100 agents. One command center.

Deploy AI agents
that actually work

Train up to 100 specialized AI agents and orchestrate them from a single dashboard. No frameworks. No code. Just results.

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100 agents, each trained for a specific job

What the frameworks forgot

CrewAI, LangGraph, AutoGen are powerful. But they're tools for developers, not products for businesses.

Visual Agent Builder

Define agent behaviors with a drag-and-drop interface. No Python required. No YAML files. Point, click, deploy.

🎯

Train on Your Data

Each agent learns from your documents, your workflows, your business context. Not generic. Not one-size-fits-all.

📊

Swarm Dashboard

Real-time visibility into what all 100 agents are doing. Token spend, task completion, error rates. Full observability.

🔒

Cost Controls Built In

Budget caps per agent, per swarm, per day. 40% of AI projects fail from runaway costs. Not on HiveCommand.

HiveCommand vs. the rest

Capability Frameworks HiveCommand
No-code agent creation Requires Python/JS Visual builder
Agent limit Depends on infra 100 per workspace
Cost visibility DIY monitoring Built-in per-agent
Time to first agent Hours to days Minutes
Swarm orchestration Manual wiring Automatic coordination

The age of the single chatbot is over

Every business will run on a swarm of specialized AI agents. The question isn't whether, it's who makes it accessible first. HiveCommand is building that future, one agent at a time.