I was paying $340/month to watch my AI agents. So I built my own monitoring layer that costs nothing.

At some point I added up what I was actually spending to run my AI setup. Datadog, cloud logging, a couple monitoring SaaS tools. $340 a month. And none of it could tell me why my agent gave a confident wrong answer for six hours straight without a single alert. The logs said nothing. The agent just kept going. By the time I caught it manually, it had already run hundreds of inference calls that were completely useless. That's when I stopped paying for monitoring and just built my own. What I built It's a 6-agent swarm running fully local on my RTX 4060 via Ollama. No OpenAI. No Anthropic. No cloud anything. The agents aren't just doing tasks - they monitor each other. Every cycle, each agent scores the others based on output quality, drift, and coherence. The results go into a reward model that adjusts weights for the next cycle. By generation 72 it's catching things I never would have noticed manually - drift in model output, agents silently looping, quality dropping before it become