Your infrastructure.
Your rules.
Your AI SRE.
Mezmo’s AURA is an open-source agentic harness purpose built to elevate your team and manage your infrastructure. #RuleProd
The hard parts, built in from day one
Agent specialists
Agent workers split complex incidents into investigation, validation, and synthesis.
No guesswork
Agents work from telemetry, runbooks, service context, and incident history, not raw MCP noise.
Validated output
A self-checking loop inspects evidence, retries when needed, and evaluates findings before handoff.
Human-in-the-loop control
Risky actions stay reviewable before they touch production.
Observable and auditable
Trace every prompt, tool call, decision, evidence path, and result.
#RuleProd
AURA gives teams an operating environment for agents in production.
The context, control, and audit trail to run AI SRE workflows on your terms.
Your models. Your data. Your rules. Your environment.
The context, control, and audit trail to run AI SRE workflows on your terms.
Your models. Your data. Your rules. Your environment.
Resources
Blog posts and other materials about AURA and AI SRE.
AURA on GitHub
AURA on GitHub
Start today from the open source repo
The runbook problem
The runbook problem
How AURA documents what teams don't have time to write
AURA in practice
AURA in practice
Real-world use cases for production AI agent infrastructure
Why?
Why?
Why we open sourced AURA
What AI needs
What AI needs
Why the open source project AURA is critical in the AI era
Building AURA
Building AURA
The story of the agentic open harness for production AI
@2025 Copyright Mezmo Inc.