Overview
This workshop is designed to push graph-based agent memory beyond its original proof of concept, addressing two questions that remained open after the NODES AI session: does the architecture hold when an agent is truly autonomous rather than following a pre-defined workflow, and does the learning it captures actually generalise into durable, transferable reasoning patterns? You will explore both questions through value investing as a concrete, demanding domain - Agents answering complex questions about companies and their competitive landscape, including ownership structures, peer comparisons, financial ratios, and market positioning.
