# The AI Workspace for your entire Team

CoChat turns agent workflows into a team capability: shared projects and chats, assistants that everyone can use, real-time collaboration, and security boundaries that prevent tool misuse and memory leakage.

### Team collaboration, built on governance

The hard part of “team AI” isn’t chat.

It’s deciding who can run tools, where knowledge can flow,

and how to keep personal context from contaminating shared work.

###### Create a shared project

Workstreams live in projects with their own chats and memory boundary.

###### Add assistants to the chat

Assistants participate in shared chats and are aware of other assistants/models.

###### Execute safely

Tool safety is enforced: only the owner can execute tools in collaborative chats.

### Collaboration features that matter to security-conscious teams

You’re not trying to “add more chat.” You’re trying to operationalize AI workflows across a team without creating new paths for data leakage or tool abuse.

##### Shared projects and chats

✅ Organize work by customer, function, or environment.

✅ Shared chats

One place for the team to coordinate with the same context.

✅ Real-time collaboration  
Collaborate live instead of sending screenshots and summaries.

##### Assistants as team members (without chaos)

✅ Assistants in shared chats

Everyone can interact with assistants inside the same thread.

✅ Multi-assistant awareness

Assistants and models are aware of each other in collaborative contexts.

✅ Clear boundaries

Shared context stays shared; personal context stays personal.

### Tool safety in collaborative chats

This is where most “team agent” products get dangerous:

anyone can trigger actions using powerful tools.

CoChat enforces a simple rule that reduces blast radius immediately.

##### Owner-only execution

In collaborative chats, only the chat/project owner can execute tools. Everyone can ask, review, and iterate—execution stays controlled.

✅ Fewer accidental actions

No surprise runs from well-meaning teammates.

✅ Clear accountability

One accountable actor for tool-triggered actions.

✅ Faster security approval  
Security teams can reason about the control model quickly.

##### Designed to prevent cross-context leakage

Collaboration isn’t useful if it leaks. CoChat keeps team context scoped to the project and protects against personal memories bleeding into shared work.

✅ Project memory

Shared memory belongs to the project, not an individual’s personal workspace.

✅ Personal memory isolation

Protection against personal memories leaking into collaborative chats.

✅ Predictable boundaries

People can collaborate without guessing what “the AI might reveal.”

### Automations that won’t keep your security team up at night

Unlike tools that give AI raw shell access to your machine, CoChat automations run in isolated, sandboxed environments. Every tool call is proxied, logged, and constrained.

- No shell access — code runs in isolated containers
- Browser automation in ephemeral VMs on Fly.io
- All tool calls proxied through MCP with audit logging
- 5-minute execution timeout prevents runaway agents
- Concurrency guards prevent duplicate execution
- Tenant-isolated data — your data never touches other accounts

### Team AI that doesn’t blow up your risk profile.

Adopt OpenClaw across your team with shared projects, shared assistants, and enforced tool safety.