Show HN: An agent that tunes its own cache

Category: library

Tags: cache, rag, llm-agent, self-tuning, valkey

Score: 6.3/10 (Innovation: 7, Technical: 7, Documentation: 5, Utility: 5)

This project implements a self-tuning multi-tier cache (exact-match and semantic via KNN) for RAG over Valkey/Redis/Dragonfly docs, with an agent that monitors and adjusts its own caching configuration from stored metadata. It's interesting because it demonstrates a closed-loop system where an LLM-driven agent can iteratively optimize cache behavior without human intervention, showcasing a novel approach to reducing LLM costs and latency.

Target audience: backend devs, data engineers, ai-ml engineers

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