{
  "slug": "langchain-langgraph-project",
  "name": "LangGraph (by LangChain)",
  "description": "LangGraph is a library designed for building stateful, multi-agent applications with LLMs, built on top of LangChain. It enables the creation of complex workflows involving cycles and persistence, which are critical for sophisticated agentic behavior.",
  "url": "https://optimly.ai/brand/langchain-langgraph-project",
  "logoUrl": "",
  "baiScore": 62,
  "archetype": "Challenger",
  "category": "Software Development Tools",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "crewai",
      "name": "Crewai"
    },
    {
      "slug": "microsoft-autogen",
      "name": "Microsoft AutoGen"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "openai-assistants-api",
      "name": "OpenAI Assistants API"
    }
  ],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-04-11T14:30:30.029+00:00",
  "verifiedVitals": {
    "website": "https://langchain-ai.github.io/langgraph/",
    "founded": "2024",
    "headquarters": "San Francisco, CA",
    "pricing_model": "Free (Open Source), Enterprise (via LangChain Cloud/LangSmith)",
    "core_products": "LangGraph (Python and JS/TS library)",
    "key_differentiator": "The first major framework to treat cycles (loops) and state persistence as first-class citizens in LLM orchestration, rather than hacks.",
    "target_markets": "AI Engineers, Software Developers, Enterprise AI Teams",
    "employee_count": "11-50 (Parent Company)",
    "funding_stage": "Series A (Parent Company)",
    "subcategory": "AI Orchestration Frameworks"
  },
  "intentTags": {
    "problemIntents": [
      "Custom Hardcoded Logic: Manually managing state and transitions using complex nested loops and if/else blocks in standard Python/TypeScript.",
      "Do Nothing / Stateless Scripting: Staying with basic prompt-response patterns without persistent state or multi-agent collaboration."
    ],
    "solutionIntents": [
      "framework for stateful multi-agent workflows",
      "how to add loops to langchain",
      "best way to build an AI agent that can pause for human approval",
      "enterprise grade ai workflow orchestration",
      "Linear Chaining Tools: Using simpler, linear chains for tasks that actually require cycles, leading to poor error recovery."
    ],
    "evaluationIntents": [
      "langgraph vs autogen"
    ]
  },
  "timestamp": 1776055982582
}