Jul 22, 2026

Claude for Long-Horizon Tasks — Lance Martin, Anthropic

Lance Martin from Anthropic shares insights into building reliable and secure long-horizon agents with Claude. He details architectural principles like decoupling the 'brain' from the 'hands' for reliability and security, implementing independent verifiers for self-correction, and developing advanced self-learning memory systems akin to human memory's in-band writing and offline 'dreaming' consolidation. The talk concludes with a vision for evolving agent harnesses towards organizational-level, proactive, and multiplayer capabilities.

Jun 26, 2026

Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI

Paul Iusztin and Louis-Francois Bouchard unveil their AI Research OS, a powerful system that transforms notes, documents, videos, and code repositories into a dynamic, personalized memory for AI agents. They detail a three-layered architecture (raw files, index, wiki) that efficiently manages context and enables continuous learning and evolution, addressing the limitations of static research and generic AI tools.

May 10, 2026

Hierarchical Memory: Context Management in Agents — Sally-Ann Delucia

The Arize team shares lessons from building their AI agent, Alyx, which analyzes its own trace data. They detail their journey from failed attempts like naive truncation and summarization to a successful strategy combining head/tail preservation with a retrievable memory store and using sub-agents to manage context complexity.

Sep 29, 2025

Underwriting Assist - A Multi Agent System // Somya Rai | Maria Zhang // Agents in Production 2025

Maria Zhang, CEO of Palona AI, and Somya Rai, Principal AI Engineer at EXL, discuss the architecture, scaling, memory management, and cost optimization of multi-agent systems in their respective domains of restaurants and insurance. They explore practical challenges, such as real-world bottlenecks and regulatory compliance, and share their technical stacks, including LangGraph, Ray, and NVIDIA platforms, for building robust and efficient agentic solutions.

Sep 15, 2025

AI Needs Memory - Here's How It Works

A deep dive into the architectural and economic foundations of memory for AI agents. The talk explores the core tradeoffs between classical data storage and dynamic agent behavior, introduces a human-inspired framework for memory, and discusses practical strategies and future directions for building reliable, evolving AI systems.

Sep 11, 2025

C++ Memory Management • Patrice Roy & Kevin Carpenter • GOTO 2025

A conversation with C++ expert Patrice Roy, author of 'Memory Management in C++', exploring the core principles of modern memory management. The discussion covers the pitfalls of over-allocation, the nuanced use of smart pointers, the importance of measurement before optimization, and when to consider custom allocators for peak performance.