LangGraph is a low-level agent orchestration framework designed to build controllable agents for complex tasks. It offers a stateful design for managing conversation histories and session data, ensuring smooth handoffs in agentic systems.
Key Features:
- Controllable Cognitive Architecture: Supports diverse control flows, including single-agent, multi-agent, hierarchical, and sequential workflows.
- Human-Agent Collaboration: Facilitates seamless collaboration with humans through features like draft reviews and action approvals.
- First-Class Streaming Support: Provides native token-by-token streaming and streaming of intermediate steps for improved UX design.
- LangGraph Platform: Offers dynamic APIs for designing agent UXs, fault-tolerant scalability, and an end-to-end developer experience with LangGraph Studio.
Use Cases:
- Building reliable AI agents for automating real-world tasks.
- Creating personalized user experiences with long-term memory APIs.
- Simplifying prototyping, debugging, and sharing of agents in a visual environment.
- Deploying and scaling agentic applications with purpose-built infrastructure.
