rising3월 18일· 2 sources
How I Built a Cognitive AI Layer That Routes Thoughts to the Right Brain
사고를 적절한 두뇌로 라우팅하는 인지 AI 레이어 구축기
Why it matters
The author built Akatskii, a cognitive AI layer that classifies inputs into five thought types and routes them to optimal LLM providers (Groq, Cerebras, Claude) based on complexity and cost. It uses regex-first routing for 80% of requests, an iterative agentic tool-execution loop of up to 15 steps, and memory compression to maintain context — achieving near-zero monthly cost for a 24/7 personal AI assistant.
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agentic loopakatskiiapi layercognitive architecturefastapigroqhindsight hackathonllm routingmcp toolsmemory compressionpydanticreact