It is a stateful orchestration framework designed to build and scale agentic applications that reliably handle complex tasks. LangGraph enables developers to create AI agents capable of automating real-world tasks through flexible control flows, including single-agent, multi-agent, hierarchical, and sequential workflows. It supports robust moderation and quality loops to ensure agents stay on track and provides tools for templatizing cognitive architectures, making it easy to configure tools, prompts, and models.
LangGraph facilitates seamless human-agent collaboration by allowing agents to draft actions for review and await approval before execution. Developers can inspect agent actions, “time-travel” to roll back decisions, and correct course as needed. It also bridges user expectations and agent capabilities with native token-by-token streaming and intermediate step streaming, enabling real-time visibility into agent reasoning and actions.
The LangGraph Platform offers APIs for crafting dynamic and interactive user experiences, deploying scalable infrastructure, and managing long-term memory for personalized interactions. It supports horizontally scaling servers, task queues, intelligent caching, and automated retries to handle large workloads gracefully. Developers can prototype, debug, and share agents using the visual LangGraph Studio and deploy applications with one-click SaaS or within their own VPC.
LangGraph is open-source under an MIT license, while the LangGraph Platform is proprietary, offering free and paid deployment options, including Self-Hosted Lite, Cloud SaaS, Bring Your Own Cloud (BYOC), and Self-Hosted Enterprise. It is trusted by companies across industries for building reliable, production-ready AI agents, with features like fault-tolerant scalability, dynamic APIs, and an integrated developer experience.
It is an all-in-one developer platform designed to support every phase of the lifecycle of LLM-powered applications, whether built with LangChain or not.
It is a simple general-purpose autonomous agent called MiniAGI, designed to operate using the OpenAI API, specifically compatible with GPT-3.5-Turbo and GPT-4.
It is a comprehensive cloud-based testing platform designed to facilitate manual and automated testing across various browsers, devices, and operating systems.
It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production.
It is a platform designed to provide AI agent infrastructure, enabling startups, AI founders, and SaaS companies to build, deploy, and scale AI-driven solutions efficiently and cost-effectively.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is an AI-driven observability platform designed to monitor, analyze, and optimize GitHub Actions workflows by detecting anomalies, identifying root causes, and providing actionable fixes to improve CI pipeline performance and developer productivity.
It is a platform designed to integrate generative AI (GenAI) agents into business applications, enabling dynamic digital interactions, enhanced productivity, and improved performance using large language models (LLMs), natural language processing, and proprietary data.
It is a Python-based system called BabyCommandAGI, designed to explore the interaction between Command Line Interface (CLI) and Large Language Models (LLMs), which are older computer interaction methods compared to Graphical User Interfaces (GUI).
It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production.
It is a platform that enables businesses to create and deploy digital employees, or AI Agents, capable of seeing, speaking, listening, thinking, executing actions, and acting autonomously, even with a physical presence through avatars.
It is an open-source framework designed to provide AI Agents with reliable memory capabilities for decision-making, personalized goal setting, and execution in AI applications.
It is an AI-powered phone agent designed to automate appointment booking and customer support, revolutionizing how businesses handle these tasks efficiently and cost-effectively.
It is an AI-powered cloud browser platform designed to automate web browsing tasks, enabling users to scrape data, control websites, and run scalable, long-running automated sessions effortlessly.
