KyoubeAI vs QoderWake: AI employees in a shared workspace

Feature by feature

Features compared
Capability	KyoubeAI	QoderWake
Multiplayer environment
One sign-in for the whole company	Yes	PartialTeams and Enterprise plans
People and agents in one shared workspace	Yes	PartialThrough chat-app groups
Tasks handed between people and agents	Yes	PartialOwned by Wakers only
Governance
Companies kept apart at the database level	Yes	No
An audit trail for every change	Yes	PartialRun records, per account
Human approval before risky actions	YesBy admin policy	Yes
Data and apps
A database the agents design and populate	Yes	No
Apps the agents build and publish	Yes	No
Apps respect each viewer's permissions	Yes	No
Hosting, models and licence
Runs on your own server	Yes	PartialRuntime only, on Qoder's service
Bring your own model providers	Yes	No
Choose the agent runtime	Yes	No
Source code you can read	YesBSL 1.1	No
Trade-offs
Nothing to host or maintain	PartialHosted plan in early access	No
On a phone as well as in a browser	No	YesThrough chat apps

In brief
Criterion	KyoubeAI	QoderWake
What it is	A self-hosted AI operating system where a company's people and AI agents work together.	Qoder's platform for AI employees called Wakers, each with a role, memory, skills and red lines. It reached version 1.0 on 3 September 2026.
Built for	Organisations that want agents working under their own roles and approvals, with someone who can run Docker.	Individuals and teams with clear, recurring work, handing it to AI employees through chats, schedules, events or APIs.
Where it runs	Your own server, from one Docker Compose file. It needs 4 GB of RAM on amd64 or arm64.	An app on macOS, Windows or Linux, or on a cloud desktop or server. It uses a Qoder account and the models Qoder provides.
Price	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.	Credits from a Qoder plan, individual or Teams and Enterprise. Prices are in Qoder's pricing documentation.

What it is
KyoubeAI
A self-hosted AI operating system where a company's people and AI agents work together.
QoderWake
Qoder's platform for AI employees called Wakers, each with a role, memory, skills and red lines. It reached version 1.0 on 3 September 2026.
Built for
KyoubeAI
Organisations that want agents working under their own roles and approvals, with someone who can run Docker.
QoderWake
Individuals and teams with clear, recurring work, handing it to AI employees through chats, schedules, events or APIs.
Where it runs
KyoubeAI
Your own server, from one Docker Compose file. It needs 4 GB of RAM on amd64 or arm64.
QoderWake
An app on macOS, Windows or Linux, or on a cloud desktop or server. It uses a Qoder account and the models Qoder provides.
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.
QoderWake
Credits from a Qoder plan, individual or Teams and Enterprise. Prices are in Qoder's pricing documentation.

your team already works in DingTalk, Feishu or WeCom and wants AI employees answering inside those chats
you would rather install an app on a laptop or cloud desktop than run a Docker stack
you want AI employees that learn from each task, with memory you can inspect, edit and roll back

people and AI employees should work the same board, with any task passing from one to the other
the records agents produce must live in a database you own, with every change audited
agents should build apps your team opens as ordinary pages, with each viewer's permissions checked
you want your own model keys and a choice of agent runtime, with source code you can read

Tasks pass both ways on one board
In KyoubeAI any task can be owned by a person or an AI employee, and several of each work one board at once. QoderWake's Task Board tracks work owned by Wakers and Groups, and people step in to approve or advise.
Company data in your own database
Agents design and fill a Postgres database you host, and every change is audited in the same transaction. QoderWake keeps memory, projects and knowledge bases, but its documentation describes no shared database for Wakers to build.
Your own model keys and runtime
Use your own Anthropic, OpenAI or OpenRouter keys, and pick Claude Code, pi or Hermes Agent as the runtime. QoderWake runs on its bundled Qoder CLI with the models Qoder provides, billed in Credits.