Library for building stateful, multi-agent applications with cyclical logic.
They need precise control over agent state and cyclical logic for advanced research prototypes.
They require a robust framework to integrate stateful AI agents into existing enterprise architectures.
They benefit from the library's ability to create predictable, testable, and persistent agent workflows.
The framework requires significant Python programming expertise and architectural knowledge.
Simpler tools are faster for building basic, linear LLM applications without stateful requirements.
AI-powered tools that can replace or augment LangGraph
Stateful orchestration library that replaces visual prototyping for complex, cyclical AI agent logic.
Visual IDE for prototyping LangChain workflows and agents.
Graph-based framework for building stateful, multi-agent applications with complex control flow and state management.
Library for building stateful applications and agents using graphs.
Framework for building complex, stateful multi-agent AI applications and cyclical workflows as a code-centric alternative to Dify's visual orchestrator.
Open-source platform for building LLM applications.
LangGraph is an open-source library that is free to use, offering significant value for developers who need to build custom, scalable agentic systems without vendor lock-in.
