Intent memory
How requirements, constraints, decisions and architecture stay addressable while implementation changes quickly.
Explore intentUnderstand the control model
Start with intent, reality, evidence and reconciliation.
The Xohre model begins with a simple premise: AI implementation will move faster than manually maintained specifications. The control plane keeps durable intent connected to what agents actually build and to the evidence humans use to trust it.
- Intent memory
- Semantic delta
- Continuous reconciliation
CANONICAL RECORD GRAPH
REQRequirementv8 · accepted
DECDecisionaccepted
CTXContext Packsealed
EVDEvidencefresh
RLSReleaseready
Product explainers
Three paths into the control plane.
Understand how durable intent, agent execution and evidence form one closed development loop.
Agent context and semantic delta
How agents receive bounded context and return material change without requiring exhaustive documentation refresh.
Explore agent contextReality and evidence
How implementation state, verification and release proof stay connected and freshness-aware.
Explore evidenceTrust resources
Commercial and privacy information stays easy to reach.
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