Temporal Aware AI memory: Why time is a key in a memory
Temporal Aware AI memory: Why time is a key in a memory
Why is time all you need?
About the Book
When we started building AI memory for the personal assistant agent, it was quite straightforward. We used knowledge graphs, and everything was heavy, and it was super easy. You could find a lot of articles on how to turn conversations into graphs. But we noticed quite quickly that after a couple of weeks of the honeymoon period, users started giving us bad feedback, and we also noticed that something wasn't working in the memory.
This non-working component was actually time awareness, because the LLM or the agent didn't know what happens when, and whether it was relevant information or not. Memory is actually quite complex and temporal, and we differentiate between past and future and what's more important.
So this book is actually about time and temporal awareness in memory—how to make the LLM and agent understand time, and how to actually make knowledge graphs temporal. Yes, exactly—knowledge graphs, because knowledge graphs actually matter and they are the core of memory. You'll also learn about events and how to build proper episodic memory, why events are important, and together with time, we'll talk about causality and why causality relations are so important for the agent primarily. So it's a book about causality and time.
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Table of Contents
- What it is About
- About Book
- About Author
- About Cover
- AI Memory
- Why own memory Systems
- Why You Should Build Memory System for AI Agents
- AI Memory is Not RAG, RAG is Not Enough for AI Agents
- The Human Brain
- How memory work
- How Brain see time
- Semantic memory
- Episodic memory
- How brain forget
- Construction of Recal
- Memory mutation and rewriting
- Post Human Memory
- Temporal Memory challenges
- The Temporal Challenge
- Temporal Modeling Foundations
- Time-Aware Personal Knowledge Graphs
- Evolution of Knowledge Graphs and AI Agents
- Time-Aware Knowledge Graphs for Episodic Memory
- Temporal Semantics for AI Memory Agents
- Advanced Temporal Representations
- Event Graphs: Modeling Reality’s Temporal and Causal Fabric
- Event Graphs as Self-Referencing DAGs
- Entity-State Model and Event Graphs for Time-Aware AI Agents Memory
- Advanced Graph Structures
- Beyond Traditional Graphs
- Temporal Relationship Reification in Conceptual Modeling
- Temporal Reasoning and Analysis
- Temporal Reasoning in AI Agent Memory: Allen’s Interval Algebra and Event Graphs
- Relations Between Events in AI Memory: From Temporal to Causal Understanding
- Relations Between Events in AI Memory: From Temporal to Causal Understanding
- Implementation and Systems
- Synergy in Time: Combining Anchor Modeling and 6NF for Robust Temporal Databases
- Time Traveling for Knowledge Graphs and AI Agents
- The Role of Logs and Append-Only Storage
- Time Travel for Property Graphs
- Time Travel for Property Graphs with Layered Graphs
- Personal Graphs
- Semantic Space Time
- Time
- Memory Ontology Design
- Semantic space as a biparty concept Graph
- FARO
- Time Tree
- Abstract time
- Validity
- Events , Facts DAGs
- Supersiding
- Temporal Relations
- Causality Relations
- What it is About
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