AI workflow automation platforms in 2026 have split into five factions: general-purpose workflow plus AI, LLM application orchestration, visual Agent building, knowledge-base specialization, and China-native closed-source platforms. Before choosing, first figure out what you actually need -- otherwise your bookmark folder just keeps growing while nothing ever ships.
Disclosure: this is a representative comparison of five mainstream platforms, based on official docs, GitHub metadata, and public reviews -- not hands-on testing, verified 2026-08-06. Star counts are verified via the GitHub API on that date; pricing and features are per each official site. This piece does not teach you to build a bot in ten minutes (that is for the companion SOP article) -- it is a comparison only: tables, per-platform breakdown, selection, pitfalls, and FAQ.
One: Why Compare AI Workflow Platforms in 2026
These five are not direct competitors -- they are five directions. n8n is "general-purpose workflow automation plus an AI module", strong at SaaS integration, scheduling, retry, and execution monitoring; Dify is "LLM application orchestration", strong at RAG/Agent/workflow orchestration for building chatbots and agents; Flowise is "visual Agent building", drag-and-drop on top of the LangChain ecosystem; FastGPT is "knowledge-base specialization", out-of-the-box RAG and data processing; Coze (Kouzi) is a "China-native closed-source platform", from ByteDance, with one-click publish to Feishu/WeChat/Douyin.
Once you understand these five directions, selection is no longer "which is strongest" but "who handles my work most smoothly". An ops team doing SaaS automation forcing Dify into the job, and a team doing knowledge-base Q&A forcing n8n, will both feel awkward. Identify the faction first, then match your scenario -- that is how to use a comparison.
Two: The Five Contenders (star data as of 2026-08-06, per GitHub API)
| Platform | GitHub Stars | License | Faction | One-liner |
|---|---|---|---|---|
| n8n | ★199,495 | fair-code (self-host free) | General workflow + AI | Power user's Swiss army knife, 400+ integrations, unlimited flexibility |
| Dify | ★151,476 | Open source | LLM app orchestration | Top pick for chatbot/agent/RAG apps |
| Flowise | ★55,197 | Open source | Visual Agent | Drag-and-drop agent prototypes on LangChain |
| FastGPT | ★29,273 | Open source | Knowledge-base specialization | Out-of-the-box RAG, Q&A specialization |
| Coze (Kouzi) | None (closed) | Closed (China free) | China closed-source | ByteDance ecosystem, one-click publish to Feishu/WeChat/Douyin |
Three details: first, n8n has the most stars (~200k) and is the benchmark for open-source workflow automation; Dify is close behind (150k+) and the most popular LLM app platform. Second, the first four are all TypeScript, self-hostable open-source projects; only Coze is ByteDance's closed-source SaaS with no public repo. Third, n8n's license is fair-code (a sustainable-use license; self-hosting is free, cloud and redistribution are restricted) -- not strict OSI open source, but free for self-use deployment.
Three: Side by Side Across Six Dimensions
A representative comparison based on official docs and public descriptions, not hands-on testing.
| Dimension | n8n | Dify | Flowise | FastGPT | Coze |
|---|---|---|---|---|---|
| Free tier | Self-host fully free | Self-host community free | Self-host free | Self-host free | China edition free |
| Learning curve | High (HTTP/JSON/code) | Medium (developer-oriented) | Low (drag-and-drop) | Medium-low | Lowest (no-code) |
| AI capability | Native AI nodes + code | RAG/Agent/workflow, high ceiling | On LangChain, fast agent prototypes | RAG and knowledge-base specialization | Built-in Doubao models, easy bots |
| Self-hosting | Yes | Yes | Yes | Yes | No (closed SaaS) |
| China usability | Self-host or intl edition | Yes (self-host) | Yes (self-host) | Yes (Chinese team, self-host) | Best (ByteDance native) |
| Best for | SaaS-heavy complex automation | chatbot/agent/RAG apps | Fast agent prototypes | Knowledge-base Q&A | China no-code fast launch |
Note: n8n's strength is "non-AI integration depth, scheduling, retry, execution monitoring" -- AI is one step in a larger flow; Dify's strength is "AI-centric flow orchestration", but its SaaS integration depth and scheduling are weaker than n8n. This is the key dividing line for selection -- many AI steps, pick Dify; heavy SaaS chaining, pick n8n.
Four: Each Platform's Best Range
n8n: open-source workflow automation king, the power user's Swiss army knife
n8n is the open-source Zapier, but stronger on flexibility and cost. 400+ integration nodes, native AI nodes (LangChain, Agent, Memory), and every node lets you drop in JavaScript or Python for custom logic. Fair-code license, fully free to self-host, with a free cloud tier. It bets on "general workflow plus AI": automation starts from an event, AI is one step in the larger flow, and ops/RevOps teams adapt quickly.
For whom: technical teams that need to wire up SaaS (Gmail, Notion, databases, Feishu), need scheduling/retry/execution monitoring, and want self-hosting to control cost and data. It clicks fastest with ops/RevOps teams -- automation starts from an event, AI is just one step in a larger flow, which matches the team's existing ops mental model. The cost: the steepest learning curve -- you need to understand HTTP requests, JSON, a bit of code, and server ops.
Shortcomings: AI app orchestration (RAG, Agent, conversation memory) is less smooth than Dify, and building a chatbot is a detour; direct use in China needs self-hosting. The fair-code license also gives some enterprise legal teams pause -- it allows free self-hosted use but forbids unauthorized redistribution and reselling hosted services, which is not the same as pure MIT/Apache open source, so have legal review the terms before procurement.
Dify: open-source LLM app orchestration, top pick for chatbot/agent
Dify is a developer-centric agentic AI platform that turns RAG, Agent, workflow orchestration, conversation memory, and multi-tool calling into visual building blocks. Self-hosted community edition is free, with a free cloud tier. It bets on "LLM-first applications": building chatbots, agents, and RAG Q&A systems, where dev teams ship faster than by forcing it inside n8n.
For whom: developers building private-knowledge-base Q&A, complex business Agents, or genuinely embedding AI into a product. It is one of the category leaders on the "LLM-first application" line -- when your goal is to build a chatbot, agent, or RAG Q&A system from scratch and ship it, a dev team sees results faster in Dify than by forcing it inside n8n. The cost: a higher bar than Coze, and non-AI SaaS integration depth, scheduling, retry, and execution monitoring are weaker than n8n.
Shortcomings: pure automation (event triggers, scheduling, cross-SaaS chaining) is not its home turf; jahanzaib's comparison notes explicitly that Dify workflow handles AI-centric flows well but lacks n8n's non-AI integration depth and scheduling/retry/monitoring; heavily custom logic is less free than n8n's code nodes.
Flowise: low-code visual AI Agent building, fastest prototypes
Flowise is a drag-and-drop AI Agent builder on top of the LangChain ecosystem, turning chain, agent, memory, and tool into draggable nodes. Open source, free to self-host. It bets on "visual Agent prototypes": build a tool-calling, memory-holding agent without writing code -- the fastest way to validate an idea.
For whom: developers and semi-technical users who want fast agent prototypes, want to avoid writing LangChain code, and want to visually debug chains. Its value is "fastest idea validation" -- drop in a few nodes, wire up tools and memory, and in minutes you see a running agent that tells you whether the direction is worth investing in further. The cost: weak productionization; scheduling, retry, and monitoring trail n8n, and app orchestration trails Dify.
Shortcomings: leans prototype tool; complex business automation and production-grade monitoring are thin; the ecosystem is smaller than Dify's. It is heavily dependent on the LangChain ecosystem -- LangChain's version churn and abstraction-layer stacking propagate directly into Flowise's usability and stability, so long-term maintenance tracks LangChain's direction.
FastGPT: open-source knowledge-base platform, RAG Q&A specialization
FastGPT is a knowledge-base platform from a Chinese team (labring/Sealos), built on LLMs with out-of-the-box data processing, chunking, vectorization, and RAG Q&A. Open source, free to self-host. It bets on "knowledge-base specialization": making the "feed documents, ask questions" chain out-of-the-box, with data processing and RAG smoother than general-purpose platforms.
For whom: people building internal enterprise knowledge-base Q&A, customer-service knowledge bases, or document Q&A who want self-hosting for data control. Its value is "this chain is out-of-the-box" -- data processing, chunking, vectorization, retrieval, and Q&A are all prebuilt, so you don't assemble a RAG pipeline from LangChain yourself; with a Chinese team maintaining it, docs and community support in Chinese keep up. The cost: a narrow focus -- general workflows and complex Agent orchestration are not its strength.
Shortcomings: strains outside the knowledge-base Q&A scenario; general automation and SaaS integration are weak. It is fundamentally a vertical platform -- top-tier for knowledge-base Q&A, but if you use it to build a multi-branch business automation or cross-system data flow, you hit the limits of its knowledge-base-centric design at every turn.
Coze (Kouzi): ByteDance closed-source platform, lowest bar for China no-code
Coze is ByteDance's AI Bot builder -- China edition free, no-code drag-and-drop, with built-in Doubao, Tongyi Qianwen, and other models, plus one-click publish to Feishu, WeChat customer service, and Douyin mini-programs. It bets on "China ecosystem plus no-code": no code, no API key, no server -- drag, click publish, go live.
For whom: self-media, e-commerce ops, and non-technical users who want a quick Bot on Feishu/WeChat. Its China ecosystem is unbeatable -- publishing to Feishu, WeChat customer service, and Douyin mini-programs is all "one-click", with built-in Doubao, Tongyi Qianwen, and other models, so you never touch an API key; for someone with zero technical background it is the lowest-barrier entry. The cost: closed-source SaaS, data lands on ByteDance's servers, workflow complexity is limited, and multi-branch or computation-heavy business logic is hard.
Shortcomings: no self-hosting, sensitive-data risk; workflow depth and flexibility trail the four open-source options; features are subject to platform policy. Closed source also means that if the platform changes pricing, sunsets features, or tightens publish channels, your Bot is passively affected -- a long-term risk you must price in when betting core business on a closed-source platform.
Five: Scenario Selection
Build chatbot/agent/RAG apps. First pick Dify -- high RAG/Agent/workflow ceiling, developer-oriented, can become a product. For no-code agent prototypes, Flowise.
Wire up SaaS-heavy complex automation. First pick n8n -- 400+ integrations, scheduling, retry, execution monitoring, AI as one step. Event triggers, scheduling, and cross-SaaS chaining are its home turf.
China no-code fast launch. First pick Coze -- ByteDance ecosystem, one-click publish to Feishu/WeChat/Douyin, no code, no deployment. Do not use for sensitive data; switch to self-hosted.
Knowledge-base Q&A. First pick FastGPT -- out-of-the-box RAG and data processing, specialized. To also handle Agent orchestration, Dify.
Fast agent prototypes. First pick Flowise -- drag-and-drop, on LangChain, fastest idea validation. To go to production, Dify or n8n.
Common combos: n8n runs the SaaS automation main flow, Dify runs AI sub-flows (RAG Q&A, Agent decisions) -- each plays to its strength; Coze for internal lightweight Bots, Dify for external formal products, split by audience.
Six: Three Pitfalls -- Don't Greed, Don't Treat as Benchmark, Data Export
First, don't learn three at once. Pick one, use it to ship one deliverable automation, taste the win, then expand laterally. The essence of bookmark-folder dust is trying to "master everything" at the start and shipping nothing.
Second, don't treat a comparison as a hands-on benchmark. This is a representative comparison based on official docs and public info, not tested under your business load. After settling on a choice, you must stress-test it on your own real scenario: data volume, concurrency, long tasks, exception recovery -- these a comparison cannot select for.
Third, closed-source platforms carry data-export risk. Coze is closed-source SaaS; data goes to ByteDance's servers, so do not feed it contracts or customer data. To keep data in-house, pick self-hostable n8n/Dify/FastGPT and deploy on your own server.
FAQ
Q: Which for fully free self-hosting? A: By scenario. General automation, n8n; LLM apps/Agents, Dify; knowledge-base Q&A, FastGPT -- all three are free to self-host. Coze's China edition is free but cannot be self-hosted.
Q: Which if I don't code? A: In China, first pick Coze (no-code, one-click publish). If you can self-host and want agent prototypes, Flowise (drag-and-drop). n8n and Dify both need some technical background.
Q: Which for RAG knowledge bases? A: Specialized, FastGPT (out-of-the-box data processing + RAG). To also handle Agent orchestration and complex business, Dify.
Q: Which for SaaS automation? A: n8n. 400+ integrations, scheduling, retry, execution monitoring, AI as one step. Dify's SaaS integration depth trails n8n.
Q: Which for sensitive data? A: Self-host n8n, Dify, or FastGPT -- data stays on your server. Do not use closed-source Coze for sensitive data.
Take
AI workflow automation platforms in 2026 have no all-rounder, only five factions: n8n bets general automation, Dify bets LLM app orchestration, Flowise bets visual Agents, FastGPT bets knowledge bases, Coze bets China no-code. The real selection criterion is not the highest star count but the best match for your scenario: SaaS automation, n8n; chatbot/agent, Dify; agent prototypes, Flowise; knowledge bases, FastGPT; China no-code, Coze.
But whichever you pick, a comparison cannot certify production-ready -- after choosing, you must stress-test on your own business load. Tools iterate, licenses change; what keeps you irreplaceable is the ability to decompose and reconstruct business processes, not fluency in any single tool.
References
- n8n official site and GitHub (n8n-io/n8n, ★199,495, verified via GitHub API 2026-08-06): https://github.com/n8n-io/n8n
- Dify official site and GitHub (langgenius/dify, ★151,476): https://github.com/langgenius/dify
- Flowise official site and GitHub (FlowiseAI/Flowise, ★55,197): https://github.com/FlowiseAI/Flowise
- FastGPT official site and GitHub (labring/FastGPT, ★29,273): https://github.com/labring/FastGPT
- Coze (Kouzi) official site: https://www.coze.cn
- jimmysong.io: positioning of Coze Studio/Dify/FastGPT vs LangGraph/Fabric frameworks
- ayautomate: n8n vs Dify selection (automation vs LLM-first apps)
- jahanzaib: Flowise vs Dify vs n8n (AI-centric flows vs non-AI integration depth/scheduling/retry/monitoring)
- knowlee: n8n (400+ integrations, Series B) and Dify (agentic AI platform) positioning
- cyprien: n8n and Dify as category leaders, Flowise/Coze as alternatives
- Source material produced by the gongzuoliu workflow (Xiaohongshu hit analysis + Tavily web research + DeepSeek generation) as a draft, then restructured by a human; star data verified via GitHub API 2026-08-06; pricing and features per each official site