Letta
Agent framework with memory management
Episodes
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#4786: Markdown vs Vectors for Agent MemoryWhy coding agents need two kinds of memory — and why mixing them creates a sync nightmare. -
#4092: How AI Remembers What You Never Told ItHow ChatGPT connected "wall anchors" to a power tool you bought days ago — without being asked. -
#2677: Memory Layers for AI Agents: SaaS vs Self-HostedZep, mem0, Letta, Graphiti, Cognee — which memory layer should you commit to for your AI agent? -
#2206: What Actually Works in AI MemoryMost AI memory systems are just vector databases with similarity search. We break down what mem0, Zep, and Letta are actually doing—and why benchma... -
#2204: Memory Without RAG: The Real Architecturemem0, Letta, Zep, and LangMem solve agent memory differently than RAG. Here's what's actually happening under the hood. -
#2010: Building Better AI Memory SystemsWe obsess over AI inputs but treat outputs like Snapchat messages. Here's why that's a massive blind spot. -
#1834: Owning Your AI Memory: The Data Exit StrategyWhy your AI remembers your coffee order but forgets your son’s name—and how to build a portable, federated memory layer you actually own. -
#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. -
#1708: Why Your AI Agent Forgets Everything (And How to Fix It)Learn how Letta's memory-first architecture solves the AI context bottleneck for long-term agents. -
#257: AI That Evolves: Solving the Preference ProblemWhy do AI recommendations feel stuck in the past? Discover the technical hurdles of real-time learning and the future of personalized agents.