Mixed topology pattern
Hybrid Multi-Agent System
A parallel research phase feeds a sequential decision phase — parallel where it can, ordered where it must.
Best for research-then-decide workflowsHow it works
The Hybrid Multi-Agent System pattern
Real workflows are rarely all parallel or all sequential. Here, independent research runs concurrently, then its combined output flows through an ordered chain of agents that each depend on the step before.
- 1
Parallel research
Market Research and Cost Research run at the same time.
- 2
Strategy
Reads both research outputs and sets direction.
- 3
Financial
Turns the strategy into numbers and a break-even.
- 4
Aggregator
Combines strategy and financials into the plan.
Why it matters
You get the speed of parallelism for the parts that are independent and the reliability of a pipeline for the parts that must happen in order. Most production agent systems end up looking like this.
Playground
Run the hybrid multi-agent system
Your Goal
InputThe objective for the plan
Market Research
AgentSizes demand and the competitive gap
Cost Research
AgentEstimates set-up and running costs
Strategy Agent
AgentSets direction from both research outputs
Financial Agent
AgentTurns the strategy into numbers
Aggregator
AggregatorCombines strategy and financials into the plan