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To preserve project context across AI sessions, use a working memory management layer to capture active threads, decisions, and handoff details. This prevents important information from being lost between interactions by maintaining temporary notes and structured records.

Creating a session handoff summary involves capturing ongoing work, decisions, blockers, and next actions into scoped notes. This approach ensures future sessions can continue efficiently without needing manual notes or replaying previous conversation history.

Working memory management separates temporary project notes from permanent records by keeping active threads in a lightweight layer while storing stable information in artifacts and structured profiles. Scoped context storage ensures project-specific notes remain distinct from user-level preferences.

You need scoped notes for cross-session workflow continuity when a long development or research task spans multiple interactions. This approach preserves active threads and evolving tasks without maintaining manual notes or losing context between sessions.

To prune temporary project notes without losing important records, apply lifecycle handling and confirmation rules during memory cleanup. This ensures active threads are resolved appropriately while stable information is promoted into permanent structured memory profiles.

Yes, session continuity notes support both project workflows and user preferences by separating project-specific context from reusable user-level settings. Stable information from either scope can be promoted into structured memory for future use.