Build Agents that never forget (12 minute read)

LLM agents fail without structured memory because stateless calls lose context, break multi-step tasks, and force repeated mistakes. Vector search alone cannot answer multi-hop questions, so Cognee combines relational, vector, and graph s to preserve provenance, meaning, and relationships. The framework exposes four async calls to ingest, structure, refine, and retrieve memory, enabling agents to persist knowledge, link entities, and improve over time.