AI product

LangGraph

An agent-orchestration framework for Python that models complex, multilayered AI workflows as directed agent graphs. It manages context and tool calls, provides state checkpoints and persistence, and supports human-in-the-loop approval gates for production deployments. The framework is reported to allow existing agents to be exported/imported into IBM watsonx Orchestrate.

Visit site Mentioned in 5 videos ↓

What LangGraph is used for

5 uses taken from transcripts — each links to the moment in the video.

  • Supports more complex and well-structured multilayered workflows, including production applications.

  • Orchestrates agent graphs with state checkpoints, persistence, and human-in-the-loop approvals.

  • Agent-development framework whose existing agents can be imported into watsonx Orchestrate.

  • Framework used to orchestrate agents and manage context and tool calls, especially in Python.

  • Agent framework used to run an agent that was onboarded alongside Codex and made available for agent-to-agent communication.

Videos mentioning LangGraph

5 in the library.