•8 min
Context Compaction for Long-Running AI Agents
Long-running AI agents fail when context grows without bound, blowing up token costs, latency, and reliability. Here is how anchored summarization and server-side compaction keep agents cheap and coherent.
AI Agents
Context Engineering