Moltbot Crosses 180K GitHub Stars: The Open-Source AI Assistant Apple Should Have Built

The open-source AI assistant formerly known as Clawdbot — now renamed Moltbot — has become one of the fastest-growing repositories in GitHub history, crossing 180,000 stars and drawing 2 million visitors in a single week.

What Is Moltbot?

Created by Peter Steinberger (founder of PSPDFKit), Moltbot is a 24/7 AI assistant that runs on your own hardware:

  • Hardware: Mac Mini, Raspberry Pi, VPS, or any always-on computer
  • Messaging: Connects to WhatsApp, Telegram, Discord, Slack, Signal, iMessage
  • AI Backend: Claude, ChatGPT, DeepSeek, or local models
  • Capabilities: Full system access — files, shell commands, browser control, plugin creation

The Name Change

On January 27, Anthropic requested a name change over trademark concerns related to “Clawd.” Steinberger’s response: “‘Molt’ fits perfectly — it’s what lobsters do to grow.”

Why People Are Calling It “What Siri Should Have Been”

The viral adoption reveals deep frustration with existing smart assistants:

  • Persistent memory across conversations (Siri forgets everything)
  • Proactive outreach when something needs attention
  • Actual task completion rather than web search redirects
  • Cross-platform messaging integration

The Apple Paradox

As we documented in The AI Intelligence Gap Inside Apple, developers are buying Apple’s excellent hardware specifically to bypass Apple’s weak AI software.

The M4 Mac Mini is selling partly because of Moltbot — people spending $599+ on hardware to run a third-party AI assistant. Apple captures the hardware revenue but cedes the high-value, relationship-building AI layer to Anthropic and the open-source community.

Architecture Details

Moltbot runs a local “gateway” that connects messaging platforms to AI models. It has full system access by default — reading and writing files, executing shell commands, controlling browsers. Settings and memory are stored as local Markdown files.


Source: MacStories, Techloy. For strategic context, read The AI Intelligence Gap Inside Apple on The Business Engineer.

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