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
Paid Plans
API Cost
LangGraph Trust & Security Report
Certifications, AI-training posture, and security controls, with sourced proof.
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
