Agent Context Compaction: How pi and Claude Code Implement Compression Strategies
The article analyzes context compaction for long‑running LLM agents, comparing pi‑mono and Claude Code approaches, detailing when, where, and how to compress, trigger mechanisms, multi‑step summarization pipelines, storage formats, reconstruction methods, and the trade‑offs between cost, latency, and summary quality.
