Coding Tools
Scaling AI Second Brains to Teams with Row-Level Security
Cole Medinhigh confidence
Why it matters
- →Solves the critical permission problem in team AI by enforcing row-level security at the database layer.
- →Provides a concrete pattern for sharing context across agents without compromising individual privacy or data silos.
- →Demonstrates practical integration of MCP with enterprise-grade database features for secure agentic workflows.
Cole Medin has published a tutorial and codebase for building a 'Team Brain' architecture using Oracle AI Database, designed to scale personal AI assistants to group contexts. The system ingests information from chat platforms, repositories, and documentation into a unified table, applying row-level security labels at the point of ingestion to enforce permissions on every query. Agents access this shared knowledge via MCP with distinct tokens, ensuring that sensitive data remains isolated based on user roles while maintaining individual agent personalities. The solution is presented as an open-source template available on GitHub, leveraging LangChain integrations for vector search and semantic retrieval.
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