AI agents fail without context graphs—new memory system captures decision-making history, rationale from scattered Slack threads, emails, calls to prevent billion-dollar organizational memory loss.

Context graphs: how AI agents remember why decisions were made

In AI agents, a context graph is the part of agent memory that captures decisions.This post explains why agents need to capture decisions, how context graphs achieve this, and how agents can use these graphs.An agent failure caseIt's the last week of the quarter. A renewal agent is working a $480k account. The customer wants 20% off or they walk. The agent's instructions state >$100k accounts should not churn, but the agent's policy caps renewals at 10%. Now what?If a human was handling this, th...