Why workspaces
- Isolation — separate environments (dev, staging, production), teams, or projects each get their own agents, credentials, and settings.
- Multi-cloud structure — each workspace targets one primary cloud provider, so you can run AWS, GCP, and Azure operations side by side in separate workspaces.
- Access control — grant members access per workspace, with optional role overrides for fine-grained permissions.
- Organized resources — agents, connections, knowledge bases, and operation history stay scoped to the workspace where they belong.
Create a workspace
Only organization Owners and Admins can create workspaces.Provider options
| Provider | Example services agents work with |
|---|---|
| EC2, S3, RDS, Lambda | |
| Compute Engine, Cloud Storage, BigQuery, Kubernetes Engine | |
| Virtual Machines, Blob Storage, SQL Database, Container Instances |
What lives in a workspace
Each workspace maintains its own set of resources:| Resource | Scope |
|---|---|
| Agents | Agent customizations, instructions, and workspace-specific knowledge |
| Connections | Cloud provider, database, and service credentials |
| Knowledge bases | Documentation, procedures, and references agents draw on |
| Operations | Pre-built and custom operations, plus their run history |
Workspace access
Access is managed through your organization role:| Organization role | Default workspace access | Can override per workspace? |
|---|---|---|
| Owner | Admin on all workspaces (implicit) | No — always Admin |
| Admin | Admin on all workspaces (implicit) | No — always Admin |
| Developer | Developer on assigned workspaces only | Yes |
| Viewer | Viewer on assigned workspaces only | Yes |
Grant workspace access
Edit workspace access
Find the Developer or Viewer, then click the grid icon next to their name to open workspace access settings.
Role overrides allow fine-grained control. For example, an organization Viewer can be given Developer access to one workspace where they need to run operations. To invite new members, see organization members.
Common workspace patterns
| Pattern | How to split | Typical use |
|---|---|---|
| Environment-based | Dev → Staging → Production | Separate cloud accounts, stricter access and incident-response knowledge in production |
| Team-based | Platform, feature, and security teams | Each team gets agents and knowledge bases tuned to its focus |
| Provider-based | One workspace per cloud provider | Keep AWS, GCP, and Azure credentials and operations apart |
Related
Manage organization
Configure organization settings, billing, and member management
Configure agents
Set up AI agents for your workspace operations