AI Agents

Overview - LangGraph

Graph-based framework for building controllable agent workflows.

LangGraph gives developers more explicit control over stateful agent logic and branching execution paths.

What this tool is used for

LangGraph is best used as a practical helper for complex agent systems, controlled automation. It is useful when you want to move from rough ideas to high-quality drafts quickly, then refine with human review before publishing or sharing.

Limitations / things to watch

• Requires coding and architecture planning

How this compares to similar tools

LangGraph sits in the same category as Claude Code and OpenAI Codex. Use LangGraph when its output style and workflow fit your team, but compare pricing limits, integrations, and review requirements before standardizing.