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§ 00

OpenHands alternatives: when an open source agent platform fits the team

OpenHands alternatives come in two kinds: another coding agent, or an open source platform that runs agents across the company. The open-source AI Operating System is that second kind, and Kortix is the platform to start with: agents, skills and company memory in one git repo you own.

§ 01

OpenHands alternatives, compared on what a team has to own

What changes when one coding agent becomes the platform the company runs on; rival facts come from each vendor's own pages, checked October 2026.

Kortix vs OpenHands

github.com
What it is
Open-source AI Operating System: agents, skills and memory in one repo
Agent platform for software development, with Agent Canvas as the control center
What one unit of work is
A session: one agent run on its own cloud computer and branch
A conversation with one agent, or an automation run
Where agents run
One cloud computer per session, on Kortix Cloud, your VPC, or on-prem
Your machine, Docker, a VM, OpenHands Cloud or Enterprise
Who reviews and approves changes
A person with project.gitops.merge reviews and merges the change request
Engineers keep review, approval and merge; automations open pull requests
Where config, skills and memory live
Files in the project repo beside kortix.yaml; agents and skills are markdown
Skills in .agents/skills in the repo, and ~/.agents/skills locally
Deployment
Kortix Cloud, your VPC, or on-prem; self-host is free
Local, self-hosted, OpenHands Cloud, or Enterprise in your VPC
Pricing
Free $0, 200 credits a month, 1 project; Team $40 a seat
Free locally; cloud tiers with your key or their models at cost
Is it open source
Yes. Open source. Read it, fork it, audit it.
Yes; the agent and Agent Canvas are open source

Kortix vs Claude Code

code.claude.com
What it is
Open-source AI Operating System: agents, skills and memory in one repo
Anthropic's coding assistant across terminal, IDE, desktop and web
What one unit of work is
A session: one agent run on its own cloud computer and branch
A task in a project directory, or a scheduled routine
Where agents run
One cloud computer per session, on Kortix Cloud, your VPC, or on-prem
Your machine, IDE, desktop, web, or Anthropic's cloud routines
Who reviews and approves changes
A person with project.gitops.merge reviews and merges the change request
You do; it stages, commits, branches and opens pull requests
Where config, skills and memory live
Files in the project repo beside kortix.yaml; agents and skills are markdown
CLAUDE.md, auto memory, skills and settings in the project
Deployment
Kortix Cloud, your VPC, or on-prem; self-host is free
Runs on your machine; routines run in Anthropic's cloud
Pricing
Free $0, 200 credits a month, 1 project; Team $40 a seat
Claude subscription or Anthropic Console account
Is it open source
Yes. Open source. Read it, fork it, audit it.
No

Kortix vs Cline

docs.cline.bot
What it is
Open-source AI Operating System: agents, skills and memory in one repo
Coding agent in your editor, terminal and desktop, with an SDK
What one unit of work is
A session: one agent run on its own cloud computer and branch
A task or team run in a folder, or a scheduled job
Where agents run
One cloud computer per session, on Kortix Cloud, your VPC, or on-prem
Your editor, terminal, desktop app, or a CI pipeline
Who reviews and approves changes
A person with project.gitops.merge reviews and merges the change request
You approve every edit and command, or turn auto-approve on
Where config, skills and memory live
Files in the project repo beside kortix.yaml; agents and skills are markdown
.clinerules files in the repo; team state persists across sessions
Deployment
Kortix Cloud, your VPC, or on-prem; self-host is free
Local apps and CLIs; enterprise adds SSO and remote configuration
Pricing
Free $0, 200 credits a month, 1 project; Team $40 a seat
Bring your own key, usage billing, or ClinePass at $9.99/month
Is it open source
Yes. Open source. Read it, fork it, audit it.
Yes; the JetBrains plugins are not open source
§ 02

What OpenHands is good at

OpenHands is an AI agent platform for software development. Its agent plans, writes and applies changes across a codebase, and its README describes Agent Canvas as the self-hosted control center for coding agents and automations, running OpenHands, Claude Code, Codex, Gemini, Pi, OpenCode or any ACP-compatible agent across local, remote and cloud backends (OpenHands on GitHub). It runs on your machine by default, in Docker, on a virtual machine, or in OpenHands Cloud. A single coding agent is the right tool while the work is code in one repository, the task is well defined, and a developer can read the diff before it lands. OpenHands also gives you a free local path and a self-hosted deployment, so hosting and cost rarely decide the question on their own.

When the decision is about who runs the agents

The alternatives question changes shape when the work leaves the repository. Support replies, weekly reporting, renewal paperwork and onboarding all need an agent, and none of them ends in a pull request a developer reviews. At that point someone has to decide where the configuration and the company memory live, which machine a session runs on, who approves what an agent changed, and which surfaces the agents are reachable in. Kortix is the platform for that layer: a project is a git repo with kortix.yaml at its root, and your agents, skills, company memory, tools, triggers and connectors are files in it (Read the docs). A git repository you own also answers the question buyers ask last: what happens to all of this if the vendor changes.

What to compare

Five decisions separate a coding agent from a platform a company runs on. The comparison table on this page puts Kortix, OpenHands, Claude Code and Cline on the same rows.

§ 03

Where the config and the approvals live

kortix.com/docstext
A project is a git repo with kortix.yaml at its root.Kortix hosts the repo, or you connect your own.Agents, skills, memory, tools, triggers and connectors are files in it.A session runs one agent in its own sandbox.The sandbox clones the repo and works on a new branch.The agent commits, pushes the session branch, and opens a change request.A person with the project.gitops.merge permission reviews the change request and merges it into the project's default branch.
https://kortix.com/docs
A project is a repo, a session is one agent run, and a change request is what a person merges.
§ 04

Where the configuration and the company memory live decides how portable the whole setup is. Kortix keeps agents, skills, memory, tools, triggers and connectors in the project repo beside kortix.yaml, so a change to how the company works arrives as a diff a person can review. OpenHands loads skills from .agents/skills in a repository and from ~/.agents/skills on a machine, and organization or user skill repositories apply to every repository they cover (OpenHands docs).

Where a session runs decides how much of your own infrastructure you maintain. One isolated sandbox per session. Each session has its own isolated machine and branch, and the branch is named after the session id, so two pieces of work never share a working directory. OpenHands runs a conversation on your machine, in Docker, on a virtual machine, or in its cloud.

Who approves a change decides how much trust the platform needs. Session work reaches main through a change request, and merge is default-deny for agents. An agent merges its own change request only when the project grants it the merge permission, and a person with project.gitops.merge can review and merge the rest. OpenHands keeps engineers in control of review, approval and merge, and its automations open pull requests into the same process.

Which channels reach the agent decides whether the rest of the company ever uses it. Slack and Microsoft Teams are live in Kortix, and email is experimental, per project. Mention the bot in a channel with a task and it starts a session. OpenHands connects its automations to Slack, GitHub, Jira and Linear, so events start the work there.

How you self-host decides whether the platform clears procurement. Kortix runs on Kortix Cloud, in your VPC, or on your own on-prem network, and self-host is free: the kortix self-host commands install the full stack on your own infrastructure (self-hosting). OpenHands offers a self-hosted deployment and a private VPC option on its Enterprise tier.

Cost sits on top of these five. OpenHands is free to run locally, with paid cloud tiers on top (OpenHands pricing). Claude Code needs a Claude subscription or an Anthropic Console account (Claude Code docs). Cline sells usage billing, your own model keys, or a flat subscription (Cline docs). Kortix is $0 with 200 credits per month and one project on Free, and $40 per seat per month with 2,500 pooled credits on Team. Enterprise adds SAML 2.0 single sign-on and SCIM 2.0, per-resource permissions for people and agents, roles, groups, and an audit trail (See pricing). What OpenHands costs works through the self-hosted bill in more detail.

A decision path from one coding agent to a platform the team owns

Keep a coding agent for the code. A defined task in one repository is what OpenHands is good at, and that work does not have to move for the rest to.

Move the shared state into a repo you own. Create a Kortix project and put the agents, skills and memory files in it. Kortix hosts the repo, or you connect your own, so the files stay in version control either way.

Give each piece of work its own machine. A session runs one agent in its own sandbox, clones the repo, works on a new branch, commits and pushes.

Put a person in the approval path. Decide who holds project.gitops.merge, and leave that grant out of the agent configuration if you want every change reviewed before it lands.

Add the surfaces the company already uses. Connect Slack or Microsoft Teams, or start a session from the kortix CLI, the desktop app, or the Kortix MCP server.

Self-host when procurement asks. SAML 2.0 single sign-on and SCIM 2.0 arrive with Enterprise, along with VPC and on-prem deployment. OpenHands vs Kortix covers the head-to-head.

Moving without losing the skills the team already wrote

A skill is a markdown file that encodes how the company does one job, and both platforms keep skills as files. OpenHands loads them from .agents/skills in a repository and from ~/.agents/skills on a machine. Kortix loads the skills that sit in the project repo, next to kortix.yaml. Moving a library across is a copy into a session branch and a change request, which gives a person the last look before the files land. Bring the skills the team uses every week and leave behind the ones that only describe one developer's machine. Whether OpenHands is open source matters here: files you can read and fork are files you can move.

A team that has outgrown one coding agent is choosing who owns the configuration, the memory and the approvals. Kortix is open source, so the answer is code you can read, fork and audit (Kortix on GitHub), and the layer map on the homepage shows what each piece does before you move anything.

§ 05

OpenHands questions buyers ask before switching

Q01

What are some alternatives to OpenHands?

The alternatives split into coding agents, such as Claude Code and Cline, and platforms a company runs on, such as Kortix. The comparison table on this page puts all four on the same rows, so you can see which one answers the question you are actually asking.

Q02

Is OpenHands open source?

Yes. The agent and Agent Canvas are published as open source, and you can run both on a machine you control. Whether OpenHands is open source covers what that includes and what it leaves out.

Q03

Do I need Docker to run OpenHands myself?

Not for the local interface. Its README installs Agent Canvas with npm and runs it with Node.js 24 or later, while the Docker path gives each conversation its own agent server and workspace. The same README recommends a server for agents that keep working after you close the laptop.

Q04

Which OpenHands alternative fits best when the agents belong to the whole company?

Kortix. Your agents, skills and company memory live in one git repo you own, each session runs on its own cloud computer, and session work reaches main through a change request a person merges.