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LangGraph

Free plan

Stateful AI agent orchestration

An open-source orchestration framework for designing and deploying long-running, stateful AI agents as graph structures. With state persistence, human-in-the-loop, and short- and long-term memory, it controls complex multi-step agent workflows.

Open sourceAPI availableCommercial use OK
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Edge

vs. similar tools: Its advantage is graph-based state persistence that enables pause-and-resume, rollback, and audit trails, making it strong for production agents.

Pricing

PlanMonthly priceLimits
Open Source$0/moMIT 라이선스 라이브러리, 무료 사용
LangGraph Platform--

AI Score

Computed by AI from public info and internal criteria (not a measured benchmark)

89

Overall score

Category average +5
ControlKorean supportValue for moneyEase of useEcosystem / Integration

Not a measured benchmark — this is a score computed by AI based on information published on the web and internal evaluation criteria.

Popularity

Buzz and recognition within the same category (not a quality score)

27

Relative score within category

  • Domain authority3.8 / 10
  • Hacker News buzz491 pts
  • GitHub stars★ 33,462

A buzz metric computed by normalizing public signals — GitHub stars, Hacker News mentions, domain authority, and more — per category. Popularity is a different axis from quality and can disadvantage new or niche tools, so we use it only as a supplementary indicator. Collected: 2026-05-31.

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By AI score

  • 91
    Hugging Face

    Its strength is being the de facto standard hub, offering hundreds of thousands of public models and datasets alongside inference and deployment infrastructure on a single platform.

  • 90
    OpenRouter

    Its strength is passing through provider pricing as-is while offering automatic fallback and model routing from a single key.

  • 88
    LiteLLM

    Its strength is the MIT-licensed core you can self-host, running virtual keys, budgets, and cost tracking without ever sending data outside your environment.

  • 87
    Ollama

    Its strength is pulling open models with a single command and running them as a local API server, enabling offline inference with no data leaving your machine.

  • 86
    Pinecone

    Its strength is a serverless model where you pay only for storage and read/write usage with no capacity to reserve, making it well suited to variable workloads.

Compare LangGraph

LangGraph vs ComposioLangGraph vs Hugging FaceLangGraph vs LangfuseLangGraph vs LiteLLMLangGraph vs Ollama

Last updated: 2026-05-30

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