langgraph

Build resilient language agents as graphs.

View on GitHub↗Upstream langchain-ai/langgraph↗

Builder

LangChain

langchain-ai • startup

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28,289

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4,835

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Activity Score

0/100

131 commits in 30d

Created

Aug 9, 2023

Project creation date

README Summary

LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. It extends LangChain with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner. LangGraph is inspired by Pregel and Apache Beam, designed to add better support for cyclical flows that are common in agent-like behaviors.

AI Dev Skills

Unmapped

Tags

Multi-Agent SystemsGraph-based AI WorkflowsStateful Language Model ApplicationsAgent OrchestrationLarge Language Model IntegrationConversational AI ArchitectureHuman-in-the-Loop AI SystemsStreaming AI ApplicationsTool-using AI AgentsWorkflow State ManagementOn-premiseComplex workflow automationIterative problem-solving agentsMulti-step reasoning agentsTool-using chatbotsMulti-actor dialogue systemsBranching conversation flowsStateful AI ApplicationsServerlessHuman-supervised AI tasksCloud APITextCompound AI SystemsMulti-Agent CollaborationHuman-in-the-Loop AICodeConversational AI with memorySelf-hostedAgentic AIPython

Recent Activity

Updated 23 days ago

7 Days

30 Days

131

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257

Quality

production

Quality: high
Maturity: production

PM Skills

Scale & Reliability

Languages

Python100.0%

Timeline

Project created: Aug 9, 2023
Forked: Mar 21, 2026
Your last push: 23 days ago
Upstream last push: 6 days ago
Tracked since: Mar 21, 2026

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