Builder Adds Memory and Cost Controls to AI Research Assistant

A developer built a research assistant agent that remembers previously read papers and routes queries to cheaper models. The agent uses Hindsight for persistent memory and cascadeflow for runtime intelligence, cutting costs by using GPT-4 only for complex queries. Testing showed the agent could avoid recommending already-read papers and reduce API spending.