Context into execution.

The asset

Models are replaceable. The learning loop is the asset.

The open standard gives every agent access to your systems. Rhei owns what happens above access: which context to trust, what evidence proves it, what a human decided, and what worked last time. That understanding stays with your team, so you can change the model underneath and keep the expertise built into how your agents work.

Every run leaves evidence. Useful evidence becomes context. Repeated context becomes memory. Shared memory passes governance before it becomes team truth.

The system

Roadmap

One loop runs through every stage. Each surface adds evidence, memory, and governed truth, so the model can change while the learning stays.