MaiAgent vs. Dify comparison

Overview of differences between MaiAgent and Dify

MaiAgent focuses on "enterprise-grade deployment speed, security, and high-precision RAG"

Dify focuses on "open-source ecosystem, visual workflows, and developer flexibility"

Below we compare the two across five aspects: business model and platform positioning, target customers and use cases, core technologies and functional differences, deployment options and data security, and technical support and services:

Business model and platform positioning

🏆 Enterprise-grade solution maturity

MaiAgent: Built for enterprises

• Designed for enterprise-grade applications, providing a fast-to-market AI assistant SaaS development platform with emphasis on stability, security, and scalable expansion.

Dify: Open-source driven

• An open-source LLM application development platform, suitable for rapid prototyping and community co-creation; enterprise-grade maturity requires self-building and validation.

Target customers and use cases

🎯 Target customers and success cases

MaiAgent: Trusted by large enterprises and government agencies

• Deeply focused on enterprise and government markets, withbanking, manufacturing, public sectorand many other real deployment cases that demonstrate the platform's high reliability and business value.

Dify: Suited for developers and startups

• Attracts developers and small startup teams; suitable for exploratory projects and individual development.

Core technologies and functional differences

💡 RAG accuracy and knowledge performance

MaiAgent: Industry-leading RAG performance

• Built-in exclusive optimized RAG retrieval algorithms, tested in sync with OpenAI RAG,with accuracy up to 95%.

• providing efficient and convenient knowledge base management.

• Supports multiple document formats to ensure answer quality.

Dify: Flexible but requires user tuning

• Supports various vector stores such as Qdrant/Milvus and offers a visual RAG interface, but achieving high accuracy requires deep tuning and integration by the user.

⚙️ Enterprise-grade agents and process automation

MaiAgent: Deep integration with enterprise processes

• Powerful AI assistant and tool modules.

• Supports multiple external data sources and tool integrations (e.g., APIs, MCP).

• Designed for integration and automation of complex internal enterprise processes.

Dify: Visual process building Provides a visual drag-and-drop interface for quickly building AI workflows and applications, but deep enterprise system integration and customization capabilities are limited.

📊 Structured data analysis capabilities

MaiAgent: Built-in Text-to-SQL

• Directly supports Text-to-SQL functionality, enabling natural language queries and analysis of enterprise databases to unlock the value of structured data.

• Supports a variety of mainstream relational database systems, including:

  • MySQL

  • PostgreSQL

  • Oracle DB

  • Microsoft SQL Server (MSSQL)

• Innovative real-time spreadsheet queries: In addition to traditional databases, MaiAgent recognizes that many temporary or small datasets often exist as spreadsheets. To address this, MaiAgent provides an innovative feature: it can automatically convert spreadsheet data (supports .xlsx, .xls, .csv formats) into a queryable temporary database.

  • Users only need to upload a spreadsheet file; MaiAgent will parse its structure and allow you to query it using natural language just like a standard database. This greatly expands Text-to-SQL applicability, enabling rapid use of unstructured or semi-structured data.

Dify: Does not directly support Text-to-SQL

🔗 Multi-channel integration and extensibility

MaiAgent: Broad channel coverage

• Seamlessly integrates LINE, FB Messenger, Telegram, enterprise official websites, and other customer touchpoints to create a consistent AI service experience.

Dify: Limited integration capability, requires self-development or reliance on community plugins

Deployment options and data security

🔒 Deployment flexibility and data security

MaiAgent: Diverse secure deployment options

• Supports public cloud, private cloud andon-premises deployment.

• to ensure enterprises have full control over their data.

• Meets strict security and compliance requirements (e.g., finance, healthcare).

Dify: Relies on the open-source community

• Primarily open-source deployments; data security and compliance must be configured and managed by the enterprise, and on-premises deployment is more complex.

Technical support and services

🤝 Professional technical support and consulting services

MaiAgent: Enterprise-grade dedicated assurance

• Provides a professional technical support team and experienced consulting services.

• Assists enterprises from proof of concept (PoC) through to full production launch.

Dify: Relies on community resources

• Mainly depends on open-source community forums and documentation for support, lacking enterprise-grade real-time response services.

Summary: MaiAgent is the top choice for enterprise deployment

For teams seekingopen-source flexibility, rapid prototyping, or personal project experimentationDify and its active community and visual workflows may be a starting point.

However, when enterprises focus onformal production deployments, pursuing high-precision RAG applications, prioritizing data security and compliance, and needing reliable technical supportMaiAgent is an excellent choice, offering the following services:

• Up to 95% RAG accuracy: Ensures AI-generated accuracy.

• Enterprise-grade deployment flexibility: Covering public cloud, private cloud and criticalon-premises deploymentoptions.

• Multiple data integrations and enterprise process integration capabilities: Enabling true business automation.

• Built-in Text-to-SQL: Easily handle structured data analysis.

• Seamless multi-channel integration: Enhances customer interaction experience.

• Professional technical support and consulting services: Ensures enterprise-grade AI is successfully deployed and continuously optimized.

MaiAgent is committed to helping enterprises and public sector organizations succeed in critical areas such as high-precision AI customer service, rigorous data governance, agile application development, and internal process optimization. Choosing MaiAgent means choosing a mature, secure, efficient enterprise-grade AI solution supported by a professional team.