Cord: A New Framework for Dynamic Coordination of AI Agent Workflows

AI agents are good at doing one thing at a time. Give Claude a focused task and it performs. But real work isn't one task. It's a tree of tasks with dependencies, parallelism, and context that needs to flow between them.

The multi-agent frameworks are multiplying. They're all solving the wrong problem.

LangGraph models coordination as a state machine. You define nodes and edges in Python. The developer decides upfront how agents hand off work. It's powerful for fixed workflows, but the graph is static.

If an agent realizes mid-task that the work should be split differently, the static nature of current frameworks becomes a limitation.