Github Top Repositories
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💡 colbymchenry/codegraph just hit the trending charts — here's why it matters.
🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local
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CodeGraph is a semantic code intelligence tool that supercharges Claude Code, Cursor, Codex, and OpenCode by providing a pre-indexed knowledge graph of codebases. This graph contains symbol relationships, call graphs, and code structure, allowing agents to query it instantly instead of scanning files.
Key features include smart context building, full-text search, impact analysis, and always-fresh file watching. It supports 19+ languages and is framework-aware, recognizing web-framework routing files and emitting route nodes linked to their handlers.
To
Technical highlights include a 35% cheaper and 70% fewer tool call rate, with a 100% local database and no external services required.
The target audience includes developers using Claude Code, Cursor, Codex, or OpenCode, who want to improve their code exploration experience.
In short, CodeGraph is a game-changer for code exploration - it's like having a superpower for your code editor, making you code smarter, not harder.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local
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CodeGraph is a semantic code intelligence tool that supercharges Claude Code, Cursor, Codex, and OpenCode by providing a pre-indexed knowledge graph of codebases. This graph contains symbol relationships, call graphs, and code structure, allowing agents to query it instantly instead of scanning files.
Key features include smart context building, full-text search, impact analysis, and always-fresh file watching. It supports 19+ languages and is framework-aware, recognizing web-framework routing files and emitting route nodes linked to their handlers.
To
get started, run the interactive installer with npx @colbymchenry/codegraph, then restart your agent and initialize projects with codegraph init -i. Technical highlights include a 35% cheaper and 70% fewer tool call rate, with a 100% local database and no external services required.
The target audience includes developers using Claude Code, Cursor, Codex, or OpenCode, who want to improve their code exploration experience.
In short, CodeGraph is a game-changer for code exploration - it's like having a superpower for your code editor, making you code smarter, not harder.
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🧠 Channel: https://t.me/GithubRe
🔥 multica-ai/andrej-karpathy-skills is trending — and it deserves your attention.
🔗 https://github.com/multica-ai/andrej-karpathy-skills
📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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The multica-ai/andrej-karpathy-skills GitHub repository is inspired by Andrej Karpathy's observations on the pitfalls of Large Language Models (LLMs) in coding. The repo provides a
Think Before Coding,
Simplicity First,
Surgical Changes, and
Goal-Driven Execution.
These principles address common issues such as wrong assumptions, overcomplication, and unnecessary changes. The repo offers two installation options: as a Claude Code plugin or by adding the guidelines to a project's
The guidelines are designed to be merged with project-specific instructions and can be customized to fit individual needs. The ultimate goal is to reduce costly mistakes and promote efficient coding practices.
One key insight from Andrej Karpathy is that LLMs excel at looping until they meet specific goals, so giving them success criteria and watching them go is a powerful approach.
In a nutshell, this repo helps you code smarter, not harder, with LLMs - so, give your LLMs a compass, not a roadmap.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/multica-ai/andrej-karpathy-skills
📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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The multica-ai/andrej-karpathy-skills GitHub repository is inspired by Andrej Karpathy's observations on the pitfalls of Large Language Models (LLMs) in coding. The repo provides a
CLAUDE.md file that outlines four key principles to improve Claude Code behavior: Think Before Coding,
Simplicity First,
Surgical Changes, and
Goal-Driven Execution.
These principles address common issues such as wrong assumptions, overcomplication, and unnecessary changes. The repo offers two installation options: as a Claude Code plugin or by adding the guidelines to a project's
CLAUDE.md file. The guidelines are designed to be merged with project-specific instructions and can be customized to fit individual needs. The ultimate goal is to reduce costly mistakes and promote efficient coding practices.
One key insight from Andrej Karpathy is that LLMs excel at looping until they meet specific goals, so giving them success criteria and watching them go is a powerful approach.
In a nutshell, this repo helps you code smarter, not harder, with LLMs - so, give your LLMs a compass, not a roadmap.
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🧠 Channel: https://t.me/GithubRe
⚡ dotnet/skills is making waves. Here's the full picture.
🔗 https://github.com/dotnet/skills
📝 Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills repository is a curated set of core skills and custom agents for coding agents, following the Agent Skills standard from
To use these skills, you can install them via the Copilot CLI, VS Code, or Cursor, by adding the marketplace and installing individual plugins. You can also install skills using the Codex CLI.
The repository is perfect for .NET developers looking to automate tasks and improve their workflow. It's also a great resource for contributors who want to add new plugins or improve existing ones.
The technical highlights of this repository include its compatibility with
The takeaway: Unlock your .NET development potential with dotnet/skills and take your coding to the next level!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/dotnet/skills
📝 Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills repository is a curated set of core skills and custom agents for coding agents, following the Agent Skills standard from
agentskills.io. It includes plugins for various .NET tasks such as data access, performance investigations, build skills, and more. To use these skills, you can install them via the Copilot CLI, VS Code, or Cursor, by adding the marketplace and installing individual plugins. You can also install skills using the Codex CLI.
The repository is perfect for .NET developers looking to automate tasks and improve their workflow. It's also a great resource for contributors who want to add new plugins or improve existing ones.
The technical highlights of this repository include its compatibility with
OpenAI Codex and its use of the agentskills.io standard. The takeaway: Unlock your .NET development potential with dotnet/skills and take your coding to the next level!
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🧠 Channel: https://t.me/GithubRe
🚀 Meet obra/superpowers: a gem from today's GitHub trending list.
🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology for coding agents, providing a set of composable skills and instructions to enhance their capabilities. The system starts by asking users about their goals, then breaks down the project into manageable chunks, and creates an implementation plan emphasizing test-driven development, simplicity, and code quality.
Key features include
To use Superpowers, simply install the plugin for your preferred coding agent, such as
From a technical standpoint, Superpowers is built around a skills library that includes testing, debugging, and collaboration tools, all designed to work seamlessly across different coding agents.
This project is suitable for developers and teams looking to streamline their development process and improve code quality.
In short, Superpowers is an innovative approach to software development that can supercharge your coding agents and take your projects to the next level - automating the process, not just the code.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology for coding agents, providing a set of composable skills and instructions to enhance their capabilities. The system starts by asking users about their goals, then breaks down the project into manageable chunks, and creates an implementation plan emphasizing test-driven development, simplicity, and code quality.
Key features include
test-driven-development, systematic-debugging, and collaboration tools, such as brainstorming, writing-plans, and executing-plans. To use Superpowers, simply install the plugin for your preferred coding agent, such as
Claude Code, Codex CLI, or GitHub Copilot CLI. From a technical standpoint, Superpowers is built around a skills library that includes testing, debugging, and collaboration tools, all designed to work seamlessly across different coding agents.
This project is suitable for developers and teams looking to streamline their development process and improve code quality.
In short, Superpowers is an innovative approach to software development that can supercharge your coding agents and take your projects to the next level - automating the process, not just the code.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🚀 Meet HKUDS/CLI-Anything: a gem from today's GitHub trending list.
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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CLI-Anything is a revolutionary project that bridges the gap between AI agents and the world's software by making any software agent-ready with just
Key features of CLI-Anything include the CLI-Hub, a central registry where you can browse, search, and install any CLI with a single
To get started, users can visit the CLI-Hub to explore and install CLIs. The project is built using
CLI-Anything is designed for developers, AI researchers, and power users who want to automate tasks and integrate various software with AI agents. With its extensive test coverage and security features, the project ensures reliable and secure interactions between agents and software.
In summary, CLI-Anything is a game-changer for AI-agent interaction, and its potential is vast: one command line to rule them all.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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CLI-Anything is a revolutionary project that bridges the gap between AI agents and the world's software by making any software agent-ready with just
one command line. The project's purpose is to empower agents to interact with various software, enabling them to perform tasks autonomously. Key features of CLI-Anything include the CLI-Hub, a central registry where you can browse, search, and install any CLI with a single
pip install cli-anything-hub command, followed by cli-hub install <name>. The project also provides demos that showcase AI agents using generated CLIs to produce real artifacts.To get started, users can visit the CLI-Hub to explore and install CLIs. The project is built using
python, click, and pytest, with a focus on JSON and human-readable output.CLI-Anything is designed for developers, AI researchers, and power users who want to automate tasks and integrate various software with AI agents. With its extensive test coverage and security features, the project ensures reliable and secure interactions between agents and software.
In summary, CLI-Anything is a game-changer for AI-agent interaction, and its potential is vast: one command line to rule them all.
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🧠 Channel: https://t.me/GithubRe
📌 Spotted on GitHub Trending: rmyndharis/OpenWA — let's break it down.
🔗 https://github.com/rmyndharis/OpenWA
📝 Free, Open Source, Self-Hosted WhatsApp API Gateway
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Introducing OpenWA, a free, open-source WhatsApp API Gateway designed for developers who need full control over their messaging infrastructure. With a pluggable architecture, OpenWA allows you to swap database engines, storage backends, and cache layers without changing a single line of application code.
The key features of OpenWA include a
To get started with OpenWA, you can use the
OpenWA is suitable for developers who want to build custom messaging applications without vendor lock-in or hidden paywalls. With its flexible architecture and comprehensive documentation, OpenWA is an ideal choice for businesses and individuals looking for a reliable and scalable WhatsApp API Gateway.
Take control of your messaging infrastructure with OpenWA - the open-source WhatsApp API Gateway that puts you in the driver's seat!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/rmyndharis/OpenWA
📝 Free, Open Source, Self-Hosted WhatsApp API Gateway
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Introducing OpenWA, a free, open-source WhatsApp API Gateway designed for developers who need full control over their messaging infrastructure. With a pluggable architecture, OpenWA allows you to swap database engines, storage backends, and cache layers without changing a single line of application code.
The key features of OpenWA include a
REST API, multi-session support, webhooks, a web dashboard, and API key authentication. It also supports text messages, media messages, message reactions, bulk messaging, and message status tracking.To get started with OpenWA, you can use the
docker compose command to start the application in development mode or production mode. The project uses a Node.js runtime, NestJS framework, and TypeScript language.OpenWA is suitable for developers who want to build custom messaging applications without vendor lock-in or hidden paywalls. With its flexible architecture and comprehensive documentation, OpenWA is an ideal choice for businesses and individuals looking for a reliable and scalable WhatsApp API Gateway.
Take control of your messaging infrastructure with OpenWA - the open-source WhatsApp API Gateway that puts you in the driver's seat!
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🧠 Channel: https://t.me/GithubRe
🔥 ChromeDevTools/chrome-devtools-mcp is trending — and it deserves your attention.
🔗 https://github.com/ChromeDevTools/chrome-devtools-mcp
📝 Chrome DevTools for coding agents
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Introducing ChromeDevTools/chrome-devtools-mcp, a game-changing tool that lets your coding agent control and inspect a live Chrome browser. This Model-Context-Protocol (MCP) server gives your AI coding assistant access to the full power of Chrome DevTools, enabling reliable automation, in-depth debugging, and performance analysis.
The key features of
- Getting performance insights by recording traces and extracting actionable performance insights
- Advanced browser debugging capabilities, such as analyzing network requests, taking screenshots, and checking browser console messages
- Reliable automation using
To use
From a technical standpoint,
In short,
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/ChromeDevTools/chrome-devtools-mcp
📝 Chrome DevTools for coding agents
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Introducing ChromeDevTools/chrome-devtools-mcp, a game-changing tool that lets your coding agent control and inspect a live Chrome browser. This Model-Context-Protocol (MCP) server gives your AI coding assistant access to the full power of Chrome DevTools, enabling reliable automation, in-depth debugging, and performance analysis.
The key features of
chrome-devtools-mcp include:- Getting performance insights by recording traces and extracting actionable performance insights
- Advanced browser debugging capabilities, such as analyzing network requests, taking screenshots, and checking browser console messages
- Reliable automation using
puppeteer to automate actions in Chrome and automatically wait for action resultsTo use
chrome-devtools-mcp, you'll need Node.js, Chrome, and npm. The tool supports a range of coding agents, including Antigravity, Claude, Cursor, and Copilot, and provides a CLI for use without MCP.From a technical standpoint,
chrome-devtools-mcp is built using Node.js and leverages the power of Chrome DevTools and puppeteer. The tool is designed to be flexible and customizable, with options for slim mode and performance analysis.chrome-devtools-mcp is perfect for developers who want to supercharge their coding workflow with the power of Chrome DevTools. Whether you're looking to automate tasks, debug issues, or analyze performance, this tool has got you covered.In short,
chrome-devtools-mcp is a must-have tool for any developer looking to take their coding skills to the next level - it's like having a superpower in your coding toolbox!──────────────────────────────
🧠 Channel: https://t.me/GithubRe
📌 Spotted on GitHub Trending: rohitg00/ai-engineering-from-scratch — let's break it down.
🔗 https://github.com/rohitg00/ai-engineering-from-scratch
📝 Learn it. Build it. Ship it for others.
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The AI Engineering from Scratch curriculum is designed to bridge the gap between using AI tools and understanding how they work. With 435 lessons and 20 phases, this free, open-source resource covers everything from
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/rohitg00/ai-engineering-from-scratch
📝 Learn it. Build it. Ship it for others.
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The AI Engineering from Scratch curriculum is designed to bridge the gap between using AI tools and understanding how they work. With 435 lessons and 20 phases, this free, open-source resource covers everything from
math foundations to deep learning and autonomous systems. Each lesson follows a consistent structure, where you build an algorithm from scratch, then use it through a production library, resulting in a reusable artifact that you can apply to real-world problems. The curriculum is suitable for anyone who wants to understand how AI works, not just call APIs. By the end, you'll have a portfolio of 435 artifacts that you actually understand because you built them. Build it, use it, ship it - that's the motto, and with this curriculum, you'll be well on your way to becoming an AI engineer from scratch.──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🚀 Meet teng-lin/notebooklm-py: a gem from today's GitHub trending list.
🔗 https://github.com/teng-lin/notebooklm-py
📝 Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
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The notebooklm-py GitHub repository provides a comprehensive and unofficial Python API for NotebookLM, a powerful tool for research automation and content generation. With this library, developers can access NotebookLM's features programmatically, including capabilities not exposed in the web UI. The API supports
Key features include:
* Complete NotebookLM coverage: create, list, rename, and delete notebooks, as well as manage sources, chat, research, and sharing.
* Content generation: audio overviews, videos, slide decks, quizzes, flashcards, infographics, data tables, and mind maps.
* Beyond the web UI: batch downloads, quiz/flashcard export, mind map data extraction, and more.
The library can be used in three ways:
1. Python API: for application integration, async workflows, and custom pipelines.
2. CLI: for shell scripts, quick tasks, and CI/CD automation.
3. Agent integration: for integrating with AI agents like Claude Code, Codex, and OpenClaw.
The repository includes a
notebooklm-py is ideal for prototypes, research, and personal projects, and is not affiliated with Google. However, please note that it uses undocumented Google APIs, which can change without notice, and may be subject to rate limits.
To get started, users can install the library via
In summary, notebooklm-py is a powerful tool for unlocking the full potential of NotebookLM, and with its comprehensive API and ease of use, it's a must-try for anyone looking to automate research and content generation tasks - Automate your research and content creation with notebooklm-py, and take your productivity to the next level!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/teng-lin/notebooklm-py
📝 Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
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The notebooklm-py GitHub repository provides a comprehensive and unofficial Python API for NotebookLM, a powerful tool for research automation and content generation. With this library, developers can access NotebookLM's features programmatically, including capabilities not exposed in the web UI. The API supports
Python 3.10+ and can be installed via pip install notebooklm-py.Key features include:
* Complete NotebookLM coverage: create, list, rename, and delete notebooks, as well as manage sources, chat, research, and sharing.
* Content generation: audio overviews, videos, slide decks, quizzes, flashcards, infographics, data tables, and mind maps.
* Beyond the web UI: batch downloads, quiz/flashcard export, mind map data extraction, and more.
The library can be used in three ways:
1. Python API: for application integration, async workflows, and custom pipelines.
2. CLI: for shell scripts, quick tasks, and CI/CD automation.
3. Agent integration: for integrating with AI agents like Claude Code, Codex, and OpenClaw.
The repository includes a
quick start guide, CLI reference, and Python API documentation to help users get started.notebooklm-py is ideal for prototypes, research, and personal projects, and is not affiliated with Google. However, please note that it uses undocumented Google APIs, which can change without notice, and may be subject to rate limits.
To get started, users can install the library via
pip and follow the quick start guide. For more information, refer to the repository's documentation, including the troubleshooting guide and release notes.In summary, notebooklm-py is a powerful tool for unlocking the full potential of NotebookLM, and with its comprehensive API and ease of use, it's a must-try for anyone looking to automate research and content generation tasks - Automate your research and content creation with notebooklm-py, and take your productivity to the next level!
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🧠 Channel: https://t.me/GithubRe
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