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Repositories in this selection 11 · UTC 2026-11-03
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1—Iinfracost / infracostCloud cost intelligence for engineers, AI coding agents, and CI/CD 💰📉 Shift FinOps Left!GoApache-2.0 · PermissiveInsufficient rank history12,605701——2026-11-02
2—Sskypilot-org / skypilotThe AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.PythonApache-2.0 · PermissiveInsufficient rank history10,7851,328——2026-11-03
3—NNetflix / metaflowBuild, Manage and Deploy AI/ML SystemsPythonApache-2.0 · PermissiveInsufficient rank history10,3361,388——2026-10-29
4—Oopencost / opencostCost monitoring for Kubernetes workloads and cloud costsGoApache-2.0 · PermissiveInsufficient rank history6,802916——2026-10-29
5—BBlockRunAI / ClawRouterThe agent-native LLM router for autonomous agents. Every frontier model behind one wallet, <1ms local routing, USDC payments on Base & Solana via x402.TypeScriptMIT · PermissiveInsufficient rank history6,649653——2026-11-03
6—Vvantage-sh / ec2instances.infoAmazon EC2 instance comparison siteTypeScriptMIT · PermissiveInsufficient rank history5,776624——2026-10-30
7—Mmicrosoft / TokenEconomizerExperience-Driven Black-Box Cost Control for Coding AgentsPythonApache-2.0 · PermissiveInsufficient rank history4,423256——2026-11-01
8—Mmlabouardy / komiserOpen-source cloud-environment inspector. Supporting AWS, GCP, Azure, and more! Your cloud resources will have nowhere to hide!GoNOASSERTION · Restricted / unknownInsufficient rank history4,151454——2026-09-10
9—Llemony-ai / cascadeflowCascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.PythonMIT · PermissiveInsufficient rank history3,930880——2026-09-25
10—Iinfracost / vscode-infracostSee cost estimates for Terraform right in your editor💰📉TypeScriptApache-2.0 · PermissiveInsufficient rank history1,83555——2026-11-01
11—Rrealopslabs / kubeledgerAuthor description: System of Record for Kubernetes cost accounting: per-namespace CPU, memory and GPU usage, with the 30% non-allocatable overhead made visible. Connects to AI assistants via MCP (Claude, Gemini, Mistral, Cursor) for plain-language analysis. Formerly Kube-Opex-Analytics.PythonNOASSERTION · Restricted / unknownInsufficient rank history48456——2026-08-19
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