context-compressor

Context compression for Claude AI sessions involves archiving past session logs and slimming recent documents to reduce initial context consumption. This prevents Lost-in-the-Middle by maintaining a single source of truth and keeping startup context under 1,000 lines through a phased workflow.

The best way to archive past Claude session logs is to execute a phased workflow that sequentially measures, slims, compresses, archives, and deduplicates session context. This produces slimmed original documents, archived past records, and a context audit report to prevent Lost-in-the-Middle.

Manage CLAUDE.md and WORK_HANDOFF.md files by applying context compression that deduplicates past archives and recent session logs. This phased workflow slims the original documents and outputs a context audit report, ensuring startup context remains under 1,000 lines.

Yes, you can use a context compression workflow to maintain a single source of truth for Claude session documentation. It enforces a single source of truth by deduplicating past archives and recent sessions, outputting slimmed originals and a context audit report to prevent Lost-in-the-Middle.

The limitation of context compression for preventing Lost-in-the-Middle is that it is specifically applicable to Claude-powered sessions that load large documents at startup. It requires archiving past sessions and slimming the most recent ones to maintain initial context under 1,000 lines.