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LangGraph is a framework for building agentic systems that uses graphs to define workflows for large language models, allowing for controlled behavior and dynamic decision-making. It enables the creation of complex, flexible workflows by incorporating deterministic and conditional edges, and supports the embedding of full agents within nodes for specialized tasks. The framework balances structured workflows with adaptability, making it suitable for applications that require both predictability and flexibility.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
