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Build a 'Memory Galaxy' for your AI agents: Ultimate Agent OS setup

Julian Goldie Agency2 July 2026Watch on YouTube

Part of series

Ep. 12 · Obsidian als AI-Brein

Hoe je Obsidian inzet als persistente geheugen- en kennislaag voor AI-agenten zodat context nooit verloren gaat.

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Description

Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Free SEO Strategy Session 👉 https://go.juliangoldie.com/strategy-session?utm=AIPB Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Managing multiple projects with AI agents requires a sophisticated structure. A Memory Galaxy, built using Obsidian, acts as a centralized knowledge graph that allows distinct projects to coexist without overlapping. By utilizing segmented, interlinked markdown files and strategic color-coding, agents can navigate and retrieve specific data automatically. This organizational framework solves the problem of cross-project confusion, enabling agents to handle complex orchestration, from a lead-generating machine to CEO-level commands, all while maintaining clarity and efficiency. #AgentOS #ArtificialIntelligence #Obsidian #WorkflowAutomation #MultiAgentSystems

What you'll learn

  • A 'Memory Galaxy' in Obsidian serves as a knowledge graph that allows AI agents to manage multiple projects simultaneously without overlap
  • Segmented, interconnected markdown files and strategic color-coding enable agents to automatically retrieve specific data from the system
  • This organizational framework allows agents to handle complex tasks, from lead generation to CEO-level commands, while maintaining clarity and efficiency

Frequently asked questions

What is a 'Memory Galaxy' and how does it help manage multiple projects?
A Memory Galaxy is a knowledge graph built in Obsidian that serves as a central organizational hub. It allows agents to store and automatically retrieve different projects within the same structure without information overlapping.
How do segmented markdown files ensure AI agents find the right information?
By splitting markdown files into segments and interconnecting them, a knowledge graph is created. Agents can then navigate through these interlinked files and automatically locate and retrieve specific data using color-coding as a guide.
What advantages does this Memory Galaxy structure offer for complex agent orchestration?
The structure eliminates project overlap and confusion, allowing agents to work on multiple tasks simultaneously, ranging from lead generation to strategic CEO-level commands, all while maintaining clarity and operational efficiency.

Topics

ai agentsagent osknowledge managementworkflow automationmulti-agent systems