How do their growth rates compare?

Dify has a month-over-month growth rate of -15%; Suna (Kortix CompanyOS) has 0%.

How does pricing compare?

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. Suna (Kortix CompanyOS): Freemium. Freemium. Free is $0 with 500 credits a month on your first workspace, no card, and you can bring your own API key or connect a ChatGPT subscription. Paid credit tiers run from $50/month (5,000 credits) to $50,000/month (5,000,000 credits), members are free and unlimited with one shared pool, and unused monthly credits roll over one month. Enterprise adds SSO, SCIM, RBAC, audit logs and cloud / VPC / on-prem deployment at custom pricing. 1 credit = $0.01 and buys roughly 5 minutes of agent computer time.

What are alternatives to Dify and Suna (Kortix CompanyOS)?

Other tools in related categories include Replit, n8n, Hermes-Agent, Clawdbot (OpenClaw), MindStudio.

Dify vs Suna (Kortix CompanyOS) — Traffic (819.69K vs 0), Pricing & Verdict

Open AI Tools

Dify vs Suna (Kortix CompanyOS) — Traffic (819.69K vs 0), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Dify	Suna (Kortix CompanyOS)
Official Domain	dify.ai	suna.so
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	4.6
Supported Platforms	Website	Website

Dify

Build, deploy, and govern production-ready agentic AI workflows

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.