LangGraph.js
The JavaScript/TypeScript implementation of LangGraph, designed for building stateful, multi-step AI agent applications. It supports code-level orchestration of both workflow-type and general-purpose agents, enabling developers to define and manage complex agent logic using JavaScript or TypeScript within the LangGraph framework.
Timeline (last 90 days)
Front-end AI ecosystem frameworks include LangChain.js/LangGraph.js (agent orchestration), RAGFlow.ts (RAG engineering), Mastra (Agent development), and LlamaIndex.ts (data indexing and retrieval layer).
LangChain.js and LangGraph.js can already support quite a few common scenarios.
A developer built a self-hosted GitLab AI Agent based on LangGraph.js, named langgraph-harness, and open-sourced it under the MIT license.
LangChain.js, LangGraph.js, and DeepAgent are not alternatives to one another, but rather a technology selection ladder with progressively increasing complexity.
All Facts (7)
LangGraph.js于2024年正式发布，与LangChain.js深度集成
85%UnverifiedLangGraph.js建议的Agent分层架构分为引擎层、能力层和业务层三层
70%UnverifiedEnterprise-level Agent projects tend to favor code-based orchestration solutions over visual orchestration platforms, because code-based solutions have significant advantages in maintainability, testability, and long-term evolution capability.
60%UnverifiedFront-end AI ecosystem frameworks include LangChain.js/LangGraph.js (agent orchestration), RAGFlow.ts (RAG engineering), Mastra (Agent development), and LlamaIndex.ts (data indexing and retrieval layer).
50%UnverifiedLangChain.js and LangGraph.js can already support quite a few common scenarios.
50%UnverifiedLangChain.js, LangGraph.js, and DeepAgent are not alternatives to one another, but rather a technology selection ladder with progressively increasing complexity.
50%UnverifiedA developer built a self-hosted GitLab AI Agent based on LangGraph.js, named langgraph-harness, and open-sourced it under the MIT license.
50%