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Show HN: GetClawdbot – A Community Guide and Skill Hub for Clawdbot

getclawdbot.org

1 points by medivhX 5 months ago · 2 comments · 1 min read

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Clawdbot is great but documentation is scattered. I created this to help people set up local AI OS, especially on Mac Mini, with a searchable error database.

rizzo94 5 months ago

I’ve been in a similar spot—spent a lot of time trying to get Moltbot (Clawdbot) running 24/7 on my own hardware. The troubleshooting, permissions, and skill integrations can easily take hours, and even small configuration mistakes break the whole setup.

While exploring ways to reduce that friction, I came across PAIO. The setup was essentially one click, but it still gives control over credentials with BYOK and a privacy-first approach. For me, it highlighted how much overhead self-hosting introduces versus a managed, secure personal AI—though I still see the value in projects like yours for learning and experimenting with local-first AI.

It might be worth adding a section comparing “full DIY vs managed but privacy-preserving AI” workflows—could help newcomers decide which path fits their goals.

medivhXOP 5 months ago

Hi HN,

I’ve been following the development of Clawdbot (a local AI OS) and realized that while the core project is brilliant, there’s a steep learning curve for non-hardcore developers—especially when it comes to 24/7 deployment on hardware like the new Mac Mini M4.

I built getclawdbot.org to bridge that gap. My goal is to make it the "missing manual" for the project. A few things I’ve added beyond the official README:

Hardware Optimization: Deep dives into why Mac Mini is the ideal low-power host.

Searchable Troubleshooting: I’m indexing common errors (like the notorious Gateway Pairing issue) to save people hours of debugging.

Skill Showcase: A more visual way to explore what these agents can actually do (browsing, Notion sync, etc.).

It’s still early days, and I’m actively adding more skill guides and local-first automation tips. I'd love to hear your thoughts on what’s missing or what local AI use cases you're most excited about!

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