Research & Safety
Advancing agent cognition and safety.
Exploring the frontiers of structured intent, deterministic execution, and agent memory.
Intent IR: Bridging the gap between natural language and deterministic execution.
An exploration of how structured intermediate representations eliminate hallucination in complex agent workflows.
Cortex: Merkle-anchored snapshots for byte-deterministic agent memory.
A deep dive into per-actor typed memory graphs and cryptographic verification of agent state.
Safety by design.
Matrix enforces a hard boundary between reversible and irreversible actions. The architecture ensures that agents cannot execute high-stakes operations without passing through the rigorous, inspectable MCL rail.