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LangGraph
Stateful agent framework with built-in checkpointing and memory persistence across execution cycles.
Overview
LangGraph extends LangChain by introducing explicit state management, allowing agents to pause, save, and resume execution with full context history. Its checkpointing system acts as a durable memory layer, supporting branching, human-in-the-loop workflows, and time-travel debugging.
Best for
- complex multi-step agents requiring durable state and human oversight
Trade-offs
vs MemGPT
LangGraph gives you granular control over state transitions and tool calls; MemGPT abstracts memory management inside the model loop for simpler long-context handling.
What XeroHack pre-wires
When you pick LangGraph in the interview, the engine emits these files into your scaffold:
- Memory checkpointers
- Postgres/SQLite adapters
- Streaming UI templates
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