model providers, skills, MCPs. - **Existing feature extension & refinement** — display and interaction improvements, download hints, Windows path compatibility, etc. Join [GitHub Discussions](https://github.com/agentscope-ai/QwenPaw/discussions) to discuss ideas or pick up tasks. --- ## Install From Source ```bash git clone https://github.com/agentscope-ai/QwenPaw.git cd QwenPaw # Build console frontend first (required for web UI) cd console && npm ci && npm run build cd .. # Copy console build output to package directory mkdir -p src/qwenpaw/console cp -R console/dist/. src/qwenpaw/console/ # Install Python package pip install -e . ``` - **Dev** (tests, formatting): `pip install -e ".[dev,full]"` - **Then**: Run `qwenpaw init --defaults`, then `qwenpaw app`. > **Note for updates:** When updating to a new major version after `git pull`, please also rebuild the frontend, reinstall the package (`pip install -e .`), restart `qwenpaw app`, and clear your browser cache with `Ctrl+Shift+R` (or `Cmd+Shift+R` on macOS). --- ## Why QwenPaw? QwenPaw stands for Qwen Personal Agent Workstation, and also embodies the wisdom of Qwen and the warmth of a Paw. We hope it is not a cold tool, but an intelligent and warm "little paw" always ready to help—a most intuitive partner in your digital life. --- ## Built By [AgentScope team](https://github.com/agentscope-ai) · [AgentScope](https://github.com/agentscope-ai/agentscope) · [AgentScope Runtime](https://github.com/agentscope-ai/agentscope-runtime) · [ReMe](https://github.com/agentscope-ai/ReMe) --- ## Contact Us | [Discord](https://discord.gg/eYMpfnkG8h) | [X (Twitter)](https://x.com/agentscope_ai) | [DingTalk](https://qr.dingtalk.com/action/joingroup?code=v1,k1,OmDlBXpjW+I2vWjKDsjvI9dhcXjGZi3bQiojOq3dlDw=&_dt_no_comment=1&origin=11) | [RedNote](https://www.xiaohongshu.com/user/profile/691c18db0000000037032be9) | | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | | [Discord](https://discord.gg/eYMpfnkG8h) | [X](https://x.com/agentscope_ai) | [DingTalk](https://qr.dingtalk.com/action/joingroup?code=v1,k1,OmDlBXpjW+I2vWjKDsjvI9dhcXjGZi3bQiojOq3dlDw=&_dt_no_comment=1&origin=11) | [RedNote](https://www.xiaohongshu.com/user/profile/691c18db0000000037032be9) | --- ## Staying Ahead Star QwenPaw Star QwenPaw on GitHub and be instantly notified of new releases. --- ## Telemetry QwenPaw collects **anonymous** usage data during `qwenpaw init` to help us understand our user base and prioritize improvements. Data is sent **once per version** — when you upgrade QwenPaw, telemetry is re-collected so we can track version adoption. **What we collect:** - QwenPaw version (e.g., 1.1.12) - Install method (pip, Docker, or desktop app) - OS and version (e.g., macOS 14.0, Ubuntu 22.04) - Python version (e.g., 3.13) - CPU architecture (e.g., x86_64, arm64) - GPU availability (yes/no) **What we do NOT collect:** No personal data, no files, no credentials, no IP addresses, no identifiable information. When running `qwenpaw init` interactively, you will be asked whether to opt in. If you choose `--defaults`, telemetry is accepted automatically. The prompt appears once per version and never affects QwenPaw's functionality. --- ## License QwenPaw is released under the [Apache License 2.0](LICENSE). --- ## Contributors All thanks to our contributors: Contributors