you can build the entire "AI team" setup gurus charge $500 courses for with four free repos [ the stack ] 1. ruvnet/ruflo the "runs 60 agents at once" orchestrator. plugs into Claude Code and splits research, coding, and testing across parallel agents. top of GitHub trending for a reason 2. garrytan/gstack YC president's open starter. a clean, opinionated foundation so your agents build on real structure instead of guessing your architecture. my own product started from this exact repo 3. Alorse/cc-compatible-models the cheat sheet for running Claude Code on cheap models: DeepSeek, Qwen, MiniMax, Kimi, GLM. configs and pricing for every single one. this is how your limits stop mattering 4. jaredrhod/ai-memory-vault ready templates for agent memory: your setup stops forgetting what it did yesterday and starts compounding orchestration, foundation, cheap engines, memory. that's a full org chart for $0 which repo did i miss? best replies go into part 2