LLM Coordination is a developer-focused framework that orchestrates interactions between multiple large language models to solve complex tasks. It provides a planning component that breaks down high-level goals into sub-tasks, a retrieval module that sources context from external knowledge bases, and an execution engine that dispatches tasks to specialized LLM agents. Results are aggregated with feedback loops to refine outcomes. By abstracting communication, state management, and pipeline configuration, it enables rapid prototyping of multi-agent AI workflows for applications like automated customer support, data analysis, report generation, and multi-step reasoning. Users can customize planners, define agent roles, and integrate their own models seamlessly.

Vrain AI is a productivity enhancement tool designed to centralize and streamline data searches across multiple platforms. With Vrain, users can effortlessly locate information scattered across various tools without the need to switch between them. This unified search capability is especially useful for retrieving emails, meeting notes, and other critical data quickly, thereby reducing time spent on searching and increasing overall productivity.