Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.
Build, deploy, and govern production-ready agentic AI workflows
A memory and continual-learning engine that gives any AI agent persistent context
| Dimension / Metric | | |
|---|---|---|
| Official Domain | dify.ai | supermemory.ai |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 819.69K (819,691) | 156.58K (156,579) |
| MoM Traffic Delta | -144.26K (-15%) | -12.98K (-7.7%) |
| Primary Market & Share | 🇨🇳 China (46.7%) | 🇺🇸 United States (46.2%) |
| Direct Visits / mo | 470.6K | 71.16K |
| User Rating | 4.8 | 4.5 |
| 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.
A memory and continual-learning engine that gives any AI agent persistent context
A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
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.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
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.
Free / Open-sourceOne open-source AI gateway for 100+ LLM providers
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.
SpecialistThe universal context engine connecting agents to data, tools, and models
SpecialistOffers enterprise-grade scalable vector search and RAG storage, but lacks supermemory's automated agent memory graph abstractions.
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.
SpecialistAI gateway, observability and guardrails for production LLM apps
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.
