LangGraph

Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory.

Harness by LangChain

IndexedMIT★ 43,823

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pip install langgraph

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About

LangGraph is a runtime and low-level framework for stateful agents and workflows that can run for a long time and resume after failures. It supports human oversight by inspecting and changing agent state during a run, token-by-token streaming, and memory that covers both working state and persistence across sessions. Control flows can be single-agent, multi-agent or hierarchical. It pairs with LangSmith for tracing and with LangSmith Deployment for hosting.

Use cases: agent-orchestration

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Fact sheet

Languages: PythonREADME
Packages: langgraph (pypi)README
Multi-agent: Yeslangchain.com
Orchestration: graphREADME
Streaming: Yeslangchain.com
Memory: short-term, long-termREADME
Human in the loop: YesREADME
Observability: LangSmithREADME
Deploys to: langsmith-deploymentREADME
Maturity: Stablegithub.com

Facts extracted by Claude Sonnet 5.5 from the linked sources on Oct 24, 2026; reviewed Oct 24, 2026. Wrong fact? Tell us.

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Signals

Stars: 43,823
Forks: 7,527
Open issues: 358
Weekly downloads: 13,114,431
Last commit: Oct 24, 2026 (7 days ago)
Last release: Oct 24, 2026 (7 days ago)
Last package publish: Oct 24, 2026 (7 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages: pypi langgraph
License: MIT
Repository: github.com/langchain-ai/langgraph
Website: www.langchain.com/langgraph
Docs: docs.langchain.com/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Docs Website README github-graphql

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Cite this page

LangGraph. Agent Mart. https://agentmart.dev/harnesses/langgraph (last updated 2026-10-24)