>> OPEN TOOL

    LangGraph is an open-source framework by LangChain for building stateful, multi-actor AI agent applications with cycles and branching logic. It uses graph-based architecture to model complex agent interactions, enabling developers to build production-grade agentic workflows with fine-grained control.

    Category

    Agentic & Automation

    Subcategory

    AI Agents

    Free Tier

    Open source, free to use

    Paid Plans

    LangSmith cloud platform for monitoring from $39/month

    API Cost

    LLM API costs apply

    APICLI

    LangGraph Trust & Security Report

    Certifications, AI-training posture, and security controls, with sourced proof.

    VIEW
    SOC 2 Type IIGDPRHIPAA

    Verified against LangGraph's own trust and security pages. See the full report for sourced proof →

    Region

    The vendor's regions FAQ documents four hosted instances: GCP US (default, smith.langchain.com), GCP EU (eu.smith.langchain.com), GCP APAC (apac.smith.langchain.com), and AWS US (aws.smith.langchain.com); a specific GCP region ID (e.g. us-central-1) is not published on the vendor domain. The trust center subprocessor list shows data-location options of USA or Netherlands (GCP, ClickHouse), USA (AWS), and US or Germany (Supabase). Enterprise customers can self-host or run BYOC on their own AWS/GCP/Azure/Kubernetes so data stays in their environment.

    Trains on Data

    No

    Self-hostable

    Yes

    Complex agent workflow buildingMulti-step reasoning systemsHuman-in-the-loop agent appsStateful conversation managementProduction AI agent deployment

    // MORE IN AI AGENTS

    AutoGPT logoAutoGPT
    Open Source
    Agentic & AutomationAI Agents
    #autonomous agent#open source
    CrewAI logoCrewAI
    Open Source
    Agentic & AutomationAI AgentsVerified
    #multi-agent#ai orchestration
    Autogen (Microsoft) logoAutogen (Microsoft)
    Open Source
    Agentic & AutomationAI Agents
    #multi-agent#microsoft