LangGraph
Agent orchestration framework for reliable AI agents
Quick Answer
LangGraph is an MIT-licensed open-source library and agent runtime for building reliable AI agents, giving developers low-level primitives instead of a fixed abstraction. It supports human-in-the-loop control, persistent memory across interactions and first-class streaming. Free and open source, with LangSmith available as the paid agent-engineering platform for debugging and deployment.
LangGraph is an MIT-licensed open-source library from LangChain for building stateful, multi-actor AI agents. It gives developers low-level primitives to build expressive, customizable agent workflows, with memory, human-in-the-loop checks and first-class streaming. It pairs with LangSmith for tracing, debugging and deployment.
LangGraph gives developers low-level primitives for expressive, customizable agent workflows, with easy-to-add human-in-the-loop checks to steer and approve agent actions, and it is designed with streaming workflows in mind without adding overhead to your code.
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· 6.9 avgHow good it is, across universal quality axes
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· 7.6 avgWhat it can do, per category it works in · showing 10 of 10 tasks scoring 5+
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Who It's For3 rolesSoftware DevelopersData ScientistsComputer and Information Research Scientists
Platform, Content & Languages2 content types1 languagesCodeTextEnglish+6 more
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Excellent
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Confidence: High
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Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Switching & Migration
Company Name
LangChain
Founded
2023
Based in
United States
Last major update
Aug 2026
Funding
Series B · $260M