CoPaw — Co Personal Agent Workstation — is an open-source AI assistant built on the AgentScope framework. Deploy on your machine or in the cloud, connect your favorite chat apps, and run local LLMs with full privacy control. A warm little "paw" that is always ready to help.
$ curl -fsSL https://copaw.agentscope.io/install.sh | bash
$ pip install copaw
$ docker run -p 8088:8088 agentscope/copaw:latest
CoPaw is more than a chatbot. It is a fully modular personal agent workstation that gives you complete control over your AI assistant — from the model it runs to the channels it connects.
Natively connect CoPaw to DingTalk, Feishu, QQ, Discord, iMessage, and more. One assistant, multiple channels — reach your AI wherever you communicate.
Run large language models entirely on your machine — no API keys, no cloud dependencies. CoPaw supports llama.cpp (cross-platform) and MLX (Apple Silicon M1–M4).
CoPaw's agent core is fully modular — Prompt, Hooks, Tools, and Memory are decoupled components. Replace or extend any module independently and assemble your own agent.
Built-in cron scheduling and custom skills that auto-load from your workspace. CoPaw ships with practical skills out of the box, and developers can create, install, or remove skills via CLI — no vendor lock-in.
CoPaw proactively remembers your decisions, preferences, and to-do items via its long-term memory system. Its innovative heartbeat mechanism lets it autonomously perform scheduled tasks — check emails, compile reports, organize to-dos — without being asked.
You own every piece of data. Deploy CoPaw locally or in the cloud, choose your own model — mainstream cloud APIs, self-hosted inference, Ollama, or Apple Silicon native — and keep everything under your control.
CoPaw is a key application within the AgentScope ecosystem — a production-ready, developer-centric framework for building and running intelligent agents. The technology stack combines Python (72.8%) for backend logic with TypeScript (22.2%) for the Console frontend.
Unified model layer supporting cloud APIs (Qwen series and mainstream models), self-hosted inference services, Ollama, llama.cpp, and MLX for Apple Silicon local execution.
Decoupled modules — Prompt, Hooks, Tools, Memory — that can be independently replaced or extended. Developers assemble agents from interchangeable building blocks.
Unified protocol and types across all messaging platforms. A channel registry with CLI commands (list, install, remove, config) lets you manage channels like plugins.
Built-in consumption and queue mechanism ensures reliable message processing across multiple simultaneous channels — no dropped messages even under heavy load.
Auto-loaded skills from the user workspace with built-in cron scheduling. Skills are first-class citizens — discoverable, composable, and independently deployable.
Persistent long-term memory that proactively captures decisions, preferences, and to-do items from conversations. The longer you use CoPaw, the better it understands you.
CoPaw integrates natively with the messaging platforms you already use. The unified channel protocol ensures consistent behavior and reliable delivery across every connected platform.
Developers can build custom channel plugins using the channel registry mechanism. Install, remove, and configure channels via CLI commands — manage your messaging integrations just like you manage packages.
CoPaw offers one of the lowest deployment barriers among open-source agent tools. Choose the method that fits your workflow — from a single pip command to Docker and cloud deployment.
For users with Python 3.10+ environments. The fastest way to get started.
pip install copaw
# Initialize and launch
copaw init --defaults
copaw app
# Open http://127.0.0.1:8088/ in your browserOne-line install that automatically sets up the Python environment. Ideal for first-time users.
# macOS / Linux
curl -fsSL https://copaw.agentscope.io/install.sh | bash
# Windows — see docs for PowerShell methodContainerized deployment with persistent data volume. Two commands to a running instance.
docker pull agentscope/copaw:latest
docker run -p 8088:8088 \
-v copaw-data:/app/working \
agentscope/copaw:latestOne-click deployment on ModelScope Studio or Alibaba Cloud Computing Nest — no local setup required.
# Visit ModelScope Studio for one-click deploy
# Or use Alibaba Cloud Computing Nest
# See official docs for detailed guidesCoPaw is designed for real daily workflows — from automating email digests to creative content drafts. Combine built-in skills with cron scheduling to build your own agentic workflows.
Automatically compile daily digests of trending posts from Xiaohongshu, Zhihu, and Reddit. Summarize Bilibili and YouTube videos. Stay informed without information overload.
Aggregate and summarize high-volume emails. Generate and organize weekly reports with one click. Extract contacts from emails and calendar events to streamline your workflow.
Describe your creative goal, let CoPaw work overnight, and receive a polished draft the next morning. From video scripts to social media content — ideation at scale.
Track technology and AI news automatically. Build a personal knowledge base that grows with you. Crawl, organize, and summarize information from across the web.
Organize files, read and summarize documents, request files through your chat interface. CoPaw bridges the gap between your desktop and your messaging apps.
Track and analyze your daily diet and fitness data. Record habits, set reminders for routines, and let CoPaw help you stay consistent with personal goals.
CoPaw occupies a unique position in the personal AI assistant space — combining multi-channel chat integration, local model support, and full user control in a single open-source workstation.
| Capability | CoPaw | AutoGPT | CrewAI | Cloud Assistants |
|---|---|---|---|---|
| Core Focus | Personal Agent Workstation | Autonomous Task Agent | Multi-Agent Orchestration | General Conversational AI |
| Deployment | Local / Cloud / Docker | Local / Cloud | Local / Cloud | Cloud Only |
| Multi-Channel Chat | ✓ Native (5+ platforms) | Limited | Limited | API-based |
| Local Model Support | ✓ llama.cpp + MLX | ✓ | ✓ | ✗ |
| Privacy Control | Full (local deploy) | Moderate | Moderate | Limited |
| Skill / Plugin System | ✓ Built-in + CLI | Plugins | Custom Agents | Varies |
| Proactive Scheduling | ✓ Heartbeat + Cron | ✗ | ✗ | ✗ |
| License | Apache 2.0 | MIT | MIT | Proprietary |
This open-source release is just the beginning. The CoPaw development team is actively exploring the next generation of personal AI assistant capabilities.
Lightweight local models handle private and sensitive data while powerful cloud models tackle planning, coding, and complex reasoning — balancing security, performance, and capability.
Voice and video call capabilities with your CoPaw personal assistant. Expect richer, more natural ways to interact beyond text.
Growing the skill marketplace, broadening channel support, and deepening the AgentScope framework integration for ever more capable personal agents.
CoPaw stands for Co Personal Agent Workstation. It is an open-source personal AI assistant built on the AgentScope framework, developed by the AgentScope AI team. CoPaw supports multi-channel chat applications, local LLM execution, and a modular agent architecture — designed to give you full control over your AI assistant.
The recommended method is pip install copaw (requires Python 3.10+). You can also use the one-line installer script for macOS/Linux, deploy via Docker (docker pull agentscope/copaw:latest), or use one-click cloud deployment on ModelScope Studio. After installation, run copaw init --defaults && copaw app to launch the console at http://127.0.0.1:8088/.
Yes. CoPaw supports running LLMs entirely on your local machine via llama.cpp (cross-platform: macOS, Linux, Windows) and MLX (optimized for Apple Silicon M1/M2/M3/M4). No API keys or cloud services required. Use copaw models download to manage local models.
CoPaw natively supports DingTalk, Feishu (Lark), QQ, Discord, and iMessage. Developers can also build custom channel plugins using the built-in channel registry and manage them via CLI commands (list, install, remove, config).
Yes. CoPaw is released under the Apache License 2.0 and is free to use, modify, and distribute. The source code is available on GitHub. Contributions from the community are welcomed.
CoPaw is built upon the AgentScope framework — a production-ready, developer-centric framework for building and running intelligent agents with built-in support for tools and model integration. CoPaw serves as a reference implementation and key application within the AgentScope ecosystem, leveraging its abstractions and capabilities to deliver personal AI assistant functionalities.
GitHub Stars
Forks
License
Tech Stack
CoPaw is built and maintained by the AgentScope AI team and actively welcomes community contributions. The project is part of the broader AgentScope ecosystem, which has been cited in academic publications including "AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications" on arXiv, demonstrating both academic rigor and production readiness.
Whether you want to submit a pull request, report an issue, or build a custom skill or channel plugin, the CoPaw community is open and growing. Documentation is available in both English and Chinese to support developers worldwide.
Deploy your personal AI assistant in minutes. Open-source, extensible, and privacy-first.