Local-first markdown notes with a knowledge graph — the course's second-brain substrate, pointed at by Karpathy's LLM-wiki writeup.

Pick this when

You want an AI-readable personal knowledge base that lives in plain files you own.

What makes it different

Plain markdown on disk: agents read and write it natively

Graph view turns linked notes into a navigable second brain

What it does

Notes, backlinks, graph visualization, plugin ecosystem (incl. LLM wiki plugins)

What it does not do

Common wrong expectations

Doesn't sync or collaborate by default — local-first is the point

Where it sits in a stack

The storage layer under personal-assistant/second-brain builds (Devesh's Jarvis project).

Shelf

Productivity & source apps

Our status · not-using

The KB's file conventions already fill this role for course knowledge.

Freshness

current

Related tools

competes withNotebookLM

notebooklm: hosted digestion vs owned files

Every moment the course touched it (4)

SessionCoverageMomentWhat happened
Office Hours III: Backing Up Claude Chats with Obsidian, Bridging Chat and Cowork, What Fable Is For, and the Context-Rot ProblemexplainedLocal second brain for Claude chats and outputs
Office Hours IV: PostHog over Plausible, the Launch-Fast Loop, Scraping Ethics, Agent Swarms with Memory, and Why You Never Give Credits Away FreementionedKnowledge graph, not agent memory
Session 13: Claude Code — Skills, Sub Agents & the Token Economy (posted as 'Beyond Vibe Coding — n8n & More')mentioned1:22:26His in-progress second brain, via Karpathy's LLM-wiki blog
Understanding Jev, the AI Built for Decisions (Sprint Day 2): Two Second-Brain Systems - a Leadership Self-Review Built Problem-First, and a Tag-Classifying Knowledge Base Where a Cheap Decision Model Replaces a Chat Modelmentioned

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