About This Ranking榜单说明
"Which AI agent platform is best" is the wrong question — 2026 comparisons keep landing on the same split: Dify is AI-first (the LLM is the core actor, with built-in RAG and native agent mode), n8n is workflow-first (400+ integrations, with AI as one step in a larger automation). The rest of the field fills the gaps: Coze for zero-code beginners, FastGPT for knowledge-base RAG, Langflow and Flowise for developers who want code-adjacent control."AI 智能体平台哪个好"是个问错了的问题——2026 年的对比都落到同一个分叉上：Dify 是 AI 优先（LLM 是核心，RAG 内置、智能体原生），n8n 是工作流优先（400+ 集成，AI 只是大自动化里的一环）。其余选手补位：扣子给零代码新手，FastGPT 给知识库 RAG，Langflow 和 Flowise 给想要代码级控制的开发者。
The honest caveat up front: the Chinese agent-platform landscape moved fast in 2026. Coze's team was merged into Doubao in late August 2026, its open-source edition stopped releasing after February 2026, and old apps can no longer be edited or used — so this ranking treats Coze as a watch-with-caution entry, not a safe default. Also note: since July 15, 2026, China's interim rules on anthropomorphic AI interaction services have pushed consumer-facing agent builders (Doubao, Qwen) to pull their self-built agent portals — a regulatory backdrop every domestic builder should know.先把丑话说在前头：2026 年国内智能体平台格局变化很快。扣子团队 2026 年 8 月底并入豆包体系，开源版 2026 年 2 月后停更，旧版应用已无法编辑或使用——所以本榜单把扣子列为谨慎观察项，不是默认安全选项。另外：2026 年 7 月 15 日《人工智能拟人化互动服务管理暂行办法》施行后，面向 C 端的自建智能体入口（豆包、千问）已下线——这是每个国内开发者都该知道的监管背景。
If I had to give one rule for 2026: start with the question, not the platform. If the agent interaction itself is the product — a support bot, a knowledge-base Q&A — Dify gets you to a working system fastest, and its RAG pipeline is genuinely best-in-class. If the value is in moving data between systems — approvals, alerts, CRM syncs with an LLM drafting step — n8n's integration depth wins and nothing else is close. For teams in China, FastGPT deserves a serious look for RAG-heavy work, and Dify's Chinese documentation is a real advantage. And Coze? Admire the zero-code UX, but don't park production workloads on a platform whose roadmap is now someone else's reorganization plan.
如果 2026 年只能给一条规则：先问问题，再选平台。如果智能体交互本身就是产品——客服机器人、知识库问答——Dify 能最快做出可用系统，它的 RAG 管道确实是同类最强。如果价值在于系统间搬数据——审批、告警、CRM 同步里加一段 LLM 起草——n8n 的集成深度无人能及。国内团队做重 RAG 的活，FastGPT 值得认真看；Dify 的中文文档是实打实的优势。至于扣子？欣赏它的零代码体验，但别把生产 workload 停在一个路线图已变成别人组织调整计划的平台上。
— 中国吧 AI Tools Hub Editorial Team
The 2026 Rankings2026 年榜单排名
Six agent platforms, ranked by fit for real 2026 workloads. Each card links to the official site.6 款智能体平台，按 2026 年真实工作负载的适用度排名。每张卡片附官网链接。
The AI-first platform: a visual builder for agents, workflows and chat apps with the best built-in RAG pipeline in the category (upload, chunk, embed, retrieve out of the box), 100+ models through a provider UI, and native agent mode. Free to self-host (Community edition), with Dify Cloud offering a free Sandbox tier. The fastest path from idea to a working LLM-native product in 2026. 本站 Dify 详情页 ↗AI 优先的平台：可视化搭建智能体、工作流和对话应用，RAG 管道是品类里开箱即用最强的（上传、分块、向量化、检索一条龙），100+ 模型一键接入，原生智能体模式。自部署免费（Community 版），云版有免费 Sandbox 档。2026 年从想法到可用 AI 原生产品的最快路径。本站 Dify 详情页 ↗
The workflow-first platform: 400+ pre-built integrations with mature auth and retry handling, plus an AI Agent node (LangChain-based) that turns workflows into agents. Self-hosted Community Edition is free with unlimited executions; n8n Cloud meters workflow executions. The pick when the agent's value is touching many real systems — and it composes cleanly with Dify via webhook. 本站 n8n 详情页 ↗工作流优先的平台：400+ 预置集成，鉴权和重试机制成熟，AI Agent 节点（基于 LangChain）把工作流变成智能体。自部署 Community 版免费且执行次数不限；云版按工作流执行次数计费。智能体价值在于串联真实系统时的首选——还能通过 webhook 和 Dify 组合使用。本站 n8n 详情页 ↗
ByteDance's zero-code agent builder — now in transition. In late August 2026 the Coze team was merged into the Doubao organization, the slogan changed to a workplace AI companion, the open-source coze-studio stopped releasing after February 2026, old AI-generated apps can no longer be edited or used, cross-platform publishing endpoints are being retired, and old subscription plans face forced migration by end of 2026. Easiest to start with, hardest to bet a roadmap on. 本站 Coze 详情页 ↗字节的零代码智能体搭建器——但正在过渡期。2026 年 8 月底团队整体并入豆包体系，官网标语改为"职场AI伙伴"，开源版 coze-studio 2026 年 2 月后停更，旧版 AI 生成式应用已创建的也无法继续编辑或使用，跨端发布入口陆续下线，旧订阅套餐年底强制迁移。上手最容易，押注路线图最难。本站 Coze 详情页 ↗
The domestic open-source pick for knowledge work: out-of-the-box data processing (text preprocessing, vectorization, QA segmentation), RAG retrieval, visual drag-and-drop workflow orchestration, and multi-model support. Free to self-host; a managed cloud option exists. The serious Chinese alternative when your agent is really a knowledge base with tools attached.国产开源的知识库之选：开箱即用的数据处理（文本预处理、向量化、QA 拆分）、RAG 检索、可视化拖拽工作流编排、多模型支持。自部署免费，也有托管云版。当你的智能体本质是"带工具的知识库"时，国内最值得认真看的选项。
The developer's visual LangChain builder: MIT-licensed, 155,000+ GitHub stars, shipping roughly every 8 days (v1.12.7 landed October 20, 2026). A visual canvas over LangChain/LangGraph with a free cloud account — the pick for code-first teams that still want a canvas for prototyping RAG and agents.开发者的可视化 LangChain 搭建器：MIT 协议，GitHub 15.5 万+ star，约 8 天一个版本（v1.12.7 在 2026 年 10 月 20 日发布）。LangChain/LangGraph 的可视画布，云版有免费账号——代码优先团队想要画布做 RAG 和智能体原型时的选择。
The open-source visual agent builder with the broadest model support: 100+ LLMs, embeddings and vector databases, drag-and-drop flows, human-in-the-loop workflows, and execution tracing. Apache 2.0 licensed, free to self-host, with a cloud tier on predictions. The balanced middle ground between Langflow's code-first depth and Dify's opinionated stack.模型支持最广的开源可视化智能体搭建器：100+ LLM、嵌入与向量库，拖拽式流程，人机回环工作流，执行追踪。Apache 2.0 协议，自部署免费，云版按预测次数计费。介于 Langflow 的代码深度和 Dify 的固执栈之间的平衡之选。
Honorable Mentions遗珠与其他场景
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RagFlowRagFlow — Domestic open-source RAG engine that fuses retrieval with agent capabilities — a strong context layer for LLMs. Pick it when retrieval quality, not the agent canvas, is the bottleneck.国产开源 RAG 引擎，把检索和智能体能力融在一起——给 LLM 做的上下文层。当瓶颈是检索质量而不是智能体画布时选它。
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MaxKBMaxKB — Open-source enterprise-grade agent platform （强大易用的开源企业级智能体平台） with 30+ model providers, SSO and audit logs in a single self-hosted binary — worth evaluating for corporate deployments.开源企业级智能体平台，单二进制自部署，30+ 模型供应商、SSO 与审计日志——企业内网部署值得评估。
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Microsoft Copilot StudioMicrosoft Copilot Studio — The enterprise default inside the Microsoft 365 world (metered on Copilot Credits). Choose it when your agents must live inside Teams, SharePoint and the Microsoft data boundary.微软 365 生态内的企业默认选项（按 Copilot Credits 计费）。智能体必须活在 Teams、SharePoint 和微软数据边界里时选它。
Choosing Well: Pros & Cons选好平台：优缺点
✓ When Low-Code Wins低代码胜出的场景
- Internal tools and ops automations with low cost of mistakes内部工具与运维自动化，犯错成本低
- Knowledge-base Q&A and support bots (RAG-first)知识库问答与客服机器人（RAG 优先）
- Prototyping an agent before committing engineering time投入研发资源前先做智能体原型
- Non-developers iterating on prompts and workflows非研发人员迭代提示词与工作流
✕ Limits局限
- Complex branching and state still push you toward code (LangGraph)复杂分支与状态管理最终还是要写代码
- Platform fees are dwarfed by model token bills at scale规模化后模型账单远超平台费用
- Platforms in organizational limbo (see Coze) are not for production bets组织动荡期的平台（如扣子）不适合押注生产
Use Cases应用场景
How the six ranked platforms map to real jobs.6 款平台分别适合哪些真实场景：
💬 Chatbots & Knowledge-Base Q&A对话机器人与知识库问答
Dify for the fastest working system; FastGPT when the knowledge base is the product and you're in China.最快做出可用系统用 Dify；知识库本身就是产品且在国内用 FastGPT。
🔗 Cross-System Automation跨系统自动化
n8n when the agent must act across CRM, ticketing, messaging and databases — approvals, alerts, syncs with an LLM drafting step.智能体要在 CRM、工单、消息、数据库之间干活用 n8n——审批、告警、同步，中间加一段 LLM 起草。
🧑💻 Developer Prototyping开发者原型
Langflow for LangChain-native teams; Flowise for the broadest model support with a gentler learning curve.LangChain 原生团队用 Langflow；要最广的模型支持、上手曲线更平缓用 Flowise。
🚀 Zero-Code First Agent零代码第一个智能体
Coze (or its Doubao successor) for the very first build — learn the concepts, then migrate anything serious to Dify or n8n.人生第一个智能体用扣子（或它在豆包里的后继）——先学概念，正经项目再迁到 Dify 或 n8n。
Similar AI Tools相似 AI 工具
If agent platforms aren't what you need, here are related tools worth a look:如果智能体平台不是你的需求，可以看看这些相关工具：