White Stone Memoryv1.1.0

A research team uses the memory system to track project progress, log experimental errors, and share knowledge across agents. The error log ensures all agents learn from past mistakes, while project memory prevents cross-contamination between different research threads.

A development team employs the system to manage tasks, document daily reviews, and store project-specific knowledge. The on-demand loading of project memory helps maintain focus, and bilingual logging supports international teams.

An online tutoring platform uses the error log as a 'mistake notebook' to track student errors and lessons learned. Knowledge memory stores teaching methodologies, and daily reviews help tutors refine their approaches over time.

Content creators utilize the system to organize projects, log errors in production processes, and maintain daily insights. The bilingual feature ensures content can be adapted for multiple language markets efficiently.

A support team implements the memory to track common issues in the error log, load knowledge for standard procedures, and manage subagent tasks for handling complex queries. This improves response accuracy and consistency.

Offer the memory system as a cloud-based service with tiered pricing based on storage and vector search features. Revenue comes from monthly subscriptions, targeting teams needing collaborative AI agent management.

Sell on-premise licenses to large organizations for integration into their AI infrastructure. Includes customization, support, and optional vector search configuration for enhanced semantic capabilities.

Provide a free basic version with core memory categories, monetizing through paid add-ons like vector search, advanced analytics, and priority support. This attracts individual users and upsells to teams.