Agent activity is scattered
Each external runtime has its own logs, credentials, configuration, and status signals.
Agent Visibility Control Center
Atlas
A secure control center for understanding which external AI agents are known, trusted, connected, healthy, failing, or waiting for owner attention.
The problem
AI agents become operational systems before teams get an operating model.
Trust is hard to prove
Owners need evidence of identity, last contact, credential state, and reported work before they can rely on an agent.
Attention arrives too late
Failures, missed heartbeats, and stale connections should be visible before they become operational surprises.
What Atlas is
A single owner-facing place for agent trust, health, alerts, and reported work.
Atlas gives the owner an honest operational view of external agents. It records authenticated contact and bounded summaries so attention can move from scattered runtime clues into one disciplined console.
Agent identity
Enroll external agents with stable identities, lifecycle status, environment, version, and credential posture.
Observed connection health
Separate what Atlas last accepted from what an agent reports, so operational status stays precise.
Attention and alerts
Surface late, offline, disconnected, failing, and recovered states in the owner workflow.
Reported execution history
Review bounded execution summaries and outcomes without implying Atlas dispatched the work.
The value
Operational confidence without false control-plane claims.
Atlas helps owners see evidence, act on attention signals, and manage the trust lifecycle while keeping each agent runtime outside Atlas where it belongs.
Atlas observes external agents through authenticated contact.
Atlas manages trust lifecycle, credential rotation, and owner visibility.
Atlas does not host, schedule, execute, pause, resume, or stop external runtimes.
Owner access