pai-memory

You can store and recall persistent personal context across chat sessions by using a unified memory system that supports static identity, progressive disclosures, and local structured memory storage for fast recall.

A knowledge graph for personal data maps connections between people, projects, and events, enabling graph-based reasoning and complex relationship queries to support cross-session recall and relationship insights.

Yes, semantic search allows you to find past notes and track personal goals by indexing personal data in a local or secured environment, enabling fast keyword recall across past conversations.

To add new facts to long-term memory, you ask the memory system to store the information, which then organizes it into a structured knowledge graph and search index for later relationship queries.

A unified memory system can operate in a local or secured environment without external dependencies, managing structured memory storage, search indexing, and graph-based querying entirely on its own.

The best way to track personal relationships and project connections over time is using a knowledge graph that structures progressive disclosures and static context, allowing you to query complex relationships across sessions.