memory-recall

To recall past session preferences, you can retrieve remembered decisions and meta-information from memoir to influence current tasks and reduce repeated questions. This mechanism guides the agent to surface relevant facts and apply them to your current prompt.

Retrieving design conventions across iterations involves fetching remembered preferences and session highlights from memoir by semantic taxonomy paths. This returns concise values for downstream prompts, ensuring consistency across sessions and guiding design reviews.

Yes, you can batch fetch session history and meta-information by semantic taxonomy paths. This approach retrieves concise remembered values from memoir, allowing downstream prompts to process multiple relevant facts simultaneously without manual context switching.

Past sessions and preferences influence current task prompts by retrieving remembered facts from memoir to guide decisions. The agent surfaces the most relevant meta-information, conventions, and design choices, applying them directly to the current prompt processing.

Yes, you need a memoir to use memory recall, as it serves as the source for retrieving remembered preferences, decisions, and session highlights. Without a memoir, the agent cannot surface past meta-information to inform your current tasks.