LangGraph
Agents as an explicit state graph — the closest thing to what you are leaving.
LangGraph models an agent as a graph of nodes with explicit state, checkpointing and human-in-the-loop interrupts, which is very nearly the mental model Agent Builder gave you — with the difference that the graph is code in your repository. It is the most battle-tested option for production agents that must survive restarts, resume mid-run and be inspected when they go wrong. MIT-licensed, roughly 38.5k GitHub stars and pushed to daily as of 2026-07-30. LangGraph Platform is a paid hosted deployment tier, but the framework itself is complete without it — the distinction is worth checking before you build on anything you assume is free.
Strengths
- +Explicit state graph maps closely onto what Agent Builder did
- +Checkpointing and resumable runs — genuinely production-grade
- +Human-in-the-loop interrupts are a first-class feature, not a workaround
- +MIT and in your repository: nobody can announce a sunset date for it
Trade-offs
- −Steepest learning curve here — you are writing the graph, not drawing it
- −Carries LangChain ecosystem conventions whether or not you want them
- −Verbose for simple agents that only need a loop and two tools
- −The hosted platform is where the operational conveniences live