One goal.
A team that
follows through.
Build a team of AI specialists to research, draft and review work together. Keep the context, answer questions when needed, and decide what is ready to use.
Invitation-only early access. Start with one guided workflow.
See one goal become shared work.
Illustrative demo · no account or model calls
- 1
Your goal
Tell the team what you’re working on.
New taskPrepare a launch brief
Research the audience, draft the message and check the evidence for our new service.
- 2
The team
Give each specialist a clear part.
- RResearcherFinds sources and compares needs.
- WWriterTurns the findings into a first draft.
- VReviewerChecks gaps before your review.
- R
- 3
Your decision
A question saves progress and waits.
- 4
The result
A brief comes back for your review.
Launch brief
SampleFor small agencies: lead with a repeatable client-research workflow, a clear handoff and a reviewed brief.
- Audience & positioning
- Message & next steps
- Sources & open questions
Real runs use your configured tools, permissions and budget. Waiting for you does not keep a model loop running.
The next run can start
with what your team learned.
Retrieve relevant, permitted task history with its source and contributor. Ask the agent who did the earlier work, then continue with that context.
Memory has a scope. You choose what is shared, and semantic indexing is optional.
Explore team memoryMemory from past work
Illustrative- Audience research
Researcher · task history · shared with this team
- Positioning notes
Writer · source-linked summary
- Ask the earlier contributor
A saved handoff, followed by a cited answer
A useful process becomes reusable when you approve it.
Accepting a result and approving a reusable skill are separate decisions. Approved skills can be imported or shared within their allowed scope.
How skill approval worksGive everyday work
a team of its own.
Choose a small, repeatable workflow to start.
Context stays with the task.
Decisions stay with you.
Set roles and limits, approve access, and review the work. If a team needs your input, it saves its progress and asks.
Read the capabilities & limits- Clear boundaries
- Workspaces, team scopes and explicit tool permissions.
- Visible progress
- Task states, handoffs, questions, usage and recovery actions.
- Deliberate access
- Configured providers, approved connections and bounded server procedures.
- Separate approvals
- Account access, external actions, results and reusable skills.
A few things to know
before you start.
What is an AI team?
A team gives different agents roles and tasks around a shared goal. Work can follow dependencies, ask another agent for context and return a result for the owner’s review. Agents still operate within configured tools and budgets.
Can I choose the models?
Crewmori supports configured provider routes, including OpenRouter. Other adapters and models depend on their setup and compatibility; not every combination has been live-verified.
What happens when the team needs help?
The task saves a question and waits. Your answer can resume the workflow. Budgets, deadlines and permissions still apply, and waiting does not consume an ongoing model loop.
What can it connect to today?
Configured integrations and approved POSIX SSH servers can be used for bounded tools. Social-content planning and review are available workflows; publishing to every social platform has not been verified. Check the current limits before planning a live action.
Does every agent see all my past work?
No. Retrieval follows the permitted workspace, team, task and source scopes. Sharing a skill is also separate from sharing private task history or authorizing account access.
How do I get access?
Tell us about one workflow through the access form. Requests are reviewed manually; account creation uses an invitation. Pricing and service terms for a wider release are not announced yet.
Bring your next workflow.
We’ll help shape the team.
Start with one real task, a clear scope and a result you can review.