LangGraph
AI MODELLangGraph is a framework for building and managing stateful, long-running language agents.
-(Reviews)
Free Available
Starting from Free
Premium plans available
LangGraph
AI MODEL
LangGraph is a framework for building and managing stateful, long-running language agents.
-(Reviews)
Free Available
Starting from Free
Premium plans available
About LangGraph
LangGraph is a low-level orchestration framework designed for creating, managing, and deploying stateful agents. It allows developers to build complex workflows with multiple LLM agents, maintain state across interactions, and implement conditional logic. Inspired by Pregel and Apache Beam, it provides a customizable architecture that supports long-term memory and human-in-the-loop capabilities, making it suitable for handling intricate tasks in AI applications.
Key Features
Complex Workflow Creation: Build intricate, cyclic workflows with multiple LLM agents that can interact seamlessly.
State Management: Maintain state across interactions to ensure continuity and context in agent conversations.
Conditional Logic Implementation: Create branching logic in applications to handle various scenarios dynamically.
Feedback Loops: Implement recursive improvement mechanisms that allow agents to learn and adapt over time.
Customizable Architectures: Design agent workflows tailored to specific needs without abstracting prompts or architecture.
Build complex, cyclic workflows with multiple LLM agents
Maintain state across interactions
Create conditional logic and branching in applications
Implement feedback loops and recursive improvement
Customizable architectures for agent workflows
