Agent Chains
Link up to 100 AI agents into a unified swarm. Combine their capabilities to solve complex tasks that single agents can't handle alone.
// What are Agent Chains?
Agent Chains let you combine multiple Clouds with AI agents into one unified chain. Instead of running agents separately, you pool their computing power and capabilities into a single, more powerful swarm.
Think of it like this:
One agent = one brain. Agent Chain = 100 brains working together.
Multiply power, divide complexity.
// Why Use Chains?
Combined Computing Power
Pool resources from multiple Clouds. More CPU, more RAM, more capability.
Handle Complex Tasks
Tasks too big for one agent get distributed across the chain automatically.
Fault Tolerance
If one agent fails, others in the chain continue working. No single point of failure.
Scale Without Limits
Need more power? Add more agents to your chain. Up to 100 per chain.
// How It Works
Combined power of all agents
When you create an Agent Chain, all connected Clouds share their resources. Requests are automatically distributed across the swarm for maximum performance.
// Creating a Chain
Go to Chains
In your dashboard, click "Agent Chains" in the sidebar.
Create New Chain
Click "Create Chain", give it a name.
Add Clouds
Select which Clouds (with agents) to include. Add up to 100.
Activate
Click "Activate Chain". Your swarm is now live.
// Use Cases
Large-Scale Data Processing
Process massive datasets by distributing work across 100 agents simultaneously.
High-Traffic Applications
Handle millions of requests by load-balancing across your agent swarm.
Complex AI Tasks
Combine specialized agents — one for NLP, one for vision, one for reasoning — into one powerful system.
Redundancy & Uptime
If any agent goes down, the chain continues. Built-in fault tolerance.
// Chain Limits by Plan
| Plan | Agents per Chain | Total Chains |
|---|---|---|
| Starter | 5 agents | 1 chain |
| Pro | 25 agents | 5 chains |
| Enterprise | 100 agents | Unlimited |