Pick the framework that fits a long running production agent with HIL and resume after crash

**The decision hinges on three production requirements:** long-running execution, human in the loop, and resume after crash. Each maps cleanly to a LangGraph primitive. **Checkpointer.** LangGraph persists the full graph state after every node execution to a backing store (in-memory for tests, SQLite for local, Postgres for production). If the process dies, you resume from the last checkpoint, not from the start. **interrupt_before / interrupt_after.** You can mark any node as 'pause here'. The graph stops, returns control to your application, and waits until a human (or another system) provides input. Resume continues from that exact point. **Thread IDs.** Every run has a thread ID. State is keyed by thread, so the same agent can pause for a user, wait days, and resume cleanly when the user comes back. The other options miss something. CrewAI's sequential mode does not give you pause-resume. CrewAI's hierarchical mode plus memory is not the same as a checkpointer; memory is for context, not for crash recovery. AutoGen 0.2 is the deprecated prototype; do not reach for it in 2026 (0.4 is the actual current option and a defensible alternative answer).

**LangGraph is the right pick because checkpoint plus interrupt is exactly the production primitive set this requirement needs.** **Checkpointers** persist graph state after every node, keyed by a thread ID. The Postgres checkpointer is the production option; SQLite covers local and small deployments. If the worker process dies, the orchestrator can re-attach to the thread and resume from the last node boundary. Nothing in CrewAI or AutoGen 0.2 ships an equivalent first-class store. **interrupt_before and interrupt_after** let you mark any node as a pause point. The graph yields control with the current state, your application surfaces it to a human, and resume picks up at the marked node with whatever update the human provided. This is the canonical pattern for approval workflows, tool-use authorisation, and chain-of-thought reviews. **The wrong answers fail for concrete reasons.** CrewAI Sequential is a clean pipeline but has no thread-scoped checkpointer; restart from scratch is the recovery story. CrewAI hierarchical with shared memory confuses memory (which is conversational context) with checkpoints (which are crash-safe state snapshots). AutoGen 0.2 is the deprecated prototype that Microsoft replaced with the 0.4 rewrite; reaching for it in 2026 signals you have not tracked the ecosystem. **Honest caveat.** AutoGen 0.4 with its actor model and termination primitives is a defensible second choice for this brief, especially if you need distributed execution. The MCQ chose LangGraph because the checkpointer plus interrupt vocabulary is the most exact match for the requirements as stated.