Top AI Product

If you’ve been anywhere near [GitHub Trending](https://github.com/trending) this past weekend, you’ve probably noticed [CoPaw](https://github.com/agentscope-ai/CoPaw) climbing fast. The project shot up to over 6k stars in just a couple of days, and honestly, after poking around the repo, I get why.

CoPaw comes from Alibaba’s AgentScope team, and the pitch is simple: it’s a personal AI agent workstation you can self-host. But here’s where it gets interesting — this isn’t just another ChatGPT wrapper or chatbot skin. It’s more like a runtime for your own AI assistant. You install it, point it at a local model (via llama.cpp, MLX on Apple Silicon, or Ollama), or hook up a cloud API, and suddenly you’ve got a persistent agent that actually remembers things across sessions. The memory system, called ReMe, stores your preferences and past interactions locally or in the cloud, so your assistant gets better over time without shipping your data to some third-party server.

What really caught my attention is the multi-channel support. You can wire CoPaw into Discord, iMessage, DingTalk, Feishu, QQ, and even Telegram. One agent, multiple inboxes. That’s genuinely useful if you’re the kind of person who lives across several messaging apps. It also supports MCP protocol and has its own skill extension system through [ClawHub](https://copaw.bot/), so you can bolt on new capabilities without touching the core agent logic.

The timing feels right, too. Between the local AI movement picking up steam and more people caring about data ownership, a self-hosted agent that runs entirely offline hits a nerve. [MarkTechPost covered it on March 1st](https://www.marktechpost.com/2026/03/01/alibaba-team-open-sources-copaw-a-high-performance-personal-agent-workstation-for-developers-to-scale-multi-channel-ai-workflows-and-memory/), the [GitHub Projects account on X gave it a shoutout](https://x.com/GithubProjects/status/2027987058090983890), and even [Gigazine in Japan](https://gigazine.net/gsc_news/en/20260302-copaw-personal-ai-assistant-open-source) ran a full feature on it. That’s a lot of organic buzz for a project barely days old.

Setup is surprisingly painless — a `pip install copaw` and you’re off. There’s also Docker support and a one-line installer if Python isn’t your thing. The whole thing ships under Apache 2.0, which means you can fork it, modify it, build on top of it without worrying about licensing headaches.

I’m not going to pretend CoPaw solves everything, but it’s the first open-source personal agent setup I’ve seen that feels like it was built by people who actually use these tools daily. If you’ve been waiting for a reason to run your own AI assistant instead of renting one, this might be it.