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OzBrain, a shared brain for knowledge between agents and your team

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A new platform called OzBrain is aiming to eliminate the repetitive task of manually copying information between AI tools. The system provides a shared knowledge base that multiple AI agents, including Claude, ChatGPT, and Cursor, can read from and write to simultaneously. This creates a single source of truth for a user's projects, preferences, and client details, ensuring every AI assistant starts with the same current context.

The core problem OzBrain addresses is context drift. Users frequently copy briefs, documents, and instructions between different AI services, leading to inconsistent copies. As the platform describes, "You keep moving context between agents by hand." This manual ferrying is inefficient and results in agents working from outdated or divergent information, which degrades the quality of their outputs.

The platform structures a user's knowledge into accessible categories. These include details on sales positioning, active client scopes and contacts, a personal writing voice, project statuses, and tool preferences. By organizing data this way, agents can retrieve only the specific information they need for a task, without requiring the user to re-explain context.

OzBrain is built on the MCP connector standard, allowing for integration. Users can add it as a custom connector in supported applications like Claude. The setup process is designed to take under two minutes, involving pasting a URL and signing in via an email code to create an account and brain.

The vision extends to team collaboration. A shared brain can be created and invited to by collaborators. This ensures all human team members and their respective AI agents work from the same, continuously updated knowledge base, maintaining alignment on project details and decisions.

The product's description references a philosophy from an OpenAI co-founder about the difficulty of maintaining traditional wikis. OzBrain positions itself as the solution by having agents actively maintain the knowledge base, reading and writing to it as they work. This transforms the brain from a static repository into a living, evolving resource that adapts with ongoing projects and conversations.

Read original article β†’Source: hn-frontpage