Orchestrating Autonomous Agent Workflows with LangGraph
Learn how to build cyclical, stateful multi-agent systems using LangGraph and integrate them with high-performance Postgres queues.
Moving past simple linear chains into stateful, cyclical graph architectures that enable agents to collaborate and self-correct.
Building autonomous systems requires more than simple LLM prompts. In production, we need predictability, reliable state management, and the ability for agents to backtrack or loop based on real-time feedback.
01Why LangGraph?
LangGraph extends the LangChain ecosystem to support cyclic graphs, making it ideal for agent loops, error self-correction, and human-in-the-loop validation workflows.
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