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🔍 Deep-diving into anthropics/claude-plugins-official — fresh off the trending list.

🔗 https://github.com/anthropics/claude-plugins-official
📝 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

🌟 rohitg00/agentmemory caught my eye on GitHub Trending today.

🔗 https://github.com/rohitg00/agentmemory
📝 #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

📌 Spotted on GitHub Trending: CloakHQ/CloakBrowser — let's break it down.

🔗 https://github.com/CloakHQ/CloakBrowser
📝 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 — 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 — getting the data you need.

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🧠 Channel: https://t.me/GithubRe

https://t.me/mira?start=ref_148350890

،The best, almost free, and officially verified AI agent on Telegram

⚡ rtk-ai/rtk is making waves. Here's the full picture.

🔗 https://github.com/rtk-ai/rtk
📝 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

🔥 msitarzewski/agency-agents is trending — and it deserves your attention.

🔗 https://github.com/msitarzewski/agency-agents
📝 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

💡 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 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

⚡ multica-ai/andrej-karpathy-skills is making waves. Here's the full picture.

🔗 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 provides a set of guidelines to improve the behavior of Claude Code, a coding agent. Inspired by Andrej Karpathy's observations on the pitfalls of Large Language Models (LLMs) in coding, these guidelines aim to address issues such as wrong assumptions, overcomplication, and lack of clarity. The guidelines are based on four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution.

The guidelines can be installed as a Claude Code plugin or added to a project's CLAUDE.md file. They provide a framework for LLMs to loop until they meet specific goals, reducing the need for constant clarification. The guidelines are designed to be merged with project-specific instructions and can be customized to fit the needs of a particular project.

For example, to install the guidelines as a Claude Code plugin, you can use the following commands:

/plugin marketplace add forrestchang/andrej-karpathy-skills
/plugin install andrej-karpathy-skills@karpathy-skills

These guidelines are working if you see fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clean, minimal PRs. Overall, the multica-ai/andrej-karpathy-skills repository provides a valuable resource for improving the behavior of coding agents and reducing costly mistakes. Give your LLMs success criteria and watch them go - it's that simple!

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🧠 Channel: https://t.me/GithubRe