Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI

Builds an OpenAI-powered autonomous agent from abstract interfaces to a working framework.

Uses hybrid memory: embeddings for semantic search and BM25 for keyword retrieval.

Routes actions through a modular tool loop, letting the agent decide when to call tools.

Shows how to store and retrieve long-term memory so the agent can keep state over time.