

Moltcraft is an open-source isometric pixel dashboard designed specifically for Moltbot, transforming how users monitor their AI agents. Instead of dealing with terminal tabs and scrolling through JSON logs, it presents a visual world where agents are represented as pixel characters moving in real-time. This provides an intuitive overview of agent activity and status at a glance.
The dashboard offers a multi-agent view that displays every agent simultaneously with their status, token usage, and conversations on one screen. Users can click on agents to engage in live chat, reading message history and watching responses stream in. Built-in voice I/O allows for hands-free interaction through talking to agents and hearing their replies. Interactive buildings throughout the world provide access to real data including cron jobs, token usage statistics, skills, and connected channels when clicked.
Moltcraft operates as a zero-dependency application built with pure HTML, CSS, and JavaScript totaling approximately 2MB in size. It requires no React framework or build step and can run efficiently on low-power devices like Raspberry Pi. The system auto-discovers Moltbot gateways when launched.
The primary benefit is eliminating the need for constant terminal monitoring by providing an engaging visual interface that makes agent activity immediately understandable. Users can interact naturally with their AI agents through chat and voice while maintaining awareness of overall system status. The lightweight architecture ensures accessibility across various hardware configurations.
Moltcraft targets developers and users of Moltbot who want to visualize their AI agent workflows. It integrates specifically with Moltbot installations and is available as both a local deployment and an upcoming cloud version.
admin
Moltcraft is designed for developers and users of Moltbot who want to visualize their AI agent workflows. It serves those who prefer visual monitoring over terminal log reading and need to track multiple agents simultaneously. The product appeals to users seeking lightweight solutions that can run on various hardware including Raspberry Pi devices.