getmem.ai Memoryv1.0.2

An AI support agent that remembers each customer's previous issues, preferences, and solutions across sessions. The agent calls mem.get() before each interaction to retrieve relevant history, then ingests the new conversation to update memory, providing seamless continuity.

An educational AI that adapts to a student's knowledge gaps and learning pace over weeks. It remembers past lessons, mistakes, and mastered topics, using mem.get() to tailor explanations and exercises, and mem.ingest() to track progress after each session.

A wellness AI that maintains a persistent profile of user health goals, diet logs, exercise routines, and progress. It recalls past advice and user preferences to offer consistent coaching, reducing repetitive setup each session.

A sales AI agent that remembers past interactions with leads, including objections, interests, and follow-up status. By injecting relevant memory before calls, it personalizes pitches and tracks the deal pipeline across multiple conversations.

An AI helper that maintains a coherent memory of a user's ongoing projects, research topics, and references. It retrieves relevant notes and prior discussions to provide informed assistance, and ingests new findings to expand its knowledge base.

Charge customers per API call (mem.get and mem.ingest) or per token retrieved. Users pay for the exact amount of memory used, with tiered pricing for high-volume applications such as large-scale customer support.

Integrate getmem memory into existing SaaS products (e.g., CRM, LMS) as a premium add-on. Customers pay an extra monthly fee for persistent memory capabilities that enhance their AI assistant's performance.

Offer the memory infrastructure as a white-label solution for enterprises to build their own AI agents with persistent memory. Enterprises pay a flat monthly fee plus variable usage costs, with SLAs and dedicated support.