Notes on running agents in production.
What an agent runtime actually does, how it compares to the tools you already use, and the guarantees a production agent needs that a demo never asked for.
What is an AI agent runtime?
An agent runtime is the layer between an agent's decision and the real-world effect it causes — identity, budgets, exactly-once execution, approvals and receipts. What it does, and why frameworks alone don't provide it.
Read →LangGraph vs. Temporal vs. Invoke
LangGraph orchestrates how an agent reasons. Temporal durably executes any workflow. Invoke governs the moment an agent's decision becomes a real-world action. A practical comparison of where each one sits.
Read →How to build reliable AI agents: 6 things every production agent needs
A practical checklist for taking an agent from demo to production: identity, budgets, idempotent side effects, human approval gates, credential isolation, and full observability — with the failure mode each one prevents.
Read →Install Foundry.
Govern the next call.
Nothing to migrate, nothing to host. Run it on your machine and push when you are ready to share the ledger.