Your infrastructure.
Your rules.
Your SRE agent.

Accelerate SRE work with AURA, an open-source agent that runs in your environment with your tools, telemetry, and operational context. Mezmo adds the governance, memory, and controls to scale trusted agent workflows in production.

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Everything SRE teams need to trust agent workflows in production

Mezmo gives SRE teams the structure, context, and controls to turn agents from connected tools into trusted production workflows.

Built for SRE work

Turn agent capabilities into operational outcomes.

Mezmo gives agents the workflows, tools, and production context they need to investigate, reason, and act on real operational work.

Specialist workers with isolated context for specific SRE tasks

Operational context curated before it reaches the model

Workflows mapped to measurable SRE outcomes

Connections to telemetry, infrastructure, runbooks, & operational tools

Less glue code between prototype and production workflow

Governed for production & trust

Control what agents can see, recommend, and do.

Mezmo gives SRE teams workflow-level control over agent context, memory, approvals, authority, and execution so teams can operate safely in production.

Workflow-specific authority boundaries

Full execution traces across recommendations, decisions, tool calls, and actions

Human oversight for privileges, approvals, and sensitive actions

Control over operational context, memory, and data use

Controlled progression from recommendations to approvals or trusted executions

Designed to scale

Expand workflows without losing context or control.

Mezmo supports coordinated SRE agents that investigate in parallel, validate findings, replan as conditions change, and operate across growing services, clusters, teams, volumes, and workflows.

Parallel investigation workers with validation and replanning

Concurrent agent workflows across services, clusters, and environments

Preserved investigation history and operational context across workflows & teams

Connections to telemetry, infrastructure, runbooks, and operational tools

Reduced repeated context gathering as agents take on more work

Expansion from incident investigation into reliability, performance, cost, and proactive fault detection

The fastest credible path to an SRE agent in production

Mezmo brings years of experience processing high-volume operational telemetry for enterprise teams, so SRE agents get the governed, relevant context they need to produce useful outcomes.

Run it on your terms

Your infrastructure. Your data. Your rules.
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Deploy agents in your infrastructure with an open-source foundation and control over your models, tools, telemetry, and workflows.

Give agents better context

The right operational context for every workflow.
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Turn telemetry, runbooks, service knowledge, and investigation history into the context agents need to reason more accurately and avoid starting from zero.

Govern the full operational loop

From operational signal to trusted action.
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Connect signal, investigation, recommendations, approvals, actions, and memory in one governed workflow. Start with human oversight and expand autonomy as trust grows.

Start with a proven SRE workflow. Expand as trust grows.

Pick a packaged starting point

Start with a common SRE workflow like investigating alerts, diagnosing deployment regressions, triaging an alert storm, producing an on-call handoff, or identifying a performance regression.

Run it in your environment

Deploy AURA with the tools, context, models, and policies needed to support the workflow in production.

Prove the value

Measure improvements in investigation speed, engineer time, consistency, context use, and execution quality.

Expand authority and scope

Move trusted workflows from advisory to approval-based or more autonomous operation, then add more workflows across the organization.

Resources

Blog posts and other materials about AURA and AI SRE.

AURA on GitHub

Start today from the open source repo

Get started

The runbook problem

How AURA documents what teams don't have time to write

AURA in practice

Real-world use cases for production AI agent infrastructure

#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.

Join us on Slack Get started on GitHub

Your infrastructure. Your rules. Your SRE agent.