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Cotal: Agentic Coordination Layer

Cotal is an agentic coordination layer designed to enable autonomous agents to work together efficiently, facilitating task delegation, communication, and collaboration between AI agents.

Background

- Cotal is a startup building an "agentic coordination layer" — infrastructure to manage multiple AI agents working together on complex tasks, similar to how an operating system coordinates software processes. - "Agentic" means AI that acts autonomously toward goals. "Coordination layer" handles task decomposition, delegation, inter-agent communication, and error recovery. - This matters because most AI agents today work in isolation. Real-world workflows (software development, supply chains, research) need many specialized agents collaborating. Without dedicated coordination, multi-agent systems become chaotic. - Cotal competes with frameworks like LangChain, AutoGPT, and Microsoft's Copilot stack. Its bet is that coordination should be first-class infrastructure, not an afterthought.