# langchain-ai/langgraphjs

Framework to build resilient language agents as graphs.

Repository: https://github.com/langchain-ai/langgraphjs
Canonical: https://ross.abutalabs.com/products/langgraphjs
Homepage: https://docs.langchain.com/oss/javascript/langgraph/
Language: TypeScript
License: MIT
License Family: permissive
Topics: agents, ai, typescript, artificial-intelligence, generative-ai, llm, node
Last push: 2026-08-26T22:08:28+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 69
- inputs: {"age_days": 967, "days_push": 7, "days_rel": 7, "gap_med": 0, "n_releases_24m": 508}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3236, forks 563 (observed 2026-08-28T04:07:50.254048+00:00)

## What it is
LangGraph.js is a TypeScript/JavaScript framework for building stateful, long-running LLM agents as graphs of nodes and edges, mixing deterministic code with LLM-driven steps. It provides durable execution, streaming, human-in-the-loop interrupts, and a runtime for orchestrating complex agent workflows.

## Use cases
- build a multi-step LLM agent in TypeScript
- orchestrate AI agents as stateful graphs
- add human-in-the-loop approval to agent workflows
- build long-running stateful agents with durable execution
- mix deterministic code with LLM tool-calling steps
- stream agent state updates to a UI
- build a calculator or tool-calling agent with Claude or OpenAI

## When to choose
- you need fine-grained control over agent control flow in JavaScript/TypeScript
- you need stateful, long-running agents with persistence and interrupts
- you want to combine hand-coded steps with LLM-driven steps in one workflow
- you're already in the LangChain ecosystem and need low-level orchestration

## When to avoid
- you want a simple prebuilt agent loop with minimal boilerplate - use higher-level LangChain agents
- you're building in Python and prefer the original LangGraph
- your app doesn't involve LLMs or agentic workflows
- you need a no-code agent builder

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, workflow-automation, llm-inference, state-management, streaming
- domain: large-language-models, artificial-intelligence, developer-tools
- platform: cross-platform
- tags: langgraph, langchain, llm-agents, graph-api, human-in-the-loop, durable-execution, orchestration, ai-agents, nodejs, typescript

## Member repositories
- langchain-ai/langgraphjs (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:50.254048+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:24:35.748090+00:00, confidence not recorded.
  - readme: https://github.com/langchain-ai/langgraphjs (fetched 2026-08-28T04:07:50.254048+00:00, sha 0de219091387)
  - homepage: https://docs.langchain.com/oss/javascript/langgraph/ (fetched 2026-08-29T09:37:45.439568+00:00, sha 417e57bc6a95)
  - site_page: https://docs.langchain.com/ (fetched 2026-08-29T09:37:45.448748+00:00, sha e6cbe67a291c)
  - site_page: https://docs.langchain.com/oss/javascript/integrations/providers/overview (fetched 2026-08-29T09:37:45.450690+00:00, sha 7515eb0371ae)
  - site_page: https://docs.langchain.com/oss/javascript/langgraph/install (fetched 2026-08-29T09:37:45.452683+00:00, sha d4d60654e957)
  - site_page: https://docs.langchain.com/oss/javascript/langgraph/quickstart (fetched 2026-08-29T09:37:45.454461+00:00, sha bc55c7f35dbe)
  - site_page: https://docs.langchain.com/oss/javascript/releases/changelog (fetched 2026-08-29T09:37:45.456330+00:00, sha c721685caee9)
  - site_page: https://docs.langchain.com/langsmith/trace-with-langchain (fetched 2026-08-29T09:37:45.458676+00:00, sha 32a7ec425016)
  - site_page: https://docs.langchain.com/use-these-docs (fetched 2026-08-29T09:37:45.461252+00:00, sha 5ab7220bb555)
  - site_page: https://changelog.langchain.com/ (fetched 2026-08-29T09:37:45.463182+00:00, sha 3c5994039295)
- Data as of 2026-08-30T08:39:29.467469+00:00.