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LangGraph
New
Framework for building stateful, multi-actor applications with LLMs
Overview
Open-source Python framework by LangChain for creating complex agentic systems with explicit state management, enabling reliable multi-step AI workflows and agent behaviors.
Pros
- Deterministic agent behavior
- State persistence and replay
- Human-in-the-loop workflows
- Excellent documentation
✕ Cons
- Python-only currently
- Requires understanding of graph concepts
- Newer framework with evolving API
Key Features
State graph architecture
Streaming support
Checkpointing
Tool integration
Cycle detection
Use Cases
Complex AI agent developmentMulti-step reasoning systemsRetrieval-augmented generationWorkflow automation with LLMs
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