Multi-agent collaboration workspace
Isolated workspaces, memories and permissions for different collaborators, with scheduled tasks and a shared delivery directory organizing long-term collaboration.
EVIDENCE
- Independent workspaces
- Scheduled tasks & delivery records
- Permission & access boundaries
Each collaborator gets an independent workspace, memory and permission boundary; credentials and files never cross-contaminate. Long-term collaboration doesn’t live in chat history: scheduled tasks fire on time, deliverables land in a shared directory with records, and project state can be picked up later. This is the internal infrastructure behind our own daily delivery.
PROBLEM
Sharing one AI environment across people mixes up memories, credentials and files, and chat alone never adds up to stable project delivery.
APPROACH
Environments are isolated per user; working directories, scheduled tasks, delivery records and access control are organized so AI collaboration has clear boundaries and resumable project state.
BOUNDARY
No server addresses, accounts, keys or internal topology disclosed; no claims of absolute security.
- Multi-agent
- Private deployment
- Permissions
- Collaboration workflow
YOUR TASK