Comparison

KyoubeAI vs Codex

Codex is OpenAI's coding agent for the terminal, the editor and the cloud. KyoubeAI is one workspace for a whole company's people and agents, on your server.

Feature by feature

Features compared
CapabilityKyoubeAICodex
Multiplayer environment
One sign-in for the whole company
Yes
PartialBusiness, Enterprise and Edu
People and agents in one shared workspace
Yes
PartialIn Linear, Slack and GitHub
Tasks handed between people and agents
Yes
PartialThrough Linear issues
Governance
Companies kept apart at the database level
Yes
No
An audit trail for every change
Yes
PartialEnterprise and Edu plans
Human approval before risky actions
YesBy admin policy
Yes
Data and apps
A database the agents design and populate
Yes
PartialOne per Site, in beta
Apps the agents build and publish
Yes
PartialThrough Sites, in beta
Apps respect each viewer's permissions
Yes
PartialAccess per Site only
Hosting, models and licence
Runs on your own server
Yes
PartialOpen-source CLI only
Bring your own model providers
Yes
PartialLocal clients only
Choose the agent runtime
Yes
No
Source code you can read
YesBSL 1.1
PartialCLI and SDK, Apache-2.0
Trade-offs
Nothing to host or maintain
PartialHosted plan in early access
Yes
On a phone as well as in a browser
No
Yes

The two products in brief

In brief
CriterionKyoubeAICodex
What it isA self-hosted AI operating system where a company's people and AI agents work together.OpenAI's coding agent. It runs as a CLI, an IDE extension, cloud tasks and inside the ChatGPT desktop app, and it takes work from GitHub, Slack and Linear.
Built forOrganisations that want agents working under their own roles and approvals, with someone who can run Docker.Developers and engineering teams on ChatGPT plans who want an agent to write and review code.
Where it runsYour own server, from one Docker Compose file. It needs 4 GB of RAM on amd64 or arm64.On your computer, inside a sandbox, through the CLI, the IDE extension or the ChatGPT desktop app. Cloud tasks run in containers that OpenAI manages.
PriceFree for up to five users on your own server, then US$39 per user a month self-hosted or US$99 hosted, with custom terms for enterprises. You pay your model providers for usage.In every ChatGPT plan, with the CLI, IDE extension and cloud from Plus up. An API key is billed by usage. Prices are on OpenAI's Codex pricing page.
  • What it is

    KyoubeAI
    A self-hosted AI operating system where a company's people and AI agents work together.
    Codex
    OpenAI's coding agent. It runs as a CLI, an IDE extension, cloud tasks and inside the ChatGPT desktop app, and it takes work from GitHub, Slack and Linear.
  • Built for

    KyoubeAI
    Organisations that want agents working under their own roles and approvals, with someone who can run Docker.
    Codex
    Developers and engineering teams on ChatGPT plans who want an agent to write and review code.
  • Where it runs

    KyoubeAI
    Your own server, from one Docker Compose file. It needs 4 GB of RAM on amd64 or arm64.
    Codex
    On your computer, inside a sandbox, through the CLI, the IDE extension or the ChatGPT desktop app. Cloud tasks run in containers that OpenAI manages.
  • Price

    KyoubeAI
    Free for up to five users on your own server, then US$39 per user a month self-hosted or US$99 hosted, with custom terms for enterprises. You pay your model providers for usage.
    Codex
    In every ChatGPT plan, with the CLI, IDE extension and cloud from Plus up. An API key is billed by usage. Prices are on OpenAI's Codex pricing page.

Which should you choose?

Choose Codex if

  • your team writes software and wants one agent across the terminal, the editor, cloud tasks and pull request review
  • you want to hand a task to an agent from Linear, Slack or GitHub and get the change back to review
  • you want nothing to host, with cloud tasks that keep running and approvals from your phone

Choose KyoubeAI if

  • the whole company needs one place where people and agents share roles, data and an audit trail
  • the work goes beyond code, into the records, trackers and apps your staff use every day
  • the data agents produce must live in a Postgres database on servers you run
  • you want to choose between Claude Code, pi and Hermes Agent, with keys from Anthropic, OpenAI or OpenRouter

Where KyoubeAI is ahead

  • A board for the whole company

    People and AI employees work the same board, and any task can be owned by either. Codex takes work from Linear, Slack and GitHub, and shares a local thread with colleagues as a read-only snapshot.

  • Company data in your own database

    Agents design and fill a Postgres database your company hosts, and every change is audited. ChatGPT's Sites beta gives each hosted Site its own database, with access set per Site.

  • The whole product on your server

    KyoubeAI runs entirely on your server, with Claude Code, pi or Hermes Agent and your own Anthropic, OpenAI or OpenRouter keys. Codex's open-source CLI can use other providers, but cloud tasks and integrations run in OpenAI's cloud with ChatGPT sign-in.

The inbox showing a KyoubeAI onboarding task with six sub-tasks beneath it, from one-time setup to board clean-up, each with an ID and a done tick.
Work is tracked as tasks under one parent, whether a person or an agent does it.

Run KyoubeAI on your own server.

It is free to run at any size. You need a machine with Docker and keys for the model providers you use.

  1. Clonegit clone https://github.com/jknigel/KyoubeAI.git && cd KyoubeAI
  2. Configurecp .env.example .env
  3. Rundocker compose up -d --build

Sources

Every claim about Codex comes from these pages, read on the dates shown.

Show all 19 sources
  1. Codex CLI (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  2. Codex IDE extension (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  3. Codex cloud (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  4. ChatGPT desktop app (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  5. What's new (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  6. Remote (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  7. Use Codex in Linear (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  8. Use Codex in Slack (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  9. Review GitHub pull requests with Codex (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  10. Use ChatGPT (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  11. Pricing (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  12. Agent approvals and security (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  13. Roles and workspace permissions (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  14. Compliance API and audit events (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  15. Authentication (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  16. Advanced configuration: custom model providers (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  17. Sites (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  18. Open Source (ChatGPT docs) (opens in a new tab) · read 23 Sept 2026
  19. openai/codex README and licence (GitHub) (opens in a new tab) · read 23 Sept 2026

Spotted a change? Open an issue (opens in a new tab).