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Someone built a tool that converts your entire codebase into a graph database. Instead of dumping code into LLMs, AI can navigate functions, classes, and dependencies like a map. It's called CodeGraphContext.

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Aman

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247,330 görüntüleme • 6 ay önce •via X (Twitter)

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This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.
0:22

This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.

Dan McAteer

174,775 görüntüleme • 2 ay önce

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
13:23

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

56,177 görüntüleme • 3 ay önce

CLAUDE CODE JUST ADDED A FEATURE THAT COULD KILL HOURS OF MEETINGS AND DOCUMENTATION It's called Artifacts. Turns the work Claude completes into live pages your entire team can actually understand.
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CLAUDE CODE JUST ADDED A FEATURE THAT COULD KILL HOURS OF MEETINGS AND DOCUMENTATION It's called Artifacts. Turns the work Claude completes into live pages your entire team can actually understand.

0xMarioNawfal

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Someone really built this. A VS Code extension that turns your AI agents into pixel art characters working inside a virtual office.
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Aman

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🚨 AI coding agents hallucinate because they can't actually read your codebase. This MCP server fixes that. It's called Context+ and it gives AI 99% accuracy on large-scale engineering projects by building a real semantic map of your code before touching a single line. Here's what makes it different from every other MCP tool: → Tree-sitter AST parsing across 43 file extensions. Not grep. Not regex. Actual syntax trees. → Spectral Clustering that groups semantically related files into labeled clusters. Your AI finally understands what belongs together. → Obsidian-style wikilinks that map features to code files. Navigate entire codebases like a knowledge graph. → Blast radius tracing. Before any change, it shows every file and line where a symbol is imported or used. No more orphaned references. → Shadow restore points. Every AI-proposed commit creates a restore snapshot. One command to undo any change without touching git history. → Semantic search by meaning. Ask what something does. Not what it's called. The `propose_commit` tool is the wild part. It validates changes against strict rules, creates a shadow restore point, and only then writes to disk. AI can't just freestyle your production code. Works with Claude Code, Cursor, VS Code, and Windsurf. One line to install with bunx or npx. This is what responsible AI coding infrastructure actually looks like. 100% Opensource. Link in comments.
0:46

🚨 AI coding agents hallucinate because they can't actually read your codebase. This MCP server fixes that. It's called Context+ and it gives AI 99% accuracy on large-scale engineering projects by building a real semantic map of your code before touching a single line. Here's what makes it different from every other MCP tool: → Tree-sitter AST parsing across 43 file extensions. Not grep. Not regex. Actual syntax trees. → Spectral Clustering that groups semantically related files into labeled clusters. Your AI finally understands what belongs together. → Obsidian-style wikilinks that map features to code files. Navigate entire codebases like a knowledge graph. → Blast radius tracing. Before any change, it shows every file and line where a symbol is imported or used. No more orphaned references. → Shadow restore points. Every AI-proposed commit creates a restore snapshot. One command to undo any change without touching git history. → Semantic search by meaning. Ask what something does. Not what it's called. The `propose_commit` tool is the wild part. It validates changes against strict rules, creates a shadow restore point, and only then writes to disk. AI can't just freestyle your production code. Works with Claude Code, Cursor, VS Code, and Windsurf. One line to install with bunx or npx. This is what responsible AI coding infrastructure actually looks like. 100% Opensource. Link in comments.

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No way. Adobe's new node editor is a straight-up ComfyUI clone! The killer feature is encapsulating an entire graph into a simple tool that can be dropped into Photoshop.
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No way. Adobe's new node editor is a straight-up ComfyUI clone! The killer feature is encapsulating an entire graph into a simple tool that can be dropped into Photoshop.

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Introducing Deep Graph Codebase to MCP with One Click... Now Available for Gemini CLI too! 🤩 Transform any public GitHub repository into an AI-ready Code Graph by simply changing the URL from to This instantly prepares the repository for seamless integration with AI assistants. It's that easy! You can now use repositories like ollama as a code graph within any project using Gemini CLI... just add the MCP Server JSON configuration to your .gemini/settings.json file
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Introducing Deep Graph Codebase to MCP with One Click... Now Available for Gemini CLI too! 🤩 Transform any public GitHub repository into an AI-ready Code Graph by simply changing the URL from to This instantly prepares the repository for seamless integration with AI assistants. It's that easy! You can now use repositories like ollama as a code graph within any project using Gemini CLI... just add the MCP Server JSON configuration to your .gemini/settings.json file

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they gave frontier models a 1 billion token context window: you can now run Fable [1B], Opus [100M], GPT 5.6 [500M] across your entire codebase - it's a graph based tool that can traverse databases with 400M+ of nodes in ms - only one prompt to install - & it's open source (link in video) Introducing Polygres
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they gave frontier models a 1 billion token context window: you can now run Fable [1B], Opus [100M], GPT 5.6 [500M] across your entire codebase - it's a graph based tool that can traverse databases with 400M+ of nodes in ms - only one prompt to install - & it's open source (link in video) Introducing Polygres

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i made a tool that converts text into bottom spam and vice versa
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i made a tool that converts text into bottom spam and vice versa

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This Ai converts your slides and PDFs into a PODCAST!
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This Ai converts your slides and PDFs into a PODCAST!

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➡️ Here's how you can turn your entire codebase into a single LLM prompt. Meet Promptor.
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➡️ Here's how you can turn your entire codebase into a single LLM prompt. Meet Promptor.

GitHub

34,107 görüntüleme • 1 yıl önce

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
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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

Yarchi

141,580 görüntüleme • 2 ay önce

👀 Outline View Navigate your code faster with the Outline view in VS Code. It gives you a quick overview of the symbols in your file, making it easy to jump to classes, functions, variables, and more—without endlessly scrolling through your code.
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👀 Outline View Navigate your code faster with the Outline view in VS Code. It gives you a quick overview of the symbols in your file, making it easy to jump to classes, functions, variables, and more—without endlessly scrolling through your code.

Visual Studio Code

50,075 görüntüleme • 19 gün önce

Claude Cowork is like Claude Code but for your entire life It's going to be the biggest AI tool of 2026 I figured out a workflow that saves me 5+ hours a day and it's so simple even a non tech nerd can do it Here's my complete breakdown you can steal today:
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Claude Cowork is like Claude Code but for your entire life It's going to be the biggest AI tool of 2026 I figured out a workflow that saves me 5+ hours a day and it's so simple even a non tech nerd can do it Here's my complete breakdown you can steal today:

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Claude Code can now design stunning interfaces 🤯 There’s a free GitHub skill called UI UX Pro Max that upgrades Claude Code into a full UI and UX expert. Install it once and Claude suddenly builds cleaner layouts, better apps, and interfaces that actually look professional. Your AI can now code and design like a pro. 🚀
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Claude Code can now design stunning interfaces 🤯 There’s a free GitHub skill called UI UX Pro Max that upgrades Claude Code into a full UI and UX expert. Install it once and Claude suddenly builds cleaner layouts, better apps, and interfaces that actually look professional. Your AI can now code and design like a pro. 🚀

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76,743 görüntüleme • 5 ay önce

I read a lot of open-source code and that’s mostly how I learn to write better code. But it often takes a while to understand different projects their structure, how things are connected and GitHub’s UX isn’t that great for that. built "Gitvizz" to solve that exact problem it instantly turn your codebase into interactive graph so you can see how everything’s wired Check it out at - gitvizz. com ps: thats a real horse
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I read a lot of open-source code and that’s mostly how I learn to write better code. But it often takes a while to understand different projects their structure, how things are connected and GitHub’s UX isn’t that great for that. built "Gitvizz" to solve that exact problem it instantly turn your codebase into interactive graph so you can see how everything’s wired Check it out at - gitvizz. com ps: thats a real horse

Adithya S K

35,313 görüntüleme • 11 ay önce

Someone compressed Andrej Karpathy's entire personal knowledge base workflow into 10 minutes. Obsidian + Claude + your own files, querying a wiki that compounds instead of a chat that forgets. Best AI workflow I've tested this year.
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Someone compressed Andrej Karpathy's entire personal knowledge base workflow into 10 minutes. Obsidian + Claude + your own files, querying a wiki that compounds instead of a chat that forgets. Best AI workflow I've tested this year.

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i really enjoy 3Blue1Brown's math animations. so i built a tool that converts natural language into math animations using the manim engine and gpt-4o. now you can create your own math animations! give it a try using the link below.

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Obsidian just got WILD. Someone turned their entire vault into a 3D map of their mind using AI. Suddenly, you can see your knowledge gaps, disconnected ideas, and hidden connections. That’s not note-taking anymore. It’s a mirror for how you think.
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Obsidian just got WILD. Someone turned their entire vault into a 3D map of their mind using AI. Suddenly, you can see your knowledge gaps, disconnected ideas, and hidden connections. That’s not note-taking anymore. It’s a mirror for how you think.

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