RunClaw

ZooClaw is a proactive AI platform designed to replace a single generic assistant with a coordinated team of specialized AI agents that work together to complete real tasks. Instead of requiring users to choose tools or craft prompts, it acts as a single entry point where users can describe a task in natural language and have it automatically routed to the most suitable specialist agent with structured domain knowledge. These agents are built for specific roles such as marketing, data analysis, coding, or office tasks, allowing them to produce more context-aware and actionable outputs than general-purpose AI systems. ZooClaw emphasizes a “zero-setup” experience, eliminating the need for API keys, deployments, or technical configuration, making it accessible to both technical and non-technical users. It operates on an intelligent routing system that selects the best underlying AI models for each task while maintaining workflow continuity through fallback options when needed.

MaxClaw is a managed AI agent deployment environment created by MiniMax that allows users to launch autonomous AI agents instantly without needing to configure servers, infrastructure, or maintenance. It is designed to simplify the process of building and running intelligent agents by providing an always-on environment where agents can execute tasks, interact with tools, and respond to requests continuously. MaxClaw integrates with the broader MiniMax Agent ecosystem, which uses advanced AI models capable of multi-step planning, reasoning, and task execution across complex workflows. Instead of manually deploying agent frameworks or maintaining cloud infrastructure, users can deploy an operational AI agent within seconds, allowing the system to handle tasks such as automation, research, content generation, coding, or data analysis.