Agentic Workflows 2

Intelligent LLM router and interaction layer for cost-effective AI task management. Toto is an intelligent routing layer and interaction platform designed for the human-agent world model. It optimizes LLM usage by automatically directing tasks to the most cost-effective and capable models from major vendors like OpenAI, Anthropic, and Google. Beyond cost optimization, Toto serves as a bidirectional state management layer where humans and AI agents can interact in a shared, real-time environment. It helps businesses avoid wasting money on expensive 'top-tier' models for simple tasks by scoring model capability against specific needs, ensuring the right model is used for the right prompt.

AI-native workspace for autonomous agents with shared memory and persistent tools. Moxt is an AI-native workspace designed as an operating system for AI agents and humans to work together seamlessly. Unlike traditional tools that treat AI as an add-on, Moxt provides agents with a persistent environment featuring their own file system, long-term memory, and the ability to call skills and tools autonomously. It enables team-wide shared context, meaning that if one agent learns a lesson or corrects a mistake, that knowledge is shared across the entire organization. This platform is built to handle complex workflows where multiple agents coordinate functions like data pulling, report drafting, and deck building, significantly amplifying a team's output.