copaw
Copaw is your AI personal assistant with simple installation, local and cloud deployment, multi-channel access, and extensible skills.
CoPaw, developed by Alibaba Cloud's Tongyi team, is a personal AI assistant designed to understand your needs and grow with you. It offers extremely simple installation and seamless local or cloud deployment, delivering a unified experience with multi-channel access and effortless capability expansion.
Core Capabilities
- Omni-Channel Access: Connect CoPaw to DingTalk, Feishu, QQ, Discord, iMessage, and additional platforms as needed for flexible interaction.
- Full User Control: Memory and personalization remain under your control, whether running locally or in the cloud, with support for scheduled and collaborative messaging to specified channels.
- Skills Extension: Includes built-in scheduled tasks and a customizable skill directory that loads automatically, enabling creation of advanced agentic applications.
Deployment Options
- Local: Install with
pip install copaw, initialize usingcopaw init --defaults, and launch withcopaw app(requires Python 3.10–3.13). - Cloud: One-click setup on ModelScope Studio for instant deployment without local Python environment.
Typical Use Cases
- Daily social media summaries and personalized recommendations from platforms like Xiaohongshu, Zhihu, and Reddit.
- Automated video content analysis and creation assistance.
- Productivity tools for email, calendar, file management, and document summarization.
- Research support, health tracking, and custom automated workflows.
CoPaw is provided at no cost and is available for immediate use via the official package. Future full open-sourcing on GitHub is planned to further expand the AgentScope ecosystem.
Source & Verification
If you notice incorrect or outdated information, please let us know. We verify and update listings regularly.
Includes:
- Local and cloud deployment options
- Multi-channel support including DingTalk, Feishu, QQ, Discord, and iMessage
- User-controlled long-term memory and personalization
- Built-in scheduled tasks and extensible custom skills
- One-command local installation via pip
