CoPaw - AI Pet Assistant

Open-source personal AI assistant with local LLMs and multi-channel chat

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Updated Jul 2026 · Added Jun 2026

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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

Frequently Asked Questions about Copaw

Can I run CoPaw entirely on my local machine without sending data to external servers?

Yes, CoPaw is designed for local execution. You can run local LLMs via llama.cpp or MLX (for Apple Silicon), handle all message processing locally, and keep your data on your own hardware. You can also deploy it to your own cloud infrastructure if you prefer, giving you complete control over where your data lives.

Which chat platforms can CoPaw connect to?

CoPaw integrates with DingTalk, Feishu, QQ, Discord, and iMessage. It uses a message queue for reliable multi-channel processing, so you can receive and respond to messages across these platforms from a single local instance.

How do I add new skills or automate custom workflows in CoPaw?

CoPaw has a modular skill system with a CLI for management. You can write new skills using its extensible architecture, which decouples Prompt, Hooks, Tools, and Memory components. Skills support cron scheduling, and CoPaw's heartbeat mechanism lets you trigger autonomous tasks on a schedule.

What's the easiest way to get CoPaw running?

You can install CoPaw via pip, Docker, or curl, or use a one-click cloud deployment option. The low barrier to entry means you can have it up and running quickly without complex infrastructure setup, whether you're deploying locally or in the cloud.

Tool Details

Company: AgentScope
Pricing: Free
Languages: English, Simplified Chinese, Traditional Chinese (Hong Kong), Traditional Chinese (Taiwan)
Category: Ai Agents Tools
Added: Jun 2026
Last Updated: Jul 2026