# Agent-Native vs Dify

Agent-Native records 52,065 monthly visits with +90.7% month-over-month growth and Free pricing. Dify records 819,691 monthly visits with -15% growth and Freemium pricing.

| Metric | [Agent-Native](https://openaitools.app/tool/agent-native) | [Dify](https://openaitools.app/tool/dify-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.agent-native.com | https://dify.ai |
| Categories | AI Agent, AI App Builder, AI Developer Tools, AI Workflow | AI App Builder, AI Agent, AI Workflow, AI API |
| Pricing Model | Free | Freemium |
| Monthly Visits | 52,065 | 819,691 |
| MoM Growth Rate | +90.7% | -15% |
| Primary Market | United States | China |
| Direct Visits | 22,560 | 470,604 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 0 | 22 |
| Supported Platforms | Website | Website |

## Agent-Native

Agent-Native is an open-source framework for building what its authors call agentic applications: software where an AI agent and a human interface are first-class peers rather than an agent bolted onto an existing app. The central idea is that a capability should be defined once. When you declare an action with defineAction(), the same code is callable by the embedded agent, by React components in the UI, by external HTTP clients, and by integrations, so there is no drifting duplicate logic between the automation and the interface.

Around that core, the framework wires together the pieces most agent products end up rebuilding: shared application state so the agent knows what the user is viewing or editing, a shared PostgreSQL database as one source of truth for users and agents, persistent memory and reusable skills, scheduled and event-driven automations, multi-agent teams, and authentication with organizations plus resource-level permissions for viewing, commenting, editing and managing.

Agent-Native is deliberately stack-agnostic. It is TypeScript, open source, and designed so you bring your own LLM, your own database and your own hosting, keeping the application code in your own repository. The project also ships a set of open-source reference apps, including Design, Slides, Clips, Analytics, Calendar, Mail, Content, Assets and Forms, which you can use as-is or fork and customize, and you can start a new project from the CLI or build online through Builder.io.

**Pricing & Plans:** Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize.

- **One action, every surface:** Declare a capability once with defineAction() and it is automatically available to the agent, the React UI, HTTP clients and integrations, eliminating duplicated logic.
- **Shared state and data:** The agent sees what users are browsing, selecting and editing, and both read and write the same PostgreSQL database as a single source of truth.
- **Skills and memory:** Give agents reusable expertise, persistent context and long-term memory so they stop repeating mistakes and do not need re-explaining.
- **Automations and agent teams:** Run agent work on schedules or in response to events, and delegate to specialist agents within a workspace or across connected agents.
- **Auth, orgs and sharing built in:** Sign-in, user accounts, organization membership, and per-resource permissions for view, comment, edit and manage come wired into the framework.

**Strengths:** Capability is defined once and reused by agent, UI, APIs and integrations, which cuts duplication; Brings your own LLM, database and host, so there is no model or cloud lock-in; Open source TypeScript with application code kept in your repository; Batteries-included auth, organizations, permissions, memory, skills and automations

**Limitations:** Requires TypeScript and full-stack comfort; it is a framework, not a no-code builder; You are responsible for hosting, database operations and LLM costs; The ecosystem and third-party documentation are still relatively young

[Profile (Markdown)](https://openaitools.app/tool/agent-native.md)

## 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)

## Frequently Asked Questions

### How do Agent-Native and Dify compare in monthly traffic?

Agent-Native has 52,065 monthly visits, while Dify has 819,691. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agent-Native has a month-over-month growth rate of +90.7%; Dify has -15%.

### How does pricing compare?

Agent-Native: Free. Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Lovable](https://openaitools.app/tool/lovable) | 31,052,090 | +3.8% | Freemium | Describe your idea in chat and Lovable turns it into a working app or website | [.md](https://openaitools.app/tool/lovable.md) |
| 2 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 5 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 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 | [Anakin](https://openaitools.app/tool/anakin-ai) | 299,838 | -7.6% | Freemium | AI-native development workspace for teams and coding agents | [.md](https://openaitools.app/tool/anakin-ai.md) |

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

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