Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. RecoFeed records 0 monthly visits with 0% growth and Freemium pricing.
Build, deploy, and govern production-ready agentic AI workflows
Local-first recommendation feeds that keep user data on-device
| Dimension / Metric | | |
|---|---|---|
| Official Domain | dify.ai | recofeed.getmegaportal.com |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 819.69K (819,691) | 0 (0) |
| MoM Traffic Delta | -144.26K (-15%) | 0 (0%) |
| Primary Market & Share | 🇨🇳 China (46.7%) | 🌐 Global (—) |
| Direct Visits / mo | 470.6K | 0 |
| User Rating | 4.8 | 3.8 |
| Supported Platforms | Website | Website |
Build, deploy, and govern production-ready agentic AI workflows
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.
Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
Local-first recommendation feeds that keep user data on-device
Similarity and ranking run locally in the browser via CloseVector, so user preference data is not sent back to a server.
Built on CloseVector, which runs in browser, server and desktop contexts, letting the same logic power web and native experiences.
Feeds can be assembled from articles, products, videos or other users, and reused across different parts of a product.
AI-suggested categories give new users a starting point for their preferences instead of an empty onboarding screen.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
The environments frontier AI trains on, and the agents that do the recurring work
The environments frontier AI trains on, and the agents that do the recurring work
Free / Open-sourceReactive TypeScript backend with database, functions and AI gateway
Free / Open-sourceReactive TypeScript backend with database, functions and AI gateway
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models
AI no-code builder that turns one sentence into native iOS, Android, and web apps
AI no-code builder that turns one sentence into native iOS, Android, and web apps
Free / Open-sourceA private, memory-powered AI assistant you own and customize
Free / Open-sourceA private, memory-powered AI assistant you own and customize
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
The multimodal data layer for computer vision and physical AI teams
