Your Personal AI Assistant; easy to installdeploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

Core capabilities:

Every channel — DingTalkFeishuQQDiscordiMessageand more. One assistantconnect as you need.

Under your control — Memory and personalization under your control. Deploy locally or in the cloud; scheduled reminders to any channel.

Skills — Built-in cron; custom skills in your workspaceauto-loaded. No lock-in.

What you can do

• Social: daily digest of hot posts (XiaohongshuZhihuReddit)Bilibili/YouTube summaries.
• Productivity: newsletter digests to DingTalk/Feishu/QQcontacts from email/calendar.
• Creative: describe your goalrun overnightget a draft next day.
• Research: track tech/AI newspersonal knowledge base.
• Desktop: organize filesread/summarize docsrequest files in chat.
• Explore: combine Skills and cron into your own agentic app.

[2026-03-09] We released v0.0.6! See the v0.0.6 Release Notes for the full changelog.

• [v0.0.6] Added: Native desktop installers with one-click setup (Windows/macOS); Russian and Japanese language support across UI and agent configs; Telegram access control with allowlists; QQ Markdown and rich media support; Discord/Feishu/DingTalk media enhancements; MQTT channel for IoT integration; Gemini thinking model and MLX backend support; built-in tool management page; custom system prompts from workspace files; ReMeLight memory system with smart truncation.
• [v0.0.6] Improved: Dynamic memory compaction configuration; version detection using PyPI timestamps; LESS-based refactoring; UTC timezone standardization; modular provider architecture with lifecycle management.
• [v0.0.6] Fixed: Windows file paths and shell encoding; DingTalk Office file detection; skill import UTF-8 handling; Docker-friendly URL validation; version badge positioning; language-aware file notifications.
• [v0.0.6] Docs: New logo and social media integration; desktop app installation guides; memory compaction and command documentation; updated roadmap; enhanced website presentation.
• [v0.0.6] Contributors: Thanks to new contributors: @Osier-Yi@muchenhen@hongxicheng@YingchaoX@seoeaa@Chiytako@eviaaaaa@vvv214@baijunty@p8rtop@yifanli-intel@Eduiskss@snai1557.

[2026-03-06] We released v0.0.5! See the v0.0.5 Release Notes for the full changelog.

[2026-03-02] We released v0.0.4! See the v0.0.4 Release Notes for the full changelog.

Recommended reading:

• I want to run CoPaw in 3 commands: Quick Start → open Console in browser.
• I want to chat in DingTalk / Feishu / QQ: Configure channels in the Console.
• I don’t want to install Python: Script install handles Python automaticallyor use ModelScope one-click for cloud deployment.

• News
• Quick Start
• API Key
• Local Models
• Documentation
• FAQ
• Roadmap
• Contributing
• Install from source
• Why CoPaw?
• Built by
• License

If you prefer managing Python yourself:

pip install copaw
copaw init --defaults
copaw app

Then open http://127.0.0.1:8088/ in your browser for the Console (chat with CoPawconfigure the agent). To talk in DingTalkFeishuQQetc.add a channel in the docs.

No Python setup requiredone command installs everything. The script will automatically download uv (Python package manager)create a virtual environmentand install CoPaw with all dependencies (including Node. and frontend assets). Note: May not work in restricted network environments or corporate firewalls.

macOS / Linux:

curl -fsSL https://copaw.agentscope.io/install.sh | bash

To install with Ollama support:

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

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

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

Windows (CMD):

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

Windows (PowerShell):

irm https://copaw.agentscope.io/install.ps1 | iex

Note: The installer will automatically check the status of uv. If it is not installedit will attempt to download and configure it automatically. If the automatic installation failsplease follow the on-screen prompts or execute python -m pip install -U uvthen rerun the installer.

⚠️ Special Notice for Windows Enterprise LTSC Users

If you are using Windows LTSC or an enterprise environment governed by strict security policiesPowerShell may run in Constrained Language Modepotentially 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 Modeit 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 appearsonly configure the CoPaw path. If you receive the prompt 'uv' is not recognized as an internal or external commandoperable 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\uvor 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 + Rtype sysdm.cpl and press Enter to open System Properties.
     • Click “Advanced” -> “Environment Variables”.
     • Under “System variables”locate and select Paththen click “Edit”.
     • Click “New”enter both directory paths sequentiallythen click OK to save.

2. If using PowerShell (.ps1): Script execution interrupted

Due to Constrained Language Modethe script may fail to automatically download uv.

• Manually install uv: Refer to the GitHub Release 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 installedopen a new terminal and run:

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

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

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

# With local model support
bash install.sh --extras llamacpp    # llama.cpp (cross-platform)
bash install.sh --extras mlx         # MLX (Apple Silicon)
bash install.sh --extras llamacpp,mlx

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

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

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

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

# With local model support
.\install.ps1 -Extras llamacpp      # llama.cpp (cross-platform)
.\install.ps1 -Extras mlx           # MLX
.\install.ps1 -Extras llamacpp,mlx

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

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

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 timememory usageand 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 toolsyou can download and use CoPaw's desktop application without manually configuring Python environments or running commands.

Download the desktop app from GitHub Releases:

• Windows: CoPaw-Setup-<version>.exe
• macOS: CoPaw-<version>-macOS.zip (Apple Silicon recommended)

• ✅ Zero configuration: Download and double-click to runno need to install Python or configure environment variables
• ✅ Cross-platform: Supports Windows 10+ and macOS 14+
• ✅ Visual interface: Automatically opens browser interfaceno need to manually enter addresses
• ⚠️ Beta stage: Features are continuously being improvedfeedback welcome

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.

When you download the CoPaw macOS app from ReleasesmacOS 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 blockedgo to System Settings → Privacy & Securityscroll 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 appearbut is less safe and controllable than using Right-click → Open.

For detailed usage instructionstroubleshootingand common issuessee the Desktop Application Guide.

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

docker pull agentscope/copaw:latest
docker run -p 127.0.0.1:8088:8088 -v copaw-data:/app/working 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. Configmemoryand skills are stored in the copaw-data 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 containerlocalhost refers to the container itselfnot your host machine. If you run Ollama (or other model services) on the host and want CoPaw in Docker to reach themuse one of these approaches:

Option A — Explicit host binding (all platforms):

docker run -p 127.0.0.1:8088:8088 \
  --add-host=host.docker.internal:host-gateway \
  -v copaw-data:/app/working agentscope/copaw:latest

Then in CoPaw Settings → Models → Ollamachange the Base URL to http://host.docker.internal:11434 or your corresponding port.

Option B — Host networking (Linux only):

docker run --network=host -v copaw-data:/app/working 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 hostwhich may cause conflicts if the port is already in use.

The image is built from scratch. To build the image yourselfplease refer to the Build Docker image section in scripts/README.mdand then push to your registry.

No local install? ModelScope Studio one-click cloud setup. Set your Studio to non-public so others cannot control your CoPaw.

To run CoPaw on Alibaba Cloud (ECS)use the one-click deployment: open the CoPaw on Alibaba Cloud (ECS) deployment link and follow the prompts. For step-by-step instructionssee Alibaba Cloud Developer: Deploy your AI assistant in 3 minutes.

If you use a cloud LLM (e.g. DashScopeModelScope)you must configure an API key before chatting. CoPaw will not work until a valid key is set. See the official docs for details.

How to configure:

1. Console (recommended) — After running copaw appopen http://127.0.0.1:8088/ → Settings → Models. Choose a providerenter the API Keyand enable that provider and model.
2. copaw init — When you run copaw initit 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 variablesor see Config for details.

Using local models only? If you use Local Models (llama.cpp or MLX)you do not need any API key.

CoPaw can run LLMs entirely on your machine — no API keys or cloud services required. See the official docs for details.

After installingyou can download and manage local models in the Console UI. You can also use the command line:

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

Full docs in this repo: website/public/docs/.

For common questionstroubleshooting tipsand known issuesplease visit the FAQ page.

Status: In Progress — actively being worked on; Planned — queued or under designalso welcome contributions; Seeking Contributors — we strongly encourage community contributions; Long-term Planned — longer-horizon roadmap.

We are building CoPaw in the open and welcome contributions of all kinds! Check the Roadmap above (especially items marked Seeking Contributors) to find areas that interest youand read CONTRIBUTING to get started. We particularly welcome:

• Horizontal expansion — new channelsmodel providersskillsMCPs.
• Existing feature extension — display and UX improvementsdownload hintsWindows path compatibilityand the like.

Join the conversation on GitHub Discussions to suggest or pick up work.

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 (testsformatting): pip install -e ".[dev]"
• Then: Run copaw init --defaultsthen copaw app.

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

AgentScope team · AgentScope · AgentScope Runtime · ReMe

Discord	X (Twitter)	DingTalk

CoPaw is released under the Apache License 2.0.

All thanks to our contributors: