Independent comparison, updated October 2026
The open-source CrewAI alternative
CrewAI is a Python framework for building multi-agent apps, and it is open source. When the work grows past one application, a framework is only the build layer. Kortix is the open-source AI Operating System for that work: your agents, skills, memory and connectors in one git repo you own.
# kortix.yamltriggers: - slug: daily-digest type: cron cron: '0 0 9 * * 1-5'One isolated sandbox per session. Each session has its own isolated machine and branch.
Open source · Any model, your keys · Self-host, VPC, or on-premKortix, CrewAI and LangGraph, side by side
Kortix is the whole system you own, CrewAI is a Python framework with a commercial control plane around it, and LangGraph is a low-level orchestration runtime.
| Criteria | RecommendedKortix | Python frameworkCrewAI | Orchestration runtimeLangGraph |
|---|---|---|---|
| Open source | Yes | Yes | Yes |
| What it is | The open-source AI Operating System | A Python framework for role-based multi-agent workflows | A low-level orchestration framework and runtime |
| Who owns the system | You do, in one git repo you own | The framework is yours; the AMP control plane is CrewAI's | You write the graph; LangChain Inc ships the runtime |
| Where it runs | Kortix Cloud, your VPC, or on-prem | In your Python process; AMP adds cloud or on-prem | Your infrastructure; LangSmith Deployment for a managed option |
| Memory and context | Memory is files in the repo you own | Crew memory and flow state; production traces in the control plane | Short-term working memory and long-term memory across sessions |
| Human review | Change-request review; merge is default-deny for agents | Human-in-the-loop approval gates during execution | Human-in-the-loop; inspect and modify state at any point |
| Model choice | Any model provider with your own keys | Multi-LLM; swap models at runtime | Model-agnostic; abstracts neither prompts nor architecture |
| Managed layer | Kortix Cloud, or self-host for free | AMP Suite: managed deployment, observability and governance | LangSmith Deployment and observability |
| Price | Free is $0 with 200 credits per month and 1 project | Framework is free to use; the AMP Suite is commercial | Open-source library; LangSmith Deployment is a separate LangChain product |
Kortix is listed first and recommended. Sources: kortix.com and kortix.com/docs; each project’s own site and repository; checked October 2026.
Six layers, each one a file or a command you can read
Kortix is the open-source AI Operating System: your agents, skills, company memory and connectors in one git repo you own, running on real cloud computers.
- 01Repo
One git repo that is the company
Agents, skills, memory, connector config and triggers are all text in one repo you own.
kortix.yaml # kortix.yamlagents: support-triage: file: agents/support-triage.md # what it does, in plain markdown connectors: all # what it may reachSource: README.md in https://github.com/kortix-ai/suna - 02Connectors
Every tool the company already runs on
3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP. Connector credentials are brokered server-side and never enter the machine.
kortix.yaml connectors: - slug: gmail name: Gmail provider: composio app: gmailSource: kortix.com/docs/connect/connectors - 03Models
Run any model, keep your keys
Any model provider with your own keys. Or the ChatGPT plan you already pay for. Or sign in with your OpenCode Console account for OpenCode Zen and Go.
terminal $ kortix providers set <provider>Source: kortix.com/docs/host - 04Harness
The part that turns a model into an agent
OpenCode is the harness, configured by a file in the repo, so the layer doing the thinking is never the thing you are locked into.
kortix.yaml opencode: config_dir: harnesses/opencodeSource: kortix.com/docs/project/manifest - 05Computer
A computer per session
One isolated sandbox per session. Each session has its own isolated machine and branch.
terminal $ kortix sessions new --prompt "Reproduce issue #142, fix it, and open a change request"Source: README.md in https://github.com/kortix-ai/suna - 06Review
One gate to land the work
Session work reaches main through a change request. Merge is default-deny for agents, so a person reads the diff first.
change-request flow change request ──> you review & merge ──> mainSource: README.md in https://github.com/kortix-ai/suna
Open source. Read it, fork it, audit it.
Questions teams ask before they pick a CrewAI alternative
The questions that come up most when a team weighs CrewAI against owning the whole system.
Is CrewAI still relevant?
Yes. CrewAI is an open-source Python framework with a large developer base, and its own site documents a commercial control plane around it. It is a strong choice when the deliverable is a Python application. Kortix answers a different question: running that work across a company as one system you own.
Is CrewAI open source and free?
CrewAI's framework is open source, and the repository is free to install and build on. CrewAI's own repository says the AMP Suite adds a commercial control plane around the framework for managed deployment, observability, governance and enterprise support, so the framework is free while the managed layer is commercial.
What do teams use instead of CrewAI when the work is bigger than one application?
Kortix, the open-source AI Operating System, is built for that. The same agents run in the web app, in Slack, in Microsoft Teams and from the CLI, on real cloud computers. The framework or a whole system page lays out the split.
Can I own the whole system, not just the build layer?
With Kortix, yes. Agents, skills, memory, connector config and triggers are files in one git repo you own, versioned and reviewable like code. You can run it on Kortix Cloud, in your VPC, or on your own on-prem network, and self-host is free. The self-hosting guide covers the box.
Does a person still review what an agent changes?
Session work reaches main through a change request. Merge is default-deny for agents, and approval gates you set are off until you set them, so you decide what an agent may do on its own.
What does Kortix cost?
Free is $0 with 200 credits per month and 1 project. The team plan is $40 per seat per month with 2,500 credits per month per seat, pooled. Self-host is free. The full framework question is in the Kortix vs CrewAI write-up.
Run your whole company from one repo you own.
Start with one job, then grow it into the system your team runs on.
Open source · Any model, your keys · Self-host, VPC, or on-prem