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6/26/2026
The Day My Research Assistant Finally Got a Memory

The Day My Research Assistant Finally Got a Memory

Short summary

A developer built a research assistant using persistent memory (Hindsight) to avoid duplicate paper suggestions and intelligent routing (cascadeflow) to choose cheaper models for simple queries, reducing costs by 70%. The tutorial provides Python implementations for memory storage, query routing, and cost tracking. Useful for builders optimizing AI agent economics.

  • •Memory system prevents duplicate recommendations using embedding search
  • •Model routing reduces costs by 70% by choosing models based on query complexity
  • •Complete Python implementation with cost tracking and runtime intelligence

Generated with AI, which can make mistakes.

#ai-agents#ai-tools
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