Scale production
past human understanding.

Mezmo provides an operating environment for agents to safely and efficiently work on production systems. It adds the context, memory, governance, and evidence required to trust production agents.

Talk to us

Works with open source

SEV-1 · Checkout latency over 4s in productionRecovered at 03:15 · within approved policyEscalated to on-call · nothing ran
open-source agent Claude Codeyour agent
incident-responder
  1. investigate checkout latency
  2. Insightsfind the change
    latency rose after deploy #8121
  3. Memoryrecall prior incidents
    INC-2107: rollback resolved it
  4. Governanceroll back to #8120
    held for on-call approvalNeeds approval
    approved · rollback completeApproved
    denied · agent stoppedDenied
  5. Ledgerrecord the trail
    every step linked to its context
#inc-checkoutSlack
AURA03:12
Investigating checkout latency
MezmoAPP03:12
Approval needed
Agent: incident-responder · Policy: checkout operations v14
Roll back checkout to #8120?
Approved by @on-call
Denied by @on-call
AURA03:15
Recovered within policy
AURA03:13
Stopped. The denial and its reason are on the record.
Insights

What's happening?

Find changes, link signals, and trigger on anomalies.

 Memory

What have we learned?

Reusable lessons from prior incidents.

 Governance

What is permitted?

Define bounded policy. Escalate when you need to.

 Ledger

What did the agent do?

See what the agents did when they did it.

Production agents

Coding agents change code.
Production agents change live systems.

A bad call can disrupt live services for customers and other teams.

Agents for coding

The artifact waits for you.

CodeReviewTestAuthorizeShip
  • Bounded context: a repo, finite and static.
  • Nothing is live while you author. The blast radius is zero until you ship.
  • Git holds every decision and its reasoning.

Agents for production work

The output is the action.

Resolve targetCheck current stateCheck approved scopeExecuteVerify
  • Check the live target and approved scope.
  • Keep human approval where policy requires it.
  • Verify the result and record what happened.

Same loop, different problem: the artifact waits for you. Production does not.

Coding is single-player.
Production is multiplayer.

Every engineer and every coding agent works on a copy of the code. Git merges the work, pull requests are the approval, and the commit history is the shared memory.

In production, every person and every agent works on main. There is no branch, no merge, and no general revert. Teams have counted on people's judgment and memory to hold it together, and that stops working when many agents, on many engineers' credentials, act on the same live system.

Git gives code these four things. Production has none of them.Mezmo puts them back
In GitA branch per change
Every agent acts on the live system
One governed pathTo production, with AURA in your environment
In GitPull request review
Each agent approves its own actions
GovernanceYour policy, named approvers, and an audit trail
In GitCI checks
Someone eyeballs the result
LedgerEach action linked to its observed outcome
In GitCommit history
Tribal knowledge, lost between sessions
MemoryShared lessons the team has reviewed

Insights

Focused context for investigation.

Insights finds the change across logs, metrics, and traces, and shapes it into context before your agent reasons. The agent spends less effort assembling it.

  • Detect meaningful changes
  • Correlate signals into one focused context
  • Trigger an investigation on an anomaly
Less time triagingLower token spendHigher accuracy
Talk to us about Insights
app.mezmo.com/checkout-platform/log-insights
app.mezmo.com/checkout-platform/governance

Governance

Control what agents can do.

Before an agent's tool call runs, Mezmo checks it against the policy you own. Routine work proceeds. People decide the exceptions.

  • Allowed calls run without interruption
  • Risky calls wait for an authorized approver in Slack
  • Calls outside approved scope never run
See how Governance works

Memory Preview

Experience for the next investigation.

Memory keeps prior conditions, actions, and verified outcomes from production incidents, and the agent reads them before it reasons. Agents reuse reviewed experience. Governance still checks each proposed action.

  • Recall relevant history with its conditions
  • Compare what matches and what has changed
  • Retain new lessons after review
Talk to us about Memory
app.mezmo.com/checkout-platform/ai-memory

Checkout rollback #8120

One linked audit trail
InsightsContext validated
MemoryIncidents recalled
GovernanceRollback approved
AgentRollback complete
TimeAgent activityLinked toContext and authority
03:12:08Validate current contextInsightsResource, deployment, and signal freshness
03:12:09Recall prior incidentsMemoryINC-2107, 2158, and 2203 with conditions
03:12:40Request rollback #8120GovernanceTool-call scope and policy decision
03:12:40Receive authorizationApprovalNamed owner and approval for this action
03:13:55Execute the rollbackActionTool arguments and executor result
03:15:02Record service restorationTelemetrySource and time of the recovery signals

Ledger Preview

The record behind every action.

Ledger links Insights context, Memory recall, Governance decisions, and agent actions as one trail of activity. Every action stays linked to what the agent knew and who permitted it.

  • State, action, and outcome, written as it happened
  • Evidence attached to every step
  • Tonight's record informs the next investigation
Talk to us about Ledger

Platform

Production requires more than an agent.

Trust comes from the environment. Mezmo provides the context, memory, governance, and evidence. Your agents and your systems stay yours.

Your agent.

Start with the harness you use, move to AURA, or bring your own.

Your policy.

Permission comes from the policy you approve, with scope and approvals built in.

Your evidence.

Every action is linked to its observed outcome in a durable record.

Your agents

  • Claude Code
  • Codex
  • AURA

Or bring your own

Context Tool call
Trust & Scale
InsightsCurrent signals and changes
Memory PreviewReviewed history and conditions
GovernanceScope and policy for each tool call
Owner approval in Slack if needed
Signals Execute

Your systems

  • Services
  • Data stores
  • Queues
  • External
  • Kubernetes
LedgerPreviewLinked context, tool calls, approvals, and outcomes

AURA

AURA coordinates a bounded workflow.
Mezmo supports autonomy at scale.

One team and one workflow establish the pattern. Broader adoption needs a shared foundation. AURA is open source: run it, read it, extend it.

CapabilityOpen source, Apache-2.0AURA + MezmoCommercial
Runs unattended
SRE workflows
Logs, traces, and metricsDirect tool connections90% cheaper and faster
Policy across workflowsIn-session human approvalCentralized and governed
Memory across workflowsLocal files and retrievalShared, durable memory
Action and outcome historyPer-run execution tracesActions linked to outcomes
Try AURA on GitHub Learn about AURA Or bring Claude Code, Codex, OpenCode, Pi, or the agent you already run.

The trust layer for autonomous operations.

Works with open source

Choose the first workflow to prove.

Agree on the workflow, the permission boundary, and the evaluation criteria. Measure the result before expanding the scope.

Get startedTry AURA on GitHub