LLM Application Framework · Public

langgraphjs

LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.

LLM appsRAGTool callingPythonFramework migration

Best fitDevelopers building Python LLM apps, RAG workflows, tool calling, or agent prototypes that need a shared abstraction layer.

Check whether this project matches your task before installing it.

What it can doStructured LLM app starting paths, RAG/tool-calling checks, migration reminders, permission boundaries, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshotstars unavailable

forks unavailable · contributors unavailable

Doramagic.ai Last verification date: 2026-06-18 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-18

What is langgraphjs?

langgraphjs is an LLM application framework for model, prompt, tool, retrieval, chain, and callback interfaces.
Best fit: Developers building Python LLM apps, RAG workflows, tool calling, or agent prototypes that need a shared abstraction layer.
Not for: Not for one-off model API calls, simple prompting, or stateful agent orchestration work that should first compare LangGraph-style options.
Capability added to an AI workflow: Structured LLM app starting paths, RAG/tool-calling checks, migration reminders, permission boundaries, and acceptance checks
First safe verification step: Verify install, import, and one minimal task path in a temporary Python environment before using a primary project.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/langchain-ai/langgraphjs, https://www.npmjs.com/package/@langchain/langgraph, https://github.com/langchain-ai/langgraphjs#readme, Human Manual

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers building Python LLM apps, RAG workflows, tool calling, or agent prototypes that need a shared abstraction layer.

Match the project to your task before installing it.

CapabilityStructured LLM app starting paths, RAG/tool-calling checks, migration reminders, permission boundaries, and acceptance checks

LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.

Repositorylangchain-ai/langgraphjs

stars unavailable · forks unavailable

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Core Framework: StateGraph, Channels & Pregel Runtime

Related topics: Persistence, Checkpointing & Long-Term Memory, Streaming Protocols, Prebuilt Patterns & Multi-Agent Ecosystem

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

Persistence, Checkpointing & Long-Term Memory

Related topics: Core Framework: StateGraph, Channels & Pregel Runtime, SDK, API Server, CLI & Frontend Framework Integrations

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

SDK, API Server, CLI & Frontend Framework Integrations

Related topics: Core Framework: StateGraph, Channels & Pregel Runtime, Persistence, Checkpointing & Long-Term Memory, Streaming Protocols, Prebuilt Patterns & Multi-Agent Ecosystem

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

Streaming Protocols, Prebuilt Patterns & Multi-Agent Ecosystem

Related topics: Core Framework: StateGraph, Channels & Pregel Runtime, SDK, API Server, CLI & Frontend Framework Integrations

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/langchain-ai/langgraphjs, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Starsstars unavailable

Forksforks unavailable

Contributorscontributors unavailable

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using langgraphjs with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Cross-thread checkpoint data contamination when using singleton agent wi
github / github_issue
02
What format data does `AIMessage` has to have to give `contentBlock` wit
github / github_issue
03
`streamEvents` v3 produces `AIMessage` with empty `tool_calls` when mode
github / github_issue
04
MongoDBSaver missing indexes causes full collection scans
github / github_issue
05
@langchain/[email protected]
github / github_release
06
@langchain/[email protected]
github / github_release
07
@langchain/[email protected]
github / github_release
08
@langchain/[email protected]
github / github_release
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@langchain/[email protected]
github / github_release
10
@langchain/[email protected]
github / github_release
11
@langchain/[email protected]
github / github_release
12
@langchain/[email protected]
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npm install @langchain/langgraph

Official start command · https://github.com/langchain-ai/langgraphjs#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

langgraphjs Manual

LangGraph.js provides two complementary persistence abstractions that together power durable, stateful agents. The first is checkpointing, which captures the short-term, per-thread state o...

Open the full manual

https://github.com/langchain-ai/langgraphjs Project Manual
Table of Contents
Core Framework: StateGraph, Channels & Pregel Runtime
Related Pages
Purpose and Scope
StateGraph and Annotation
Channels
Pregel Runtime

Core Framework: StateGraph, Channels & Pregel Runtime

Related topics: Persistence, Checkpointing & Long-Term Memory, Streaming Protocols, Prebuilt Patterns & Multi-Agent Ecosystem

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

Persistence, Checkpointing & Long-Term Memory

Related topics: Core Framework: StateGraph, Channels & Pregel Runtime, SDK, API Server, CLI & Frontend Framework Integrations

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

SDK, API Server, CLI & Frontend Framework Integrations

Related topics: Core Framework: StateGraph, Channels & Pregel Runtime, Persistence, Checkpointing & Long-Term Memory, Streaming Protocols, Prebuilt Patterns & Multi-Agent Ecosystem

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

Streaming Protocols, Prebuilt Patterns & Multi-Agent Ecosystem

Related topics: Core Framework: StateGraph, Channels & Pregel Runtime, SDK, API Server, CLI & Frontend Framework Integrations

Source: https://github.com/langchain-ai/langgraphjs / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.