Assess
LangGraph is a library for building stateful, multi-actor applications with LLMs. It extends LangChain's capabilities by providing tools for building complex workflows and agent systems with multiple AI components working together.
Key Capabilities:
- State management for LLM applications
- Multi-agent orchestration
- Workflow visualization
- Concurrent execution support
- Error handling and recovery
- Message passing between agents
- Debugging and monitoring tools
- Integration with LangChain
JS Documentation Python Documentation
MOHARA should evaluate LangGraph for projects requiring complex LLM workflows or multi-agent systems, particularly when building applications that need sophisticated orchestration and state management.