Deepagents on LangGraph: Debugging Long-Running AI Agents with Time-Travel

Imagine we’re building a research agent that analyzes the latest developments in generative AI and delivers a weekly summary report. After running for several minutes and consuming thousands of tokens across multiple sources, it produces a confident output. While reviewing the report, stakeholders identified a major flaw: several key claims in the report are based on outdated 2024 benchmarks, presented as current 2026 insights.