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Github Top Repositories
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🌟 HKUDS/CLI-Anything caught my eye on GitHub Trending today.

πŸ”— https://github.com/HKUDS/CLI-Anything
πŸ“ "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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The CLI-Anything project is a game-changer for making software agent-native. Its purpose is to bridge the gap between AI agents and the world's software by creating a universal interface that allows agents to interact with any application. The key features include a CLI-Hub where you can browse, install, and manage community-built CLIs, as well as a pip install cli-anything-hub command to get started.

To use CLI-Anything, simply pip install cli-anything-hub and then cli-hub install <name> to install your desired CLI. You can also contribute your own CLI by opening a PR, and the hub will update instantly. The project has a strong focus on technical highlights such as structured and composable text commands, lightweight and universal design, and self-describing interfaces.

The project is perfect for developers and AI enthusiasts who want to make their software agent-native. With CLI-Anything, you can create a universal interface for your application, making it accessible to a wide range of AI agents. The project has a lot of potential for growth, with a strong community of contributors and a wide range of supported applications.

In summary, CLI-Anything is a powerful tool for making software agent-native, with a strong focus on community contribution and technical highlights. As the project says, "One command line to rule them all" - and with CLI-Anything, you can make any software agent-ready with just one command line. The takeaway: Make any software agent-native with one simple command line.

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🧠 Channel: https://t.me/GithubRe
πŸ”₯ Imbad0202/academic-research-skills is trending β€” and it deserves your attention.

πŸ”— https://github.com/Imbad0202/academic-research-skills
πŸ“ Academic Research Skills for Claude Code: research β†’ write β†’ review β†’ revise β†’ finalize
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The Academic Research Skills repository on GitHub, created by Imbad0202, is a comprehensive suite of tools designed to facilitate academic research and paper writing. The primary purpose of this project is to provide a human-in-the-loop approach, where AI assists researchers in handling mundane tasks, allowing them to focus on high-level thinking and writing.

Key features of the repository include Deep Research, Academic Paper, and Academic Paper Reviewer modes, which cover various aspects of research, from literature reviews to paper writing and peer review. The ars-plan command enables users to engage in a Socratic dialogue to map out their paper structure.

To use the repository, users can install the plugin using the /plugin marketplace add Imbad0202/academic-research-skills and /plugin install academic-research-skills commands. The repository is suitable for academic researchers, students, and anyone looking to streamline their research and writing process.

The project's technical highlights include its integration with Claude Code, a 13-agent research team, and various quality gates to ensure the accuracy and validity of research findings. The repository also provides a
README
file with detailed instructions and examples for users to get started.

In summary, the Academic Research Skills repository is an invaluable resource for academic researchers, providing a comprehensive suite of tools to facilitate research and paper writing. By leveraging the power of AI, researchers can focus on high-level thinking and writing, while the tool handles the grunt work. The takeaway: AI-assisted research tools like Academic Research Skills are revolutionizing the way we conduct research, making it more efficient, accurate, and enjoyable.

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🧠 Channel: https://t.me/GithubRe
πŸ” Deep-diving into obra/superpowers β€” fresh off the trending list.

πŸ”— https://github.com/obra/superpowers
πŸ“ An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology that gives your coding agents a set of composable skills to build and create with ease. The key features of Superpowers include a step-by-step approach to coding, starting with brainstorming and ending with test-driven-development. The workflow is divided into six main stages: brainstorming, using-git-worktrees, writing-plans, subagent-driven-development, test-driven-development, and requesting-code-review.

To use Superpowers, you can install it via various coding agent marketplaces such as Claude Code, Codex CLI, and Gemini CLI. The technical highlights of Superpowers include a Skills Library with various skills such as testing, debugging, and collaboration.

Superpowers is designed for developers and coders who want to streamline their coding process and create high-quality code. With its systematic approach and emphasis on testing, Superpowers is perfect for those who want to take their coding to the next level.
The one-liner takeaway is: Superpowers gives your coding agents the skills they need to build and create with ease and precision.

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🧠 Channel: https://t.me/GithubRe
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πŸ” Deep-diving into anthropics/claude-plugins-official β€” fresh off the trending list.

πŸ”— https://github.com/anthropics/claude-plugins-official
πŸ“ Official, Anthropic-managed directory of high quality Claude Code Plugins.
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The anthropics/claude-plugins-official GitHub repository is a treasure trove for developers, offering a curated directory of high-quality plugins for Claude Code. With two main directories, /plugins for internal plugins developed by Anthropic and /external_plugins for third-party plugins from partners and the community, users can easily find and install plugins that suit their needs.

To get started, plugins can be installed directly from the marketplace via Claude Code's plugin system using the command /plugin install {plugin-name}@claude-plugins-official. For contributors, the repository provides a clear structure for developing and submitting new plugins, with guidelines for internal and external plugins.

Each plugin follows a standard structure, including a plugin.json file for metadata, and optional configurations for MCP servers, slash commands, agents, and skills.

The takeaway: With its vast array of plugins and straightforward installation process, the anthropics/claude-plugins-official repository is a game-changer for anyone looking to supercharge their Claude Code experience!

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🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🌟 rohitg00/agentmemory caught my eye on GitHub Trending today.

πŸ”— https://github.com/rohitg00/agentmemory
πŸ“ #1 Persistent memory for AI coding agents based on real-world benchmarks
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AgentMemory is a persistent memory solution for AI coding agents, allowing them to recall previous conversations and maintain context. It supports a wide range of agents, including Claude Code, Codex CLI, and Gemini CLI, and provides features like confidence scoring, lifecycle management, and hybrid search. Key benefits include improved retrieval accuracy, reduced token usage, and increased efficiency. npm install -g @agentmemory/agentmemory to get started. The solution is built on the iii engine and provides a demo command to seed sample sessions and test recall. With agentmemory, you can say goodbye to re-explaining things to your AI coding agent - it just remembers.

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🧠 Channel: https://t.me/GithubRe
πŸ“Œ Spotted on GitHub Trending: CloakHQ/CloakBrowser β€” let's break it down.

πŸ”— https://github.com/CloakHQ/CloakBrowser
πŸ“ Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
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Meet CloakBrowser, a stealthy Chromium browser that passes every bot detection test. It's not a patched config or JS injection, but a real Chromium binary with fingerprints modified at the C++ source level. Antibot systems score it as a normal browser β€” because it is a normal browser.

Key features include humanize=True for human-like mouse curves, keyboard timing, and scroll patterns, and auto-updating binary with background update checks. It's also free and open source, with no subscriptions or usage limits.

Usage is simple: just pip install cloakbrowser or npm install cloakbrowser, and you're ready to go. The launch() function starts the browser, and you can use the standard Playwright or Puppeteer API.

Technical highlights include 49 source-level C++ patches, covering canvas, WebGL, audio, and more. The binary is verified with SHA-256 checksums to ensure integrity.

CloakBrowser is perfect for data scientists, web scrapers, and automation teams who need to bypass bot detection. With its ease of use and powerful features, it's a game-changer for anyone who needs to interact with websites programmatically.

One-liner takeaway: CloakBrowser makes bot detection disappear, so you can focus on what matters β€” getting the data you need.

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🧠 Channel: https://t.me/GithubRe
⚑ rtk-ai/rtk is making waves. Here's the full picture.

πŸ”— https://github.com/rtk-ai/rtk
πŸ“ CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
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Introducing rtk-ai/rtk, a high-performance CLI proxy that reduces LLM token consumption by 60-90%. This single Rust binary supports over 100 commands and has an overhead of less than 10ms. Key features include smart filtering, grouping, truncation, and deduplication, which are applied per command type to minimize token usage.

To get started, users can install rtk using Homebrew, a quick install script, Cargo, or pre-built binaries. The installation process is straightforward, and the rtk --version command can be used to verify the installation.

Technical highlights of rtk include its ability to filter and compress command outputs before they reach the LLM context. This is achieved through a hook-based system that rewrites Bash commands to their rtk equivalents before execution. The result is a significant reduction in token consumption, making it an ideal solution for developers, data scientists, and anyone working with large language models.

Audience for rtk includes anyone looking to optimize their LLM workflow and reduce token consumption. Whether you're working with Claude Code, Copilot, or other AI tools, rtk can help you achieve your goals.

In summary, rtk-ai/rtk is a powerful tool for reducing LLM token consumption, and its ease of use, flexibility, and high-performance capabilities make it a must-have for anyone working with large language models: rtk your way to token savings today!

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🧠 Channel: https://t.me/GithubRe
πŸ”₯ msitarzewski/agency-agents is trending β€” and it deserves your attention.

πŸ”— https://github.com/msitarzewski/agency-agents
πŸ“ A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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Introducing The Agency: a collection of AI agent personalities, each with unique expertise and deliverables. From engineering to design and sales, these agents can transform your workflow.

Key features include:
- Specialized deep expertise
- Personality-Driven communication styles
- Deliverable-Focused outcomes
- Production-Ready workflows

Usage options:
- Integrate with Claude Code or other tools like GitHub Copilot or Antigravity
- Use as a reference for best practices
- Browse the agent roster and copy/adapt what you need

Technical highlights include:
- Multi-tool integrations
- Production-ready workflows
- Success metrics for evaluation

This repository is perfect for developers, designers, and sales teams looking to augment their workflows with AI-powered agents.

In a nutshell: The Agency is your ultimate AI team, ready to deliver - never sleep, never complain, always deliver!

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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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πŸ’‘ colbymchenry/codegraph just hit the trending charts β€” here's why it matters.

πŸ”— https://github.com/colbymchenry/codegraph
πŸ“ Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode β€” fewer tokens, fewer tool calls, 100% local
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CodeGraph is a game-changer for developers, supercharging tools like Claude Code, Cursor, Codex, and OpenCode with semantic code intelligence. This powerful tool provides a pre-indexed knowledge graph, enabling agents to query instantly instead of scanning files. With CodeGraph, you can enjoy 94% fewer tool calls and 77% faster exploration.

To get started, simply run npx @colbymchenry/codegraph and follow the interactive installer. Initialize your projects with codegraph init -i, and you're ready to roll.

Some key features of CodeGraph include smart context building, full-text search, impact analysis, and framework-aware routes. It supports 19+ languages and is 100% local, ensuring your data never leaves your machine.

CodeGraph is perfect for developers looking to boost their productivity and streamline their workflow. So why wait? Try CodeGraph today and experience the power of semantic code intelligence - your code, supercharged!

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🧠 Channel: https://t.me/GithubRe