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AgentHub

An enterprise control plane for AI agent fleets.

Deploy and manage enterprise AI agents in one place. See their status, permissions, and conversations, and connect tasks through controlled collaboration and sequential workflows.

Open AgentHub
AgentHub control plane showing agent status, ownership, and management controls

Centralized management

See personal and project agents in one place, organized by ownership and operational status.

Operational control

Start, stop, archive, and destroy agents, and check deployment progress for each one.

Permission boundaries

Agent use and collaboration follow ownership and authorization, giving each team member a defined scope of access.

See each agent’s status and owner.

Check an agent's model, owner, creator, and operational status in its details. Start, stop, archive, or destroy agents according to your permissions. Lifecycle operations retain their results for review.

AgentHub agent details showing model, owner, operational status, and lifecycle controls

Each agent runs in its own environment.

Configure the Feishu connection, runtime environment, New API model gateway, and default model in settings. Assign ownership when creating an agent. Each agent uses its own container and working directory.

AgentHub developer settings showing the Feishu connection and runtime environment configuration

Configuration

Manage the Feishu developer connection, runtime environment, and model gateway configuration in one place.

Isolated operation

Each agent has a separate container, working directory, and model credentials for independent management.

Model access is managed through one gateway.

New API is the model gateway for AgentHub. Provider credentials stay in the gateway. AgentHub issues a separate key for each agent, restricts its model access and expiration, and synchronizes access with the agent lifecycle.

AgentHub model gateway settings showing New API management, the API URL, and key expiration

Channels & usage

Open New API from AgentHub to manage model channels and quotas, and inspect requests and usage records.

Separate access credentials

Each agent key is restricted to its configured model and can have an expiration date.

Access follows the lifecycle

Disable keys when agents are stopped, archived, or destroyed. Restore access when agents are enabled.

Conversations follow ownership and can be reviewed in one place.

Administrators manage the cluster, while members access the agents they are authorized to use. Browse recent web and Feishu conversations by agent, with message sources and timestamps to help review the context.

AgentHub conversation interface showing the conversation list, message sources, and agent replies

Web & Feishu

Start a conversation on the web, or use an agent through its configured Feishu integration.

Conversation history

Browse recent conversations by agent and review messages from users and agents, including their sources.

Several agents complete one task in sequence.

Assign an agent and instructions to each step, then pass results and files through the sequence. Run records retain step status and handoff material. Failed runs stop with a reason, making it clear which step needs review.

Completed AgentHub sequential workflow showing step status, handoff results, and files

Controlled delegation

Collaboration between agents with different owners requires explicit authorization. Sharing a cluster does not grant access.

Sequential workflows

Each step runs in its own conversation and follows the configured sequence.

Results & file handoffs

Review the status, handoff text, and artifacts from each step to see what was passed on.

Manage your agents in AgentHub.