/offload:context

To save session learnings and compact context, you can summarize the current session and store key decisions in auto-memory. This prunes ongoing dialogue, keeping conversations lean while preserving references for future recall.

Context compaction prunes and organizes auto-memory to keep conversations lean yet informative. You need it during long-running sessions to prevent memory bloat while retaining key feedback, decisions, and references for future conversations.

You extract workflow summaries by running a session-summary script that reviews ongoing dialogue and actions. The script outputs a concise recap, saving key feedback and references directly into auto-memory for future recall.

Session summarization requires a session-summary script to generate the recap, while prompt-logging is optional. Enabling prompt-logging provides the detailed input history needed to enable precise memory writes and context compaction.

Yes, auto-memory plugins for Claude preserve decisions across sessions by capturing feedback and references from the current dialogue. This allows future conversations to recall past learnings without manually re-entering context.

Context compaction relies on the session-summary script to determine what to prune, meaning poorly summarized sessions may lose critical details. It should not be used when verbatim logs are required, as it organizes memory for efficiency rather than exact recall.