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This is an open-source personal knowledge graph built on SQLite that connects to Claude Code, Cursor, and any AI coding agent via MCP. the repo: https://github.com/bradwmorris/ra-h_os discord: / discord make your agents 'actually useful' by providing a persistent and fluid memory that compounds. No cloud. No vendor lock-in. In this walkthrough: Why Notion, Obsidian, and markdown aren't the right abstraction for AI How a local SQLite database + MCP server gives AI agents access to your personal context Live demo: building a knowledge graph from scratch The architecture: nodes, edges, dimensions, hub nodes, guides How context engineering changes how you work with AI == TIMESTAMPS == 0:00 - Not a product pitch — fully open source 0:15 - Why you need an external context graph 2:14 - Why Obsidian and Notion aren't the answer 3:44 - Setup walkthrough (beginner-friendly) 7:43 - The app — your knowledge base 8:23 - Adding content (podcasts, articles, PDFs) 9:27 - OpenAI API key setup 10:45 - App overview: feed, graph, dimensions 11:25 - Setting up the MCP server 15:06 - Claude Code + MCP in action 17:24 - How context traversal works 21:49 - Architecture deep dive: nodes, edges, dimensions 25:43 - Hub nodes and the context view 27:39 - Guides (skills for your agent) 29:04 - Get started + join the community == GET STARTED == GitHub: https://github.com/bradwmorris/ra-h_os Discord: / discord == WHAT I USE == Claude Code: https://claude.ai MCP: https://modelcontextprotocol.io SQLite: https://sqlite.org #obsidian #opensource #knowledgegraph #mcp #ai #claudecode #contextengineering