Vector, Graph, or Key Value? Choosing Your Agent's Memory

Your agent works in the demo, then forgets everything the next day. The model is not broken: models are stateless by design, and memory belongs to the harness you build around them. Bigger context windows do not fix it. Re sending full history burns tokens every turn and still vanishes between sessions. This talk maps the agent memory landscape through one question asked four ways: retrieval by key, by meaning, and by relationship. You will learn when key value, vector, graph, and hybrid memory each win, plus the capabilities layer on top: selective memory, hygiene against dirty and poisoned entries, and reasoning memory for auditable decisions.