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Karpathy dropped a viral post about building a "second brain" with AI. We built it live in under 20 minutes. The system: 1. Three folders: raw/ (brain dump), wiki/ (AI organizes it), outputs/ (query results) 2. One-click install: npx skills add NicholasSpisak/second-brain 3. Obsidian Web Clipper to capture any...

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Corey Ganim

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128,845 views • 5 months ago •via X (Twitter)

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I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.
1:48

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

CyrilXBT

323,486 views • 2 months ago

Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.
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Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Simplifying AI

68,025 views • 1 month ago

everyone's talking about building a second brain with claude code + obsidian right now. so i made a full video walkthrough showing exactly how to set it up from scratch. drop an article into a folder. claude code reads it, creates wiki pages, builds relationships between concepts, and links everything automatically. by 20 sources your wiki knows more about your domain than you can hold in your head. here's the full setup:
13:22

everyone's talking about building a second brain with claude code + obsidian right now. so i made a full video walkthrough showing exactly how to set it up from scratch. drop an article into a folder. claude code reads it, creates wiki pages, builds relationships between concepts, and links everything automatically. by 20 sources your wiki knows more about your domain than you can hold in your head. here's the full setup:

J.B.

55,133 views • 5 months ago

A guy runs 3 AI businesses from a chair and one prints $100,000 a month with zero employees. Everyone has the same AI now. Most of it spits out slop because they hand it a prompt and pray. He hands it a brain. Before his agent writes 1 word, it reads everything. A copywriting skill he built himself, a headline swipe file, his own marketing notes, and David Frey's 12-step sales letter system. Then it opens the context folder and swallows the whole company. The full knowledge base, the customer avatar, the exact questions real members ask in the private group. The tool is free and it's called Obsidian. Folders and files, nothing fancy. The skills are his, the context is his, and that's the part nobody can copy. Same model everyone else has. 1 guy builds slop, 1 guy builds $100,000 a month. The difference was never the AI. It was everything you fed it first.
6:08

A guy runs 3 AI businesses from a chair and one prints $100,000 a month with zero employees. Everyone has the same AI now. Most of it spits out slop because they hand it a prompt and pray. He hands it a brain. Before his agent writes 1 word, it reads everything. A copywriting skill he built himself, a headline swipe file, his own marketing notes, and David Frey's 12-step sales letter system. Then it opens the context folder and swallows the whole company. The full knowledge base, the customer avatar, the exact questions real members ask in the private group. The tool is free and it's called Obsidian. Folders and files, nothing fancy. The skills are his, the context is his, and that's the part nobody can copy. Same model everyone else has. 1 guy builds slop, 1 guy builds $100,000 a month. The difference was never the AI. It was everything you fed it first.

Veltrx

15,691 views • 2 months ago

Andrej Karpathy (co-founder of OpenAI, LLM Wiki pattern creator): "Obsidian is the IDE. The LLM is the programmer. The wiki is the codebase. knowledge compounds like interest when the AI owns the maintenance." Someone built the open-source implementation of that principle. 6,800 stars. MIT licensed. Two minutes to install. Here is what it actually does: → ingest: drop a source, Claude reads it, pulls out people and ideas, creates 8-15 linked pages automatically → batch ingest: parallel agents read an entire pile at once, then cross-reference everything → query: ask your brain anything, it reads the cache, scans the index, cites the exact pages → /autoresearch: three rounds of search, fetch, synthesize, file — autonomous web research → lint: finds orphans, dead links, stale claims, missing cross-references → the real unlock: point every claude code project at the same vault — one brain, every project hot cache refreshed at the end of every session. next session opens with full recent context. no recap, no re-explaining. plain markdown, no subscription, no lock-in. Bookmark so you do not lose it! Follow NeilXbt for more Obsidian and Claude builds that show you what a self-maintaining second brain actually requires.
4:19

Andrej Karpathy (co-founder of OpenAI, LLM Wiki pattern creator): "Obsidian is the IDE. The LLM is the programmer. The wiki is the codebase. knowledge compounds like interest when the AI owns the maintenance." Someone built the open-source implementation of that principle. 6,800 stars. MIT licensed. Two minutes to install. Here is what it actually does: → ingest: drop a source, Claude reads it, pulls out people and ideas, creates 8-15 linked pages automatically → batch ingest: parallel agents read an entire pile at once, then cross-reference everything → query: ask your brain anything, it reads the cache, scans the index, cites the exact pages → /autoresearch: three rounds of search, fetch, synthesize, file — autonomous web research → lint: finds orphans, dead links, stale claims, missing cross-references → the real unlock: point every claude code project at the same vault — one brain, every project hot cache refreshed at the end of every session. next session opens with full recent context. no recap, no re-explaining. plain markdown, no subscription, no lock-in. Bookmark so you do not lose it! Follow NeilXbt for more Obsidian and Claude builds that show you what a self-maintaining second brain actually requires.

NeilXbt

33,993 views • 2 months ago

A 26-YEAR-OLD AI ENGINEER WHOSE BIRMINGHAM THESIS OUTPERFORMED GOOGLE SCHOLAR BY 50% JUST SHIPPED GRAPHIFY: ONE COMMAND TURNS ANY FOLDER INTO A CLAUDE CODE SECOND BRAIN Safi Shamsi built Graphify 48 hours after Karpathy posted his LLM wiki idea. It turns any folder, codebase, docs, PDFs, into a knowledge graph Claude reads instead of grepping. Up to 43x fewer tokens per query. The trick almost nobody is using yet: one flag exports the entire graph as a fully-linked Obsidian vault. Repo: /safishamsi/graphify Setup, end to end: 1. Install: uv tool install graphifyy (or pipx install graphifyy). Verify with graphify --version. 2. Install the skill in Claude Code: graphify claude install. This wires Graphify into Claude Code so you can call it as a skill. 3. Open the folder you want mapped in Claude Code. In the terminal: graphify . It extracts every concept and builds the graph in graphify-out/. 4. Export to Obsidian: graphify . --obsidian. Writes one note per concept, every relationship as a wikilink, every node linked back to its source. 5. Open the new vault in Obsidian (Manage vaults → Open folder as a vault), or drag it as a subfolder into your existing one. That's it. Your Claude Code instance now has a navigable map of the codebase that loads instantly instead of re-reading files every session. Full step-by-step build of the Claude + Obsidian second brain in the article below. Bookmark this
16:36

A 26-YEAR-OLD AI ENGINEER WHOSE BIRMINGHAM THESIS OUTPERFORMED GOOGLE SCHOLAR BY 50% JUST SHIPPED GRAPHIFY: ONE COMMAND TURNS ANY FOLDER INTO A CLAUDE CODE SECOND BRAIN Safi Shamsi built Graphify 48 hours after Karpathy posted his LLM wiki idea. It turns any folder, codebase, docs, PDFs, into a knowledge graph Claude reads instead of grepping. Up to 43x fewer tokens per query. The trick almost nobody is using yet: one flag exports the entire graph as a fully-linked Obsidian vault. Repo: /safishamsi/graphify Setup, end to end: 1. Install: uv tool install graphifyy (or pipx install graphifyy). Verify with graphify --version. 2. Install the skill in Claude Code: graphify claude install. This wires Graphify into Claude Code so you can call it as a skill. 3. Open the folder you want mapped in Claude Code. In the terminal: graphify . It extracts every concept and builds the graph in graphify-out/. 4. Export to Obsidian: graphify . --obsidian. Writes one note per concept, every relationship as a wikilink, every node linked back to its source. 5. Open the new vault in Obsidian (Manage vaults → Open folder as a vault), or drag it as a subfolder into your existing one. That's it. Your Claude Code instance now has a navigable map of the codebase that loads instantly instead of re-reading files every session. Full step-by-step build of the Claude + Obsidian second brain in the article below. Bookmark this

Yarchi

141,580 views • 2 months ago

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.
14:34

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Shadow Nick

47,058 views • 2 months ago

Andrej Karpathy, founding member of OpenAI and ex-Director of AI at Tesla: "creators are paying $5,000 a month to agencies to build the exact AI 'content factory' this free talk hands you in 39 minutes." this free 2025 talk holds the entire "$1M YouTube on autopilot" the 2026 threads sell you for $500. karpathy explains the whole thing on stage: the model is the new computer, your only job is to feed it memory and verify what it gives back. that's the "second brain." that's it. the gurus wrap it in obsidian folders, a /wiki command and a "secret stack." karpathy handed you the actual idea for zero dollars -> dump raw sources in one place, let the model synthesize and maintain an interlinked wiki it can actually use. raw → synthesis → reuse. the architecture's been public the whole time. and here's the part the thread skips. he calls these models "people spirits" -> fallible, confidently wrong, output you check, not trust. the moat was never the obsidian setup. the moat is what you feed it and the judgment to catch where it's lying. the folder structure is free. the taste isn't. bookmark & watch today ↓
39:12

Andrej Karpathy, founding member of OpenAI and ex-Director of AI at Tesla: "creators are paying $5,000 a month to agencies to build the exact AI 'content factory' this free talk hands you in 39 minutes." this free 2025 talk holds the entire "$1M YouTube on autopilot" the 2026 threads sell you for $500. karpathy explains the whole thing on stage: the model is the new computer, your only job is to feed it memory and verify what it gives back. that's the "second brain." that's it. the gurus wrap it in obsidian folders, a /wiki command and a "secret stack." karpathy handed you the actual idea for zero dollars -> dump raw sources in one place, let the model synthesize and maintain an interlinked wiki it can actually use. raw → synthesis → reuse. the architecture's been public the whole time. and here's the part the thread skips. he calls these models "people spirits" -> fallible, confidently wrong, output you check, not trust. the moat was never the obsidian setup. the moat is what you feed it and the judgment to catch where it's lying. the folder structure is free. the taste isn't. bookmark & watch today ↓

Ridark

48,183 views • 2 months ago

Still baffled as to why people are sleeping on this. Implementing this strategy is what allowed me to bump my monthly earnings to $13,000 a year ago A simple concept shared by OpenAI co-founder Andrej Karpathy recently exploded to 21 million views. Stop treating AI as just a coding tool and start using it to construct your personal second brain The workflow is seamless. Direct Claude Code to a designated directory, drop in any raw material like a PDF, transcript, or article, and let Claude parse, connect, and integrate it into a dynamic personal wiki. It compounds over time, meaning the system grows sharper the more information you feed it The quick setup guide: Download Obsidian, spin up a new vault, and open it up in Claude Code Feed Claude the document outlining Karpathy's wiki framework and tell it to initialize the system The AI will automatically structure three core folders: raw for source uploads, wiki for your interconnected pages, and CLAUDE to manage the engine Drop new materials into raw and give the command: "ingest this" Search and query your entire accumulated database whenever you want Total setup time is about five minutes, and you will never stare at an empty prompt window again The full walkthrough is linked below. Hit bookmark so you don't lose it
0:24

Still baffled as to why people are sleeping on this. Implementing this strategy is what allowed me to bump my monthly earnings to $13,000 a year ago A simple concept shared by OpenAI co-founder Andrej Karpathy recently exploded to 21 million views. Stop treating AI as just a coding tool and start using it to construct your personal second brain The workflow is seamless. Direct Claude Code to a designated directory, drop in any raw material like a PDF, transcript, or article, and let Claude parse, connect, and integrate it into a dynamic personal wiki. It compounds over time, meaning the system grows sharper the more information you feed it The quick setup guide: Download Obsidian, spin up a new vault, and open it up in Claude Code Feed Claude the document outlining Karpathy's wiki framework and tell it to initialize the system The AI will automatically structure three core folders: raw for source uploads, wiki for your interconnected pages, and CLAUDE to manage the engine Drop new materials into raw and give the command: "ingest this" Search and query your entire accumulated database whenever you want Total setup time is about five minutes, and you will never stare at an empty prompt window again The full walkthrough is linked below. Hit bookmark so you don't lose it

Bober_smart

23,803 views • 16 days ago

🚨 THIS 100% FREE GITHUB REPO JUST MADE EVERY AI NOTE-TAKING APP POINTLESS. Drop any source in article, PDF, YouTube transcript, or Journal entry. Claude reads it, links it to everything in your vault, and files it into a connected knowledge graph on your own machine. Most tools save your notes. This one connects them. Every source gets linked to everything you already know. Karpathy described the idea - 15 skills. Four vault methods. Works with Claude Code, Codex, and Gemini. Most people have years of knowledge buried in folders they open twice a year. This turns all of it into a second brain that works while you sleep. MY ARTICLE COVERS THE EXACT METHOD I BUILT TO DO THE SAME THING. Guide below!
0:23

🚨 THIS 100% FREE GITHUB REPO JUST MADE EVERY AI NOTE-TAKING APP POINTLESS. Drop any source in article, PDF, YouTube transcript, or Journal entry. Claude reads it, links it to everything in your vault, and files it into a connected knowledge graph on your own machine. Most tools save your notes. This one connects them. Every source gets linked to everything you already know. Karpathy described the idea - 15 skills. Four vault methods. Works with Claude Code, Codex, and Gemini. Most people have years of knowledge buried in folders they open twice a year. This turns all of it into a second brain that works while you sleep. MY ARTICLE COVERS THE EXACT METHOD I BUILT TO DO THE SAME THING. Guide below!

Kanika

38,795 views • 1 month ago

Most people use Claude Code like a chatbot, then wonder why it forgets everything by Tuesday. The ones quietly building $10K AI workflows give it a second brain instead, and it’s free. It’s called Obsidian. You download it, point it at one folder on your computer, and that folder becomes a vault. Every note inside it is now something Claude Code can read end to end. Open Claude in that folder and it’s connected, that simple. The trick isn’t the tool, it’s the map. 3 folders, that’s the whole system. Raw, you dump everything here. Notes, transcripts, screenshots, half thoughts, zero structure. Wiki, Claude reads the raw pile and writes clean Wikipedia style articles about it, structured, searchable, permanent. Output, when you want a deliverable, a PDF, a slide deck, a script, it pulls from the wiki and ships it. Most people skip the wiki layer and feed Claude a junk drawer of 400 files, then blame the model when the answers are garbage. The model isn’t the problem, your folder is. Give it a path it can follow and it finds anything in 1 second, give it chaos and it guesses. You don’t even have to design the structure yourself. Open the vault, tell Claude to build a file system that fits your work, and watch it organize your entire brain in one prompt. Free tool, 3 folders, a second brain that compounds while you sleep. The people falling behind are still copy pasting into a chat window.
1:57

Most people use Claude Code like a chatbot, then wonder why it forgets everything by Tuesday. The ones quietly building $10K AI workflows give it a second brain instead, and it’s free. It’s called Obsidian. You download it, point it at one folder on your computer, and that folder becomes a vault. Every note inside it is now something Claude Code can read end to end. Open Claude in that folder and it’s connected, that simple. The trick isn’t the tool, it’s the map. 3 folders, that’s the whole system. Raw, you dump everything here. Notes, transcripts, screenshots, half thoughts, zero structure. Wiki, Claude reads the raw pile and writes clean Wikipedia style articles about it, structured, searchable, permanent. Output, when you want a deliverable, a PDF, a slide deck, a script, it pulls from the wiki and ships it. Most people skip the wiki layer and feed Claude a junk drawer of 400 files, then blame the model when the answers are garbage. The model isn’t the problem, your folder is. Give it a path it can follow and it finds anything in 1 second, give it chaos and it guesses. You don’t even have to design the structure yourself. Open the vault, tell Claude to build a file system that fits your work, and watch it organize your entire brain in one prompt. Free tool, 3 folders, a second brain that compounds while you sleep. The people falling behind are still copy pasting into a chat window.

West Lord

32,845 views • 2 months ago

HERMES AGENT SHIPS WITH A BUNDLED SKILL FOR ANDREJ KARPATHY'S LLM WIKI PATTERN. A SELF-IMPROVING KNOWLEDGE BASE THAT GROWS EVERY TIME YOU FEED IT. mentioned this briefly in the overnight workflow article. here is the full breakdown. what it is: a self-improving knowledge base built as interlinked markdown files. unlike RAG (which rediscovers knowledge from scratch every query), the wiki compiles knowledge once and keeps it current. cross-references stay linked. contradictions get flagged automatically. synthesis reflects everything ingested so far. why this matters for Hermes memory: Hermes built-in memory knows YOU. it remembers your conversations, your preferences, your business context across sessions. but it doesn't know your inbox. or your meeting transcripts. or that article you saved last week. or the expert framework you want it to learn. the LLM Wiki solves that. THE DIVISION OF LABOR human curates sources and directs analysis. agent summarizes, cross-references, files, and maintains consistency. you drop in articles, transcripts, notes. Hermes indexes them, links related concepts, flags contradictions, updates affected pages. your knowledge base grows itself. SETUP IS ONE COMMAND the skill ships with Hermes. enable it. set WIKI_PATH in ~/.hermes/.env: WIKI_PATH=/Users/you/wiki defaults to ~/wiki if unset. then drop anything into it: "index this article into my wiki: [paste URL or text]" Hermes reads it, builds a source page, updates related entries, flags contradictions. THE OBSIDIAN ANGLE set OBSIDIAN_VAULT_PATH to the same directory. now your wiki is visible in Obsidian's graph view. nodes, links, backlinks. all built by Hermes. for headless servers: install obsidian-headless. syncs vaults without a GUI. agent writes from the server, you read on your laptop. THE COMPOUND EFFECT Hermes knows you. the wiki knows your world. combine them and the agent answers questions using BOTH contexts at once. month 1: you explain things twice. month 3: the agent references the wiki on its own. answers get sharper because the knowledge base got sharper. AUTOMATIONS THAT FEED THE WIKI set cron jobs to ingest automatically: "every day at 9am, check Granola for new meetings. add any new transcripts to my wiki under meeting notes." "every morning, scan my Gmail starred items. add anything worth keeping to the wiki." "every week, check arXiv for new papers in [your niche]. summarize and file." your wiki grows while you sleep. Hermes never forgets what gets indexed. THE LIMITATION TO KNOW unlike Hermes memory (which is conversational and lives across sessions), the wiki is a separate knowledge layer. Hermes won't pull from the wiki automatically unless you reference it or save it as a skill. best setup: build an LLM Wiki personality that tells Hermes to consult the wiki when answering strategy questions or domain-specific queries. full HERMES AGENT OVERNIGHT WORKFLOW👇
14:28

HERMES AGENT SHIPS WITH A BUNDLED SKILL FOR ANDREJ KARPATHY'S LLM WIKI PATTERN. A SELF-IMPROVING KNOWLEDGE BASE THAT GROWS EVERY TIME YOU FEED IT. mentioned this briefly in the overnight workflow article. here is the full breakdown. what it is: a self-improving knowledge base built as interlinked markdown files. unlike RAG (which rediscovers knowledge from scratch every query), the wiki compiles knowledge once and keeps it current. cross-references stay linked. contradictions get flagged automatically. synthesis reflects everything ingested so far. why this matters for Hermes memory: Hermes built-in memory knows YOU. it remembers your conversations, your preferences, your business context across sessions. but it doesn't know your inbox. or your meeting transcripts. or that article you saved last week. or the expert framework you want it to learn. the LLM Wiki solves that. THE DIVISION OF LABOR human curates sources and directs analysis. agent summarizes, cross-references, files, and maintains consistency. you drop in articles, transcripts, notes. Hermes indexes them, links related concepts, flags contradictions, updates affected pages. your knowledge base grows itself. SETUP IS ONE COMMAND the skill ships with Hermes. enable it. set WIKI_PATH in ~/.hermes/.env: WIKI_PATH=/Users/you/wiki defaults to ~/wiki if unset. then drop anything into it: "index this article into my wiki: [paste URL or text]" Hermes reads it, builds a source page, updates related entries, flags contradictions. THE OBSIDIAN ANGLE set OBSIDIAN_VAULT_PATH to the same directory. now your wiki is visible in Obsidian's graph view. nodes, links, backlinks. all built by Hermes. for headless servers: install obsidian-headless. syncs vaults without a GUI. agent writes from the server, you read on your laptop. THE COMPOUND EFFECT Hermes knows you. the wiki knows your world. combine them and the agent answers questions using BOTH contexts at once. month 1: you explain things twice. month 3: the agent references the wiki on its own. answers get sharper because the knowledge base got sharper. AUTOMATIONS THAT FEED THE WIKI set cron jobs to ingest automatically: "every day at 9am, check Granola for new meetings. add any new transcripts to my wiki under meeting notes." "every morning, scan my Gmail starred items. add anything worth keeping to the wiki." "every week, check arXiv for new papers in [your niche]. summarize and file." your wiki grows while you sleep. Hermes never forgets what gets indexed. THE LIMITATION TO KNOW unlike Hermes memory (which is conversational and lives across sessions), the wiki is a separate knowledge layer. Hermes won't pull from the wiki automatically unless you reference it or save it as a skill. best setup: build an LLM Wiki personality that tells Hermes to consult the wiki when answering strategy questions or domain-specific queries. full HERMES AGENT OVERNIGHT WORKFLOW👇

YanXbt

30,804 views • 3 months ago

Andrej Karpathy keeps his entire second brain in Obsidian 1 folder of plain text files, nothing else. Here’s the exact setup, free, that turns 1 vault into a brain you can actually query. Why most “second brains” die: Notion is a database you forget to open, ChatGPT memory wipes itself after 30 messages, and both lock your notes inside their cloud. Karpathy rule is the opposite: your notes are the 1 dataset nobody else on earth has, so keep them in plain markdown, own them forever, and let the AI read them later. 3 phases. Phase 1 — Capture with 0 friction. Install Obsidian free, local, 1 hotkey to a daily note. Dump everything into it: ideas, links, quotes, 2-line thoughts, no folders, no tags, no system. Target is 5 notes a day. Phase 2 — Let the graph connect itself. Install Smart Connections and it runs embeddings on every note you’ve ever written, so 2 notes you wrote 4 months apart and never linked by hand suddenly surface as neighbors. That’s the fireworks in the 3D graph each burst is a cluster of ideas your brain forgot it owned. Phase 3 — Query your brain. Point Claude at the vault and ask: “What did I actually think about X across all my notes?” It answers from 1,200 of your own notes, not the internet your taste, your edge, your dataset. The realistic curve looks like this: Week 1 — 40 notes, graph looks empty, feels like a waste. Month 1 — 300 notes, first real cluster forms. Month 3 — 1,200 notes, and the embeddings start surfacing links you’d long forgotten. Month 6 — you stop googling your own past ideas and just ask the vault. Before — 9 tabs, 3 note apps, 0 memory. After — 1 folder, 1,200 notes, 1 brain that compounds. The gap between people who consume and people who compound isn’t talent, it’s architecture. You build your own life so choose the right path.
0:31

Andrej Karpathy keeps his entire second brain in Obsidian 1 folder of plain text files, nothing else. Here’s the exact setup, free, that turns 1 vault into a brain you can actually query. Why most “second brains” die: Notion is a database you forget to open, ChatGPT memory wipes itself after 30 messages, and both lock your notes inside their cloud. Karpathy rule is the opposite: your notes are the 1 dataset nobody else on earth has, so keep them in plain markdown, own them forever, and let the AI read them later. 3 phases. Phase 1 — Capture with 0 friction. Install Obsidian free, local, 1 hotkey to a daily note. Dump everything into it: ideas, links, quotes, 2-line thoughts, no folders, no tags, no system. Target is 5 notes a day. Phase 2 — Let the graph connect itself. Install Smart Connections and it runs embeddings on every note you’ve ever written, so 2 notes you wrote 4 months apart and never linked by hand suddenly surface as neighbors. That’s the fireworks in the 3D graph each burst is a cluster of ideas your brain forgot it owned. Phase 3 — Query your brain. Point Claude at the vault and ask: “What did I actually think about X across all my notes?” It answers from 1,200 of your own notes, not the internet your taste, your edge, your dataset. The realistic curve looks like this: Week 1 — 40 notes, graph looks empty, feels like a waste. Month 1 — 300 notes, first real cluster forms. Month 3 — 1,200 notes, and the embeddings start surfacing links you’d long forgotten. Month 6 — you stop googling your own past ideas and just ask the vault. Before — 9 tabs, 3 note apps, 0 memory. After — 1 folder, 1,200 notes, 1 brain that compounds. The gap between people who consume and people who compound isn’t talent, it’s architecture. You build your own life so choose the right path.

Spike 1%

16,390 views • 2 months ago

Andrej Karpathy quietly shipped the best second brain idea in years not an app. a pattern. let an llm maintain a wiki of your notes. you dump sources, it reads them, links them, files them. knowledge compounds like interest. someone built it into a free claude code plugin. setup is two commands: claude plugin marketplace add AgriciDaniel/claude-obsidian claude plugin install claude-obsidian@agricidaniel-claude-obsidian then open obsidian, open claude code in the same folder, type /wiki. that's it. your notes are now queryable by claude and they get richer every time you read something. bookmark this. best thing you'll build this weekend.
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Andrej Karpathy quietly shipped the best second brain idea in years not an app. a pattern. let an llm maintain a wiki of your notes. you dump sources, it reads them, links them, files them. knowledge compounds like interest. someone built it into a free claude code plugin. setup is two commands: claude plugin marketplace add AgriciDaniel/claude-obsidian claude plugin install claude-obsidian@agricidaniel-claude-obsidian then open obsidian, open claude code in the same folder, type /wiki. that's it. your notes are now queryable by claude and they get richer every time you read something. bookmark this. best thing you'll build this weekend.

Avid

339,134 views • 3 months ago

I just built a Claude skill that acts as a second brain for DTC brands 🤯 Drop your ad exports, customer reviews, competitor screenshots, and brand docs into a folder → Claude compiles it all into an organized wiki you can ask questions against. All inside Claude Cowork. Perfect for DTC brands and agencies whose knowledge is scattered across Google Drive, Notion, Meta Ads Manager, Figma, and 47 spreadsheets nobody has opened in 3 months. If every strategic question takes 2 hours to answer because the data lives in 8 different places ... This skill eliminates the entire loop: → Claude scaffolds a DTC folder structure: ads, customers, competitors, brand, performance, notes → You drop every file you have into those folders — messy, unorganized, exactly how you have them now → Claude reads everything and compiles a wiki: hooks-that-work, customer-pains, competitor-angles, brand-voice, performance-patterns, creative-brief-library → Every article is cross-linked and traceable back to the source file → You ask questions against the wiki — "what hooks are actually working?" "what objections come up most?" "where are my competitors weak?" → Claude answers, grounded entirely in your own data → Save the answers back in and the system gets smarter every time you use it No more hunting through 12 tools. No more "where did I save that brief?" No more answering the same question twice. What you get: → A complete DTC brand brain scaffold in 60 seconds → Six core wiki articles Claude populates automatically from your raw files → A schema file that tells Claude exactly how to maintain the wiki for DTC use cases → Monthly health checks that catch contradictions and flag gaps before errors compound → A knowledge base that compounds — every question you ask makes the next answer better Built on a methodology Andrej Karpathy shared for personal knowledge bases, I rebuilt the entire thing for DTC operators: folder structure, schema rules, wiki articles, and question frameworks all tuned for brands and agencies. I put together the full skill file plus a playbook walking through the exact setup and 5 real questions to ask your brand brain. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)
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I just built a Claude skill that acts as a second brain for DTC brands 🤯 Drop your ad exports, customer reviews, competitor screenshots, and brand docs into a folder → Claude compiles it all into an organized wiki you can ask questions against. All inside Claude Cowork. Perfect for DTC brands and agencies whose knowledge is scattered across Google Drive, Notion, Meta Ads Manager, Figma, and 47 spreadsheets nobody has opened in 3 months. If every strategic question takes 2 hours to answer because the data lives in 8 different places ... This skill eliminates the entire loop: → Claude scaffolds a DTC folder structure: ads, customers, competitors, brand, performance, notes → You drop every file you have into those folders — messy, unorganized, exactly how you have them now → Claude reads everything and compiles a wiki: hooks-that-work, customer-pains, competitor-angles, brand-voice, performance-patterns, creative-brief-library → Every article is cross-linked and traceable back to the source file → You ask questions against the wiki — "what hooks are actually working?" "what objections come up most?" "where are my competitors weak?" → Claude answers, grounded entirely in your own data → Save the answers back in and the system gets smarter every time you use it No more hunting through 12 tools. No more "where did I save that brief?" No more answering the same question twice. What you get: → A complete DTC brand brain scaffold in 60 seconds → Six core wiki articles Claude populates automatically from your raw files → A schema file that tells Claude exactly how to maintain the wiki for DTC use cases → Monthly health checks that catch contradictions and flag gaps before errors compound → A knowledge base that compounds — every question you ask makes the next answer better Built on a methodology Andrej Karpathy shared for personal knowledge bases, I rebuilt the entire thing for DTC operators: folder structure, schema rules, wiki articles, and question frameworks all tuned for brands and agencies. I put together the full skill file plus a playbook walking through the exact setup and 5 real questions to ask your brand brain. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)

Mike Futia

15,243 views • 5 months ago

This beginner guide to Karpathy's LLM Wiki is one of the most useful AI videos i've shared this year Karpathy's idea: instead of asking AI questions every time, make it build you a permanent knowledge base that grows smarter over time > drop your documents into a folder > Claude reads them and builds a structured wiki in Obsidian > every time you add a new source, Claude Sonnet updates existing pages and links new ideas > ask complex questions - Claude Opus answers from the organized wiki, not raw files it's like having a researcher who never forgets and connects dots across everything you've ever given it full setup guide is in the video above
14:21

This beginner guide to Karpathy's LLM Wiki is one of the most useful AI videos i've shared this year Karpathy's idea: instead of asking AI questions every time, make it build you a permanent knowledge base that grows smarter over time > drop your documents into a folder > Claude reads them and builds a structured wiki in Obsidian > every time you add a new source, Claude Sonnet updates existing pages and links new ideas > ask complex questions - Claude Opus answers from the organized wiki, not raw files it's like having a researcher who never forgets and connects dots across everything you've ever given it full setup guide is in the video above

Mr. Buzzoni

58,787 views • 4 months ago

Karpathy gave 100,000 people the LLM Wiki idea. 1 guy actually built it into a Claude + Obsidian brain that never forgets you. Every AI tool forgets you the second you close the tab. ChatGPT, Claude, Codex. All gone. He killed that. A shared memory layer your AI builds and maintains on its own. 3 layers. Raw, Wiki, Schema. You drop a source, Claude reads it, pulls the concepts, links them, cites the original, never touches your raw notes. Scales to 1,000s of notes without breaking. Then it goes deeper. An agentic firewall locks agents out of your other vaults. A local model running free and private, zero cloud. 2 videos walk through it all. 1 on why. 1 on the build, start to finish. Most people will keep pasting the same context into 6 tabs for the next 3 years. Build it once. Never explain yourself to a model again.
34:07

Karpathy gave 100,000 people the LLM Wiki idea. 1 guy actually built it into a Claude + Obsidian brain that never forgets you. Every AI tool forgets you the second you close the tab. ChatGPT, Claude, Codex. All gone. He killed that. A shared memory layer your AI builds and maintains on its own. 3 layers. Raw, Wiki, Schema. You drop a source, Claude reads it, pulls the concepts, links them, cites the original, never touches your raw notes. Scales to 1,000s of notes without breaking. Then it goes deeper. An agentic firewall locks agents out of your other vaults. A local model running free and private, zero cloud. 2 videos walk through it all. 1 on why. 1 on the build, start to finish. Most people will keep pasting the same context into 6 tabs for the next 3 years. Build it once. Never explain yourself to a model again.

West Lord

75,208 views • 2 months ago

i keep telling people to build this and they nod politely and never do it... andrej karpathy posted how to fix this a while ago, and everyone just keeps working the old way the dumb thing is this... you pay to teach claude the same lessons over and over, every chat is a fresh amnesia patient, every contradiction it catches evaporates the second you close the tab, and you accept this like it's just how ai works 1. one folder is a graveyard for originals that nobody edits, another folder is claude's active memory that only claude writes to, a third folder is a two-page rulebook that keeps claude from confusing them 2. a raw file gets read the day it arrives and then it's done, claude never touches it again, everything it needed is already extracted into wiki pages with the source cited right there 3. every time claude notices your new answer clashes with your old one, it doesn't pick a side, it writes both with dates, and from then on it treats you like someone who might be wrong the raw folder is a museum... the wiki is the actual working brain full breakdown is in the article below
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i keep telling people to build this and they nod politely and never do it... andrej karpathy posted how to fix this a while ago, and everyone just keeps working the old way the dumb thing is this... you pay to teach claude the same lessons over and over, every chat is a fresh amnesia patient, every contradiction it catches evaporates the second you close the tab, and you accept this like it's just how ai works 1. one folder is a graveyard for originals that nobody edits, another folder is claude's active memory that only claude writes to, a third folder is a two-page rulebook that keeps claude from confusing them 2. a raw file gets read the day it arrives and then it's done, claude never touches it again, everything it needed is already extracted into wiki pages with the source cited right there 3. every time claude notices your new answer clashes with your old one, it doesn't pick a side, it writes both with dates, and from then on it treats you like someone who might be wrong the raw folder is a museum... the wiki is the actual working brain full breakdown is in the article below

kai

32,120 views • 1 month ago

PSYCHO CREATED A GOD-MODE SECOND BRAIN ON FABLE 5 THAT FILLS ITS OWN KNOWLEDGE GAPS WHILE YOU SLEEP. KARPATHY'S FILE STRUCTURE MAKES IT POSSIBLE. Everyone wires Claude into Obsidian, posts the graph, and stops. this guy added a third system and it quietly changes the whole game: The full build is in the article below: vault structure, the Claude wiring, the exact prompts, the skills. > Obsidian as the knowledge base, but any notes app works as long as Claude Code can see the files > Karpathy's LLM Wiki doc as the skeleton, so the vault is organized the way a model actually reads, not the way humans decorate folders > a self-learning skill on a weekly loop: scans the entire brain, finds the gaps, then researches YouTube and Google by itself to fill them Read the third one again, actually your notes only ever contain what you happened to write down, and the gap-finder breaks that ceiling: the brain starts knowing things you never told it. Most second brains know what you told them. a real one notices what you didn't. that's the difference between note-taking and compounding. one sits there. the other gets smarter every week whether you showed up or not. P.S. send the article straight to your Claude, tell it to interview you, and the brain starts filling itself tonight.
1:05

PSYCHO CREATED A GOD-MODE SECOND BRAIN ON FABLE 5 THAT FILLS ITS OWN KNOWLEDGE GAPS WHILE YOU SLEEP. KARPATHY'S FILE STRUCTURE MAKES IT POSSIBLE. Everyone wires Claude into Obsidian, posts the graph, and stops. this guy added a third system and it quietly changes the whole game: The full build is in the article below: vault structure, the Claude wiring, the exact prompts, the skills. > Obsidian as the knowledge base, but any notes app works as long as Claude Code can see the files > Karpathy's LLM Wiki doc as the skeleton, so the vault is organized the way a model actually reads, not the way humans decorate folders > a self-learning skill on a weekly loop: scans the entire brain, finds the gaps, then researches YouTube and Google by itself to fill them Read the third one again, actually your notes only ever contain what you happened to write down, and the gap-finder breaks that ceiling: the brain starts knowing things you never told it. Most second brains know what you told them. a real one notices what you didn't. that's the difference between note-taking and compounding. one sits there. the other gets smarter every week whether you showed up or not. P.S. send the article straight to your Claude, tell it to interview you, and the brain starts filling itself tonight.

Miraqle

41,307 views • 2 months ago

i genuinely can't understand why this isn't the first thing every claude user builds... andrej karpathy, co-founder of openai, quietly solved the exact problem making your ai useless and almost nobody noticed here's the problem he solved... every session claude starts from zero, rereads the same files, forgets every contradiction it already caught, burns tokens relearning what it knew yesterday, forever 1. raw holds the truth once, wiki holds the compiled answer forever, instructions hold the one rule that stops it from ever getting messy again 2. claude opens a raw file exactly one time in its entire life, after that it only speaks in wiki pages with the sources already cited 3. the moment claude catches you contradicting yourself, it writes both versions into the wiki with dates, so it never asks you the same wrong question twice your raw files are disposable... the compiled wiki is the only thing that actually compounds full breakdown is in the article below
0:40

i genuinely can't understand why this isn't the first thing every claude user builds... andrej karpathy, co-founder of openai, quietly solved the exact problem making your ai useless and almost nobody noticed here's the problem he solved... every session claude starts from zero, rereads the same files, forgets every contradiction it already caught, burns tokens relearning what it knew yesterday, forever 1. raw holds the truth once, wiki holds the compiled answer forever, instructions hold the one rule that stops it from ever getting messy again 2. claude opens a raw file exactly one time in its entire life, after that it only speaks in wiki pages with the sources already cited 3. the moment claude catches you contradicting yourself, it writes both versions into the wiki with dates, so it never asks you the same wrong question twice your raw files are disposable... the compiled wiki is the only thing that actually compounds full breakdown is in the article below

kai

377,612 views • 1 month ago