langgraph 1.2.6
pip install langgraph
Released:
Building stateful, multi-actor applications with LLMs
Navigation
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
👁 Avatar for langchain from gravatar.comlangchain
Unverified details
These details have not been verified by PyPIProject links
Meta
-
License Expression: MIT
SPDX License Expression - Requires: Python >=3.10
Classifiers
- Development Status
- Programming Language
Project description
🦜🕸️ 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
uvaddlanggraph
🤔 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.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
👁 Avatar for langchain from gravatar.comlangchain
Unverified details
These details have not been verified by PyPIProject links
Meta
-
License Expression: MIT
SPDX License Expression - Requires: Python >=3.10
Classifiers
- Development Status
- Programming Language
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file langgraph-1.2.6.tar.gz.
File metadata
- Download URL: langgraph-1.2.6.tar.gz
- Upload date:
- Size: 714.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f9b45a34f13930c94d96cdb76277447ad2cc70ec2d18cd2764d7fdadb36cdc1b
|
|
| MD5 |
3633bffa8c4c0e4cb60d01ef8e052597
|
|
| BLAKE2b-256 |
027aea09b05bb0cbddfa43bd34fc581357e87fc3f21a751cc0d419688c3106da
|
File details
Details for the file langgraph-1.2.6-py3-none-any.whl.
File metadata
- Download URL: langgraph-1.2.6-py3-none-any.whl
- Upload date:
- Size: 246.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1cf94d3ca124f84f77ce408fa1b06c3dee680a8aafffe364a8fd5d7d03eb8695
|
|
| MD5 |
d3e22ed965cb86cd7de38a159dc6ee00
|
|
| BLAKE2b-256 |
8932772db1b00a9fe42f50320d1aa20caefb76e621eff1f7218b9918093d631d
|