Context engineering

Type: types/tag-readme.md

This tag gathers work on getting the right knowledge into a bounded LLM context at the right time: routing and retrieval, loading and prompt assembly, scoping, context budgets and degradation, scheduling work across context windows, and deciding what to store so it can be loaded later. The defining note is context engineering, which names routing, loading, scoping, and maintenance as the operational core. Members span kb/notes/, reference proposals for write-context assembly, and system analyses in kb/agentic-systems/. Nearby but different: agent-memory covers what an agent retains across sessions and under what authority; a note belongs here when its question is how knowledge reaches a bounded call, whether or not it was retained as memory. This head is selective; use a scoped tag search for full membership.

Core Claims

Methodology Activation

Write-Context Assembly

  • Agent memory - the retention side: what agents keep across sessions and how it is activated; most memory-requirements notes carry both tags
  • Computational model - the bounded-call substrate context engineering operates on, including framework-owned loops and when scheduling must become explicit
  • Deploy-time learning - the post-release change that context machinery helps absorb without retraining

Other tagged notes