add-compact

To reduce conversation history length, you can use a manual compaction command that intelligently summarizes past interactions. This condenses the historical data the AI processes, improving performance while keeping the session active.

Context rot occurs when extended AI conversations become unmanageable due to excessive history. Compaction prevents this by archiving the transcript and replacing it with a summarized context, ensuring the dialogue continues seamlessly without degradation.

Preserving session state during context clearing requires summarizing the conversation rather than executing a hard reset. This compaction approach retains the critical information at the forefront, allowing the session to continue seamlessly.

Yes, context compaction can be authorized exclusively for the main group or trusted and admin senders. This security measure ensures that only designated users can trigger the conversation history summarization process.

You should use a context compaction command during multi-day debugging sessions when historical data overwhelms the AI. It keeps the most critical information at the forefront without losing the thread of the conversation.

Yes, conversation compaction archives the full transcript before summarizing the context. This ensures the original dialogue is preserved securely while the active session continues with a condensed and optimized history.