Agent infrastructure can include runtimes, model access, tool interfaces, sandboxes, memory, queues, observability, permissions and evaluation systems. It turns a model into an operational system that can perform multi-step work under defined controls.
The field changes quickly because better models and orchestration patterns can make a previously sound architecture less useful. Durable infrastructure emphasizes replaceable components, clear contracts and evidence-based migration rather than assuming one current stack will remain optimal for years.
ELI5
Agent infrastructure is the collection of systems that helps AI agents do real work. It provides the workspace, tools, memory, safety limits and feedback that surround the model.
For example, a coding agent needs more than an AI model: it needs file access, a protected place to run code, tests and a record of what changed. If the preferred model or runtime changes, well-designed infrastructure lets the team replace that part without rebuilding everything.
