LangGraph
Overview
An open-source AI framework for building stateful, multi-actor applications with large language models (LLMs).
Best For Professions:
LangGraph is an open-source library designed to facilitate the development of stateful, multi-actor applications utilizing large language models (LLMs). It enables the creation of complex agent and multi-agent workflows, supporting features such as cycles, controllability, and persistence. LangGraph allows developers to define flows involving cycles, essential for most agentic architectures, and provides fine-grained control over both the flow and state of applications. Additionally, it includes built-in persistence, enabling advanced human-in-the-loop and memory features, making it suitable for creating reliable, fault-tolerant agent-based systems.
AI Agent Store research
What the evidence says about LangGraph
LangGraph is best understood as an agent-development framework. An open-source AI framework for building stateful, multi-actor applications with large language models (LLMs).
Last reviewed July 30, 2026
Verified capabilities
- Agent application development
An open-source AI framework for building stateful, multi-actor applications with large language models (LLMs).[1]
Where it fits best
- Developing complex AI agents with stateful workflows.[1]
Buying and deployment notes
Deployment: Source repository[1]
Sources and research method (1)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- GitHub - langchain-ai/langgraph: Build resilient agents. · GitHubGitHub · checked 2026-07-30
Autonomy level
85%
Comparisons
Custom Comparisons
Some of the use cases of LangGraph:
- Developing complex AI agents with stateful workflows.
- Implementing multi-agent systems with controllable interactions.
- Creating applications requiring iterative decision-making processes.
- Enhancing AI agents with persistence and human-in-the-loop capabilities.
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Pricing model:
Code access:
Popularity level: 82%
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