CoPaw

CoPaw (Collaborative Personal Agent Workspace) is a self-hosted personal AI assistant from Alibaba Cloud's Tongyi team, built on AgentScope and deployable locally with three pip commands. It is not a Q&A tool but a "growing" agent that proactively remembers, reports on schedule, and acts on its own — built for Chinese technical users who value data privacy.

Core Capabilities

• Multi-Channel Integration: Native support for DingTalk, Feishu, QQ, Discord, and iMessage — interact directly in the IM apps you already use
• Long-Term Memory System: Hybrid semantic vector + BM25 retrieval accumulates user preferences across sessions, understanding you better the more you use it
• Scheduled Tasks and Heartbeat: Configure cron expressions for daily task pushes; the agent proactively checks in with reports
• Autonomous Operation: Edit documents, organize files, browse the web, and run scripts — genuinely getting work done on your behalf
• Extensible Skills Architecture: Generate new skills through conversation, with built-in modules for document processing, stock monitoring, browser automation, and more
• Localized Privacy: Data stored entirely locally, never uploaded to any third-party server

Use Cases Professionals who live in DingTalk/Feishu, productivity enthusiasts who need scheduled reports and bulk document processing, and tech hobbyists who want to customize a personal AI assistant. Not suited to ordinary users seeking a zero-configuration, out-of-the-box experience.

Unique Advantages While OpenClaw focuses on Telegram/WhatsApp, CoPaw is the only personal agent with native DingTalk, Feishu, and QQ integration — a decisive advantage for Chinese workplace users. Built on the mature AgentScope framework, its technical foundation is more reliable than standalone open-source projects.

Editor's Review It drew broad attention from the Chinese technical community within two weeks of release. The minimalist installation and privacy-first design earned high user praise, with the Skills dynamic generation capability a particular highlight. The main risk is how new the product is — the open-source GitHub release is not yet complete. Technical users should try it now; enterprise users should wait for the community to mature before adopting.