Kortix vs Dify: build AI apps on a canvas, or run an open-source agent workforce you own

Dify is one of the strongest open-source ways to build an LLM application: a visual canvas, a document pipeline and an agent runtime in one product. Kortix is the open-source AI Operating System a company runs its agents on, with the whole system living as files in a git repo it owns. Both self-host, and both point at your own models. The decision comes down to the unit of work. Dify gives you an app to build and ship, and Kortix gives you a workforce to run and govern.

What Dify is

Dify is an open-source LLM app development platform. You compose a workflow on a visual canvas, wire model nodes, a retrieval pipeline and tools together, and publish the result as a web app or an API (Dify on GitHub). The RAG pipeline ingests common documents, including PDFs and slides, and the model layer reaches hundreds of proprietary and open-source LLMs from dozens of providers. Agents get a sandbox of their own to run commands, install software and handle files, and the Dify Marketplace adds tools and app templates beside them. A prompt IDE, observability through tools such as Opik, Langfuse and Arize Phoenix, and an API for every offering round out the product (Dify docs).

Where Dify is the stronger pick

Dify's canvas and its built-in retrieval are real advantages, and for some teams they decide the choice.

• A visual canvas maps the flow. When you want to see the whole path, from user input through retrieval to the model call, dragging nodes on a canvas shows every step at a glance (Dify on GitHub).
• Retrieval is built in. The RAG pipeline covers document ingestion through retrieval, with text extraction from PDFs, slides and other common formats out of the box, so a document assistant comes together without a second stack.
• A finished app is the deliverable. Dify publishes what you build as a web app or an API, which fits a team whose product is a customer-facing AI feature.
• The edition ladder is clear. A free Community Edition self-hosts with Docker Compose, and SSO and RBAC sit in Dify Enterprise (Dify on GitHub).

Those are the strengths of an application builder, and for a team shipping AI features to end users they are the point.

Where Dify stops short of a company system

Dify is organized around the application you build. A company runs on more than one application, and a few things follow from that.

• Configuration lives in the workspace. Applications, knowledge bases and model settings sit in Dify's workspace database and are reached through the console, so you cannot diff them like files (Dify on GitHub).
• The unit is the app. A workflow runs the nodes you drew, and work across the company does not share one memory or one review path by default.
• Its licence is not plain Apache 2.0. Dify ships under the Dify Open Source License, a modified Apache 2.0 with two added conditions: no multi-tenant service without written permission, and the console logo and copyright stay in place (Dify LICENSE).
• The control plane sits above the free tier. SSO and fine-grained roles live in the Enterprise edition, so the open Community Edition leaves part of the governance to a commercial tier (Dify on GitHub).

None of these is a flaw in an app builder. They are the limits a company meets when it runs many applications and needs one place to govern them.

One repo the company owns

Kortix keeps your agents, the skills they share, your company memory, connector configuration and triggers as files in one git repo you own (Kortix docs). An agent is a Markdown file, and kortix.yaml declares the machine image, the connectors and the triggers, so the system reads like documentation and reviews like code. You can grep the whole company, diff any change and roll it back, because nothing important lives inside a product database.

Each session runs on its own isolated cloud computer, on a branch cut from the repo, so thousands can run in parallel without crossover. Kortix takes any model provider with your own keys, or the ChatGPT plan you already pay for, and connector credentials are brokered server-side so the raw key never enters the machine. The install is one command, curl -fsSL https://kortix.com/install | bash, and a trigger starts a session with nobody asking, which is where a system you operate differs from an app you open:

triggers:
  - slug: daily-triage
    type: cron
    cron: '0 9 * * 1-5'
    prompt: Triage yesterday's tickets and open a change request with the digest.

Every change lands reviewed

The part that makes the system governable is the gate on the way back in. Session work reaches the default branch through a change request, and merge is default-deny for agents, so a person reads the diff before anything lands (Kortix on GitHub). Approval gates are off until you set them: you set each connector call to allow, ask or block, down to the arguments of the call, and a call set to ask waits for a person to approve it. Per-resource permissions cover people and agents, with roles, groups and an audit trail (Kortix docs).

That review path is the difference a buyer feels. Dify's output is an application you deploy. Kortix's output is a change a person can read, discuss and revert like any other commit.

Dify is lighter to stand up

For a single AI application, Dify is the faster path. Its Community Edition is one Docker Compose stack, its canvas needs no repo, and its retrieval pipeline is ready on day one (Dify docs). A team that wants a document assistant or a customer-facing chatbot, and nothing more, gets there with less to run and less to maintain. Kortix asks you to adopt a repo, a review process and a sandbox provider, which is more than an app builder needs. If the deliverable is one well-scoped application, Dify is the simpler choice.

Side by side

When to pick which

Kortix is free to start and free to self-host, with the Team plan at $40 per seat per month and 2,500 pooled credits per seat (Kortix pricing). Dify Cloud starts on a free Sandbox plan and moves to a paid Professional plan per workspace, with Enterprise priced per deal (Dify pricing).

Next reads: the best self-hosted AI workspace, Kortix vs n8n, and how to choose an open-source AI agent platform.

Give one team one job and let it land as a change you read first. Get started with Kortix on managed cloud, or self-host it for free.