Skip to main content

🦜🕸️ LangGraph

PyPI - Version PyPI - License PyPI - Downloads Open Issues Twitter

Looking for the JS/TS version? Check out LangGraph.js.

To help you ship LangGraph apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.

Quick Install

uv add langgraph

🤔 What is this?

LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. LangGraph provides the infrastructure for durable execution, streaming, human-in-the-loop, persistence, memory, and more.

We recommend you use LangGraph when you have advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency. Use LangChain when you want to quickly build agents and applications powered by LLMs using pre-built agent architectures and model integrations.

LangChain agents are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)

Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is used to ship AI applications at scale.

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangGraph, see the LangGraph Docs. Get started with the LangGraph Quickstart.

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

Acknowledgements

LangGraph is inspired by Pregel and Apache Beam. The public interface draws inspiration from NetworkX. LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.

Metadata

Release files for langgraph 1.2.19

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for langgraph 1.2.19
File Size Uploaded Provenance Actions
langgraph-1.2.19.tar.gz 782.6 kB Without provenance Details for langgraph-1.2.19.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for langgraph 1.2.19
File Interpreter ABI Platform Actions
langgraph-1.2.19-py3-none-any.whl Python 3 none any Details for langgraph-1.2.19-py3-none-any.whl

Total release size: 1.0 MB

Release files / langgraph-1.2.19.tar.gz

Download URL langgraph-1.2.19.tar.gz
Size 782.6 kB
Tags Source
SHA-256 checksum
How to use checksums
4a00fa1aad2b5fc2d3a789a8e9eaf993f76218ca924b434902ecf1bbaaf300f6
BLAKE2b-256 checksum
How to use checksums
ba10329dc49ce3fc40e36faafd407f08607fe3fab75613e709a66758b53faac2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / langgraph-1.2.19-py3-none-any.whl

Download URL langgraph-1.2.19-py3-none-any.whl
Size 262.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6094a5cbed52a77d8c74c276fcd2056abde7b2836eab1c7a6b74bacbd1a269b3
BLAKE2b-256 checksum
How to use checksums
d79ebd29e368fb16feea8d24270d377d56c34b49afea371717124f19cdfa890c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Security for langgraph 1.2.19

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.2.19 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page