LangGraph

LangGraph is a powerful, low-level framework for building stateful, controllable AI agents. It gives developers the tools to design and orchestrate complex agentic systems that can reliably handle real-world tasks. The framework is designed to balance agent autonomy with developer control, ensuring predictable and effective performance.

With LangGraph, you can create expressive and fully customizable agent workflows. Its flexible architecture supports diverse control flows, including single-agent, multi-agent, and hierarchical structures. A key feature is its built-in support for human-in-the-loop collaboration, allowing for seamless moderation, review, and approval of agent actions. You can easily inspect an agent's steps and even "time-travel" to correct its course.

Key capabilities include:

• Persistent Context: Built-in memory stores conversation history, enabling rich, personalized interactions over time.
• First-Class Streaming: Native token-by-token streaming shows agent reasoning and actions in real-time for a better user experience.
• Scalable Deployment: The accompanying LangGraph Platform provides APIs, a visual studio for debugging, and multiple deployment options for scaling your applications with fault-tolerant infrastructure.