Developer Frameworks & Infrastructure
LangGraph
Cyclical graph framework for stateful multi-agent AI systems
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Developer Frameworks & Infrastructure
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Nov 14
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Built-in persistent state persistence across multiple conversation turns
LangGraph is a library for building stateful, multi-actor applications with LLMs, enabling loops, branching, human in the loop workflows, and persistent memory.
Pricing checked Nov 2026
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About LangGraph
LangGraph extends LangChain by introducing a first-class graph execution model where nodes represent functions and edges represent state transitions. Unlike basic DAG architectures that run strictly sequentially, LangGraph natively supports cyclical graphs, allowing autonomous agents to loop over reflection, tool execution, and user feedback until complex objectives are completed.
- Built-in persistent state persistence across multiple conversation turns
- Native support for cyclic loops, error retries, and conditional branching
- Deep interoperability with the entire LangChain ecosystem of tools and integrations
- Graph architectural paradigm requires a steeper learning curve than simple linear chains
- Managing large state objects in complex graphs can introduce debugging overhead
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