Kortix vs CrewAI: the open-source framework, and the open-source system a company owns

What CrewAI gives you: Crews and Flows

CrewAI is an open-source Python framework that orchestrates role-based, autonomous agents. It gives a developer two primitives. A Crew is a team of role-based agents that collaborate and delegate tasks among themselves. A Flow is an event-driven automation that holds control over execution paths, branching and state, and a Flow can call a Crew at one of its steps. CrewAI's own documentation puts Flows at the backbone of an application and Crews as the units of work inside them (CrewAI docs).

CrewAI is a library you import into an application your engineers already run. You install it, wire agents into a service, a job or a script, and deploy it wherever that Python application goes. crewai create crew scaffolds a project with agents, tasks and config, so a team can watch agents collaborate quickly (CrewAI on GitHub). That shape fits an engineering team that wants multi-agent behavior inside something it owns and operates.

What a framework leaves to the application

A framework answers how agents work together in code. It leaves the questions a whole-company deployment raises to the team that runs it.

Durable shared memory. CrewAI keeps short-term, long-term and entity memory within a run, and it can checkpoint a crew so an interrupted run resumes where it stopped. When several people and several agents need one company memory that outlives every run, that becomes a system of its own. In Kortix, memory is files in the repo the team owns, so it accumulates across sessions and can be read, diffed and rolled back.

Connectors to the whole company. CrewAI gives a developer a place to call tools; the wiring, the credentials and the rules over who may call what belong to the application. Kortix ships 3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP, and connector credentials are brokered server-side and never enter the machine.

Review by someone other than the author. When the reviewer works inside a framework, the reviewer reads the code that runs the agents. Kortix turns each agent's work into a change request with a diff, so a person who did not write the prompt decides what lands. Session work reaches main through a change request, and merge is default-deny for agents.

Governance and audit. Per-resource permissions for people and agents, roles, groups, and an audit trail are things a platform owns. A library that does not own the runtime cannot ship them. Kortix owns the runtime, and approval gates you set are off until you set them.

A surface for people who are not Python engineers. When a teammate in sales or finance should start a session, they need a place of their own. Kortix is reachable from the web app, Slack, Microsoft Teams and the CLI (Kortix docs).

Which one to pick

Pick CrewAI when the multi-agent work lives inside a Python application your engineers own and operate, and you want Crews and Flows to get there. It is a strong engine for that job, and the framework is free to use.

Pick Kortix when the work outgrows one application. The team wants the agents, their skills, the shared memory, the connectors and the permissions in one repo it owns, with each session on its own cloud computer and every change landing through a review a person approves. The comparison table on this page makes that line concrete.

When the work outgrows one application

The decision rests on ownership. A framework is a build layer inside an application the engineers keep; Kortix is the system the company runs on, and it is the recommendation once the agents stop belonging to one team's codebase.

Kortix is the open-source AI Operating System. The agents, their skills, the company memory and every connector live in one git repo you own, and each session runs on its own cloud computer. Run it on Kortix Cloud, in your VPC, or on your own on-prem network, and self-host is free. Free includes 200 credits each month for sandbox compute and 1 project; $40/seat/month includes 2,500 pooled credits per seat (Kortix pricing).

A reviewer keeps the last word. Work reaches main through a change request that reads as a diff, and the machine that produced it can install, run and change anything without touching anyone else's branch. The loop looks like this:

1kortix projects clone <project_id> my-project2cd my-project3git checkout -b tighten-triage4git commit -am "Tighten the triage prompt"5git push origin tighten-triage6kortix cr open --head tighten-triage --title "Tighten the triage prompt"

To run it on your own infrastructure, see self-hosting. If you are weighing other tools, CrewAI alternatives covers the field, and framework or system explains the boundary this page draws. The Kortix blog covers the same two projects at more length, and the home page starts from the overview.