JVM LLM application frameworks
LangChain4j is a Java/JVM library that provides a unified API to build LLM-powered applications, including tools, agents, and RAG.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose if you want a JVM agent framework with a focus on cross-platform support and fault-tolerance.
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose if you work in Python and want the original LangChain library with the largest community.
The agent engineering platform.
Choose if you are building Python multi-agent systems and want a lightweight framework.
A lightweight, powerful framework for multi-agent workflows
Choose if you need a Python toolchain for evaluating and deploying LLM workflows.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose if you want an enterprise agent platform with UI instead of coding in Java.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Choose if you want a private AI assistant/search platform with an agent builder.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Choose if you need a ready-made platform for IM bots rather than building one.
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow
Choose if you want a visual chatbot/agent builder rather than a JVM framework.
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Choose if you prefer a visual agent engineering platform over coding.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Choose if you want to build agents via a no-code visual builder rather than in Java.
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
These projects were analysed and named langchain4j among their alternatives. The relationship is not symmetric — how langchain4j rates them is a separate judgement, made when langchain4j is analysed in its own right.
calls langchain4j “Java/JVM library for building LLM apps; choose it for a JVM codebase instead of a Python IM platform.”
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨