Developer builds zero-cost local AI agent stack using NVIDIA, Groq and Windmill

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A developer documented building a fully local AI agent stack on a personal Windows machine — an i7-8700K with 32GB RAM and an RTX 3080 — at no monthly cost. The setup uses Windmill for orchestration, NVIDIA NIM and Groq free tiers for model inference, and Hermes by Nous Research as the agent interface via Telegram and a local CLI. To work around NVIDIA's 40-requests-per-minute free-tier limit, the developer built a key rotation proxy that cycles through ten API keys and cascades across six models on failure. Key challenges included model hallucination on long contexts, broken tool-call responses from the proxy, and dropped server-sent event streams, each of which required targeted fixes. The article positions the build as a practical alternative to paid cloud APIs, which the developer found expensive and subject to unpredictable rate limiting.

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