Local-First AI Infrastructure
P1Architecture prioritizing local LLM execution (Ollama) with intelligent routing to cloud, optimizing for cost, latency, privacy, and offline capability.
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Recommended entry points for exploring this thread.
Hybrid Local/Cloud LLM System README
A production-grade routing system that cuts LLM costs by 95-99% - complexity scoring routes simple queries to free local Ollama models while sending complex reasoning to Claude, with RAG semantic search, real-time monitoring, and 10 MCP tools for Claude Desktop integration
Local Open Source LLM Options
The complete guide to running local LLMs on an RTX 5070 with 12GB VRAM - model recommendations by task type, inference engine comparisons, quantization strategies, Claude Code integration patterns, and the multi-model architecture that handles everything from free coding assistance to privacy-first document processing
Research Report 6.2: Hybrid Architectures
Your LLM can write poetry but can't reliably add two numbers - hybrid architectures solve this by routing each subtask to the system that actually handles it well