comparison
inference.sh teams vs Claude Cowork
Claude Cowork is closed and Claude-only. inference.sh teams is open, self-hostable, and model-agnostic.
| Claude Cowork | inference.sh | |
|---|---|---|
| team AI workspace | ||
| shared context across team | ||
| model-agnostic (claude + GPT + gemini + local) | ||
| self-hostable | ||
| open source | ||
| skill registry (evolving, public) | ||
| 250+ tools built in | ||
| scheduled automations (crons, triggers) | ||
| multi-channel (slack, telegram, discord) | ||
| custom integrations via MCP |
the key difference
Claude Cowork gives teams shared AI within the Anthropic ecosystem. it's polished, well-integrated with Claude, and works out of the box for teams already invested in Anthropic's products.
inference.sh teams is open, self-hostable, and model-agnostic. run Claude alongside GPT, Gemini, and local models. skills evolve through the public registry instead of being siloed within one vendor. you own your data and your compute.
skills that evolve
on Claude Cowork, your team's skills are private to your team. on inference.sh, skills live in a public registry. one person's breakthrough becomes everyone's baseline. your team benefits from improvements made by thousands of other users, and your contributions make the ecosystem better for everyone.
private skills are supported too. the difference is having the choice.
frequently asked questions
when should I use Claude Cowork instead of inference.sh teams?
if your team exclusively uses Claude and you want a fully managed experience without self-hosting concerns, Claude Cowork is a natural fit within the Anthropic ecosystem.
when should I use inference.sh teams instead?
when you need model choice (not just Claude), self-hosting, evolving skills from a public registry, 250+ tools, or integrations beyond what Claude Cowork supports.
can I switch between the two?
yes. inference.sh teams supports Claude as one of many models. you can start with Claude Cowork and migrate when you need more flexibility, or run them side by side.
ready to ship?
start with the hosted platform. deploy your own when you're ready.
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