memory

You can persist user behavior memory by using a CLI to append behavioral rules to USER.md and factual data to a knowledge graph, ensuring all updates pass through a memory engine that enforces deduplication and routing.

The best way to prevent race conditions during shared channel memory updates is to use a memory engine that implements safe, atomic file writes with locking, ensuring data integrity for CHANNEL.md files across collaborative contexts.

Yes, this memory management approach supports an audit trail. It tracks all memory updates and supports rollback by logging changes made through CLI commands like append, add-heading, and remove, ensuring safe and auditable modifications.

You add a behavioral rule under a specific section by executing a CLI command such as `memory append --heading "Communication style" --line "Keep replies concise"`, which routes the instruction safely into the structured USER.md file.

Yes, you can isolate user memory from shared room context. The system maintains separate USER.md files for personal behavioral instructions and CHANNEL.md files for shared-room context, keeping user memory isolated while supporting collaborative environments.

You need atomic file writes for knowledge graph data when multiple processes or users might modify memory concurrently. This approach uses locking to prevent race conditions and ensures data integrity during structured memory updates.