Adaptive Recall Provides Persistent Memory for AI Assistants on MCP

Adaptive Recall was introduced in a Show HN post. It offers a persistent memory system for AI assistants. The memory layer operates on top of the MCP platform. It enables assistants to retain context across sessions. The solution aims to improve continuity in user interactions. Technical details describe how data is stored and retrieved. The project is accessible via its public website. Future work may explore scaling the memory for larger deployments.