Klavis.ai is an enterprise-grade AI observability agent that unifies logs, metrics, traces, and events into a single AI-driven layer. It supports connectors for Prometheus, Elastic, Grafana, AWS CloudWatch and more. Teams can ask natural-language questions about system health, receive instant anomaly alerts, and get guided remediation steps. Its AI models correlate data across services to pinpoint failures, reduce alert noise, and proactively surface performance issues before they impact users.

MultiLang Status Agents is an open-source AI agent framework demonstrating how to build and deploy cross-platform status-checking agents using multiple programming languages. It provides code samples in Python, C#, and JavaScript that integrate with Semantic Kernel and OpenAI GPT APIs to query service health or status endpoints. The framework standardizes agent workflows, including prompt construction, API authentication, result parsing, and summarization. Users can extend or customize agents to add new service integrations, modify language prompts, or embed status agents within web applications and admin panels. By abstracting language-specific implementations, the framework accelerates development of consistent, AI-driven monitoring tools across diverse tech stacks.