Technical deep-dives and architecture notes

Moltbot is positioned as a personal AI agent that focuses on execution, not just conversation.

This overview highlights the core messaging and positioning that make it easy to understand.

If you are new to Moltbot, start here for the cleanest product narrative.

A clear name is a growth lever. Moltbot is the same mission with a sharper identity.

This piece explains the brand logic and how the new name improves recall and clarity.

Use it to align brand messaging across pages and articles.

Moltbot emphasizes self-hosting, control, and a local-first mindset for AI assistants.

That positioning supports trust, privacy, and faster workflows for real users.

This article turns those ideas into clear, user-friendly language.

Moltbot is framed around turning a simple request into a finished workflow.

This article describes how to talk about agentic workflows without hype.

Great for targeting automation, productivity, and AI agent keywords.

Open-source is more than a license; it is a trust signal in AI.

This article shows how to describe Moltbot with clarity and credibility.

Use it to strengthen the message around transparency and reliability.

Most agent frameworks don’t fail because the model is weak. They fail because the system prompt is treated as static text, not as part of the runtime.

In many agent setups, the system prompt is just a long personality description mixed with rules, tools, and reminders. It grows over time, becomes fragile, and eventually turns into an opaque blob no one wants to touch.

Clawdbot takes a very different approach. Instead of writing a system prompt, Clawdbot assembles and compiles one for every agent run.

Clawdbot is a personal AI assistant that runs through a local Gateway control plane and a CLI-first setup flow.

The recommended path is the onboarding wizard, which configures the gateway, workspace, channels, and skills in one guided flow.

Below is a clean, practical install guide with the key steps and links.