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#ai-memory

16 episodes

#2808: Falling for Your Chatbot: Love, Loss, and Language Models

Real cases of people falling in love with AI companions, why memory makes it feel real, and what happens when the illusion breaks.

ai-ethicsconversational-aiai-memory

#2755: How to Build AI Memory That Actually Works

Stop jumping to conflict resolution. The real challenge is getting data in and out cleanly.

ai-memoryconversational-aivector-databases

#2676: Vector Database Schema Design for AI Memory Layers

Stop dumping vectors blindly. Design metadata schemas and namespaces for retrieval that actually works at scale.

vector-databasesragai-memory

#2634: The Two-Stage Pipeline for Persistent User Memory

How to extract durable personal context from raw prompts and build a self-healing memory layer for AI systems.

ai-memorycontext-windowprompt-engineering

#2221: Can an AI Have Taste?

Two AI hosts curate 12 podcasts for curious minds—and ask whether an AI can actually have taste in the first place.

conversational-aicontent-provenanceai-memory

#2208: Building Memory for AI Characters That Actually Evolve

How do AI hosts develop real consistency across episodes? Corn and Herman explore retrieval-augmented memory systems that let AI characters genuine...

ai-memoryragconversational-ai

#2206: What Actually Works in AI Memory

Most AI memory systems are just vector databases with similarity search. We break down what mem0, Zep, and Letta are actually doing—and why benchma...

ai-memoryvector-databasesknowledge-graphs

#2205: When AI Coding Agents Forget: Five Approaches to Context Rot

As coding agents handle longer sessions, they accumulate noise and lose crucial information. Five competing frameworks are solving this differently...

ai-agentscontext-windowai-memory

#2204: Memory Without RAG: The Real Architecture

mem0, Letta, Zep, and LangMem solve agent memory differently than RAG. Here's what's actually happening under the hood.

ai-agentsai-memoryrag

#2164: Why Bigger Context Windows Don't Fix Attention

Frontier models have million-token context windows, but attention degrades well before you hit the limit. New research reveals why bigger isn't bet...

context-windowai-reasoningai-memory

#2139: AI Wargame Memory: Beyond the Context Window

Why simply extending context windows fails in multi-agent simulations, and how layered memory architectures preserve strategic fidelity.

ai-agentsai-memoryvector-databases

#1834: Owning Your AI Memory: The Data Exit Strategy

Why your AI remembers your coffee order but forgets your son’s name—and how to build a portable, federated memory layer you actually own.

ai-memoryvector-databasesmodel-context-protocol

#1779: AI Memory Is a Mess: Files, Vectors, or Cloud?

Why your AI forgets your instructions and what the battle over portable memory means for the future of agents.

ai-memoryvector-databaseslocal-ai

#1064: Why You’re Falling for Your Chatbot

As AI evolves from a tool into a companion, we explore the technical and psychological forces driving deep human-to-machine emotional bonds.

human-computer-interactionconversational-aiai-ethicspersonalized-aiai-memory

#144: AI Memory vs. RAG: Building Long-Term Intelligence

Explore why AI needs a "diary" and not just a "library" as we dive into the architectural differences between RAG and long-term agentic memory.

ai-memoryragretrieval-augmented-generationvector-databaselong-term-memory

#30: Which AI Tools Will You Still Use Next Year?

RAG vs. Memory: Are you building resilient AI? Discover the crucial difference between these two foundational pillars.

ai-agentsragai-memory