Central registry
Track which employees, teams, or roles own which agent runtimes.
Agent Orchestration
Operate company AI agents from one control plane
Bewize orchestrates enterprise AI agents through Hermes Hub. Operations teams can manage tenant records, lifecycle actions, access blocking, releases, policies, schedules, runs, credentials, and runtime-impact decisions from one control plane.
What is AI agent orchestration in Bewize?
AI agent orchestration means treating each agent as a managed tenant with known identity, lifecycle state, runtime policy, release version, schedules, credentials, run history, and access state. The source-backed Hermes Hub capabilities include tenant management, access blocking, cold-idle and wake-on-demand lifecycle, run creation and streaming, stop controls, cron management, scheduler wakeups, release pinning, and policy APIs.
Policy and access
Control available runtime capabilities and block access when needed.
Release management
Pin tenants to approved runtime releases and roll forward intentionally.
Schedule and run control
Create and inspect scheduled runs, wakeups, streamed run events, and stop controls.
Operational outcome
Agent operations become repeatable, inspectable, and governable.
Hub configuration shows tenant runtime impact
Hermes Hub separates hub-owned defaults from tenant records through API-first configuration and focused operator surfaces. Runtime-impact metadata indicates whether a change requires hub restart, tenant reconcile, or tenant agent restart.
Hub-owned defaults
Model routing, Codex execution, browser defaults, cron timing, storage, quotas, and runtime policy live in hub process configuration.
Tenant records stay separate
Tenant identity, owners, hosts, workspaces, and per-tenant secret records are not edited on the hub-config page.
Truthful apply plan
The UI reports pending config edits and whether applying them needs hub restart, tenant reconcile, or agent restart.
Runtime policy visibility
Operators can inspect the effective policy preview before applying capability changes.
Operational outcome
Runtime defaults can be changed with a visible blast radius instead of guessing which tenants will be affected.
Discuss agent orchestration
Architecture conversation
Tell us what your team needs to control
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
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