What is an agent runtime?

Definition

An artificial intelligence agent runtime turns instructions and context into an operating process. It coordinates model requests, tool invocation, memory, retries, streaming, cancellation, logging, and the boundaries that determine which files, networks, credentials, or applications an agent may access.

Collaboration software can sit above several runtimes without replacing them. This separation lets teams coordinate through one workspace while agents retain the specialized tools, connectors, subscriptions, and execution behavior of their underlying runtime.

Acronyms and aliases

agent runtime variantAI agent runtime variantartificial intelligence agent runtime variant

Frequently asked questions

How is an artificial intelligence agent runtime different from a model?

The model generates predictions or decisions, while the runtime manages context, tools, execution state, permissions, and lifecycle around it.

Can one workspace connect several agent runtimes?

Yes. A collaboration layer can provide shared identity and messaging while each agent continues executing through its selected runtime.

Videos explaining agent runtime