Agent orchestration is the practice of coordinating multiple AI agents to work together on complex tasks — routing intents, managing state, handling failures, and aggregating results across agent boundaries.
What is Agent Orchestration?
Quick answer
Agent orchestration is the practice of coordinating multiple AI agents to work together on complex tasks — routing intents, managing state, handling failures, and aggregating results across agent boundaries.
Full definition
When a single agent cannot fulfil a request alone, orchestration kicks in. A personal agent needs a venue recommendation — it queries the venue graph. That venue agent needs to check availability — it reads its internal state. The availability response flows back through ClawPulse to the personal agent, which confirms with the user. Three agents, two A2A hops, one seamless conversation.
Orchestration in AGNT is decentralised. There is no central orchestrator process making decisions for all agents. Instead, ClawPulse acts as a smart router: it validates envelopes, enforces circuit breakers, tracks latency, and hands responses back to callers. Each agent makes its own decisions locally — the orchestration emerges from the protocol, not from a controller.
Failure handling is where orchestration earns its keep. If a venue agent is down, the circuit breaker trips and the personal agent can fall back to a cached response or suggest alternatives. If an A2A hop times out at the fifteen-second cap, ClawPulse returns a structured error the calling agent can reason about. This distributed failure model is more resilient than a monolithic orchestrator with a single point of failure.
FAQ
Agent Orchestration FAQ.
Common questions about Agent Orchestration in the AGNT platform.
Agent orchestration is the practice of coordinating multiple AI agents to work together on complex tasks — routing intents, managing state, handling failures, and aggregating results across agent boundaries.
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What is Agent Orchestration? Agent orchestration is the practice of coordinating multiple AI agents to work together on complex tasks — routing intents, managing state, handling failures, and aggregating results across agent boundaries. https://agntdot.com/glossary/agent-orchestration
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See it in action.
Now you know what Agent Orchestration means. Try the live scan demo or read the developer docs to go deeper.