Show HN: OSS Cross-Harness self hosted registry and analytics for AI Agents

Summary

██████╗ ██████╗ ███████╗███████╗██████╗ ██╗ ██╗ █████╗ ██╗ ██╔═══██╗██╔══██╗██╔════╝██╔════╝██╔══██╗██║ ██║██╔══██╗██║ ██║ ██║██████╔╝███████╗█████╗ ██████╔╝██║ ██║███████║██║ ██║ ██║██╔══██╗╚════██║██╔══╝ ██╔══██╗╚██╗ ██╔╝██╔══██║██║ ╚██████╔╝██████╔╝███████║███████╗██║ ██║ ╚████╔╝ ██║ ██║███████╗ ╚═════╝ ╚═════╝ ╚══════╝╚══════╝╚═╝ ╚═╝ ╚═══╝ ╚═╝ ╚═╝╚══════╝ Observal is the control plane and system of record for internal AI components If you find Observal useful, please consider giving it a star. It helps others discover the project and keeps development going. What is Observal and what does it solve? Observal is the control plane and system of record for internal AI components. Every tech-forward organization today creates internal Skills, Agents, MCP servers and other AI components to boost productivity. Though the creation of these components has been prolific, the adoption and usage of such components is sparse. Developer/AI users today end up creating their own version of AI components without reusing existing packages. The cause is largely due to two problems: Lack of a discoverability layer Organizations store their AI components and agents in siloed github repositories with little to no documentation. Users are not able to locate similar components and this results in multiple developers creating the same/similar components again. Missing feedback loop Any software where usage patterns are not understood and the principle of user-centric development is violated tends to fade out. Such is the problem with development of MCPs, Skills and Agents. Developers publish and maintain these components with little visibility into how they're actually used. Additionally, AI failures don't trigger static error codes: they hallucinate or provide subtly incorrect answers. This leaves users clueless about what went wrong compounding the feedback problem. Observal solves this by providing a centralized discovery layer for AI components alongside useful insights into AI usag...