⚡ ggml-org/llama.cpp is making waves. Here's the full picture.

🔗 https://github.com/ggml-org/llama.cpp
📝 LLM inference in C/C++
──────────────────────────────

The ggml-org/llama.cpp repository is a C/C++ implementation of LLM inference, focusing on minimal setup and state-of-the-art performance.

Its key features include:
- Plain C/C++ implementation
- Support for various hardware, including Apple silicon, x86 architectures, and RISC-V
- Integer quantization for faster inference
- Custom CUDA kernels for NVIDIA GPUs
- Vulkan and SYCL backend support

Usage is straightforward: install using brew, nix, or winget, run with Docker, or download pre-built binaries.

Technical highlights include optimized performance on a wide range of hardware, hybrid CPU+GPU inference, and support for models like LLaMA, Mistral 7B, and more.

The repository is suitable for audiences interested in LLM inference, including developers and researchers.

In a nutshell: llama.cpp brings fast and efficient LLM inference to your fingertips, making it an exciting project to explore.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🌟 RyanCodrai/turbovec caught my eye on GitHub Trending today.

🔗 https://github.com/RyanCodrai/turbovec
📝 A vector index built on TurboQuant, written in Rust with Python bindings
──────────────────────────────

Turbovec is an open-source vector index built on Google Research's TurboQuant algorithm, providing a data-oblivious quantizer that matches the Shannon lower bound on distortion. It features online ingest, faster-than-FAISS search, and filter-at-search-time capabilities, making it suitable for building RAG (Retrieval-Augmented Generation) systems where privacy, memory, or latency matters.

Key features include:
- Online ingest: add vectors without requiring a train step or parameter tuning
- Faster-than-FAISS search: hand-written NEON (ARM) and AVX-512BW (x86) kernels beat FAISS IndexPQFastScan
- Filter at search time: pass an id allowlist to restrict search results
- Pure local: no managed service, no data leaving your machine or VPC

The library is available in both Python and Rust, with Python bindings for easy integration. It also includes framework integrations for popular libraries like LangChain, LlamaIndex, Haystack, and Agno.

Turbovec achieves high compression ratios (up to 16x) and fast search speeds, making it an attractive solution for applications requiring efficient vector search. With its length-renormalized scoring and Lloyd-Max scalar quantization, Turbovec provides a robust and accurate search experience.

In summary, Turbovec is a powerful and efficient vector index library that is perfect for building high-performance RAG systems.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

💡 TapXWorld/ChinaTextbook just hit the trending charts — here's why it matters.

🔗 https://github.com/TapXWorld/ChinaTextbook
📝 所有小初高、大学PDF教材。
──────────────────────────────

ChinaTextbook is a GitHub repository that aims to provide free access to Chinese textbooks, promoting equal education opportunities. The repository contains a wide range of textbooks, including mathematics for primary, secondary, and university levels.

Key features of this repository include:
- A vast collection of textbooks, covering various subjects and levels
- PDF files for easy access and download
- A mergePDFs-windows-amd64.exe program to merge split files

To use the repository, simply browse through the folders, download the desired textbooks, and use the provided program to merge any split files.

This repository is ideal for students, teachers, and overseas Chinese who want to access Chinese educational resources.

The project is open-source, and contributions are welcome. You can support the project by donating or joining the Telegram community to share your thoughts and ideas.

In short, ChinaTextbook is a valuable resource for anyone seeking free access to Chinese educational materials - and it's completely free!

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🌟 openai/plugins caught my eye on GitHub Trending today.

🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
──────────────────────────────

The openai/plugins repository is a treasure trove of Codex plugin examples, each with its own unique features and use cases. You'll find plugins for popular tools like Figma, Notion, and Expo, as well as plugins for building iOS, macOS, and web apps. Each plugin comes with a plugin.json manifest and may include additional files like skills/, agents/, and hooks.json. The highlighted examples in this repo showcase the potential of Codex plugins, from design systems to app development and deployment. Whether you're a developer or just starting out, this repository has something for everyone. Take a look and get inspired to build your own plugins - the possibilities are endless, and with openai/plugins, you can code your way to creation!

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

💡 refactoringhq/tolaria just hit the trending charts — here's why it matters.

🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
──────────────────────────────

Meet Tolaria, a desktop app for managing markdown knowledge bases on macOS, Windows, and Linux. It's designed for personal knowledge management, company documentation, and storing AI assistant memory.

Key features include:
- files-first approach with plain markdown files,
- git-first with every vault being a git repository,
- offline-first with no accounts or subscriptions needed, and
- open source with a permissive license.

To get started, you can install Tolaria via Homebrew or download the latest release. The app is built with Tauri, React, and TypeScript, and its tech docs provide a detailed overview of the system design and data flow.

Tolaria is perfect for power-users who want to manage their knowledge base efficiently.
One notable takeaway: Tolaria is the ultimate tool for organizing your digital life - it's like having your own personal superpower.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🔥 HunxByts/GhostTrack is trending — and it deserves your attention.

🔗 https://github.com/HunxByts/GhostTrack
📝 Useful tool to track location or mobile number
──────────────────────────────

The GhostTrack tool is a powerful osint or information gathering resource, designed to track locations or mobile numbers. Key features include IP Tracker, Phone Tracker, and Username Tracker, which enable users to gather information from target IPs, phone numbers, and social media usernames. To use GhostTrack, users can clone the repository and install required packages with pip3 install -r requirements.txt, then run python3 GhostTR.py. The tool is suitable for security researchers and enthusiasts.
The takeaway: Track down targets with ease using GhostTrack.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

💡 microsoft/pg_durable just hit the trending charts — here's why it matters.

🔗 https://github.com/microsoft/pg_durable
📝 PostgreSQL in-database durable execution
──────────────────────────────

pg_durable is a PostgreSQL extension that enables long-running, fault-tolerant SQL functions. It allows teams to define workflows in SQL, with the extension checkpointing each step, and resume after crashes, restarts, or failed steps. This approach eliminates the need for external services like cron jobs, workers, queues, and status tables.

Key features include durable execution, SQL-native workflow definition, and database-aware primitives for scheduling and parallel execution. The extension is designed for backend and data engineers, DBAs, and SREs who want to automate runbooks and build data or AI pipelines with durable execution.

SELECT df.start(...) is used to define a workflow, and the extension takes care of executing each step durably. The df namespace provides various functions for managing workflows, including df.start(), df.cancel(), and df.grant_usage().

Technical highlights include zero-infrastructure requirements, as the extension runs as a PostgreSQL extension, and a SQL-native approach, making it easy to define and manage workflows.

The target audience includes teams building data or AI pipelines, and those who want to automate runbooks that must survive restarts and be auditable in SQL.

To get started, you can install the extension using Debian packages or build it from source, and then create the extension in your PostgreSQL database using CREATE EXTENSION pg_durable;.

One-liner takeaway: pg_durable brings durable execution to PostgreSQL, allowing teams to define and run long-running, fault-tolerant SQL workflows without external services.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🚀 Want to accelerate your career in Technology, Cloud, AI, DevOps, Data Engineering, Cybersecurity, Software Development, and Project Management?
At HelloEncyclo, we're building a comprehensive AI-powered learning platform designed to help students, professionals, and career switchers gain practical, industry-relevant skills through structured learning paths.

✅ Expert-curated content
✅ Lifetime access options
✅ Learn at your own pace
✅ Career-focused learning paths
✅ Regular content updates
✅ Affordable pricing

🎉 Exclusive Offer: Get FLAT 45% OFF on all courses using my referral link:
https://lnkd.in/gPdBThvM


📢 Stay updated with new course launches, discounts, learning resources, interview preparation tips, and career guidance:

📲 Telegram Community:
https://t.me/helloencyclo

📲 WhatsApp Community:
https://lnkd.in/g5DVnSt8

Whether you're preparing for your next job, aiming for a promotion, earning certifications, or simply upgrading your skills, HelloEncyclo is here to support

🔍 Deep-diving into mvanhorn/last30days-skill — fresh off the trending list.

🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
──────────────────────────────

Discover the power of /last30days-skill, a cutting-edge AI agent-led search engine that scores results based on upvotes, likes, and real money - not editors. This innovative tool bridges the gap between multiple platforms, including Reddit, X, YouTube, TikTok, and GitHub, to provide a comprehensive view of what's happening in the last 30 days.

Key features include zero config, intelligent search, and the ability to compare tools and understand the world in a way that's not possible with traditional search engines. /last30days can be used before a meeting to get the latest information on a person or company, when something drops to stay on top of the latest news and trends, and to compare tools and make informed decisions.

Technical highlights include a Python pre-research brain that resolves topics and searches the right people and communities, a second judge that scores results for humor, wit, and virality, and cross-source cluster merging that combines similar stories from different platforms.

This tool is perfect for anyone who wants to stay ahead of the curve, including business professionals, researchers, and curious individuals. So why settle for outdated information when you can have the latest insights and trends at your fingertips? Try /last30days today and experience the power of AI-driven search! With /last30days-skill, you'll never be in the dark again - get the truth in 30 seconds or less.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

⚡ RyanCodrai/turbovec is making waves. Here's the full picture.

🔗 https://github.com/RyanCodrai/turbovec
📝 A vector index built on TurboQuant, written in Rust with Python bindings
──────────────────────────────

TurboVec is a Rust vector index with Python bindings, built on Google Research's TurboQuant algorithm. It provides online ingest, faster search than FAISS, and filtering at search time. The library is designed for building Retrieval-Augmented Generation (RAG) systems where privacy, memory, or latency matters.

Key features include:
- TurboQuantIndex for vector indexing
- IdMapIndex for stable external ids
- Hand-written NEON (ARM) and AVX-512BW (x86) kernels for optimized performance
- Pure local operation, with no managed service or data leaving the machine

The library can be used from Python or Rust, with easy integration into popular frameworks like LangChain, LlamaIndex, Haystack, and Agno.

TurboVec achieves high compression ratios and fast search speeds, making it suitable for large-scale applications. The library is designed to be easy to use, with a simple and intuitive API.

One-liner takeaway: TurboVec is a game-changer for RAG systems, offering blazing-fast search, low memory usage, and pure local operation, making it the perfect choice for applications where performance and privacy matter.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🌟 google/skills caught my eye on GitHub Trending today.

🔗 https://github.com/google/skills
📝 Agent Skills for Google products and technologies
──────────────────────────────

The google/skills repository on GitHub is a collection of Agent Skills for various Google products and technologies, including Google Cloud. This repository is under active development, and its main purpose is to provide a set of skills that can be used to interact with Google services.

The repository offers a wide range of key features, including skills for Gemini API, BigQuery Basics, Cloud Run Basics, and more. To use these skills, you can install them using the command: npx skills add google/skills.

From a technical standpoint, the skills are implemented using various programming languages and frameworks. For example:

npx skills add google/skills

This repository is suitable for developers and Google Cloud enthusiasts who want to learn more about Google's products and technologies.

In short, the google/skills repository is a valuable resource for anyone looking to enhance their skills and knowledge of Google products, and the best part is - you can get started with just one command!

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

🌟 refactoringhq/tolaria caught my eye on GitHub Trending today.

🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
──────────────────────────────

Tolaria is a desktop app for managing markdown knowledge bases. It's designed for people who want to organize their notes, documents, and knowledge in a flexible and portable way. With Tolaria, you can create a second brain for your personal knowledge, organize company documents, or even store memory and procedures for AI assistants.

The app is built around several key principles, including files-first, git-first, and offline-first, which ensure that your data is always portable and under your control. Tolaria also supports keyboard-first navigation and is designed for power users who want to get the most out of their workflow.

To get started with Tolaria, you can install it via Homebrew on macOS or download the latest release for macOS, Windows, or Linux. The app is open source and built with Tauri, React, and TypeScript, making it easy to contribute to or run locally.

Some of the technical highlights of Tolaria include its use of markdown files with YAML frontmatter, support for git version control, and a keyboard-first design. The app is also highly customizable, with support for AI agents and a command palette for power users.

Overall, Tolaria is a powerful tool for anyone who wants to manage their knowledge and notes in a flexible and portable way. Whether you're a power user or just looking for a simple way to organize your thoughts, Tolaria is definitely worth checking out.

Takeaway: Tolaria is the ultimate second brain app for anyone who wants to manage their knowledge and notes in a flexible, portable, and powerful way.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe

⚡ Panniantong/Agent-Reach is making waves. Here's the full picture.

🔗 https://github.com/Panniantong/Agent-Reach
📝 Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
──────────────────────────────

Agent Reach is a tool that empowers your AI Agent with internet capabilities, allowing it to read web pages, search Twitter, watch YouTube videos, and more. It's designed to simplify the process of configuring and using various online tools with your AI Agent. With Agent Reach, you can easily install and update tools like twitter-cli, yt-dlp, and rdt-cli, and access various online platforms without needing to manually configure them. The tool is completely free and open-source, with a focus on security and privacy. It's compatible with all AI Agents that can run shell commands, including Claude Code, OpenClaw, Cursor, and Windsurf. To get started, simply tell your AI Agent to 安装 Agent Reach and follow the prompts. Star this project to support its development and maintenance. One-liner takeaway: Agent Reach simplifies internet access for your AI Agent, making it easy to search, read, and interact with online content.

──────────────────────────────
🧠 Channel: https://t.me/GithubRe