CoPaw - AI Pet Assistant
Open-source personal AI assistant with local LLMs and multi-channel chat
What is Copaw?
CoPaw is an open-source AI assistant built on AgentScope that runs locally on your machine or in the cloud with full privacy control. It connects to multiple chat platforms (DingTalk, Feishu, Discord, iMessage, etc.) and supports local LLM execution via llama.cpp and MLX, eliminating dependency on cloud APIs. Designed for personal workflows, CoPaw features a modular agent architecture with extensible skills, long-term memory, and autonomous scheduling through its heartbeat mechanism.
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Key Features of Copaw
- Multi-channel chat integration (DingTalk, Feishu, QQ, Discord, iMessage)
- Local LLM execution (llama.cpp, MLX for Apple Silicon)
- Modular agent architecture (decoupled Prompt, Hooks, Tools, Memory)
- Extensible skill system with cron scheduling
- Long-term memory and heartbeat mechanism for autonomous tasks
- Full privacy control with local or cloud deployment
- Unified model layer supporting cloud APIs and self-hosted inference
- Message queue for reliable multi-channel processing
- CLI for channel and skill management
Who Should Use Copaw?
Social and news aggregation with daily digests
Work productivity with email aggregation and report generation
Creative workflows for overnight content drafting
Research and knowledge base building
Desktop file organization and document summarization
Health and lifestyle tracking with reminders
Copaw: Pros & Cons
✓Pros
- Complete data ownership and privacy with local deployment option
- Low deployment barrier (pip, curl, Docker, or cloud one-click)
- Native support for 5+ messaging platforms
- Fully modular and extensible architecture
- Apache 2.0 open-source license
- Proactive autonomous scheduling via heartbeat mechanism
- No vendor lock-in with skill and channel management
Tags
Tool Details
- Company
- AgentScope
- Pricing
- Free
- Languages
- English, Simplified Chinese, Traditional Chinese (Hong Kong), Traditional Chinese (Taiwan)
- Category
- Ai Agents
- Added
- Jun 2026
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