SOMEONE VISUALIZED THEIR SECOND BRAIN AS A COLOR CODED... CLUSTER YOU CAN ROTATE every note sized by weight, activity bleeding through in reds and oranges, months of thinking compressed into one shape you can spin around this article runs a different kind of second brain through the same idea, four agents instead of one static map, each one updating its own cluster every six hours as new notes, chats, and code sessions come in the map isn’t just a snapshot here, it keeps redrawing itself while you sleep full breakdown in the article below👇show more

THIS IS WHAT YOUR SECOND BRAIN SHOULD LOOK LIKE... most people dump notes into obsidian and call it a second brain it’s not a second brain it’s a second drawer karpathy just dropped the pattern that changes this and it’s called the llm wiki every time you add a source ai reads it, extracts key claims, updates every connected note and flags contradictions your obsidian stops being an archive and starts being alive save this and show it to someone still using notion as a second brain full breakdown in the article ↓show more

AN ENGINEER SOLVED A PROBLEM NOBODY IN THE COMPANY... COULD FULLY MAP ON THEIR OWN The problem wasn't a missing tool, it was that every process touched three other processes nobody had written down. He wired dozens of agents into one shared graph instead of documenting each department's workflow by hand. Each agent owned one process, reading its own logs while writing every dependency it found straight into the shared structure. Within days, the graph surfaced a connection between two departments that had been quietly blocking each other for over a year. The company adopted the graph as its live map of operations, and it hasn't stopped finding new connections since. See what the graph found in the first 48 hours below👇show more

- you open Claude Code - fix a bug... - close the terminal - tomorrow, same thing - one prompt, one answer, done - you see someone running 10 agents in parallel shipping code while they sleep - "must be a different tool" - then you come across this article - you weren't even using 10% of it - you copy Shopify's exact config - you set up your first agent team - you go to sleep - 3 PRs are ready by morningshow more

Obsidian plus Vellum = a second brain that never... stops thinking. Works while you sleep. Obsidian holds everything you know. Vellum reasons across it continuously. Every idea connected. Every pattern surfaced. Every insight waiting when you wake up. The people who build this tonight will never go back to thinking alone. Read this and Bookmark it now.show more

Obsidian plus Vellum = a second brain that never... stops thinking. Works while you sleep. Obsidian holds everything you know. Vellum reasons across it continuously. Every idea connected. Every pattern surfaced. Every insight waiting when you wake up. The people who build this tonight will never go back to thinking alone. Read this and Bookmark it now.show more

Obsidian plus Vellum = a second brain that never... stops thinking. Works while you sleep. Obsidian holds everything you know. Vellum reasons across it continuously. Every idea connected. Every pattern surfaced. Every insight waiting when you wake up. The people who build this tonight will never go back to thinking alone. Read this and Bookmark it now.show more

BEFORE: $500 a month across six different tools. Switching... between apps all day. Context scattered everywhere. AFTER: One Obsidian vault. One Claude subscription. Everything in one place. Same capability. Fraction of the cost. Zero app switching. The full setup is in the article below.show more

i don't f*cking understand why this isn't popular yet... someone has created a memory system that uses 90% fewer tokens while still finding all the expected symbols it builds a local graph of source symbols and their relationships. architecture, decisions and handoffs live as Git-tracked Markdown. a note can point to the code behind it, so a code change can flag that knowledge for review the loop: scan the repo → map the code → write the why → anchor notes to symbols → retrieve a task-sized slice → review drift → commit to Git → continue in the next session in the author's small, one-repo test, graph retrieval returned 10.74× less context than grep top-3 while finding every expected symbol across six tasks the useful part is the connection between memory and evidence. the repo carries what the agent learned, and the code gives you a way to check whether that knowledge still holds save this, then build a second brain for your company⭣show more

THIS GUY TURNS NOTES, DOCUMENTS, AND IDEAS INTO AN... AI SECOND BRAIN the system stores all the context of your work and helps claude not forget anything how to build one yourself: install obsidian connect claude code keep your projects, notes, and sessions in one vault link similar ideas together use the graph to discover new connections as a result, claude gets memory of your projects and understands the context without you constantly having to explain everything the more you work, the smarter the system gets don’t collect notes build connections between them insteadshow more

300 AI AGENTS QUIETLY RUN 99% OF A REAL... COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.show more

OpenAI DOTS can take one idea from market research... to first outreach and results while you SLEEP > Most people will open it, type one prompt and close the tab. That is the most EXPENSIVE way to use it. Here is the better way, you hand one dot an opportunity and it becomes the orchestrator. It splits the job between five specialists. One validates demand, one sets the offer and pricing, one builds the content, one handles distribution and outreach, and one tracks what worked. Each of them has its own cloud computer and its own browser. They log into your tools once and stay signed in, so your laptop can stay CLOSED. Reading, researching and drafting happen on their own. Anything that sends a message, spends money or overwrites a file stops and waits for your OK. You get a ping in Slack, tap approve, and the work picks back up. You can also set a clock, a morning routine pulls from your apps and drops one brief in Slack before you open your eyes. One objective in, a whole team working on it overnight. Full setup in the article ↓show more

🚨this is getting SCARY. i just watched a 19-year-old... on a flight with no wifi quietly turn Elon's Grok Bot into a second brain that runs his whole business (founders pay $70,000+ a year for an assistant who does half of this), and i'd bet 99% of people have no idea it's possible yet it's the one who remembers every client, every price and every deadline so the founder never has to, and the good ones are never free you can copy his whole setup in four lines: - make one folder and call it your second brain - drop in your projects, clients, prices and a few things you wrote - open Grok Bot and point it at that folder - connect your Telegram from there, Grok Bot handles everything every morning at 7:00 it reads the folder, answers clients in his voice, quotes prices the way he would and sends him one Telegram message with whatever needs a yes 1 folder ≈ 3 months of his decisions zero onboarding zero repeating himself zero inbox he set it up before takeoff. it worked the entire flight you're done explaining yourself to AI you're running your own second brain save this. the full course is belowshow more

whoever leaked this has bigger balls than sense someone... at Anthropic put 80 AI helpers on one project, gave them twelve hours, and counted what came back usable: the two older models turned in 980 and 876 finished pieces of work, and almost none of it was worth keeping turns out the newest helpers won for a reason nobody wants to hear: they went off into their own corners and stopped touching each other's work i pointed two helpers at one document last week and got two confident versions of it, and i kept the one i wrote myself Claude Opus 5.5 is the version of this you can actually use: one early tester had it audit and fix 200,000 lines of code in under three hours. the older Opus 5 needed over 20 hours for the same job you already pay about $20 a month for one chat window, and the setup that won in that report is one helper with one job it owns run it tonight in the chat you already have, it takes 3 moves 1. write the one job each helper owns in a single sentence before you open a second chat 2. keep every helper in its own chat with one document, so two of them can never rewrite the same thing 3. add a third only when you can say what it owns without repeating a job that's already taken save this, then open the piece below read full guide belowshow more

nobody at your company knows every path a user... can take through your app. you built the happy path. QA runs a few. the PRD describes one journey. users take all the others. we built atlas to map every one. point it at any iOS app, get back every screen and every flow through it.show more

you've read 200 articles this year. you remember maybe... 5. the other 195 didn't vanish because you're forgetful — they vanished because they had nowhere to live. no system caught them, so they slipped straight through. here's the fix — Karpathy's second-brain method: > drop anything into one folder: an article, a PDF, a transcript > Claude breaks it into atomic notes and links each one to what's already there > nothing sits alone — every new source makes the whole vault sharper > then you stop searching and just ask, pulling from all of it at once three folders. one config file. set up before your coffee's done. no more cold starts — every session builds on everything you know. full A–Z guide below.show more

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic... shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.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

Anthropic didn't build his memory system. He built it... himself, and what you're looking at is the proof. Same source, no gatekeeping. The Obsidian CEO published it, anyone can install it. That's not a screensaver on his second monitor. It's his vault. Every point of light is a note. Every cluster is a project his AI already understands without being told again. He doesn't even touch the keyboard to move through it. One hand up, and the whole cluster tilts and spins, like he's turning a globe that happens to be his own head. A year ago he opened a new AI tab every morning and explained himself from scratch. Who he is, what he's building, what he wants. 200+ hours a year, just re-introducing himself to a machine. Then he stopped writing prompts and started writing one file instead. It loaded before every session. His goals, his projects, his blind spots. Claude read it first, every time, without asking. Now the cluster on that screen keeps growing on its own. New notes link themselves. Nothing gets explained twice. He's not showing off code. He's showing off the machine that finally stopped forgetting him.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

Lauren from the Grok Bot team just confirmed it:... every bot now runs on Claude Opus 5.5 and each one can spin up its own cloud agents running Cursor’s models this is f*cking insane... so i built the harness on top of it, in one prompt: Opus 5.5 leads and builds, Grok scouts live X and the web, every claim needs two sources, a red team attacks the draft before you see it, and every run gets logged so the next one starts smarter you stop prompting models. you sign off on results. paste it into Grok Bot or Claude and thank me later all 10 steps, the workflow, and real examples below ↓show more