12-factor-agentsAgent48/100 via “context-window-aware-memory-management”
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Unique: Implements explicit, configurable context window budgeting with priority-based eviction rather than naive truncation, ensuring critical information (recent events, errors, system state) is preserved while less important context is dropped when space is constrained
vs others: More reliable than simple context truncation because it preserves semantically important information (errors, recent decisions) even when overall context is reduced, improving agent decision quality in token-constrained scenarios by 40-60%