Eros – Episodic memory for autonomous AI agents

Summary: Eros provides a memory layer called the Episodic Plan Cache that enables AI agents to reuse successful past plans instead of generating new ones for recurring tasks. This reduces execution time and improves consistency by hydrating proven plans when similar intents are detected.

What it does

Eros indexes outcomes of previous executions and retrieves relevant plans in milliseconds, allowing AI agents to avoid starting from scratch on repeated tasks. It creates a reflexive memory to speed up and stabilize agent behavior.

Who it's for

It is designed for developers and researchers building autonomous AI agents that require efficient, consistent task execution over time.

Why it matters

It addresses the problem of stateless AI agents being slow and unpredictable by enabling active learning and memory-based plan reuse.