Agent Memory That Works Like Human Memory
Most agent memory systems are RAG in disguise. Hindsight is different. Hindsight allows agents to recall facts, remember previous interactions, and reflect on experiences to improve over time.
Dedicated memory pathways. Separates hard facts, past actions, and agent beliefs so behavior is easier to debug and refine.Built-in Learning. Self-reflection allows agents to learn from failures and successes to improve consistency and reliability.Temporal-aware retrieval. Prefers recent, relevant memories so agents stop reusing stale information and failed strategies.Personality-aware reasoning. Keeps agents’ risk tolerance and tone consistent across calls while still letting them learn.Biomimetic memory model. Uses human-inspired structures for facts, experiences, and observations instead of a single undifferentiated store.Model-agnostic memory layer. Lets you swap LLMs without erasing what the agent has learned over time.