# Dify vs Flowith

Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. Flowith records 324,679 monthly visits with -27.3% growth and Contact for Pricing pricing.

| Metric | [Dify](https://openaitools.app/tool/dify-ai) | [Flowith](https://openaitools.app/tool/flowith) |
| :--- | :--- | :--- |
| Website URL | https://dify.ai | https://flowith.io |
| Categories | AI App Builder, AI Agent, AI Workflow, AI API | AI Productivity Tools, AI Workflow, AI Knowledge Management, AI Assistant |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 819,691 | 324,679 |
| MoM Growth Rate | -15% | -27.3% |
| Primary Market | China | China |
| Direct Visits | 470,604 | 171,168 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 22 | 3 |
| Supported Platforms | Website | Website |

## Dify

Dify pairs a visual canvas with code-level control so both technical and non-technical teams can assemble AI applications and agents. Workflow Studio turns prompt logic into an inspectable execution graph of building blocks: retrieval, branching, tool calls, human-in-the-loop steps, and model calls. Agent builder lets you create agents by chatting or by configuring them directly, then run them as a standalone app, embed them into a website, or reuse them as a node inside a larger workflow.

A major part of the platform is context engineering. The Knowledge Pipeline lets you define repeatable ingestion flows for files, websites, online documents, and cloud drives, handling extraction, cleaning, chunking, indexing, and retrieval testing before a knowledge base is attached to agents or workflows. The Marketplace supplies model providers, tools, data sources, and MCP integrations that teams can install once and then reuse across many apps as approved plugins.

Dify ships in three deployment shapes: Dify Cloud (fully managed SaaS with workspace, logs, and scaling handled for you), Dify Enterprise (self-hosted or VPC deployment with SSO/SAML, RBAC, audit logs, Helm charts for Kubernetes, and enterprise support), and the open-source Community Edition, a source-available single-command Docker deployment with a large GitHub community. Published apps can be delivered as hosted web apps, API endpoints, embeds, or MCP-compatible tools, with logs, feedback, annotations, latency, and usage analytics to keep improving them after launch.

**Pricing & Plans:** Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales.

- **Workflow Studio:** A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.
- **Agent Builder:** Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
- **Knowledge Pipeline:** Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
- **Plugin Marketplace and MCP:** Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
- **Flexible Deployment and Observability:** Run on managed Cloud, in your VPC, or self-hosted with Docker, and monitor published apps through logs, annotations, feedback, latency, and usage data.

**Strengths:** Combines a visual builder with code-level extensibility in one product; Three deployment options, including a free self-hosted Community Edition; Strong retrieval and knowledge pipeline tooling for RAG applications; Large plugin marketplace plus MCP support reduces integration work

**Limitations:** Self-hosted deployments require real infrastructure and maintenance effort; Complex multi-step workflows take time to learn and tune; Advanced enterprise governance features sit behind a sales-quoted plan

[Profile (Markdown)](https://openaitools.app/tool/dify-ai.md)

## Flowith

Flowith positions itself as an "agentic workspace" for deep work rather than a simple chatbot. Its core idea is a spatial canvas where prompts, results and agent runs live as nodes you can connect, fork and revisit. That structure makes it practical for long, messy projects such as research, planning and content pipelines, where linear chat histories quickly become unusable.

The platform brings several leading large language models into a single interface, so you can route a task to the model that suits it or run several side by side to compare output. On top of chat, Flowith offers autonomous agent modes that can break a goal into steps, browse for information and assemble a deliverable without constant babysitting.

Flowith also emphasizes knowledge management. Notes, sources and generated artifacts can be stored and referenced later, which turns the workspace into a growing knowledge base instead of a disposable conversation. For teams and individuals working on complex creative or analytical tasks, that combination of canvas, agents and memory is the main differentiator.

**Pricing & Plans:** Flowith uses a tiered model with a free entry point and paid plans for heavier usage; enterprise and team options are handled on request. Check the official site for current credit limits and seat pricing.

- **Spatial agentic canvas:** Arrange prompts, outputs and agent runs as connected nodes on an infinite canvas, so complex projects stay navigable instead of scrolling off screen.
- **Multi-model chat:** Access several leading language models in one interface and switch between them per task or compare their answers side by side.
- **Autonomous agent mode:** Delegate multi-step goals to an agent that plans, gathers information and produces deliverables with minimal back-and-forth.
- **Knowledge garden:** Save notes, references and generated artifacts into a persistent knowledge space you can search and reuse in future sessions.
- **Collaboration and sharing:** Invite collaborators into a canvas, share work via links and keep project context together for small teams.

**Strengths:** Canvas-based structure keeps long projects readable and easy to revisit; Multiple frontier models available in one place; Built-in agent mode reduces manual prompt chaining; Knowledge storage turns sessions into a reusable asset

**Limitations:** The open canvas can feel overwhelming for very simple one-off questions; Heavy agent usage depends on credits or paid tiers; Advanced workflows take time to learn compared with a plain chatbot

[Profile (Markdown)](https://openaitools.app/tool/flowith.md)

## Frequently Asked Questions

### How do Dify and Flowith compare in monthly traffic?

Dify has 819,691 monthly visits, while Flowith has 324,679. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dify has a month-over-month growth rate of -15%; Flowith has -27.3%.

### How does pricing compare?

Dify: Freemium. Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales. Flowith: Contact for Pricing. Flowith uses a tiered model with a free entry point and paid plans for heavier usage; enterprise and team options are handled on request. Check the official site for current credit limits and seat pricing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Miro](https://openaitools.app/tool/miro) | 30,749,206 | +1.7% | Freemium, Contact for Pricing | Delivers world-class collaborative whiteboarding and brainstorming tools, but lacks native multi-model chat assistants and autonomous agent workflows. | [.md](https://openaitools.app/tool/miro.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | An open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining. | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Whimsical](https://openaitools.app/tool/whimsical) | 966,895 | -18.7% | Freemium | Offers collaborative visual canvases and AI diagram generators, but lacks multi-model chat and autonomous agent execution. | [.md](https://openaitools.app/tool/whimsical.md) |
| 6 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | A self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration. | [.md](https://openaitools.app/tool/open-webui.md) |
| 7 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Generates automated AI agents and business apps from text, but uses structured task lists instead of spatial canvases. | [.md](https://openaitools.app/tool/taskade.md) |
| 8 | [FLORA](https://openaitools.app/tool/flora-ai) | 493,317 | -30.5% | Freemium | Unites dozens of leading generative models on an infinite canvas, but focuses more on creative media than agentic workspaces. | [.md](https://openaitools.app/tool/flora-ai.md) |
| 9 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Provides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | An open-source automation platform combining visual flows with AI steps, though geared more towards general app integration. | [.md](https://openaitools.app/tool/activepieces.md) |

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Source: https://openaitools.app/compare/dify-ai-vs-flowith

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