aimemory

Use aimemory to store this user's long-term preferences: prefers concise answers, uses Chinese, and focuses on SaaS product growth; before future replies, retrieve relevant memories and use them in the response.

The AI stores user preference memories and retrieves them later for personalized responses.

Automatically extract key information from the following interview notes and store it in aimemory as semantically searchable memories grouped by topic: user pain points, common terms, competitor names, and hypotheses to validate.

The system extracts structured insights into a memory store for later retrieval and reuse.

Use aimemory to retrieve historical memories related to pricing strategy, mark outdated items, apply memory decay, and keep only still-valid information from the last three months for this analysis.

The AI filters stale memories, preserves valid context, and reduces outdated information in results.