memory

You can persist user preferences across sessions by storing key user information in a dedicated memory directory. This allows the assistant to retrieve saved background facts and preferences to maintain context in future chats.

Flock-based locking is a file locking mechanism used to prevent data races. It ensures safe concurrent access by restricting simultaneous updates when multiple chat sessions attempt to write to the same memory file at once.

Organize cross-session memory by structuring data into separate markdown files such as user_profile.md, project_context.md, preferences.md, and notes.md. This stores specific user details for quick retrieval during conversations.

Yes, you can use a memory_lock with flock-based locking to prevent data races. This ensures safe concurrent writes by locking the file during updates when multiple sessions attempt to modify user context simultaneously.

Yes, this cross-session memory approach works without external dependencies. It relies on a memory directory from SESSION_CONTEXT.md and standard flock-based file locking, requiring no additional components or packages.