CoPaw is an open-source workstation from Alibaba researchers designed to deploy and manage personal AI agents that scale multi-channel workflows and memory.

ReMe provides persistent memory and data privacy, solving statelessness in standard LLM APIs so agents can retain context across sessions and platforms.

A skills system lets Python-based functions be added through a custom skill directory, enabling agents to perform tasks like web scraping, local file access, knowledge-base queries, and calendar/email management without touching core code.

The overarching takeaway is to shift from chasing model inference alone to building a full workstation architecture with long-term memory, extensible skills, and cross-platform deployment for automated agent workflows.

All-Domain Access connects multiple channels, unifying enterprise tools (DingTalk, Lark/Feishu) with social and developer platforms (Discord, QQ, iMessage) under one interface with memory integration.

The architecture rests on three layers: AgentScope for communication and logic, AgentScope Runtime for execution and resource management, and ReMe for memory that spans local and cloud storage.

CoPaw enables proactive background operations by merging scheduled tasks with skills to deliver research syntheses or repository monitoring to preferred channels.