Team Agentic OS Architecture and Implementation for AI Leverage
Generated: 2026-06-03 · API: Gemini 2.5 Flash · Modes: Summary
Team Agentic OS Architecture and Implementation for AI Leverage
Clip title: How to Build an Agentic OS Your Whole Team Can Actually Use Author / channel: Simon Scrapes URL: https://www.youtube.com/watch?v=TE6zNesGcvY
Summary
The video introduces the concept of a “Team Agentic Operating System” (Team OS), explaining its importance for businesses leveraging AI. While building a personal Agentic OS is relatively straightforward, a team-based system presents complexities such as secure memory sharing, empowering non-technical users, ensuring resilience against future AI updates, and avoiding vendor lock-in. The presenter details a system he’s developed within Claude, drawing inspiration from Y Combinator President Garry Tan’s GBrain, which aims to provide AI agents with the right context at the right moment, thereby overcoming the inherent limitations of Large Language Models (LLMs) like “context rot” and lack of long-term recall.
The proposed Team OS is structured around a three-tier data management system. The first tier involves utilizing familiar tools like Notion and Google Drive as the primary source of truth for human-authored and updated markdown files. These files contain essential company rules, brand guidelines, and general knowledge, making it easy for non-technical team members to maintain and edit. The second tier is the local Claude Code environment, where AI agents operate on and update technical files, scripts, and “skills” (process documents). These technical files are kept separate from Notion/Google Drive to prevent errors and simplify the non-technical user experience. The third tier is GitHub, which serves as a robust version control and backup system for all files, ensuring comprehensive historical tracking and recovery capabilities for the entire system.
A detailed folder structure is presented to manage various types of information, including global company rules, agent identities, shared knowledge bases, and dedicated workspaces for clients and internal departments. Crucially, the system allows for granular control and inheritance: global rules can be overridden by client-specific or department-specific rules, and individual users can maintain private .local.md files for personalized settings. Memory management is also addressed, with the system pulling long-term memories from a vector database. This hierarchical and layered structure is designed to map shared knowledge (the “shared brain”) against individual team member knowledge, ensuring appropriate context delivery.
Access control is a paramount consideration, enforced across all four systems: the shared drive (Notion/Google Drive), the local working environment (Claude Code), GitHub, and the memory database. The team owner controls shared document permissions in Notion/Google Drive. The local Claude Code environment’s access is governed by sync tokens reflecting those shared drive permissions. GitHub repository memberships must mirror these shared drive permissions to prevent unauthorized access to client-specific code or data. For the memory database, scalable solutions like shared PostgreSQL with Row-Level Security (RLS) are employed, tagging every data row by client and filtering queries based on user access. Ultimately, the entire Agentic OS is built on plain markdown files and folders, guaranteeing portability and freedom from vendor lock-in, allowing teams to integrate it with any AI harness now and in the future.
Video Description & Links
Description
🚀 Grab the Team OS discussed in this video (coming in June!): https://skool.com/scrapes Don’t miss the next build - https://www.youtube.com/@simonscrapes?sub_confirmation=1
Building an Agentic OS for yourself is one thing, but scaling it for a team introduces new challenges with memory, security, and usability. In this video, we provide the blueprint for a Team Agentic Operating System built inside Claude. We’ll walk through the three core considerations for building a system that allows shared knowledge, respects privacy, and is built to last.
00:00 - How to Build an Agentic OS Your Whole Team Can Actually Use 02:00 - Shared where it should be, private where it shouldn’t 05:00 - Team OS file structure 07:45 - Access Control
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