Coral AI Labs develops AgentRadio for real-time AI agent coordination

Getting AI agents to work together on complex tasks has always had an awkward problem. They can divide the work just fine. They just can’t talk to each other while they’re doing it. Coral AI Labs, working alongside researchers at multiple universities, published a paper on July 30 introducing AgentRadio, an asynchronous message-passing layer that lets AI agents communicate between execution steps without pausing their primary workflows. The coordination gap in multi-agent systems Most multi-agent AI architectures force agents to communicate at rigid checkpoints, like the end of a phase or during synchronized rounds. That works well enough for simple, modular tasks where each agent’s work is neatly self-contained. AgentRadio addresses this by creating what the researchers call “passive awareness.” Agents can receive and process insights from their counterparts without stopping what they’re doing. The architecture is built on three core primitives: create_thread, send_message, and wait_for_mention. In empirical tests using SWE-Atlas QnA, a benchmark for complex code analysis, a team of four Claude Code agents equipped with AgentRadio resolved 62.1% of tasks. A single Claude Code agen...