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The Internet of Cognition (IoC) project builds the agentic cognitive layer that lets autonomous agents effectively collaborate. Agent transports like A2A, MCP and SLIM already deliver messages reliably. They do not establish shared intent, shared context or shared reasoning, and without those, several capable agents assigned to one task will exchange messages correctly and still produce a poor outcome, often worse than what any of them would produce alone: contradictory findings committed to shared state, the same intermediate result interpreted differently, a session closed without a validated agreement. None of it raises an exception, so conventional monitoring never sees it.
IoC addresses this with four components. The Cognition Protocols operate above the transport under a stronger success condition than delivery — alignment, of intents, roles and opinions. The Cognition Fabric recomposes a multi-agent interaction into a single trajectory and knowledge graph, and persists the insights derived from it, with SCOPE supplying that sensing and comprehension layer and detecting the cognitive failures that would otherwise go unseen. The Cognition Engines act on those insights to make collective behavior more capable and trustworthy. MAS-Lab spans all of them, providing an environment in which any component is declared, executed, observed and measured against a baseline, so that the claims made about it are results rather than assertions.
The documentation is accessible here: https://ioc-project.github.io.
The github organisation is here: https://github.com/ioc-project.
In this hugging face organisation, you will find datasets to experiment IoC on your own, replicating the experiments that we ran, etc. In particular, MAS-Lab labs are made available for easy reproducability of results that we showcases in our blogs/papers.