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Alex1980Alex
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langgraph-core

Construct and orchestrate graph- and function-based workflows with deterministic execution.

1|Updated Sep 20, 2025
Search Tags:#workflow#langgraph#graph-api#interrupts#durable-execution#subgraphs#functional-api
One-click install
npx skills add https://github.com/Alex1980Alex/1C-Enterprise_Framework --skill langgraph-core-alex1980alex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langgraph-core
Source: https://github.com/Alex1980Alex/1C-Enterprise_Framework/tree/main/.claude/skills/langgraph-core
Command: npx skills add https://github.com/Alex1980Alex/1C-Enterprise_Framework --skill langgraph-core-alex1980alex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangGraph Core provides a compact, structured runtime for building and executing graph- and functional-based workflows, enabling deterministic, interruptible, and scalable stateful processing.

Core Features & Use Cases

  • Graph API and Functional API for building stateful workflows with deterministic execution
  • Supports subgraphs, interrupts, durable execution, and Pregel runtime
  • Enables end-to-end workflow orchestration with planning, execution, and persistence, suitable for AI agents, data pipelines, and complex decision graphs

Quick Start

Install the LangGraph package and define a simple workflow using StateGraph and entrypoint to run a basic example.

Frequently Asked Questions about langgraph-core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build stateful workflows with deterministic execution for AI agents?▼

You can build stateful workflows with deterministic execution by using Graph API and Functional API to orchestrate complex processing, enabling interruptible and scalable stateful execution for AI agents.

What is durable execution in graph-based data pipelines?▼

Durable execution in graph-based data pipelines ensures stateful orchestration persists across interruptions, allowing reliable end-to-end workflow execution with planning and persistence capabilities.

Can I use subgraphs and interrupts in a Pregel-like runtime?▼

Yes, the Pregel-like runtime supports subgraphs and interrupts, allowing you to construct and orchestrate complex decision graphs requiring stateful orchestration and deterministic execution.

Does LangGraph support Python 3.10+ for functional API workflows?▼

Yes, LangGraph supports Python 3.10+ compatibility when constructing and orchestrating functional API workflows, providing a compact structured runtime for stateful processing.

When do I need interrupts and subgraphs for workflow orchestration?▼

Interrupts and subgraphs are needed for workflow orchestration when building complex decision graphs requiring stateful processing, enabling deterministic execution and durable persistence across nested operations.

What's the best way to structure decision graphs requiring stateful orchestration?▼

The best way to structure decision graphs requiring stateful orchestration is using a compact runtime with Graph API and Functional API, supporting deterministic execution, subgraphs, and durable execution.

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