HERMES AGENT HAS A SECOND BRAIN. 1,100+ KNOWLEDGE FILES.... AUTO-LINKED. SELF-IMPROVING. GROWING EVERY NIGHT. THIS IS THE OBSIDIAN GRAPH BEHIND IT. every dot = one knowledge file (markdown) every line = one wiki-link between files every color = one category (skills, notes, decisions, sources, entities) HOW IT BUILDS ITSELF: Hermes ships with a bundled LLM Wiki skill. based on Andrej Karpathy's pattern. unlike RAG (rediscovers knowledge from scratch every query), the wiki compiles knowledge once and keeps it current. when you feed the agent a source: → it reads the content → writes a structured markdown page → auto-links to every related existing page → flags contradictions with previous entries → updates all affected pages one source in. multiple connections created. the graph grows denser with every entry. WHAT FEEDS THE WIKI: → articles and URLs you find interesting → meeting transcripts → PDF documents and research papers → conversation history from Hermes sessions → Claude Code and Codex session history → Slack logs, email threads, saved notes → YouTube transcripts → raw text dropped into a _raw/ folder the obsidian-wiki package supports multi-agent ingest from Hermes, Claude Code, Codex, OpenClaw, Pi, Windsurf, and ChatGPT exports. install: pip install obsidian-wiki obsidian-wiki setup --vault ~/wiki AUTOMATE THE GROWTH: set cron jobs to feed the wiki overnight: "every day at 9am, check for new meetings. ingest transcripts into the wiki." "every week, check arXiv for new papers in [niche]. summarize and file into the wiki." "every day, ingest today's Hermes sessions into the wiki under session-history." month 1: 50 entries. scattered. month 3: 300+ entries. cross-referenced. month 6: 1,000+ entries. the agent surfaces patterns you never searched for. WHY OBSIDIAN: the wiki is plain markdown files. no database. no lock-in. open it in Obsidian for graph view: → nodes show knowledge density → links show how ideas connect → clusters reveal your strongest domains → orphan nodes reveal gaps Hermes writes from a VPS. Obsidian reads on your laptop. obsidian-headless syncs without a GUI. agent writes from the server, you browse on your device. FOUR MEMORY LAYERS: Layer 1: memory.md + user.md (~2,200 + 1,375 chars. short-term.) Layer 2: SQLite with FTS5 (full session transcripts. searchable.) Layer 3: external providers (Mem0, SuperMemory, Honcho. optional.) Layer 4: Obsidian wiki via LLM Wiki skill (unlimited. compounding. the long-term brain.) layers 1-3 handle memory. layer 4 handles knowledge. the graph in this post is layer 4. SETUP: set in Desktop app, Dashboard, or config.yaml: WIKI_PATH=~/wiki OBSIDIAN_VAULT_PATH=~/wiki first run: Hermes asks for your domain. answer with your niche. the skill builds SCHEMA.md with tag taxonomy. after that: "index this into my wiki: [URL or text]" the wiki grows. the graph densifies. the agent gets smarter because the knowledge base got smarter. full 15 levels breakdown in the article 👇show more

STOP STORING NOTES. START COMPILING THEM. a pile of... notes isn't memory. it's accumulation wearing memory's clothes. these 7 repos build the other kind, where Claude reads a source once and links it to everything you already have. copy the list: graphify: turns a codebase with its docs, SQL schemas, configs and PDFs into a queryable knowledge graph. 127k stars Understand-Anything: maps a project's code, docs or wiki into a graph you can search and query from your coding assistant. 86k stars claude-obsidian: lets Claude Code build and maintain a Markdown knowledge base in Obsidian, with source-backed notes and grounded answers. 15k stars obsidian-second-brain: gives Claude Code long-term memory as plain markdown notes in an Obsidian vault. 4.8k stars claude-code-memory-setup: an Obsidian vault as persistent memory, graphs for your codebase, and a pipeline that saves insights from your chats. 1k stars second-brain: an Obsidian knowledge base the LLM maintains, built on Karpathy's LLM Wiki pattern. 727 stars llm-wikid: an agent compiles your raw sources into cross-linked wiki pages in Obsidian. 420 stars none of them is your second brain. they're the compiler. the brain is what you feed it pick one and feed it your first 50 sources. before that, a compiled wiki behaves like a plain search engine, so don't quit early. the full setup is in the articleshow more

Karpathy LLM Wiki builds 56 linked pages in one... hour with Obsidian and Claude, while NotebookLM forgets everything. NotebookLM, ChatGPT uploads and every RAG tool share the same flaw. You ask a question, it re-reads your raw files, answers, then forgets. Tomorrow it starts from zero and nothing accumulates. Karpathy flipped it. Instead of reading raw docs on every query, Claude compiles them once into linked markdown pages where concepts are defined, sources traced and everything cross-linked. Obsidian is the IDE, Claude is the programmer, the wiki is the codebase. One writer loaded every essay he'd ever published and had 56 interconnected pages within an hour. Now it's the base he drafts from. NotebookLM rediscovers your knowledge on every question. The wiki remembers.show more

This is f*cking insane. OpenAI engineers don’t re-explain themselves... to the same chat every time, because they build a system that knows everything about them Andrej Karpathy, co-founder of OpenAI, built exactly that, and the LLM writes the whole thing His reason: “The LLM is rediscovering knowledge from scratch on every question. There’s no accumulation.” Build it tonight: > run brew install --cask obsidian, then mkdir ~/vault, cd ~/vault, mkdir raw wiki and touch CLAUDE.md log.md > put these rules in CLAUDE.md: never edit anything in raw/ every page cites its source and links to 3 existing pages log every change and flag contradictions instead of picking one > open the folder as a vault in Obsidian, then run claude inside it > drop a pdf, article or transcript into raw/ and type: ingest raw/yourfile.pdf, write the wiki page, link it to existing pages and log it > ask your questions with: answer only from wiki/ and cite the pages. when the answer is good, type: file this as a new page > once a week type: lint the wiki, list contradictions, orphan pages and claims with no source, then fix them Bookmark thisshow more

BUILD KARPATHY'S SECOND BRAIN WITH CLAUDE FABLE 5 +... OBSIDIAN Andrej Karpathy (openai co-founder) shared an architecture that turns Claude into a persistent second brain instead of a basic chat window how it works: > you point Claude Code at an Obsidian vault folder > you drop articles, PDFs, or video transcripts into raw folders > Claude reads the files, updates topic summaries, and cross-references everything > the knowledge base compounds like interest instead of resetting on every new chat the setup is simple: > install and create a local vault directory > open the directory in Claude Code and paste Karpathy's wiki prompt: > > let the agent generate raw, wiki, and CLAUDE.md schema directories > drop any text file into raw and tell the model to ingest it > ask questions across the whole vault and query compiled summaries this eliminates rag database overhead and keeps your local vault organized how do you manage your local knowledge base?show more

BUILD KARPATHY'S SECOND BRAIN WITH CLAUDE OPUS 5 +... OBSIDIAN Andrej Karpathy (OpenAI co-founder) shared an architecture that turns Claude into a persistent second brain not just a basic chat window how it works: > point Claude Code at an Obsidian vault folder > drop articles, PDFs, or video transcripts into raw > Claude reads them, updates summaries, cross-references everything > the knowledge base compounds like interest, never resets on a new chat the setup: > install create a local vault folder > open it in Claude Code, paste Karpathy's wiki prompt > > let the agent build raw, wiki, and CLAUDE.md folders > drop any file into raw, tell it to ingest > ask questions, get compiled summaries back this skips rag overhead entirely. your vault stays organized on its own run ingest on a schedule and it's loop engineering: sense a new file, plan, write, verify, repeat how do you manage your local knowledge base?show more

HE BUILT A 100% PRIVATE SECOND BRAIN IN OBSIDIAN... TO AUTOMATE HIS RESEARCH USING HERMES AGENT AND NOTEBOOKLM He visualizes his entire knowledge graph on-premise without paying for cloud subscriptions By connecting Hermes Agent and NotebookLM, developers can index hundreds of documents and generate content locally Four components of this local knowledge architecture: 1. Memory layer - set up an Obsidian PARA vault to store markdown notes and profiles 2. Agent layer - connect Hermes Agent to write files and run background scripts 3. Synthesis layer - use NotebookLM to create structured overviews from raw transcripts 4. Automation layer - trigger cron tasks to synchronize files and calendar standups The setup saves over $4,000 annually while keeping all private files offline Get the full step-by-step configuration guide and setup commands in the article below ↓show more

late to the party but built a UI layer... on top of the wiki my OpenClaw🦞 agent writes and maintains, based on exactly what Andrej Karpathy describes here. obsidian vault underneath, react frontend on top: search, an interactive knowledge graph, topic browsing, article pages with tables of contents + neighborhood mini-graph and many more.show more

I can’t f*cking believe people are still building their... Claude second brain by hand when Obsidian’s own CEO open-sourced the skills and 4 more repos did the rest -> obsidian skills (by kepano) Obsidian’s CEO teaches Claude to use the Obsidian CLI and open formats like Markdown, Bases and JSON Canvas -> obsidian mind (by breferrari) Claude Code starts every session already knowing your goals, projects and what changed last week, with 20 commands and 9 subagents -> obsidian claude pkm (by ballred) links your 3-year goals to today’s tasks, with daily, weekly and monthly reviews as ready-made commands -> obsidian agent vault template (by louisfb01) every skill logs your corrections, and a correction that repeats becomes the new default -> wiki master (by ehartye) Karpathy’s LLM wiki as a plugin, with ingest, query, lint and relink running through Obsidian’s native CLI pick one, clone it tonight and point Claude Code at your vault bookmark it before it gets buriedshow more

I genuinely don't understand why everyone isn't using this... yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: 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, and Claude reads it, links it, and 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: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark thisshow more

grok bot + obsidian is basically superhuman mode... my... agent team now has a second brain... a karpathy-style llm wiki for every bot, every decision, and every piece of research. p.s. this video was made and edited by grok bot in cap (here’s how i set it up in roughly 5 minutes) 1/ create one obsidian vault on the chief of staff’s computer. make Home.md the door. 2/ create Hunt folders for twitter, github, hacker-news, reddit, product-hunt, and inbox. 3/ create Ship folders for drafts, digests, angles, and builds. 4/ create the CoS wiki: Index, How-it-works, Today, and Decisions. 5/ create Maps for Jarvis, Hooks, and TELOS. 6/ use graph colors: gold for wiki, teal for maps, blue for twitter, green for github. 7/ file first. every note gets a date and a folder. 8/ scouts write into Hunt and never ping you. chat only receives a short digest. 9/ nothing in the vault posts, pays, or sends. the final yes stays human. 10/ run the daily loop: 08:00 IST for the Daily note, then agency reports at 08:14, 14:14, and 20:14. 11/ performance writes to twitter/live-score. staff engineer writes to builds/. 12/ lock decisions in Wiki/Decisions so dead posts don’t get remade. 13/ earn hooks in Maps/Hooks: trend -> foil -> hook family -> artifact -> lock. don't waste time reading this. give it to your agentshow more

I still don't understand why everyone is not using... this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets Here is the gist: Install Obsidian, create a vault, open it in Claude Code Paste the file with Karpathy's wiki idea and tell Claude to build it Claude creates three folders: raw for sources, wiki for its pages, CLAUDE which runs everything Drop any source into raw and say "ingest this" Ask questions across everything, forever Five minutes to set up, and you never start with an empty chat again The full step-by-step guide is in the article. Save to bookmarksshow more

LLM Knowledge Base → Slides When Andrej Karpathy shared... his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just built a pipeline that turns my AI papers wiki (1K+ papers across 20 AI agent topics) into polished slide presentations using Gamma. The flow: Obsidian vault → Gamma MCP → embedded preview in my dashboard. I give one command to my agent, which pulls the top papers from each topic (via the wiki), feeds them to Gamma, and renders the presentation inline. The Gamma connector for Claude is a great choice for generating beautiful and professional slides. Easy to use. Go to your Claude instance and add the official Gamma connector. That's it! Claude Code will now have access to all the necessary MCP tools for generating slides. I use the Claude Agent SDK for my agent orchestrator, so I use the official Gamma MCP tools and embed the generated slides in an iframe via my artifact preview. See the clip below for an example.show more

This is the best AI agent-first notes app I've... found. It's called . It has the potential to be a productized version of Karpathy's "LLM Wiki" knowledge bases. Here's what I did: 1. Imported "Learning, Fast and Slow" a Continual Learning paper 2. Asked OpenKnowledge to create a visual explainer 3. Read the explainer and had Claude explain to me 4. Created a new section of my own understanding 5. Saved the durable version in my Obsidian vault because it's markdown Free and open-source. Absolutely incredible learning tool.show more

Make any knowledge base or LLM wiki follow the... Open Knowledge Format with our new OKF plugin. OKF is an open spec created by Google that makes markdown-based knowledge bases portable and interoperable through a set of shared patterns and rules. With the new plugin, you can easily convert any existing knowledge base to OKF, and have agents write and maintain your wiki in the format. The plugin leverages a combination of linting, deterministic rules, and automations for creating special files like 𝚒𝚗𝚍𝚎𝚡.𝚖𝚍. It also adds a skill and leverages our MCP tools to give agents real-time hints and warnings as they write, so issues get caught immediately — plus 𝚊𝚞𝚍𝚒𝚝 and 𝚕𝚒𝚗𝚝 tools to check the entire knowledge base any time.show more

had Nous Research hermes scrape the Plastic Labs discord... server Readwise rss feed for substantive links for a Andrej Karpathy style wikishow more

It’s getting f*cking ridiculous: people are still building their... Claude second brain by hand while Obsidian’s own CEO already open-sourced the shortcut 4 repos that do the setup for you, all checked on GitHub: → obsidian skills by kepano, Obsidian’s CEO. 49.8K stars. teaches Claude how Obsidian actually works → claude obsidian. 15K stars. wiki, ingest, query and lint as ready-made commands → obsidian second brain. 4.8K stars, 48 commands, runs in Claude Code, Codex and Gemini → second brain starter. interviews you and writes a 9-phase build plan for your exact setup half the guides going around still quote old star counts and an install script that doesn’t even exist anymore the full guide is in the article below, install commands included save it so you don’t lose itshow more

It is becoming f*cking dangerous: I don't understand why... everyone still isn't doing this, thanks to this I reached an income of $12,000 as early as 3 months ago Andrej Karpathy, co-founder of OpenAI, shared a straightforward concept that blew up with over 23 million views: stop relying on AI strictly for coding and start using it to construct your own personal knowledge engine Point Claude Code to a folder, toss in raw materials (whether it's an article, a video transcript, or a PDF) and Claude processes everything, links relevant topics together, and organizes it into a self-updating wiki of your personal knowledge. It acts like compound interest: the more information you add, the more capable it becomes Here is the exact breakdown: Set up Obsidian, create a fresh vault, and open it using Claude Code Supply Karpathy's wiki layout prompt and instruct Claude to build the architecture Claude automatically sets up three components: a ⁠raw⁠ directory for source files, a ⁠wiki⁠ directory for processed pages, and a ⁠CLAUDE.md⁠ control file to run the system Dump any document into the ⁠raw⁠ folder and run "ingest this" Query your entire knowledge repository at any time, indefinitely It takes just five minutes to configure, eliminating the need to ever start a conversation with a completely blank context window again Check the link below for the complete step-by-step walkthrough on setting up Claude with Obsidian Bookmark this post for latershow more

every id and ego finally has skill animations up... on the wiki its finally done!show more

YOUR OBSIDIAN VAULT READS ALL 2,000 NOTES TO ANSWER... ONE QUESTION. THAT'S NOT A SECOND BRAIN. That's a hoarder with markdown files. Hundreds of thousands of tokens burned per answer, and it still grabs the wrong note half the time. A real second brain runs on a graph: a router, an index, nodes, edges. Fable 5 reads 2-3 files instead of the whole vault. Answer back in under a second. The graph view everyone screenshots in Obsidian is a poster. The index is the actual engine. Full 11-step build below, from raw vault to working graph 👇show more

It blows my mind how few people have implemented... this setup. A year ago, this exact system allowed me to automate 90% of my tasks and expand my business Andrey Karpathy, co-founder of OpenAI, dropped a simple idea that generated 22 million views and 108,000 saves "stop relying on AI strictly for generating code, and start leveraging it to build a personal second brain" The logic is straightforward: You link Claude Code to a specific directory and throw in any reference materials (articles, meeting transcripts, or PDFs) The system analyzes the text, maps out connections, and constructs a living repository of everything you know. It compounds continuously: as you feed it more data, the entire ecosystem becomes significantly smarter How it breaks down in practice: Launch Obsidian, set up a new repository, and connect it to Claude Code Feed in the template based on Karpathy's wiki approach and instruct Claude to deploy the architecture The model automatically constructs three core areas: raw for your incoming documents, wiki for organized pages, and a master CLAUDE file that coordinates all processes Move any new resource into the raw folder and issue a quick command to process it Query your entire personal knowledge base whenever you need answers A quick five-minute deployment means you will never have to initiate a prompt from a blank canvas again I published the complete guide in the article. Make sure to bookmark it for latershow more