codified-context-architecture

Tiered context architecture organizes project knowledge for AI agents into hot memory, specialist routing, and cold-memory subsystem docs. This structure prevents information overload and ensures efficient retrieval by defining strict placement, routing, and drift rules for operational data.

To structure knowledge for an AI agent, organize information into hot memory for always-loaded context, specialists for domain-specific routing, and cold memory for on-demand subsystem docs. This establishes a scalable, maintainable base for operational data.

Replace a single-file manifest with tiered context when you need scalable knowledge management and efficient AI retrieval. This approach prevents information overload by splitting operational data into hot memory, specialist routing, and cold-memory docs.

Manage documentation drift by applying rules that identify when source files change and documentation needs review. This maintains accuracy across hot memory, specialist routing, and cold-memory subsystem docs within the agent infrastructure.

Yes, tiered context architecture works for domain-specific AI routing by defining specialist tiers. It provides clear guidelines on where to store domain knowledge and how to route requests to the appropriate specialist or document efficiently.