Lean orchestration
Single job, few moving parts
Best when one agent handles one bounded task and humans still own the final action.
ComparisonAI & AutomationAgent designPremium
Agent Ops Stack Comparison
A side-by-side comparison of orchestration layers, memory patterns, and deployment options for practical agent systems.
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Updated Mar 12, 2026
Human accountableModeration reviewed2 sourcesReview recommendedVersion 1
Decision board
Three common agent operating models
3 visual steps
Use this board to decide whether you need a thin orchestration layer, a workflow graph, or a full runtime with policy and tracing built in.
Fastest to shipBest for approvalsStrongest governance
Workflow graph
Approvals, retries, and visible state
Best when tasks branch
retry logic matters
and you need explicit transitions that teams can inspect.
Runtime platform
Policies, tracing, and scale controls
Best when agent behavior becomes core product infrastructure and governance has to be operational
not aspirational.
If your team is still proving one narrow workflow, stay lighter than your ambition and move up only when coordination pain becomes real.
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Choosing your control plane
01- Use lightweight orchestration when the agent has one narrow job and low coordination needs.
- Choose workflow graphs when human approval, retries, or explicit state transitions matter.
- Reach for full runtime platforms when multi-step deployment, tracing, and policy controls become core.
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