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Ai memory

Stop Renting Your AI's Memory — Dylan Couzon, Qdrant

Stop Renting Your AI's Memory — Dylan Couzon, Qdrant

Dylan Couzon, developer relations engineer at Qdrant, argues that frontier-class models now run on hardware people can own, but the memory that makes an assistant personal still lives in someone else's cloud. He covers why owning inference gives autonomy while owning memory gives continuity, the CPU, RAM, and disk model for LLMs, why retrieval beats stuffing everything into the prompt, and a live offline demo of a drone building searchable memory with Qdrant Edge, plus opt-in shared memory.

Connecting the Dots with Context Graphs — Stephen Chin, Neo4j

Connecting the Dots with Context Graphs — Stephen Chin, Neo4j

Stephen Chin of Neo4j argues that traditional RAG is insufficient because AI agents lose the reasoning behind past decisions. He introduces Context Graphs as a solution to capture the 'why' behind decisions, creating a queryable system of precedent that provides grounded, explainable, and auditable results.

OpenClaw's Memory Sucks and the fix is simple — Dhravya Shah, Supermemory

OpenClaw's Memory Sucks and the fix is simple — Dhravya Shah, Supermemory

Dhravya Shah, founder of Super Memory, details the evolution of his company from a simple RAG-based consumer app to a sophisticated, open-source context infrastructure for AI, and introduces a novel hooks-based memory solution for OpenClaw.

923: Graph Algorithms, GraphRAG and Causal Graphs — with Graph Guru Amy Hodler

923: Graph Algorithms, GraphRAG and Causal Graphs — with Graph Guru Amy Hodler

Graph analytics expert Amy Hodler explores the power of graph data structures, covering fundamental concepts, graph algorithms like PageRank, and their application in fraud detection and supply chain optimization. She delves into the emergence of Graph RAG for enhancing AI systems and discusses the future of graphs as memory for AI agents and in causal inference.