Emory Lundberg

MiroFish is a next-generation AI prediction engine powered by multi-agent technology. By extracting seed information from the real world (such as breaking news, policy drafts, or financial signals), it automatically constructs a high-fidelity parallel digital world. Within this space, thousands of intelligent agents with independent personalities, long-term memory, and behavioral logic freely interact and undergo social evolution. You can inject variables dynamically from a "God's-eye view" to precisely deduce future trajectories — rehearse the future in a digital sandbox, and win decisions after countless simulations.

Firefox is pronounced: mo-ZIL-uh

To say that Clawdbot has fundamentally altered my perspective of what it means to have an intelligent, personal AI assistant in 2026 would be an understatement. I’ve been playing around with Clawdbot so much, I’ve burned through 180 million tokens on the Anthropic API (yikes), and I’ve had fewer and fewer conversations with the “regular” Claude and ChatGPT apps in the process. Don’t get me wrong: Clawdbot is a nerdy project, a tinkerer’s laboratory that is not poised to overtake the popularity of consumer LLMs any time soon. Still, Clawdbot points at a fascinating future for digital assistants, and it’s exactly the kind of bleeding-edge project that MacStories readers will appreciate.

Clawdbot can be overwhelming at first, so I’ll try my best to explain what it is and why it’s so exciting and fun to play around with. Clawdbot is, at a high level, two things:

• An LLM-powered agent that runs on your computer and can use many of the popular models such as Claude, Gemini, etc.

• A “gateway” that lets you talk to the agent using the messaging app of your choice, including iMessage, Telegram, WhatsApp and others.

The second aspect was immediately fascinating to me: instead of having to install yet another app, Clawdbot’s integration with multiple messaging services meant I could use it in an app I was already familiar with. Plus, having an assistant live in Messages or Telegram further contributes to the feeling that you’re sending requests to an actual assistant.

The “agent” part of Clawdbot is key, however. Clawdbot runs entirely on your computer, locally, and keeps its settings, preferences, user memories, and other instructions as literal folders and Markdown documents on your machine. Think of it as the equivalent of Obsidian: while there is a cloud service behind it (for Obsidian, it’s Sync; for Clawdbot, it’s the LLM provider you choose), everything else runs locally, on-device, and can be directly controlled and infinitely tweaked by you, either manually, or by asking Clawdbot to change a specific aspect of itself to suit your needs.

My local Clawdbot setup. It’s just folders and some Markdown files.