Enterprise AI agents fail because they forget

Rippletide is pitching decision context graphs as a better memory layer for enterprise AI agents than standard RAG.

The framework stores rules, applicability, and timing so agents can make explainable, time-aware decisions.

It aims to let agents safely build on prior validated actions instead of repeating or compounding mistakes.

The piece argues retrieval alone is not enough for production workflows, where errors need to be traceable and bounded over time.