SQL Memoryv2.2.0

An AI assistant for an individual uses SQL Memory to remember user preferences, past conversations, and important facts. It can recall user's timezone, recent tasks, and personal milestones to provide personalized responses. The memory rollup mechanism ensures long-term retention of critical information while archiving ephemeral details.

A customer support AI agent stores troubleshooting steps, product knowledge, and past resolutions in the knowledge index. Agents can search for relevant solutions and log all interactions for audit trails. This reduces resolution time and maintains consistency across support interactions.

In a multi-agent system, agents queue tasks for each other using the task queue API. For example, a scheduling agent queues a 'send report' task for the reporting agent with priority level. The system ensures tasks are claimed, executed, and completed with retry logic in case of failures.

Healthcare AI agents log every event, such as patient data access or treatment recommendations, for compliance and audit trails. The activity log provides a tamper-evident record of actions, and the memory can store important clinical facts with high importance scores.

Research teams use the semantic search and knowledge indexing to store and retrieve domain-specific knowledge, such as rare stamp catalog entries in philately. The hierarchical memory rollups summarize daily findings into weekly and monthly digests, making it easy to review progress.

Offer a cloud-based AI assistant that leverages SQL Memory to deliver persistent memory and task management as a service. Users pay a monthly subscription per agent or memory storage per GB.

Sell a knowledge management system that uses SQL Memory for semantic search and rollups. Target enterprises requiring compliance-ready logging and curated knowledge bases.

Provide SQL Memory as a backend service for third-party AI agents. Developers integrate via API and pay per transaction (remember/recall/search) or a flat monthly fee.