Multi-agent security architecture with scoped tokens, API gateway enforcement, mTLS-protected worker calls, and orchestrator-driven result aggregation.
Orchestrator { # Orchestrator Agent
n1: circle label:"Receive task"
n2: rectangle label:"Decompose subtasks"
n3: rectangle label:"Send subtask A"
n4: rectangle label:"Receive result A"
n5: rectangle label:"Send subtask B"
n6: rectangle label:"Receive result B"
n7: rectangle label:"Aggregate results"
n8: circle label:"Return answer"
n1.handle(right) -> n2.handle(left)
n2.handle(right) -> n3.handle(left)
n3.handle(bottom) -> Gateway.n9.handle(top) [label="Subtask A + scoped token"]
n4.handle(right) -> n5.handle(left)
n5.handle(bottom) -> Gateway.n13.handle(top) [label="Subtask B + scoped token"]
n6.handle(right) -> n7.handle(left)
n7.handle(right) -> n8.handle(left)
}
Gateway { # API Gateway
n9: rectangle label:"Validate request A"
n10: rectangle label:"Route to worker A"
n11: rectangle label:"Receive result A"
n12: rectangle label:"Forward result A"
n13: rectangle label:"Validate request B"
n14: rectangle label:"Route to worker B"
n15: rectangle label:"Receive result B"
n16: rectangle label:"Forward result B"
n9.handle(right) -> n10.handle(left)
n10.handle(right) -> WorkerA.n17.handle(left) [label="Validated request A"]
n11.handle(right) -> n12.handle(left)
n12.handle(top) -> Orchestrator.n4.handle(bottom) [label="Result A"]
n13.handle(right) -> n14.handle(left)
n14.handle(right) -> WorkerB.n19.handle(left) [label="Validated request B"]
n15.handle(right) -> n16.handle(left)
n16.handle(top) -> Orchestrator.n6.handle(bottom) [label="Result B"]
}
WorkerA { # Worker Agent A
n17: rectangle label:"Validate token + execute"
n18: rectangle label:"Return result A"
n17.handle(right) -> n18.handle(left)
n18.handle(top) -> Gateway.n11.handle(bottom) [label="mTLS result A"]
}
WorkerB { # Worker Agent B
n19: rectangle label:"Validate token + execute"
n20: rectangle label:"Return result B"
n19.handle(right) -> n20.handle(left)
n20.handle(top) -> Gateway.n15.handle(bottom) [label="mTLS result B"]
}
A supervisor-worker multi-agent architecture where an orchestrator agent receives a high-level goal, breaks it into subtasks, delegates each to specialist worker agents (researcher, writer, QA), monitors execution, handles failures, and synthesizes results. The orchestrator manages but does not execute tasks itself.
Multi-agent coordination pattern where an orchestrator breaks work into subtasks, specialist agents pull from and push to a shared state store, and the orchestrator composes the final answer from that shared state. Multi-agent setups feel coherent instead of each assistant having its own inconsistent memory.
A service mesh architecture diagram with Istio or Linkerd sidecar proxies handling mTLS encryption, traffic policies, circuit breaking, and distributed tracing across microservices. This template visualizes how a service mesh abstracts networking concerns away from application code, enabling zero-trust communication between services. Essential for teams adopting service mesh infrastructure to improve observability and security.
A zero trust security architecture diagram with device posture checks, MFA identity verification, risk-based policy decisions, short-lived JWT tokens, micro-segmentation, mTLS encryption, least-privilege access enforcement, and continuous monitoring. This template models the 'never trust, always verify' security paradigm where every request is authenticated and authorized regardless of network location. Essential for security architects implementing modern zero-trust frameworks in cloud-native environments.
An orchestrator-worker architecture where an orchestrator agent breaks a goal into subtasks, dispatches to specialized workers, then synthesizes a final response. This is the most common 'agent orchestration' architecture—powerful but the orchestrator can become a bottleneck as the number of workers grows. Frameworks like LangGraph focus on explicit routing/state to manage this.
A hierarchical multi-agent architecture that scales orchestration by stacking supervisors and team leads (a tree structure), which mirrors enterprise org structures and helps partition context. This is the 'enterprise-grade agentic AI architecture' when a single orchestrator cannot manage all workers directly. Ideal for large enterprises and multi-domain workflows.