BSD Ports

ai/py-langgraph 1.1.2_1 MidnightBSD

LangGraph: Building stateful, multi-actor applications with LLMs

System
MidnightBSD
Repository
mports
Maintainer
[email protected]
Last update
Commit
dee1e47e52
License
mit
Categories
ai, python

Description

LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.

Core benefits of LangGraph include:

  • Durable execution: Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
  • Human-in-the-loop: Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
  • Comprehensive memory: Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
  • Debugging with LangSmith: Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
  • Production-ready deployment: Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.

Install

Binary package:

mport install ${PYTHON_PKGNAMEPREFIX}langgraph

From mports:

cd /usr/mports/ai/py-langgraph && make install clean

To depend on this port in another port's Makefile:

RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}langgraph>0:ai/py-langgraph

Dependency graph

Ports that need it on the left, what it needs to run on the right; at most 8 of each. "Dependencies" below lists them all.

Dependencies

As this port's Makefile names them.

Build 2

Runtime 6

Build dependencies 2
Run dependencies 6

Configuration

No options to configure.

USES
python
Service scripts
none

Files

distinfo 1
FileSizeSHA256
langgraph-1.1.2.tar.gz544288c4385ce349823a590891b3f6b1c46b54f51d0134164056866e95034985f047c9
Master sites 1
  • PYPI

Commit history 1

DateCommitCreditsLog message
dee1e47e52 Lucas Holt ai: add new category and move AI/ML ports from misc
Create the ai category (Artificial intelligence and machine learning) and relocate 42 AI/ML ports from misc into it. - Register ai in Mk/bsd.mport.mk VALID_CATEGORIES and the top-level Makefile - Add ai/Makefile; drop the moved entries from misc/Makefile (also removes the stale linux-claude SUBDIR left over from the claude-code rename) - git mv 42 ports and set their primary CATEGORIES to ai - Rewrite misc/<port> dependency origins to ai/<port> in external dependents (devel/py-beartype, math/py-faiss, multimedia/py-torchcodec, textproc/py-tokenizers) and among the moved ports themselves - Record the origin migrations in MOVED Ports moved: chatgpt-shell-cli, claude-code, claude-code-legacy, clawhub, codex, gemini-cli, github-copilot-cli, grok-cli, lean-ctx, llama-cpp, ollama, …