Tenant lifecycle
Manage tenant identity, runtime state, releases, access, storage, and operational artifacts.
Bewize Hub
What should an AI agent control plane manage?
An AI agent control plane should manage runtime identity, tenant lifecycle, permissions, policies, credentials, storage, schedules, releases, usage evidence, access changes, and recovery. Bewize Hub applies that operating model to managed AI worker runtimes and supports controlled A2A edge access for compatible agents.
What Bewize Hub manages
The Hub turns a hosted agent runtime into an operational tenant with explicit lifecycle and control surfaces.
Policies and secrets
Apply agent policy boundaries and manage credential metadata through the operating layer.
Schedules and runs
Operate scheduled work, runtime wakeups, runs, and associated evidence.
A2A edge access
Connect compatible agents through cards, credentials, peers, and routed messages.
Bewize Hub FAQ
What agent does Bewize Hub host?
The shipped hosted agent type described in Bewize’s public product truth is managed AI worker. Other tools may drive the Hub API, but they are not presented as additional hosted agent types.
Why is a control plane different from an agent builder?
A builder creates or configures agent behavior. A control plane operates the identity, runtime, access, release, schedule, evidence, and recovery boundary around that agent.
Is Bewize Hub only a chat product?
No. It is an API-first control plane for tenant lifecycle, policies, secrets, storage, schedules, releases, runtime operations, and evidence. Roomcord is the collaboration surface.
Does Bewize Hub include an open third-party marketplace?
No. Internal agent flavors and static templates are supported today. Open third-party publishing is on the roadmap and not shipped.