Github Top Repositories

📌 Spotted on GitHub Trending: citrolabs/ego-lite — let's break it down. 🔗 https://github.com/citrolabs/ego-lite 📝 The fastest browser for AI agents to run web automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config. ────────────────────────────── Introducing ego lite, the fastest browser for AI agents to run web automation. This innovative browser allows you and your AI agents to work in parallel, with agents running multiple browser tasks in their own dedicated Spaces, while your tabs remain untouched. Key features include a code base that enables faster runs with fewer tokens, a dedicated Space for every agent, and the ability for agents to multitask in parallel workspaces. The browser also features the strongest page Snapshot on the market and allows any agent to drive it through the ego-browser skill. Usage is straightforward: simply download and install the ego lite app, add the ego-browser skill, and start running tasks with your agent. The browser is designed for use with any agent, including Claude Code, Codex, and Cursor. Technical highlights include a kernel-level customization that produces high-quality page snapshots and a compressed semantic input that enables faster task completion. The browser also stores data locally, ensuring your browsing data remains private. Audience: ego lite is designed for anyone who uses AI agents for web automation, including developers, researchers, and businesses. With its fast and efficient workflow, ego lite is the perfect tool for those looking to streamline their web automation tasks. In a nutshell, ego lite is the ultimate browser for AI-powered web automation - it's not just a browser, it's a productivity powerhouse. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into alibaba/open-code-review — fresh off the trending list. 🔗 https://github.com/alibaba/open-code-review 📝 Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible. ────────────────────────────── Meet OpenCodeReview, an AI-powered code review CLI tool that's been battle-tested by tens of thousands of developers at Alibaba Group. This open-source project combines deterministic engineering with an agent hybrid approach to provide precise and efficient code reviews. Key features include: - Precise file selection and smart file bundling for efficient reviews - Scenario-tuned prompts and toolsets for effective agent interactions - Support for multiple programming languages and integrated development environments (IDEs) To get started, simply install the ocr command using npm install -g @alibaba-group/open-code-review, configure your LLM provider and model, and run ocr review to start reviewing your code. Technical highlights include: -

ocr config provider

and

ocr config model

for easy setup -

ocr review

and

ocr scan

for flexible review options This project is perfect for developers, devops teams, and organizations looking to streamline their code review process. In a nutshell, OpenCodeReview is the perfect tool for any developer looking to level up their code review game - it's like having a personal code reviewer at your fingertips! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 block/buzz is trending — and it deserves your attention. 🔗 https://github.com/block/buzz 📝 A hive mind communication platform ────────────────────────────── Buzz is a self-hostable workspace where humans and AI agents collaborate in the same rooms. It's built on a Nostr relay, where every message, reaction, and event is a signed event in one log. This allows for a unified experience, with agents able to perform tasks like opening repos, sending patches, and reviewing code, all while maintaining a transparent audit trail. Key features of Buzz include: * Agents that can search six months of history and post relevant threads * The ability to triage bugs without giving agents full access to the kingdom * Feature branches that can be turned into rooms for collaboration * A search function that spans conversations, patches, workflows, and approvals * Agents that can run workspaces, not just participate in them From a technical standpoint, Buzz is built using a variety of technologies, including Rust, JavaScript, and Postgres. The architecture is designed to be modular, with a focus on scalability and flexibility. The target audience for Buzz appears to be developers and teams looking to collaborate on projects, with a focus on those interested in AI-powered tools and workflows. Overall, Buzz aims to provide a seamless and transparent collaboration experience, where humans and agents can work together in a shared space. One-liner takeaway: Buzz is redefining collaboration by bringing humans and AI agents together in a single, transparent workspace. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet OtterMind/Chat2DB: a gem from today's GitHub trending list. 🔗 https://github.com/OtterMind/Chat2DB 📝 🔥🔥🔥 AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more. ────────────────────────────── Chat2DB is an AI-powered database client and SQL workspace designed for developers, DBAs, analysts, and data teams. It supports 30+ databases, including MySQL, PostgreSQL, and MongoDB, and offers features like SQL editing, completion, and execution. The platform also includes an AI assistant that can generate, explain, and optimize SQL queries in natural language. To use Chat2DB, you can download the desktop app or run it via Docker. The platform provides a quick start guide and supports multiple languages, including English, Chinese, Japanese, Spanish, and Korean. From a technical perspective, Chat2DB uses AES-256-GCM encryption to secure stored datasource passwords and AI model API keys. The platform also offers a CLI with MCP support and supports custom JDBC drivers. Chat2DB is designed for a wide range of users, from individual developers to large data teams. Whether you're looking for a powerful database client or a collaborative SQL workspace, Chat2DB has the features and flexibility you need. In short, Chat2DB is the ultimate database client and SQL workspace for anyone looking to streamline their workflow and take their data analysis to the next level: Chat2DB - where data meets AI. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: diegosouzapw/OmniRoute — let's break it down. 🔗 https://github.com/diegosouzapw/OmniRoute 📝 Never stop coding. Free MIT AI gateway: one endpoint, 290+ providers (90+ free), 500+ models — Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributors ────────────────────────────── OmniRoute is a free AI gateway that connects to 250 AI providers, with 90+ free tiers, allowing you to access multiple AI tools through one endpoint. It offers ~1.6B free tokens/month, with the possibility of up to ~2.1B in the first month with signup credits. Key features include RTK + Caveman compression, which saves 15-95% tokens, and 18 routing strategies. OmniRoute is available in 42+ languages and can be used with various CLIs and coding agents. Its purpose is to simplify the use of multiple AI providers, making it easier to manage and optimize AI workflows. With OmniRoute, you can focus on coding without worrying about AI provider limitations. Start using OmniRoute today and streamline your AI development process. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 Lordog/dive-into-llms caught my eye on GitHub Trending today. 🔗 https://github.com/Lordog/dive-into-llms 📝 《动手学大模型Dive into LLMs》系列编程实践教程 ────────────────────────────── Dive into LLMs is a free, open-source tutorial series on large language models (LLMs). The project aims to provide a hands-on programming guide for LLMs, covering topics such as fine-tuning, prompting, and knowledge editing. The series includes practical exercises and real-world examples to help learners quickly get started with LLMs. The tutorial series consists of multiple chapters, each focusing on a specific aspect of LLMs, such as: - 微调与部署 (Fine-tuning and Deployment) - 提示学习与思维链 (Prompt Learning and Thought Chain) - 知识编辑 (Knowledge Editing) - 数学推理 (Mathematical Reasoning) The project also features a new series of courses, "大模型开发全流程" (Large Model Development Full Process), developed in collaboration with Huawei's Ascend community. This series provides a comprehensive guide to developing and applying LLMs, including PPT, experiment manuals, and videos. The tutorials are designed for students, researchers, and developers who want to learn about LLMs and their applications. The project is open to contributions and welcomes feedback and discussions. Key takeaway: With Dive into LLMs, you can quickly dive into the world of large language models and start building your own LLM-powered projects! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 mattpocock/skills landed on trending. Worth a proper look. 🔗 https://github.com/mattpocock/skills 📝 Skills for Real Engineers. Straight from my .agents directory. ────────────────────────────── The mattpocock/skills GitHub repository offers a collection of skills designed to enhance the productivity and effectiveness of real-world engineering tasks. These skills are small, easy to adapt, and composable, allowing developers to work seamlessly with any model. The repository provides a range of skills, including /grill-me, /grill-with-docs, and /tdd, which help developers to align with the agent, build a shared language, and implement robust testing practices. To get started, users can run the skills.sh installer and follow the quickstart guide. The repository also offers a native Claude Code plugin for a plug-and-play installation. The skills are designed to be used by real engineers to tackle common failure modes in software development, such as misalignment, verbosity, and poor code quality. The skills are categorized into user-invoked and model-invoked skills, with the former being reachable only when invoked by the user, and the latter being invokable by the user or the agent. Some of the key skills include ask-matt, grill-with-docs, and improve-codebase-architecture, which help developers to navigate the skills, build a domain model, and improve the codebase architecture. Overall, the mattpocock/skills repository provides a valuable resource for developers looking to improve their productivity and effectiveness in real-world engineering tasks. With its flexible and adaptable skills, it's an essential tool for any developer looking to take their skills to the next level - and with these skills, you'll be coding like a pro in no time! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet chrislgarry/Apollo-11: a gem from today's GitHub trending list. 🔗 https://github.com/chrislgarry/Apollo-11 📝 Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules. ────────────────────────────── The Apollo-11 GitHub repository is a collection of the original Apollo 11 source code for the Command Module (Comanche055) and Lunar Module (Luminary099). The code has been digitized from original scans and is available in multiple languages. The repository's goal is to provide an accurate representation of the original source code, and pull requests are welcome to correct any discrepancies. To compile the original source code, you can use Virtual AGC. The repository also includes information on attribution, contract, and approvals for the AGC program. The Apollo-11 repository is a valuable resource for space enthusiasts, software developers, and historians interested in the Apollo 11 mission. You can explore the repository and its contents, including the Comanche055 and Luminary099 source code, as well as the CONTRACT_AND_APPROVALS.agc file. Takeaway: The Apollo-11 repository is a piece of space history that's now open-source and waiting to be explored. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔥 CoreBunch/Instatic is trending — and it deserves your attention. 🔗 https://github.com/CoreBunch/Instatic 📝 The open-source alternative to Webflow, Framer and WordPress. Agentic self-hosted visual CMS outputting clean static pages. Users, roles, plugins, content, database, it's all there. ────────────────────────────── Instatic is a self-hosted CMS that combines a visual editor, content engine, and publisher in one Bun server. It generates clean, semantic HTML and compact CSS, with no framework runtime or builder attributes. Key features include a canvas editor, Core Framework design-token engine, visual components, templates, loops, forms, and an AI agent that edits pages. Deployment options include one-click deployment to Railway, Render, or Docker/VPS, with guides for VPS, Postgres, HTTPS, and backups. Instatic is suitable for developers, designers, and content creators who want a self-hosted CMS with a high degree of customizability and control. With Instatic, you can own your site and love building it. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 ruvnet/RuView caught my eye on GitHub Trending today. 🔗 https://github.com/ruvnet/RuView 📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. ────────────────────────────── RuView is a WiFi sensing platform that transforms radio signals into spatial intelligence, allowing you to detect people, track movement, and monitor rooms through walls, without cameras or wearables. Key features include presence and occupancy detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring. Usage is straightforward, with options for Docker, ESP32-S3 hardware, or a full system with Cognitum Seed. Technical highlights include edge intelligence, multi-frequency mesh scanning, and 3D point cloud fusion. This project is suitable for developers, researchers, and smart home enthusiasts. With RuView, you can turn ordinary WiFi into a contactless sensor, making it a game-changer for various applications. RuView is all about revolutionizing spatial intelligence with WiFi. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: yorukot/superfile — let's break it down. 🔗 https://github.com/yorukot/superfile 📝 Pretty fancy and modern terminal file manager ────────────────────────────── Superfile is an open-source project that provides a powerful file management system. Its purpose is to make file operations more efficient and convenient. The key features of superfile include a user-friendly interface, support for various file systems, and customization options. To use superfile, you can install it on your system using the provided installation scripts or packages. The project supports macOS, Linux, and Windows operating systems. Once installed, you can start superfile using the spf command. From a technical standpoint, superfile is built using golang and provides a build.sh script for compiling the source code. The project also includes a range of plugins and themes that can be used to extend its functionality and customize its appearance. Superfile is designed for developers and power users who need a flexible and customizable file management system. The project is community-driven and welcomes contributions from developers and users alike. In summary, superfile is a powerful and customizable file management system that is perfect for developers and power users - give it a try and take your file operations to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ citrolabs/ego-lite is making waves. Here's the full picture. 🔗 https://github.com/citrolabs/ego-lite 📝 The best browser for both you and your AI agents work in parallel. ────────────────────────────── Introducing ego lite, a revolutionary browser designed for humans and AI agents to work together in parallel. This browser allows you to work on your tasks while your AI agents run multiple browser tasks in their own isolated Spaces, increasing efficiency and reducing collisions. To get started with ego-lite, simply download the macOS app or add the ego-browser skill using npx. Then, run your first task by typing /ego-browser followed by your desired action. Some of the key features of ego-lite include a dedicated Space for every agent, multitasking capabilities, and the strongest page Snapshot on the market. The browser also offers reusable skills, compressed semantic input, and controllable external agents. Technical highlights of ego-lite include its code base, not CLI base, for faster runs with fewer tokens on complex tasks, and its ability to inherit Chrome's data. The browser is designed for daily use and is free, with a MIT License. Audience for ego-lite includes anyone looking to streamline their workflow with AI agents, including developers, researchers, and businesses. In summary, ego-lite is a game-changer for anyone looking to work efficiently with AI agents. With its unique features and technical capabilities, it's an essential tool for anyone looking to take their productivity to the next level: Work smarter, not harder, with ego lite. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe