About Rovai AI
Rovai AI is like an Agent guild of your own, where you can recruit members with different personalities and roles.
Together, they explore, discuss, and act on real tasks — building
team chemistry and collaborative memory along the way.
Core Capabilities
| Core capability | What it means in Rovai |
| --------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Long-lived members | Preserve each member's enduring identity, appearance, responsibilities, and working style so they can rejoin the team across Camps and Tasks. |
| Camp collaboration | Organize shared conversations, long-lived members, Tasks, attachments, and execution state around one objective, reducing the context users must carry between separate windows. |
| Role-based collaboration | Turn paired questioning, document-informed decision-making, code review, and group discussion into repeatable ways for a team to work together. |
| Tasks and ownership | Give ongoing work a title, owner, and state so unfinished work remains trackable and can be picked up by another member. |
| Member handoffs | Use @mentions, the default Lead, direct replies, and A2A routing to pass questions, conclusions, and next actions to the right member. |
| Visible execution | Inspect tool calls, process state, intermediate results, and final delivery in an independent execution console instead of hiding real work behind a single completion message. |
| Approvals, evidence, and recovery | Require explicit approval for important actions, preserve reviewable execution evidence, and continue from existing state after interruption. |
| Collaborative memory | Preserve important decisions, lessons, and team habits so members gradually understand how this team has solved problems together. |
| Native capability compatibility | Use a generic ACP Adapter to connect Agent Runtimes that support ACP while preserving their native models, permissions, Skills, MCP, and session capabilities whenever possible. |
These capabilities are not isolated features. They are connected by one collaboration architecture:
src="docs/assets/readme/rovai-architecture.png"
alt="Rovai AI architecture showing the Principal, Desktop, Core, Runtime Adapter Layer, Agent Runtimes, user workspace, and Runtime-native capabilities"
