microsoft/AIOpsLab
AIOpsLab is a comprehensive framework for designing, developing, and evaluating autonomous AIOps agents, providing reproducible and scalable benchmarks for AIOps solutions.
Awesome AI for Infra › AI-Powered Automation
mezmo/aura
AURA is an agentic harness designed to transform Large Language Models (LLMs) into reliable, autonomous services capable of executing real Site Reliability Engineering (SRE) tasks. It provides the essential infrastructure for running AI SRE agents safely and effectively in production environments. Key features include guardrails to ensure safe operation, API servers for interaction, robust state management, authentication mechanisms, and streaming capabilities. AURA facilitates dynamic tool discovery through its Model Context Protocol (MCP) integration, supporting HTTP streamable, SSE, and STDIO transports. It also handles automatic schema sanitization for compatibility with OpenAI function-calling, and includes vector search integration with Qdrant and AWS Bedrock Knowledge Base. The project's architecture supports declarative agent composition via TOML, multi-provider LLM support, and the serving of multiple agents. It boasts a Rust-based core, independent of the configuration layer, and supports multi-agent orchestration through a coordinator/worker architecture with DAG-based parallel execution. AURA also features dependency-aware multi-wave execution with plan/execute loops and supports the A2A protocol for agent-to-agent interoperability. For observability, it supports OpenTelemetry and integrates with tools like Phoenix for trace inspection.
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