Comparison of AI Agent Platforms: Tovie Platform, Dify, and n8n

 

We analysed three AI platforms — the open-source version of Dify, the n8n Community Edition, and Tovie AI Agent Platform — across 100+ criteria, including their technical foundation, licensing model, target audience, and options for integrating with enterprise infrastructure. After reading, you’ll have a solid overview of the platforms and be able to choose the one that best fits your needs.

 

Tovie Platform vs Dify vs n8n

Dify — an open-source platform for rapid development of AI applications and RAG scenarios. It offers a no-code visual builder, support for external data, and customisation through open code. Suitable for quick prototyping, but requires manual adjustments and is less convenient for large-scale enterprise deployments.

 

n8n — an open-source platform for business process automation and AI integration. It allows building complex data processing chains in a visual interface and integrating hundreds of applications. Versatile for automation, but requires its own infrastructure and modifications for enterprise-level use.

 

Tovie AI Agent Platform — an enterprise-grade platform for building AI agents and developing multi-agent systems. Tovie Platform combines chat, voice, and action automation, ensures enterprise-class security, and integrates with various channels and applications. An optimal choice for large UK and EU companies with strict infrastructure and data requirements, as well as the need to quickly deploy and test GenAI initiatives.

Key features

	Tovie Platform	Dify	n8n
Product type	Enterprise-ready platform for AI agents and multi-agent systems	Open-source platform for AI applications and RAG	Open-source platform for workflow automation
Development	Low-code + Python/JS	Low-code + Python	Low-code + Python/JS
Deployment	Cloud / On-prem	Cloud / On-prem	Cloud / On-prem
Monitoring and analytics	Built-in real-time	Requires manual setup	Requires manual setup
Integrations	API, 30+ ready-made connectors with international and applications	API	API, 500+ ready-made connectors with international applications
Security	RBAC, masking, audit, SSO/SAML	Client-side	Client-side
Certification and compliance	Enterprise requirements supported IBM FS validated, GDPR, SOC 2 Type 1, Cyber Essentials Plus, PII	GDPR, SOC 2, ISO 27001 Others are on the client side	SOC 2, SOC 3, GDPR Others are on the client side
RAG	Yes	Yes	No
LLM	Vendors / Tovie ML Place / Custom	Vendors	Vendors
Voice technologies	Voice support, IVR, 7 ASR/TTS vendors	1 ASR/TTS vendor	None
TCO & Launch Speed	One day in cloud, vendor-supported on-prem	Requires dedicated infra/team	Requires dedicated infra/team
Support	Contract, SLA, dedicated team	Community	Community

 

Now let’s move on to a more detailed comparison of the platforms across several characteristics:

• UX/UI for development and scenario management
• Architecture, deployment and scaling
• Integrations, LLM and multimodal technologies
• Security and compliance
• Monitoring, analytics and management
• Support and service model

 

Development and scenario management

	Tovie Platform	Dify	n8n
Interface type	Low-code builder	Low-code builder	Low-code builder
Language for function development	Python, JavaScript	Python, JavaScript	Python, JavaScript
Triggers for starting workflows	Schedule, Webhook, Chat message, Chat events	Schedule, HTTP, Chat	Schedule, Webhook, Manual, App events
Conditional logic	If/Else, Switch nodes	If/Else nodes	If, Switch nodes
Workflow types that can be developed	AI agents, AI applications, chatbots	AI agents, AI applications, chatbots	Any business processes
Extensibility	MCP, custom functions, partner functions	Custom tools, plugins	Community nodes, custom nodes
Template library	✅	✅	✅
AI developer assistant	✅ (Coming soon)	❌	❌

 

Tovie Platform stands out as the most enterprise-ready solution: it supports Python and JavaScript, offers a wide range of triggers, specialises in AI agents and multi-agent systems, and includes a built-in template library and AI developer assistant, which speeds up scenario creation and testing.

 

Dify AI is convenient for quickly prototyping AI applications, but its limited integration triggers restrict its use in large-scale automation.

 

n8n is strong in versatility and the number of triggers, but it lacks built-in AI specialisation and requires extra effort for complex AI scenarios.

 

Architecture, deployment and scaling

	Tovie Platform	Dify	n8n
Architectural approach	Multi-agent systems	Backend-as-a-Service for AI	Node-based workflow
Cloud usage	Tovie AI Cloud	Dify Cloud	n8n Cloud
Self-hosting	Turnkey deployment in corporate environment (on-prem or private cloud) by the vendor	Cloud + Self-hosted deployment requires DevOps resources and skills in Docker, Kubernetes	Cloud + Self-hosted deployment requires DevOps resources and skills in Docker, Kubernetes
On-premise installation	Ready-made turnkey on-prem deployment, with vendor support, SLA and predictable TCO	Fully manual deployment by the customer	Fully manual deployment by the customer
Cloud scalability	Horizontal and vertical scaling	Horizontal scaling	Queue mode
Guaranteed availability (resilience)	SLA 0/2, Enterprise HA	HA support	HA configurations
Backup and recovery	✅	✅	✅

 

Tovie Platform is designed to meet enterprise-level requirements. It is built on a multi-agent architecture and supports flexible deployment – from a corporate private cloud to a ready-made turnkey on-premises installation with SLA, resilient architecture, and backup procedures. This approach removes the need for the customer to build a separate DevOps team and allows the system to be launched in production scenarios quickly, with predictable TCO.

 

Both Dify and n8n offer cloud deployment. In self-hosted formats require additional infrastructure resources and manual setup, including Docker, Kubernetes, npm, and self-managed HA and backups. This extends the implementation cycle, increases operational costs, and introduces additional technical risks.

 

In terms of scalability, Tovie Platform offers both horizontal and vertical scaling, which is important as demand grows. In comparison, Dify is limited to horizontal scaling, while n8n AI uses queue mode, which can slow down request processing during peak periods.

 

Integrations, LLM and multimodal technologies

	Tovie Platform	Dify	n8n
Ready-made connectors	30+ connectors for applications	10+ connectors for applications	500+ connectors for applications
API integration	HTTP request node / REST API	REST API	REST API via HTTP request node
Databases	✅	✅	✅
CRM systems	✅ Salesforce, Zendesk, Zoho + API	✅ API	✅ Hubspot, Pipedrive, Salesforce, Zoho + API
ERP systems	✅	✅	✅
Cloud services	✅	✅	✅
Messengers	Slack, Teams, WhatsApp, Viber, Telegram, Mattermost, Facebook Messenger + API	Slack, Discord, DingTalk, Wecom + API	Slack, Telegram, Discord, Mattermost, WhatsApp, RocketChat, Google Chat, Zoom, Teams + API
Email services	SMTP protocol	SMTP protocol	Gmail, Outlook, Mailchimp
Social networks	Facebook API	Facebook, Instagram, LinkedIn	—

 

GenAI technologies integrations

	Tovie Platform	Dify	n8n
LLM from providers	✅ Model agnostic	✅	✅
LLM hosting	✅ Tovie ML Place	❌	❌
Corporate LLM connection	✅	✅	❌
Model fine-tuning	✅	❌	❌
RAG	✅ Tovie AI enterprise search	✅	✅
MCP servers	✅	✅	✅
Prompt engineering	✅	✅	✅

 

All three platforms support LLMs from global providers, as well as MCP server integration and RAG for working with corporate databases and reducing hallucinations in models.

 

Tovie Platform extends these capabilities with its own ML-Ops platform ML Place and security layer with data masking, making it the only solution of the three able to operate in a fully localised and secure environment.

 

Voice

	Tovie Platform	Dify	n8n
Voice support	✅	✅	❌
ASR and TTS	✅ Elevenlabs, Deepgram, Azure	✅ Salute Speech	❌
IVR	✅	❌	❌

 

Tovie Platform has strong expertise in conversational technologies and integrates them directly into a multi-agent architecture. This allows automation not only of text dialogues and workflow triggers from messages, but also seamless embedding of voice agents into business processes. For example, an incoming support call can automatically create a ticket in a back-office system and trigger processing via other agents without operator intervention.

 

Dify provides basic voice support via Salute Speech, without built-in IVR or deep multi-agent integrations. n8n has no native support for voice channels, making such scenarios possible only through complex custom integrations. For teams exploring n8n alternatives, Tovie Platform offers a more complete approach with native voice capabilities and agent-level orchestration.

 

Security and compliance

	Tovie Platform	Dify	n8n
SSO authentication	Enterprise SSO	❌ Client-side	2FA / SSO
Authorisation (RBAC)	✅	❌ Client-side	❌ Client-side
Data encryption	✅ Enterprise-grade	❌ Client-side	❌ Client-side
Audit logs	✅ Advanced audit	❌ Client-side	❌ Client-side
Sensitive data masking	✅	❌ Client-side	❌ Client-side
Certification and compliance	Enterprise requirements supported   IBM FS validated, GDPR, SOC 2 Type 1, Cyber Essentials Plus, PII	GDPR, SOC 2, ISO 27001 Others are on the client side	SOC 2, SOC 3, GDPR Others are on the client side

 

In terms of security, Tovie Platform clearly outperforms OSS solutions, offering a full set of built-in enterprise features: RBAC-based authorisation, corporate authentication via SSO/SAML, data encryption, advanced user activity audit, and the system for masking sensitive data. The platform supports corporate compliance standards, making it suitable for highly regulated industries such as finance, telecom, and the public sector.

 

When looking at n8n vs dify, all security and compliance responsibilities fall on the customer, requiring additional resources, expertise, and time.

 

Monitoring, analytics and management

	Tovie Platform	Dify	n8n
Logging	✅	✅	✅
Performance	✅	❌ Client-side	❌ Client-side
Stability (errors)	✅	❌ Client-side	❌ Client-side
Token usage	✅	✅	❌
Alerts and notifications	✅	✅	✅

 

Tovie Platform provides a full built-in feature set: logging, scenario performance tracking, error and stability monitoring, token usage calculation, and an alerts and notifications system. This allows companies to see in real time how agents are performing, identify and resolve bottlenecks, forecast costs, and respond quickly to failures—without relying on external tools.

 

Dify AI platform and n8n include basic logging, but advanced metrics and performance monitoring remain the customer’s responsibility.

 

Support and service model

	Tovie Platform	Dify	n8n
Documentation	✅ Link	✅ Link	✅ Link
Learning resources	✅ Consulting, guides	✅ Guides and tutorials	✅ Guides and tutorials
Support	Enterprise SLA 1/2	❌ Community on Discord, GitHub	❌ Community on Discord
Implementation, testing, and scaling assistance	✅	❌	❌

 

Tovie Platform offers a comprehensive service model: detailed documentation, training materials in the form of consulting and personalised guides, SLA-level 1/2 support, and assistance at every stage—from implementation and testing to scaling solutions. This approach minimises risks when deploying complex AI systems and helps customers reach their target metrics quickly.

 

In Dify and n8n, documentation and basic learning materials are available, but technical support is effectively limited to community forums on Discord and GitHub. The lack of a formal SLA and guidance during critical deployment stages means the customer must rely on internal resources or third-party integrators, increasing TCO and project timelines. For organisations searching for an n8n alternative with full support and predictable delivery, Tovie Platform covers these gaps.

 

How to choose a platform for building AI agents

We carried out a detailed comparison of three leading platforms for building AI agents, so if you’re exploring n8n competitors or looking for a Dify alternative, this checklist will help. The final choice still depends on your business goals, resources and the specific tasks you need to solve.

 

Below is a short checklist of factors to consider:

 

• Functionality and flexibility. Look at how agent logic can be configured, what integrations are available, and whether the platform supports different languages and types of use cases.

 

• Ease of use and interface. Check whether the platform is suitable for non-technical users or if it requires a developer team, and match this with your own resources.

 

• Cost and licensing. Compare pricing, scaling terms, and how new features are added so you can choose a solution that works long-term.

 

• Scalability and performance. Find out if there are limits on the number of agents, request processing speed, and how easily the platform scales under heavier workloads.

 

• Integration with enterprise infrastructure. Make sure it supports the channels and services you rely on and meets your organisation’s security and data storage requirements.

 

• Documentation and support. Pay attention to how clear and up to date the documentation is, and whether professional, responsive technical support is available.