🧭 Multi-Agent System Navigator

Answer a few questions to get personalized recommendations for your multi-agent system architecture.

1

Architecture Pattern

Choose the foundational structure for your system

Is your workflow predictable with clear sequential steps?

Consider whether you know in advance which agents need to run and in what order, or if the flow is dynamic and depends on runtime conditions.

🎯 Yes - Predictable & Sequential
My workflow has clear steps that need to happen in a specific order. I know which agents to use and when.
Orchestrator Pattern Centralized Control
πŸ•ΈοΈ No - Dynamic & Flexible
My workflow is unpredictable. Agents need to decide at runtime which other agents to coordinate with based on the situation.
Peer-to-Peer Pattern Decentralized
πŸ”€ Mixed - Some Predictable, Some Dynamic
Parts of my workflow are predictable, but other parts require dynamic agent coordination based on results.
Hybrid Pattern Best of Both
2

Orchestration Strategy

How should tasks be coordinated?

What's the relationship between your tasks?

Think about whether tasks depend on each other, can run simultaneously, or require conditional branching.

➑️ Sequential - One After Another
Each task depends on the previous one. Task B needs the output from Task A to proceed.
Sequential Execution
⚑ Parallel - All at Once
Tasks are independent and can run simultaneously to save time. No task depends on another.
Parallel Execution Fast
πŸ”€ Conditional - Branch Based on Results
Different paths based on outcomes. If condition X is true, do Y; otherwise do Z.
Conditional Logic
🎭 Hybrid - Combination of All
Complex workflows that combine sequential, parallel, and conditional patterns.
Sequential Parallel Conditional
3

Routing Strategy

How should requests be directed to agents?

How should incoming requests be distributed?

Consider the nature of your requests and how they should be matched to agents.

πŸ” Content-Based - By Request Type
Route based on keywords, topics, or request content. Technical questions go to tech support, billing to finance, etc.
Content Analysis Intelligent
πŸ”„ Round-Robin - Distribute Evenly
Spread requests evenly across multiple identical agents for load balancing.
Load Balancing Simple
⚑ Priority-Based - By Urgency
Route urgent requests immediately, queue normal requests. Handle critical issues first.
Priority Queues Urgent First
🎯 Capability-Based - By Agent Skills
Match requests to agents based on their specific capabilities and current availability.
Skill Matching Optimized
4

State Management

How should your system remember information?

Does your system need to remember information across sessions?

Consider whether state is temporary (just for one workflow) or needs to persist long-term.

πŸ’¨ Ephemeral Only - Temporary State
State only needed during workflow execution. Can be discarded when done.
In-Memory Fast Temporary
πŸ’Ύ Persistent - Long-Term Storage
Need to save user data, transaction history, or system state across multiple sessions and restarts.
Database Durable
πŸ”„ Both - Hybrid State
Use ephemeral state for workflow context and persistent state for important data that must survive.
Ephemeral Persistent

Will multiple agents access the same data simultaneously?

If yes, you'll need state coordination to prevent conflicts.

1️⃣ No - Sequential Access
Only one agent accesses data at a time. No concurrency concerns.
Simple
πŸ”’ Yes - Low Concurrency
Occasional concurrent access. Use pessimistic locking (database locks) for critical sections.
Database Locks Safe
⚑ Yes - High Concurrency
Frequent concurrent access. Use optimistic concurrency control (version checking) for better performance.
Version Control High Performance
5

Error Handling

How should your system handle failures?

What types of failures are most likely?

Select all that apply to help determine your error handling strategy.

πŸ”„ Transient Errors (Network, Timeouts)
Temporary issues that usually resolve themselves. Use retry with exponential backoff.
Retry Logic Exponential Backoff
πŸ”€ Service Failures
External services or APIs may be down. Need fallback alternatives or cached data.
Fallback Pattern Circuit Breaker
↩️ Partial Workflow Failures
Some steps complete but later ones fail. Need to undo completed actions (compensation).
Compensation Rollback
πŸ‘€ Ambiguous or Critical Situations
Complex failures requiring human judgment. Implement escalation workflows.
Human Escalation Manual Review

πŸ’‘ Tip: Most production systems need multiple error handling strategies. Select all that apply to your use case.

βœ“

Your Personalized Architecture

Based on your answers, here's your recommended system design

🎯 Architecture Overview

System Architecture Diagram

πŸ“‹ Implementation Checklist

⚠️ Critical Considerations

πŸ”— Next Steps & Resources