Organize and track projects, set deadlines, and gain insights with customizable boards and advanced analytics.
TeamBrain

About TeamBrain
TeamBrain is a shared AI-native workspace designed to serve as a unified knowledge base for entire teams. It stores team knowledge in plain markdown format, enabling any AI tool that supports MCP to connect directly without requiring custom integrations. The platform integrates project management features such as a Kanban board, shared calendar, decision log, and asset attachments, all of which can be operated by AI. TeamBrain acts as an intermediary between a team’s existing AI tools and their collective knowledge, allowing members to continue using preferred models like Claude or ChatGPT while pulling from a single shared source. This setup ensures consistency and reduces duplication across workflows. By centralizing team knowledge and making it accessible to AI, TeamBrain streamlines collaboration and enhances productivity without disrupting existing tooling preferences.
Key features
- Shared AI-native workspace for teams
- Stores knowledge in plain markdown format
- Supports MCP-compatible AI tools
- Built-in Kanban board for task management
- Shared calendar for team scheduling
- Decision log for tracking choices
- Asset attachments for files and resources
- AI-operable project management features
- Acts as a bridge between AI tools and team knowledge
Use cases
- Centralizing team documentation and tasks in one place
- Enabling AI tools to access and update shared knowledge
- Streamlining project management with integrated Kanban and calendar
Pros
- Native AI-first architecture with plain markdown knowledge storage for fast AI access
- Supports MCP protocol for seamless integration with any AI tool that supports it
- Centralizes team knowledge to eliminate duplication and ensure consistency across workflows
- Built-in project management features (Kanban, calendar, decision log) operated by AI
- Preserves team autonomy by allowing continued use of preferred AI models and interfaces
Cons
- Requires team adoption of a new shared workspace paradigm for AI collaboration
- Limited to teams comfortable with markdown and AI-native workflows
- Dependent on AI tools supporting MCP protocol for full functionality
Frequently asked questions about TeamBrain
What is TeamBrain and who is it designed for?
TeamBrain is an AI-native shared workspace designed for teams that want to collaborate effectively with AI. It serves as a centralized knowledge base where teams can store, manage, and share information in plain markdown format, enabling any AI tool that supports MCP to connect directly.
How does TeamBrain work with existing AI tools?
TeamBrain acts as an intermediary between a team's existing AI tools and their collective knowledge. It allows members to continue using preferred models like Claude or ChatGPT while pulling from a single shared source, ensuring consistency and reducing duplication.
Does TeamBrain require custom integrations to work with AI tools?
No, TeamBrain speaks MCP natively, so any AI that supports MCP connects directly to your shared brain without requiring custom plugins or integrations.
What project management features does TeamBrain include?
TeamBrain includes a Kanban board, shared calendar, decision log, asset attachments, and comments on documents. These features are AI-native, meaning your AI can operate them directly without manual intervention.
How does TeamBrain handle data privacy and ownership?
TeamBrain treats team knowledge as sacred, with private access controls so people only see what they should. It never reads or trains on your data, and you can export your knowledge as plain markdown files at any time.
Can TeamBrain be used by remote or asynchronous teams?
Yes, TeamBrain is built for remote and asynchronous teams. It captures context such as decisions, changes, and reasoning, so anyone joining later or using AI can instantly catch up without missing critical information.
TeamBrain Website Engagement
Last Update: 9 days ago