CoPaw
Open-source personal AI workstation for local LLMs and multi-channel messaging integration.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Sep 02, 2026
Overview
What is CoPaw?
CoPaw (Co Personal Agent Workstation) is an open-source personal AI assistant workstation built on the AgentScope framework. It allows users to deploy a fully modular AI agent locally or in the cloud, connecting it to popular messaging platforms like DingTalk, Feishu, QQ, Discord, and iMessage. CoPaw distinguishes itself by offering full privacy control through local LLM execution (supporting llama.cpp and MLX), a proactive 'heartbeat' mechanism for autonomous tasks, and a long-term memory system that learns user preferences over time.
What is CoPaw used for?
Tags
Top Features
- Multi-Channel Chat Integration (DingTalk, Feishu, Discord, iMessage, etc.)
- Local LLM Execution (llama.cpp, MLX, and Ollama support)
- Modular Agent Architecture with decoupled Prompt, Hooks, and Tools
- Proactive Heartbeat Mechanism for scheduled autonomous tasks
- Long-Term Memory for tracking user decisions and preferences
- Extensible Skill System with built-in cron scheduling
How to use CoPaw?
Users can get started by installing CoPaw via 'pip install copaw' or a one-line curl script. After installation, run 'copaw init --defaults' and 'copaw app' to launch the web-based console. From the console, users can configure their preferred local or cloud models, connect chat channels, and manage automated skills.
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Pros & Cons
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Use Cases
- Automatically compiling daily news digests from social media and news sites
- Summarizing high-volume emails and generating weekly productivity reports
- Running private local AI models on Apple Silicon or standard hardware
- Automating desktop tasks like file organization and document summarization
- Setting up an AI assistant that proactively manages to-do lists and reminders
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