Agent Observatory Earns a 56 Proof of Usefulness Score by Making AI Agents Observable Without Risk

This story was originally published on HackerNoon at: https://hackernoon.com/agent-observatory-earns-a-56-proof-of-usefulness-score-by-making-ai-agents-observable-without-risk. Agent Observatory is a fail-open observability library with a 56 Proof of Usefulness score, designed for AI agents and real-time streaming workflows. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #proof-of-usefulness-hackathon, #software-engineering, #hackernoon-hackathon, #observability, #production-ai-systems, #machine-learning, #open-source-ai-tooling, #real-time-streaming-systems, and more. This story was written by: @darshankparmar. Learn more about this writer by checking @darshankparmar's about page, and for more stories, please visit hackernoon.com. Agent Observatory is a lightweight, fail-open observability library that helps teams trace and debug AI agents in production without introducing new failure points or platform lock-in.