<div align="center">

# CoPaw

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[![DingTalk](https://img.shields.io/badge/DingTalk-Join_Us-orange.svg)](https://qr.dingtalk.com/action/joingroup?code=v1,k1,OmDlBXpjW+I2vWjKDsjvI9dhcXjGZi3bQiojOq3dlDw=&_dt_no_comment=1&origin=11)

[[Documentation](https://copaw.agentscope.io/)] [[中文](README_zh.md)] [[日本語](README_ja.md)] [[Русский](README_ru.md)]

<p align="center">
  <img src="https://img.alicdn.com/imgextra/i2/O1CN014TIqyO1U5wDiSbFfA_!!6000000002467-2-tps-816-192.png" alt="CoPaw Logo" width="120">
</p>

<p align="center"><b>Works for you, grows with you.</b></p>

</div>

Your personal AI assistant — easy to install, deploy locally or in the cloud, connect across channels, extend with ease.

> **Core capabilities:**
>
> **Under your control** — Memory and personalization fully under your control. Deploy locally (data stays on your machine) or in the cloud (your chosen server). No third-party hosting, no data upload.
>
> **Skills extension** — Built-in scheduling, PDF/Office processing, news digest, and more; custom skills auto-loaded, no lock-in. Skills determine what CoPaw can do.
>
> **Multi-agent collaboration** — Create multiple independent agents, each with their own role; enable collaboration skills for inter-agent communication to tackle complex tasks together.
>
> **Multi-layer security** — Tool guard, file access control, skill security scanning to ensure safe operation.
>
> **Every channel** — DingTalk, Feishu, WeChat, Discord, Telegram, and more. One CoPaw, connect as needed.
>
> <details>
> <summary><b>What you can do with CoPaw</b></summary>
>
> <br>
>
> - **Social media**: Daily hot post digests (Xiaohongshu, Zhihu, Reddit), Bilibili/YouTube video summaries.
> - **Productivity**: Email & newsletter highlights pushed to DingTalk/Feishu/QQ; email & calendar contact organization.
> - **Creative & building**: Describe your goal before sleep, auto-execute, wake up to a prototype; full workflow from topic selection to final video.
> - **Research & learning**: Track tech & AI news, personal knowledge base search and reuse.
> - **Desktop & files**: Organize and search local files, read & summarize documents, request files in chat.
> - **Explore more**: Combine Skills with scheduled tasks into your own agentic app.
>
> </details>

---

## News

[2026-03-24] We released v0.2.0! See the [v0.2.0 Release Notes](https://agentscope-ai.github.io/CoPaw/release-notes) for the full changelog.

- **[v0.2.0] Added:** Inter-agent communication; built-in QA agent; LLM auto-retry settings; file access guard for sensitive paths; audio, video & speech input in console chat; stream reconnection on page refresh; model provider search; multimodal capability probing with UI tags; enhanced grep & glob search; config auto-repair; summarization improvements.
- **[v0.2.0] Changed:** Stable prompts for better KV cache hit rates; faster CLI startup; QQ channel refactor; smart text chunking for QQ & WeCom; QQ WebSocket reconnect config; dark mode polish across console UI.
- **[v0.2.0] Fixed:** Shell command hang on Windows; Windows file path handling; macOS desktop build; channel message processing lock leak; agent list crash and refresh; console reconnect overflow; cron job cancellation.
- **[v0.2.0] Contributors:** Thanks to new contributors: [@ixiadao](https://github.com/ixiadao), [@leoleils](https://github.com/leoleils), [@ltzu929](https://github.com/ltzu929), [@emoubarak](https://github.com/emoubarak), [@f3125472](https://github.com/f3125472), [@shiweijiezero](https://github.com/shiweijiezero), [@Yaohua-Leo](https://github.com/Yaohua-Leo), [@finenter-molei](https://github.com/finenter-molei), [@lizeruicq](https://github.com/lizeruicq), [@hbsjmsjwj](https://github.com/hbsjmsjwj), [@aquamarine-bot](https://github.com/aquamarine-bot), [@sanfran1068](https://github.com/sanfran1068), [@x1n95c](https://github.com/x1n95c), [@saschabuehrle](https://github.com/saschabuehrle).

[2026-03-18] We released v0.1.0! See the [v0.1.0 Release Notes](https://agentscope-ai.github.io/CoPaw/release-notes) for the full changelog.

[2026-03-12] We released v0.0.7! See the [v0.0.7 Release Notes](https://agentscope-ai.github.io/CoPaw/release-notes) for the full changelog.

[2026-03-09] We released v0.0.6! See the [v0.0.6 Release Notes](https://agentscope-ai.github.io/CoPaw/release-notes) for the full changelog.

[2026-03-06] We released v0.0.5! See the [v0.0.5 Release Notes](https://agentscope-ai.github.io/CoPaw/release-notes) for the full changelog.

[2026-03-02] We released v0.0.4! See the [v0.0.4 Release Notes](https://agentscope-ai.github.io/CoPaw/release-notes) for the full changelog.

---

## Table of Contents

> **Recommended reading:**
>
> - **🚀 I'm new and want to try quickly**: [Quick Start](#quick-start) → three commands to run → [Configure model](#api-key) → chat in Console
> - **💬 I want to use in DingTalk/Feishu/WeChat**: Complete Quick Start → [Configure model](#api-key) → [Channel setup](https://copaw.agentscope.io/docs/channels)
> - **🐍 I don't want to install Python**: [Desktop app](#desktop-application-beta) or [Script install](#script-install) or [ModelScope Studio](https://modelscope.cn/studios/fork?target=AgentScope/CoPaw)
> - **💻 I want to use local models (no API key needed)**: [Local Models](#local-models) → download model → start using
> - **🛠️ I want to contribute code or develop new features**: [Install from source](#install-from-source) → [Contributing](#contributing)
- [News](#news)
- [Quick Start](#quick-start)
- [API Key](#api-key)
- [Local Models](#local-models)
- [Documentation](#documentation)
- [Security Features](#security-features)
- [FAQ](#faq)
- [Staying ahead](#staying-ahead)
- [Roadmap](#roadmap)
- [Install from source](#install-from-source)
- [Contributing](#contributing)
- [Why CoPaw?](#why-copaw)
- [Built by](#built-by)
- [License](#license)

---

## Quick Start

### 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 CoPaw 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://copaw.agentscope.io/install.sh | bash
```

To install with Ollama support:

```bash
curl -fsSL https://copaw.agentscope.io/install.sh | bash -s -- --extras ollama
```

To install with multiple extras (e.g., Ollama + llama.cpp):

```bash
curl -fsSL https://copaw.agentscope.io/install.sh | bash -s -- --extras ollama,llamacpp
```

**Windows (CMD):**

```CMD
curl -fsSL https://copaw.agentscope.io/install.bat -o install.bat && install.bat
```

**Windows (PowerShell):**

```powershell
irm https://copaw.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 CoPaw 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
>      - CoPaw path: Typically located at `%USERPROFILE%\.copaw\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%\.copaw\bin` to your system's `Path` variable.
>   - **Re-run the installation**: Open a new terminal and execute the installation script again to complete the `CoPaw` installation.
>   - **Configure the `CoPaw` environment variable**: Add `%USERPROFILE%\.copaw\bin` to your system's `Path` variable.

Once installed, open a new terminal and run:

```bash
copaw init --defaults   # or: copaw init (interactive)
copaw app
```

<details>
<summary><b>Install options</b></summary>

**macOS / Linux:**

```bash
# Install a specific version
curl -fsSL ... | bash -s -- --version 0.0.2

# Install from source (dev/testing)
curl -fsSL ... | bash -s -- --from-source

# Upgrade — just re-run the installer
curl -fsSL ... | bash

# Uninstall
copaw uninstall          # keeps config and data
copaw uninstall --purge  # removes everything
```

**Windows (PowerShell):**

```powershell
# Install a specific version
irm ... | iex; .\install.ps1 -Version 0.0.2

# Install from source (dev/testing)
.\install.ps1 -FromSource

# Upgrade — just re-run the installer
irm ... | iex

# Uninstall
copaw uninstall          # keeps config and data
copaw uninstall --purge  # removes everything
```

</details>


---

### pip install

If you prefer managing Python yourself:

```bash
pip install copaw
copaw init --defaults
copaw app
```

Then open the Console in your browser at **http://127.0.0.1:8088/** to configure your model. To chat in DingTalk, Feishu, WeChat, etc., see the [Channel setup](https://copaw.agentscope.io/docs/channels) documentation.

![Console](https://img.alicdn.com/imgextra/i3/O1CN01N6TeJ41Y2y7O4gppz_!!6000000003002-2-tps-3328-1860.png)

---

### 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 CoPaw's desktop application without manually configuring Python environments or running commands.

#### Download

Download the desktop app from [GitHub Releases](https://github.com/agentscope-ai/CoPaw/releases):
- **Windows**: `CoPaw-Setup-<version>.exe`
- **macOS**: `CoPaw-<version>-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 browser interface, 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 browser window to open automatically.

#### macOS: Bypass System Security Restrictions

When you download the CoPaw macOS app from Releases, macOS may show: *"Apple cannot verify that 'CoPaw' 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 CoPaw 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 *"CoPaw 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/CoPaw.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://copaw.agentscope.io/docs/desktop).

### Using ModelScope

**No local install?** [ModelScope Studio](https://modelscope.cn/studios/fork?target=AgentScope/CoPaw) one-click cloud setup. Set your Studio to **non-public** so others cannot control your CoPaw.


---

### Using Docker

Images are on **Docker Hub** (`agentscope/copaw`). Image tags: `latest` (stable); `pre` (PyPI pre-release).

```bash
docker pull agentscope/copaw:latest
docker run -p 127.0.0.1:8088:8088 \
  -v copaw-data:/app/working \
  -v copaw-secrets:/app/working.secret \
  agentscope/copaw:latest
```

Also available on Alibaba Cloud Container Registry (ACR) for users in China: `agentscope-registry.ap-southeast-1.cr.aliyuncs.com/agentscope/copaw` (same tags).

Then open **http://127.0.0.1:8088/** for the Console. Config, memory, and skills are stored in the `copaw-data` volume; model provider settings and API keys are in the `copaw-secrets` 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 CoPaw 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 copaw-data:/app/working \
>   -v copaw-secrets:/app/working.secret \
>   agentscope/copaw:latest
> ```
> Then in CoPaw **Settings → Models**, change the Base URL to `http://host.docker.internal:<port>` — 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 copaw-data:/app/working \
>   -v copaw-secrets:/app/working.secret \
>   agentscope/copaw: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.
>
> **Note:** If you only mount `/app/working` without a separate volume for `/app/working.secret`, the entrypoint will automatically redirect secrets into `/app/working/.secret` so they persist on the same volume.

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.


---

### Deploy on Alibaba Cloud ECS

To run CoPaw on Alibaba Cloud (ECS), use the one-click deployment: open the [CoPaw 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).

---

## API Key

If you use a **cloud LLM API** (e.g., Qianwen, Gemini, OpenAI), you must configure an API key before chatting. CoPaw will not work until a valid key is set. See the [official docs](https://copaw.agentscope.io/docs/models#configure-cloud-providers) for details.

**How to configure:**

1. **Console (recommended)** — After running `copaw app`, open **http://127.0.0.1:8088/** → **Settings** → **Models**. Choose a provider, enter the **API Key**, and enable that provider and model.
2. **`copaw init`** — When you run `copaw 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://copaw.agentscope.io/docs/config) for details.

> **Using local models only?** If you use [Local Models](#local-models) (llama.cpp or MLX), you do **not** need any API key.

## Local Models

CoPaw can run LLMs entirely on your machine — no API keys or cloud services required. See the [official docs](https://copaw.agentscope.io/docs/models#local-providers-llamacpp--mlx) for details.

| Backend       | Best for                                 | Install                                                              |
| ------------- | ---------------------------------------- | -------------------------------------------------------------------- |
| **llama.cpp** | Cross-platform (macOS / Linux / Windows) | `pip install 'copaw[llamacpp]'` or `bash install.sh --extras llamacpp` |
| **MLX**       | Apple Silicon Macs (M1/M2/M3/M4)         | `pip install 'copaw[mlx]'` or `bash install.sh --extras mlx`         |
| **Ollama**    | Cross-platform (requires Ollama service) | `pip install 'copaw[ollama]'` or `bash install.sh --extras ollama`   |

After installing, you can download and manage local models in the **Console** UI. You can also use the command line:

```bash
copaw models download Qwen/Qwen3-4B-GGUF
copaw models # select the downloaded model
copaw app # start the server
```

---

## Documentation

| Topic                                                                 | Description                                      |
| --------------------------------------------------------------------- | ------------------------------------------------ |
| [Introduction](https://copaw.agentscope.io/docs/intro)                | What CoPaw is and how to use it                  |
| [Quick start](https://copaw.agentscope.io/docs/quickstart)            | Install and run (local or ModelScope Studio)    |
| [Console](https://copaw.agentscope.io/docs/console)                   | Web UI: chat and agent configuration            |
| [Models](https://copaw.agentscope.io/docs/models)                     | Configure cloud, local, and custom providers    |
| [Channels](https://copaw.agentscope.io/docs/channels)                  | DingTalk, Feishu, QQ, Discord, iMessage, and more |
| [Skills](https://copaw.agentscope.io/docs/skills)                      | Extend and customize capabilities               |
| [MCP](https://copaw.agentscope.io/docs/mcp)                            | Manage MCP clients                               |
| [Memory](https://copaw.agentscope.io/docs/memory)                     | Long-term memory                     |
| [Context](https://copaw.agentscope.io/docs/context)                   | Context management mechanism                     |
| [Magic commands](https://copaw.agentscope.io/docs/commands)           | Control conversation state without waiting for the AI |
| [Heartbeat](https://copaw.agentscope.io/docs/heartbeat)                | Scheduled check-in and digest                    |
| [Multi-Agent](https://copaw.agentscope.io/docs/multi-agent)           | Create multiple agents and enable collaboration  |
| [Config & working dir](https://copaw.agentscope.io/docs/config) | Working directory and config file                |
| [CLI](https://copaw.agentscope.io/docs/cli)                            | Init, cron jobs, skills, clean                   |
| [FAQ](https://copaw.agentscope.io/docs/faq)                           | Common questions and troubleshooting             |

Full docs in this repo: [website/public/docs/](website/public/docs/).

---

## Security Features

CoPaw includes multi-layer security mechanisms to protect your data and system:

- **Tool guard** — Automatically intercepts dangerous shell commands (e.g., `rm -rf /`, fork bombs, reverse shells, etc.)
- **File access guard** — Restricts agent access to sensitive paths (e.g., `~/.ssh`, key files, system directories, etc.)
- **Skill security scanning** — Automatically scans before installing skills, detecting risks like prompt injection, command injection, hardcoded keys, data exfiltration, etc.
- **Local deployment** — All data and memory stored locally, no third-party upload (when using cloud LLM APIs, conversation content is sent to the corresponding API provider)

See [Security documentation](https://copaw.agentscope.io/docs/security) for details.

---

## FAQ

For common questions, troubleshooting tips, and known issues, please visit the **[FAQ page](https://copaw.agentscope.io/docs/faq)**.

---

## Staying ahead

<a href="https://github.com/agentscope-ai/CoPaw">
  <img src="https://img.alicdn.com/imgextra/i1/O1CN0197AtT32351zYCnOUU_!!6000000007203-1-tps-2214-1080.gif" width="600" alt="Star CoPaw" />
</a>

Star CoPaw on GitHub and be instantly notified of new releases.

---

## 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 |
| **Console Web UI**                    | Expose more info/config in the Console                                                                                                           | In Progress          |
| **Self-healing**                      | DaemonAgent: autonomous diagnostics, self-healing, and recovery                                                                                  | In Progress          |
| **Multi-agent**                       | Background task support                                                                                                                          | In Progress          |
|                                       | Async tasks                                                                                                                                      | Planned              |
|                                       | Inter-agent contention resolution                                                                                                                | Planned              |
| **Multimodal**                        | Voice/video calls and real-time interaction                                                                                                      | In Progress          |
| **Small + Large Model Collaboration** | Train/fine-tune local small LLMs for CoPaw workflows                                                                                               | In Progress          |
|                                       | Multi-model routing; different models for different tasks                                                                                          | In Progress          |
| **Memory System**                     | Experience distillation & skill extraction                                                                                                       | In Progress          |
|                                       | Memory mechanism switching                                                                                                                       | Planned              |
|                                       | Multimodal memory fusion                                                                                                                         | Planned              |
|                                       | Context-aware proactive delivery                                                                                                                 | Planned              |
| **Sandbox**                           | Deeper integration with AgentScope Runtime sandboxes                                                                                             | In Progress          |
| **Cloud-native**                      | Deeper integration with AgentScope Runtime; leverage cloud compute, storage, and tooling                                                         | Planned              |
| **Skills Hub**                        | Enrich the [AgentScope Skills](https://github.com/agentscope-ai/agentscope-skills) repository and improve discoverability of high-quality skills | Planned              |


_Status:_ **In Progress** — actively being worked on; **Planned** — queued or under design, also welcome contributions; **Seeking Contributors** — we strongly encourage community contributions.

## Install from source

```bash
git clone https://github.com/agentscope-ai/CoPaw.git
cd CoPaw

# 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/copaw/console
cp -R console/dist/. src/copaw/console/

# Install Python package
pip install -e .
```

- **Dev** (tests, formatting): `pip install -e ".[dev,full]"`
- **Then**: Run `copaw init --defaults`, then `copaw 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 `copaw app`, and clear your browser cache with `Ctrl+Shift+R` (or `Cmd+Shift+R` on macOS).

---

## Contributing

CoPaw 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/CoPaw/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/CoPaw/discussions) to discuss ideas or pick up tasks.

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## Why CoPaw?

CoPaw represents both a **Co Personal Agent Workstation** and a "co-paw"—a partner always by your side. More than just a cold tool, CoPaw is a warm "little paw" always ready to lend a hand (or a paw!). It is the ultimate teammate for your digital life.

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## 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)

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## 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) |
| ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| [<img src="https://gw.alicdn.com/imgextra/i1/O1CN01hhD1mu1Dd3BWVUvxN_!!6000000000238-2-tps-400-400.png" width="80" height="80" alt="Discord">](https://discord.gg/eYMpfnkG8h) | [<img src="https://img.shields.io/badge/X-black.svg?logo=x&logoColor=white" width="80" height="80" alt="X">](https://x.com/agentscope_ai) | [<img src="https://img.alicdn.com/imgextra/i2/O1CN01vCWI8a1skHtLGXEMQ_!!6000000005804-2-tps-458-460.png" width="80" height="80" alt="DingTalk">](https://qr.dingtalk.com/action/joingroup?code=v1,k1,OmDlBXpjW+I2vWjKDsjvI9dhcXjGZi3bQiojOq3dlDw=&_dt_no_comment=1&origin=11) |

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## Telemetry

CoPaw collects **anonymous** usage data during `copaw init` to help us understand our user base and prioritize improvements. Data is sent **once per version** — when you upgrade CoPaw, telemetry is re-collected so we can track version adoption.

**What we collect:**

- CoPaw version (e.g., 0.0.7)
- 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 `copaw 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 CoPaw's functionality.

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## License

CoPaw is released under the [Apache License 2.0](LICENSE).

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## Contributors

All thanks to our contributors:

<a href="https://github.com/agentscope-ai/CoPaw/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=agentscope-ai/CoPaw" alt="Contributors" />
</a>
