Personalization
8 articles about personalization.
Brain MCP - Persistent Memory That Remembers How You Think
Traditional AI agent memory stores facts. Cognitive-state aware memory stores how you reason, what you prioritize, and how you make decisions. This is the
Giving AI Agents Persistent Context from Browser History and User Data
Every new AI agent session starts from zero. How to build persistent context from browser history, file access patterns, and user data so agents understand
Your AI Agent Needs Persistent Memory That Grows with You
Chat history is not memory. Real AI agent memory means a local knowledge graph that learns your contacts, habits, and preferences over time - not just what
Memory Is the Missing Piece in Every AI Agent
Why AI agents that forget everything between sessions are fundamentally limited, and how a local knowledge graph changes the experience.
An AI Assistant That Actually Learns How You Work Over Time
Most AI assistants reset every session. A persistent knowledge graph that indexes contacts, habits, and app usage anticipates your needs after two weeks.
Data Quality vs Data Volume for AI Agent Memories: Why Fewer High-Quality Memories Win
We extract user memories from browser history for our AI agent. The lesson? Data quality beats data volume every time. Here is how we learned to filter
Voice Computer Control Gets Better with Persistent Memory
Voice-first desktop agents are the right interface, but voice without memory means repeating yourself every session. Persistent memory makes voice control
Skill Templates vs Agents That Learn - Two Approaches to Desktop AI
Skill templates give structure for common tasks. But agents that learn your habits over time build their own understanding of how you work.