Context management.
Updated 2026-07-02 · Agent-readable markdown available
Definition of context management for AI agents and company context.
Context management is the daily practice of selecting, scoping, refreshing, and auditing the context an AI agent receives.
- It is about the right context, not maximum context.
- It needs source, permission, freshness, and retrieval controls.
- Ambience manages context through governed memories and MemoryOps loops.
Ambience's view
For teams, context management means turning useful work into source-linked memories, narrowing access with scopes, redacting before storage, and reviewing retrieval health before agents rely on the context.