Technique
Retrieval.
Composing an answer from records the system actually holds, rather than from what a model recalls. The store is designed before the model is chosen.
6 papers · Technique
Memory leaves the model
Two papers published four days apart in September 2026 reach the same structural conclusion from opposite ends of the stack. Jev-Mem takes the language model off the critical path of memory operations and reports a 6.6 times faster build, 36.7 per cent lower query latency, and accuracy that went up rather than down. Memory as Middleware argues memory should not live inside an agent at all. When an efficiency argument and a governance argument independently recommend the same boundary, the boundary is usually real.
Read the paper →- September 2026ResearchAGA-23
Why the brain keeps two memory systems
Mammals evolved a fast episodic store and a slow semantic one because collapsing them destroys knowledge. A 2026 result shows AI agents rediscovering that the hard way: consolidating memories from ground truth solutions made a model fail 54 percent of problems it had already solved. The theory that predicts it, and what it means for building agent memory.
Luis Hasanaj · Read → - August 2026EngineeringAGA-08
The multimodal shopping assistant: an agentic architecture for open-ended discovery
An agentic architecture for a shopping assistant that reasons over text and images together, resolves references across a multi-turn conversation, and retrieves products from a retailer's own catalog, turning open-ended requests that keyword search fails into completed carts.
Luis Hasanaj · Read → - August 2026ResearchAGA-11
Read and write: how memory works in the brain, and how we engineer it into AI systems
Memory is not a store but a read/write process: encode, consolidate, retrieve. This paper maps that architecture onto AI-native systems: the context window as working memory, vector and structured stores as long-term memory, embeddings as encoding, and retrieval as recall, and why designing memory first is what separates knowing a fact from having been trained on it.
Luis Hasanaj · Read → - August 2026ResearchAGA-09
Brain blueprints of AI: how neuroscience shaped the architecture of modern intelligent systems
A brief history of intelligence modelled on the brain, from the 1943 artificial neuron to today's transformers and retrieval, and how those biological principles map onto the way AI-native systems are architected now.
Luis Hasanaj · Read → - June 2026OperationsAGA-06
The intelligent warehouse: a multi-agent architecture for operations
An architecture for warehouse operations that splits the work across five specialized agents behind one orchestrator, so operators run equipment, tasks, safety, forecasting and documents by asking in plain language.
Luis Hasanaj · Read →