Dedicated agent environment

How do I run an AI agent with a dedicated environment?

Run an AI agent with a dedicated environment by assigning it an explicit tenant identity, private workspace, runtime state, storage boundary, credential scope, policy, and operational lifecycle. Hermes Hub provides these controls for hosted Hermes Agent runtimes so the agent can be operated as managed infrastructure rather than as an unmanaged personal tool.

Dedicated environment checklist

Define the boundary before granting the agent real work.

Private workspace

Give the agent a durable workspace for artifacts that should remain visible to its tenant.

Runtime and secrets

Keep runtime configuration, browser state, credentials, and caches under the managed tenant boundary.

Lifecycle and evidence

Own releases, schedules, access state, run history, usage, and recovery procedures.

Dedicated-environment references

Dedicated AI agent environment FAQ

What makes an environment dedicated?
A dedicated environment has an explicit tenant identity and separated runtime, workspace, credentials, storage, policy, sessions, logs, and access state.
Should shared company storage replace a private workspace?
No. Company storage is a separate shared boundary when granted; the tenant workspace remains the private durable working area.
What should operations monitor?
Monitor lifecycle, schedules, runs, usage evidence, access state, policies, and the release or rollback path for the dedicated runtime.

Design a dedicated agent environment

Discuss the tenant, workspace, runtime, storage, credential, policy, and evidence boundaries your agent needs.

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