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Comment "Graph" for Full Graphify Tutorial Video and 40+ Free Claude Code Guides/Templates Claude Code is expensive when it has to reread everything. Graphify fixes that. It turns your raw files into a knowledge graph, then maps how each file connects. Add Graphify Query to your search and Claude... show more

Charles J Dove

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32,500 次观看 • 6 个月前 •via TikTok

教育科学技术 #aiagents #claudecode #graphify #knowledgegraph #aiworkflow

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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

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 次观看 • 4 个月前

Ponytail: Graphify: OmniRoute: Your Claude limit doesn't run out from hard work. It runs out from waste. Extra code nobody asked for. Files read again and again. Then a dead stop mid-build. Ponytail trims the code. Graphify gives Claude a map. OmniRoute keeps you moving when limits hit. Like packing light for a long hike. You walk further before you're tired. Spend tokens on the work that matters. #claudecode #ponytail #graphify #omniroute #tokens

Ponytail: Graphify: OmniRoute: Your Claude limit doesn't run out from hard work. It runs out from waste. Extra code nobody asked for. Files read again and again. Then a dead stop mid-build. Ponytail trims the code. Graphify gives Claude a map. OmniRoute keeps you moving when limits hit. Like packing light for a long hike. You walk further before you're tired. Spend tokens on the work that matters. #claudecode #ponytail #graphify #omniroute #tokens

jackroberts____

108,600 次观看 • 4 天前

$THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this$

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,568 次观看 • 5 个月前

Holy sh*t I spent weeks turning Claude Code into a design studio. no Figma license. no agency. no plugins I had to pay for. here's the stack I used and it's embarrassingly simple: -> graphify: teach Claude your brand dump your guidelines, logos, PDFs and old projects into one folder. graphify turns it into a knowledge graph, so every design Claude makes follows your rules instead of guessing. 134k stars, Y Combinator. uv tool install graphifyy -> graphify install -> /graphify . -> Figma-Context-MCP: Figma straight to code it hands your actual Figma file to the agent. the README says it builds designs in one shot, and does it better than pasting screenshots. -> Penpot: the open-source Figma free, open source, and its MCP server lets AI read and edit your designs, then hand them to code and back. -> React Bits: the "expensive" look, for free the biggest open-source library of animated React components. those smooth hover effects and text animations you see on high-end sites? copy, paste, done. -> HyperFrames: designs that move write HTML, get a finished video. made by HeyGen for AI agents. your landing page can now have its own launch video by tonight. claude plugin marketplace add heygen-com/hyperframes -> claude plugin install hyperframes@hyperframes -> MCP for Blender: 3D without learning Blender connects Claude to Blender. describe a scene, the agent builds and edits it in real 3D. the order that works: brand into graphify -> design in Figma or Penpot -> Claude builds it with React Bits -> HyperFrames makes the promo -> Blender adds the 3D hero shot the uncomfortable part: tools used to be the moat. now everyone has them for free. the only thing that still separates good design from AI slop is taste. and taste is the one thing you can't install. bookmark this. your next client will ask why you're suddenly so fast.

kiosa

73,242 次观看 • 16 天前

Karpathy sketched the second brain. these 7 open-source repos already built it for Obsidian + Claude Code 250,000+ GitHub stars between them, and every one is free to clone sorted by stars: 1. graphify - 134k stars turns your codebase, docs, SQL schemas and PDFs into one knowledge graph you can query ↳ 2. Understand-Anything - 88k stars maps any codebase into an interactive knowledge graph you can click through ↳ 3. claude-obsidian - 15.8k stars a second brain that organizes itself: drop in a source, Claude Code files it ↳ 4. obsidian-second-brain - 4.9k stars long-term memory for Claude Code, stored as plain markdown in your vault ↳ 5. mcp-obsidian - 4.5k stars one MCP server and Claude can read, search and write your whole vault ↳ 6. claudesidian - 2.6k stars a starter vault designed around Claude Code from the first note ↳ 7. second-brain - 756 stars an Obsidian wiki the model keeps up to date, built on Karpathy's LLM Wiki pattern ↳ where to start: > your knowledge lives in code -> graphify > your knowledge lives in Obsidian -> claude-obsidian > you just want Claude to remember -> obsidian-second-brain > you live in Claude Desktop -> mcp-obsidian the skills that sit on top of all seven are in the full map below ↓

Karpathy sketched the second brain. these 7 open-source repos already built it for Obsidian + Claude Code 250,000+ GitHub stars between them, and every one is free to clone sorted by stars: 1. graphify - 134k stars turns your codebase, docs, SQL schemas and PDFs into one knowledge graph you can query ↳ 2. Understand-Anything - 88k stars maps any codebase into an interactive knowledge graph you can click through ↳ 3. claude-obsidian - 15.8k stars a second brain that organizes itself: drop in a source, Claude Code files it ↳ 4. obsidian-second-brain - 4.9k stars long-term memory for Claude Code, stored as plain markdown in your vault ↳ 5. mcp-obsidian - 4.5k stars one MCP server and Claude can read, search and write your whole vault ↳ 6. claudesidian - 2.6k stars a starter vault designed around Claude Code from the first note ↳ 7. second-brain - 756 stars an Obsidian wiki the model keeps up to date, built on Karpathy's LLM Wiki pattern ↳ where to start: > your knowledge lives in code -> graphify > your knowledge lives in Obsidian -> claude-obsidian > you just want Claude to remember -> obsidian-second-brain > you live in Claude Desktop -> mcp-obsidian the skills that sit on top of all seven are in the full map below ↓

Mr. Buzzoni

30,515 次观看 • 18 天前

I can't f*cking believe people still use Claude Code like a chat bot. the ones getting real work out of it gave it a folder, tools and a map of everything it knows. that map is graphify. you point it at a folder and it builds a knowledge graph of everything inside. code, docs, PDFs, images, even video. then your agent searches the graph instead of opening files one by one. 134k stars on GitHub. backed by Y Combinator. and most people still haven't tried it. what makes it different: -> the code part runs fully on your machine. nothing gets uploaded -> no vector database, no embeddings. it's a real graph your agent walks through -> every connection is labeled: read straight from the source, or figured out by graphify. you always know which -> you get 3 files: a clickable map you open in your browser, a report with the key ideas and surprising links, and the full graph your agent queries anytime on a public memory benchmark it found the right answer in its top 10 results about half the time. mem0 managed under 5%. and building the graph cost 0 model credits. here's the full setup around it: > create a folder called AGENT, open Claude Code inside it, and add a CLAUDE.md with one line: "save every decision, person and project to memory/" > run uv tool install graphifyy, then graphify install, then type /graphify . and the whole folder becomes a map Claude can search in seconds > run npm install -g @googleworkspace/cli, then gws auth setup and gws auth login. Claude can now read your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser for sites, forms and data > run npm i -g jev-guard, then jev-guard key "...", then jev-guard install claude. Jev checks every action before it runs. rm -rf gets blocked, emails with hidden instructions get flagged, about 4 cents per 1,000 checks > type /schedule and say "every morning at 7:30, send me what came in, what you drafted and what needs my yes" one folder. 15 minutes. and Claude finally knows where everything is. all the repos: -> -> -> -> bookmark this and try graphify first. it's the piece everyone skips.

I can't f*cking believe people still use Claude Code like a chat bot. the ones getting real work out of it gave it a folder, tools and a map of everything it knows. that map is graphify. you point it at a folder and it builds a knowledge graph of everything inside. code, docs, PDFs, images, even video. then your agent searches the graph instead of opening files one by one. 134k stars on GitHub. backed by Y Combinator. and most people still haven't tried it. what makes it different: -> the code part runs fully on your machine. nothing gets uploaded -> no vector database, no embeddings. it's a real graph your agent walks through -> every connection is labeled: read straight from the source, or figured out by graphify. you always know which -> you get 3 files: a clickable map you open in your browser, a report with the key ideas and surprising links, and the full graph your agent queries anytime on a public memory benchmark it found the right answer in its top 10 results about half the time. mem0 managed under 5%. and building the graph cost 0 model credits. here's the full setup around it: > create a folder called AGENT, open Claude Code inside it, and add a CLAUDE.md with one line: "save every decision, person and project to memory/" > run uv tool install graphifyy, then graphify install, then type /graphify . and the whole folder becomes a map Claude can search in seconds > run npm install -g @googleworkspace/cli, then gws auth setup and gws auth login. Claude can now read your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser for sites, forms and data > run npm i -g jev-guard, then jev-guard key "...", then jev-guard install claude. Jev checks every action before it runs. rm -rf gets blocked, emails with hidden instructions get flagged, about 4 cents per 1,000 checks > type /schedule and say "every morning at 7:30, send me what came in, what you drafted and what needs my yes" one folder. 15 minutes. and Claude finally knows where everything is. all the repos: -> -> -> -> bookmark this and try graphify first. it's the piece everyone skips.

kiosa

31,514 次观看 • 17 天前

Graphify might be the most powerful OpenClaw plugin yet 🤯 It makes OpenClaw and Claude Code up to 70x more efficient, dramatically faster, and massively cheaper to run. People are saying it can cut token costs by 70x while making your AI agents much smarter at the same time. This free tool could save you thousands. 🚀 #OpenClaw #ClaudeCode #Graphify #AI #ArtificialIntelligence

Graphify might be the most powerful OpenClaw plugin yet 🤯 It makes OpenClaw and Claude Code up to 70x more efficient, dramatically faster, and massively cheaper to run. People are saying it can cut token costs by 70x while making your AI agents much smarter at the same time. This free tool could save you thousands. 🚀 #OpenClaw #ClaudeCode #Graphify #AI #ArtificialIntelligence

Future Ai With Julian

15,800 次观看 • 7 个月前

48 HOURS AFTER KARPATHY POSTED HIS LLM WIKI IDEA, A 26-YEAR-OLD BIRMINGHAM GRAD SHIPPED THE ONE COMMAND THAT MAKES IT WORK. IT NOW HAS 76,000 GITHUB STARS 1 command. 71.5x fewer tokens per query. 0 vector databases points graphify at any folder - codebase, docs, PDFs, screenshots, video. Tree-sitter parses the code, Claude reads the prose, the whole thing lands as a knowledge graph in graphify-out/ one flag - --obsidian - writes the entire graph as a fully-linked Obsidian vault: one markdown note per concept, every relationship a wikilink, every node linked back to its source. Drop the vault into Claude Code as a skill. Claude queries the graph instead of grepping through raw files, forever Safi Shamsi finished his MSc at Birmingham with Distinction in 2025. His thesis was a knowledge-graph RAG system for academic search. He shipped Graphify 48 hours after Karpathy's post, iterates every week, and has already been forked by Rootly AI Labs for incident data. Hacker News, Analytics Vidhya, Towards AI - all organic.76,000 stars. Three months old no neo4j server. no vector db. no embedding pipeline. no cloud. no monthly fee you're reading this on a device that could clone the repo, run one command, and have a Claude-native knowledge graph of your entire codebase in Obsidian before your next standup

48 HOURS AFTER KARPATHY POSTED HIS LLM WIKI IDEA, A 26-YEAR-OLD BIRMINGHAM GRAD SHIPPED THE ONE COMMAND THAT MAKES IT WORK. IT NOW HAS 76,000 GITHUB STARS 1 command. 71.5x fewer tokens per query. 0 vector databases points graphify at any folder - codebase, docs, PDFs, screenshots, video. Tree-sitter parses the code, Claude reads the prose, the whole thing lands as a knowledge graph in graphify-out/ one flag - --obsidian - writes the entire graph as a fully-linked Obsidian vault: one markdown note per concept, every relationship a wikilink, every node linked back to its source. Drop the vault into Claude Code as a skill. Claude queries the graph instead of grepping through raw files, forever Safi Shamsi finished his MSc at Birmingham with Distinction in 2025. His thesis was a knowledge-graph RAG system for academic search. He shipped Graphify 48 hours after Karpathy's post, iterates every week, and has already been forked by Rootly AI Labs for incident data. Hacker News, Analytics Vidhya, Towards AI - all organic.76,000 stars. Three months old no neo4j server. no vector db. no embedding pipeline. no cloud. no monthly fee you're reading this on a device that could clone the repo, run one command, and have a Claude-native knowledge graph of your entire codebase in Obsidian before your next standup

chewa

302,855 次观看 • 4 个月前

I TURNED CLAUDE CODE INTO A REAL BRAIN WITH ACTUAL CONNECTIONS No more mediocre agents that forget everything after a single conversation The guy in this video turned Claude Code into a true operating system for his brain using Graphify + Obsidian Here’s what it actually does: > Every conversation, file, asset, and research snippet I’ve ever given Claude is now mapped into a connected knowledge graph > The AI understands the relationships between all of my projects and ideas like a real teammate > Searching across my entire knowledge base is now 10x faster > Token usage has dropped by around 70x > Full graph visualization inside Obsidian powered by Graphify (100k+ downloads) In the article below, I explain in more detail how and why you should build your own Agentic OS - a system that can completely transform the way you work with AI Bookmark both posts so you don’t lose them, and start building something similar sooner rather than later

I TURNED CLAUDE CODE INTO A REAL BRAIN WITH ACTUAL CONNECTIONS No more mediocre agents that forget everything after a single conversation The guy in this video turned Claude Code into a true operating system for his brain using Graphify + Obsidian Here’s what it actually does: > Every conversation, file, asset, and research snippet I’ve ever given Claude is now mapped into a connected knowledge graph > The AI understands the relationships between all of my projects and ideas like a real teammate > Searching across my entire knowledge base is now 10x faster > Token usage has dropped by around 70x > Full graph visualization inside Obsidian powered by Graphify (100k+ downloads) In the article below, I explain in more detail how and why you should build your own Agentic OS - a system that can completely transform the way you work with AI Bookmark both posts so you don’t lose them, and start building something similar sooner rather than later

Bonsai 🌳

12,135 次观看 • 5 个月前

graphify is a cheat code

graphify is a cheat code

Chase AI

53,400 次观看 • 5 个月前

I truly don't understand why nobody is using this setup graphify, a tool that turns any folder into a knowledge graph your agent can query, just passed 126k stars on github and got into Y Combinator. people stopped asking ai questions. they're giving it a desk, a memory and a job. you give Claude Code one folder, plug in your email, calendar and a browser, and it turns into an agent. it reads, remembers, acts, and checks itself before it does anything stupid. doesn't matter if you're a founder, a marketer or a student, you need this the full setup: > create a folder called AGENT, open Claude Code inside it and add a CLAUDE.md with one rule: "save every decision, person and project to memory/" > run npm install -g @googleworkspace/cli, then gws auth setup. now it reads your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser to open sites, fill forms and pull data for you > run uv tool install graphifyy, then graphify install, then type /graphify .. everything in the folder becomes a knowledge graph it queries in seconds instead of digging file by file > run npm i -g jev-guard, jev-guard key "...", jev-guard install claude. a tiny model called Jev scores every action before it runs. rm -rf gets blocked, a poisoned email gets flagged, for about 4 cents per 1,000 checks > type /schedule and tell it "every morning at 7:30, send me what came in, what you drafted and what waits for my yes". from now on it works on a routine 15 minutes to set up, and you never start from a blank chat again. every repo is below: -> -> -> -> bookmark this

I truly don't understand why nobody is using this setup graphify, a tool that turns any folder into a knowledge graph your agent can query, just passed 126k stars on github and got into Y Combinator. people stopped asking ai questions. they're giving it a desk, a memory and a job. you give Claude Code one folder, plug in your email, calendar and a browser, and it turns into an agent. it reads, remembers, acts, and checks itself before it does anything stupid. doesn't matter if you're a founder, a marketer or a student, you need this the full setup: > create a folder called AGENT, open Claude Code inside it and add a CLAUDE.md with one rule: "save every decision, person and project to memory/" > run npm install -g @googleworkspace/cli, then gws auth setup. now it reads your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser to open sites, fill forms and pull data for you > run uv tool install graphifyy, then graphify install, then type /graphify .. everything in the folder becomes a knowledge graph it queries in seconds instead of digging file by file > run npm i -g jev-guard, jev-guard key "...", jev-guard install claude. a tiny model called Jev scores every action before it runs. rm -rf gets blocked, a poisoned email gets flagged, for about 4 cents per 1,000 checks > type /schedule and tell it "every morning at 7:30, send me what came in, what you drafted and what waits for my yes". from now on it works on a routine 15 minutes to set up, and you never start from a blank chat again. every repo is below: -> -> -> -> bookmark this

kiosa

110,560 次观看 • 26 天前

Organiza tu Claude con Graphify y quémalo menos 😬

Organiza tu Claude con Graphify y quémalo menos 😬

soyenriquerocha

41,600 次观看 • 1 个月前

It is becoming f*cking dangerous: when Anthropic released this, they didn't even realize what a massive chain reaction they were triggering 1. Set up a folder called SECOND BRAIN on your computer 2. Open Claude Code inside that directory and configure GWS CLI to give it access to your Google Drive, Gmail, and Calendar 3. Make a new subfolder named MEMORY inside the root folder 4. Add a ⁠CLAUDE.md⁠ file to the root directory with instructions to log all critical context inside the MEMORY folder 5. Download and install Graphify from GitHub to connect your notes into a knowledge graph 6. Set up Playwright so Claude gets full browser automation capabilities 7. Configure skills to bundle everything into a single automation executable triggered by one command The entire setup takes roughly 20 minutes Transform Claude into your ultimate second brain, packed with persistent memory, direct cloud and email integration, plus seamless web browsing Check out the full step-by-step guide in the article below

It is becoming f*cking dangerous: when Anthropic released this, they didn't even realize what a massive chain reaction they were triggering 1. Set up a folder called SECOND BRAIN on your computer 2. Open Claude Code inside that directory and configure GWS CLI to give it access to your Google Drive, Gmail, and Calendar 3. Make a new subfolder named MEMORY inside the root folder 4. Add a ⁠CLAUDE.md⁠ file to the root directory with instructions to log all critical context inside the MEMORY folder 5. Download and install Graphify from GitHub to connect your notes into a knowledge graph 6. Set up Playwright so Claude gets full browser automation capabilities 7. Configure skills to bundle everything into a single automation executable triggered by one command The entire setup takes roughly 20 minutes Transform Claude into your ultimate second brain, packed with persistent memory, direct cloud and email integration, plus seamless web browsing Check out the full step-by-step guide in the article below

Bober_smart

244,658 次观看 • 23 天前

Introducing Deep Graph MCP for Claude Code 🤩 Claude Code by Anthropic is excellent and arguably one of the best tools for working with code today but... It has one major limitation, its native code search capabilities don't scale well to large repositories. By adding Deep Graph MCP, Claude's ability to explore large codebases improves dramatically. In this thread 🧵 I’ll show you how easy it is to connect this MCP to Claude Code.

Introducing Deep Graph MCP for Claude Code 🤩 Claude Code by Anthropic is excellent and arguably one of the best tools for working with code today but... It has one major limitation, its native code search capabilities don't scale well to large repositories. By adding Deep Graph MCP, Claude's ability to explore large codebases improves dramatically. In this thread 🧵 I’ll show you how easy it is to connect this MCP to Claude Code.

Daniel San

31,974 次观看 • 1 年前

Obsidian + Claude Code builds a real second brain in 17 minutes. Claude Code reads entire vault, connects notes & builds a knowledge graph of everything you've ever written. Bookmark it. This one actually works.

Obsidian + Claude Code builds a real second brain in 17 minutes. Claude Code reads entire vault, connects notes & builds a knowledge graph of everything you've ever written. Bookmark it. This one actually works.

0xMarioNawfal

68,251 次观看 • 7 个月前

Okay, ClaudeDevs mods are wild. Made one for Omnigraph and now I watch every query on the graph as Claude works. Plus a full graph browser right inside Claude Code

Okay, ClaudeDevs mods are wild. Made one for Omnigraph and now I watch every query on the graph as Claude works. Plus a full graph browser right inside Claude Code

Roman Pronskiy

19,045 次观看 • 1 个月前

¿Claude Code está consumiendo demasiados tokens? 👀💻 Graphify propone una forma diferente de trabajar: crea un grafo de conocimiento de tu proyecto para que el agente pueda navegar sus relaciones sin tener que revisar todo desde cero en cada sesión. ⚡ Menos contexto innecesario 🧠 Mejor navegación del código 🔓 Gratis y open source 🤖 Compatible con diferentes herramientas de coding con IA ¿Quieres probarlo? #Graphify #ClaudeCode #ClaudeAI #AICoding #AITools

¿Claude Code está consumiendo demasiados tokens? 👀💻 Graphify propone una forma diferente de trabajar: crea un grafo de conocimiento de tu proyecto para que el agente pueda navegar sus relaciones sin tener que revisar todo desde cero en cada sesión. ⚡ Menos contexto innecesario 🧠 Mejor navegación del código 🔓 Gratis y open source 🤖 Compatible con diferentes herramientas de coding con IA ¿Quieres probarlo? #Graphify #ClaudeCode #ClaudeAI #AICoding #AITools

MissDani.AI

231,300 次观看 • 1 个月前

STOP BURNING YOUR OPUS 5.5 LIMIT FOR NOTHING these 8 repos cut what Claude reads, writes and re-reads. copy the list before your next long session: headroom: shrinks tool output, logs and files before they reach the model, and keeps the originals so Claude can pull them back when it needs them. 75k stars claude-context: semantic search over your whole codebase, so Claude fetches the relevant snippets and doesn’t read whole files to find them. 12k stars lean-ctx: a local layer that compresses file reads and shell output. a file Claude already read costs about 13 tokens the second time. 3.8k stars openwolf: hooks that keep a project index and session notes, so Claude skips files it already read and doesn’t lose its work at compaction. 2.1k stars claude-token-efficient: one CLAUDE.md that keeps answers short. nothing to install, and output is the $20-per-million side of Opus 5.5. 6.1k stars jcodemunch-mcp: indexes the repo once, then Claude asks for one function and gets just that. it claims 95% less code reading. 2.5k stars ccusage: reads your local Claude Code logs and shows tokens and cost by day and by session. 19k stars Claude-Code-Usage-Monitor: live usage bars and a forecast of when you’ll hit your limit. 8.6k stars none of them makes Opus better. each one just stops it from paying for tokens it didn’t need start with the last two: see where your limit actually goes, then pick two tools from the top. the full setup with scripts is in the article

STOP BURNING YOUR OPUS 5.5 LIMIT FOR NOTHING these 8 repos cut what Claude reads, writes and re-reads. copy the list before your next long session: headroom: shrinks tool output, logs and files before they reach the model, and keeps the originals so Claude can pull them back when it needs them. 75k stars claude-context: semantic search over your whole codebase, so Claude fetches the relevant snippets and doesn’t read whole files to find them. 12k stars lean-ctx: a local layer that compresses file reads and shell output. a file Claude already read costs about 13 tokens the second time. 3.8k stars openwolf: hooks that keep a project index and session notes, so Claude skips files it already read and doesn’t lose its work at compaction. 2.1k stars claude-token-efficient: one CLAUDE.md that keeps answers short. nothing to install, and output is the $20-per-million side of Opus 5.5. 6.1k stars jcodemunch-mcp: indexes the repo once, then Claude asks for one function and gets just that. it claims 95% less code reading. 2.5k stars ccusage: reads your local Claude Code logs and shows tokens and cost by day and by session. 19k stars Claude-Code-Usage-Monitor: live usage bars and a forecast of when you’ll hit your limit. 8.6k stars none of them makes Opus better. each one just stops it from paying for tokens it didn’t need start with the last two: see where your limit actually goes, then pick two tools from the top. the full setup with scripts is in the article

rvaniaaa

12,381 次观看 • 27 天前

Share Claude Code sessions with this command 👇 Just shipped v1.26.1 of claude-code-templates because I kept needing to hand off work mid-session. Run: npx claude-code-templates@latest --chats - All your sessions grouped by chat - Download any conversation To share a session: - Share the file, and add it to your project - Then run: claude "read @ chat-file .md and continue" Or if you are in the same account click on "Resume" and you will see the command: claude --resume session_id Built this to keep context flowing across the team without losing momentum.

Share Claude Code sessions with this command 👇 Just shipped v1.26.1 of claude-code-templates because I kept needing to hand off work mid-session. Run: npx claude-code-templates@latest --chats - All your sessions grouped by chat - Download any conversation To share a session: - Share the file, and add it to your project - Then run: claude "read @ chat-file .md and continue" Or if you are in the same account click on "Resume" and you will see the command: claude --resume session_id Built this to keep context flowing across the team without losing momentum.

Daniel San

10,787 次观看 • 1 年前

Ten months of private Claude Code tuning just went public, free on GitHub. It's called Everything Claude Code: 286 skills and 68 subagents. Basically a dev team in a folder. One skill scans your code for security holes. One keeps your memory clean. One learns from your past sessions. And it isn't locked to Claude Code: it runs on Cursor, Codex, Encode and Gemini too. Like inheriting a toolbox someone spent ten months filling, every tool already sharpened. He won Anthropic's own hackathon with this setup. Everything Claude Code: #everythingclaudecode #claudecode #cursor #codex #aiagents

Ten months of private Claude Code tuning just went public, free on GitHub. It's called Everything Claude Code: 286 skills and 68 subagents. Basically a dev team in a folder. One skill scans your code for security holes. One keeps your memory clean. One learns from your past sessions. And it isn't locked to Claude Code: it runs on Cursor, Codex, Encode and Gemini too. Like inheriting a toolbox someone spent ten months filling, every tool already sharpened. He won Anthropic's own hackathon with this setup. Everything Claude Code: #everythingclaudecode #claudecode #cursor #codex #aiagents

jackroberts____

1,000,000 次观看 • 1 个月前