🦜🕸️ LangGraph
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.
1 maintainer
Metadata
1 maintainer
Release files for langgraph 1.2.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| langgraph-1.2.20.tar.gz | 786.3 kB | Without provenance | Details for langgraph-1.2.20.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| langgraph-1.2.20-py3-none-any.whl | Python 3 | none | any | Details for langgraph-1.2.20-py3-none-any.whl |
Total release size: 1.0 MB
Release files / langgraph-1.2.20.tar.gz
| Download URL | langgraph-1.2.20.tar.gz |
|---|---|
| Size | 786.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
79f86df92f2dd17d5ec464cab68dbb685439ab102ca39f0b1b7b198025a2414c
|
|
BLAKE2b-256 checksum How to use checksums |
4177892e53207bfadd4b114d274737735444d06216ec9a88dfc4def9bd888254
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Release files / langgraph-1.2.20-py3-none-any.whl
| Download URL | langgraph-1.2.20-py3-none-any.whl |
|---|---|
| Size | 263.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2b9fd01c3d5e0652e6c9b436dc0341413788010eb279ac8c46a733cf485d848b
|
|
BLAKE2b-256 checksum How to use checksums |
6c13df761ed2ac03dfc3e639f10b1af13573fea27f0885b69081d79c513de04d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Security for langgraph 1.2.20
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.
