Agentic SRE by Mezmo is an artificial intelligence solution for Site Reliability Engineering (SRE) that automates root cause analysis for system incidents. It processes technical telemetry data in-stream to detect, diagnose, and remediate issues before the data is committed to backend storage. The system utilizes context engineering to pre-process raw telemetry through deduplication, clustering, and enrichment, creating structured context for AI models. A Model Context Protocol (MCP) connects these models directly to the curated telemetry, enabling the correlation of information across the technology stack.
The platform's architecture includes an MCP Server, a dedicated context engine, and is model-agnostic, supporting both native Mezmo agents and custom large language models. By reasoning over enriched data, the system performs debugging workflows, such as linking error rates to specific commits or service changes, and generates structured remediation guidance. The solution also incorporates role-based access controls to enforce data authorization, ensuring agents and users can only access logs and telemetry they are permitted to view.
