📌 Spotted on GitHub Trending: affaan-m/ECC — let's break it down.

🔗 https://github.com/affaan-m/ECC
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC project is a harness-native operator system designed for agentic work, built from real-world multi-harness engineering workflows. It's not just about configurations, but a complete system that includes skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. With 182K+ stars, 28K+ forks, and 170+ contributors, ECC supports 12+ language ecosystems and enables cross-harness agent workflows.

The system is production-ready and works across various AI agent harnesses, including Codex, Claude Code, Cursor, OpenCode, Gemini, Zed, and GitHub Copilot. ECC provides a range of features, including token optimization, memory persistence, continuous learning, and security scanning.

To get started, users can follow the Shorthand Guide, Longform Guide, or Security Guide, which cover setup, foundations, philosophy, and security best practices. The project also offers a dashboard GUI and a range of operator workflows, including brand-voice, social-graph-ranker, and customer-billing-ops.

The ECC community is active, with discussions, sponsorship, and pro subscriptions available. The project is MIT-licensed and will remain free and open-source forever.

In short, ECC is a powerful tool for agentic work that's constantly evolving to meet the needs of its users. Join the community and start building with ECC today - the future of agentic work is here!

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🧠 Channel: https://t.me/GithubRe

🎯 D4Vinci/Scrapling landed on trending. Worth a proper look.

🔗 https://github.com/D4Vinci/Scrapling
📝 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
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Scrapling is an adaptive web scraping framework that streamlines the process of extracting data from websites. Its key features include an intelligent parser that learns from website changes, fetchers that bypass anti-bot systems, and a spider framework for concurrent, multi-session crawls.

Key highlights of Scrapling include:
- Selection methods for precise data extraction
- Fetchers for bypassing anti-bot systems like Cloudflare Turnstile
- Spiders for scalable, concurrent crawls
- Proxy Rotation for automatic rotation of proxies

Technical highlights include:
- Blazing fast crawls with real-time stats and streaming
- StealthyFetcher for fetching websites under the radar
- DynamicFetcher for handling dynamic content

Usage examples include:

from scrapling.fetchers import Fetcher, AsyncFetcher, StealthyFetcher, DynamicFetcher
StealthyFetcher.adaptive = True
p = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True)  
products = p.css('.product', auto_save=True)                                       
products = p.css('.product', adaptive=True)                                         

Audience: Web scrapers, data extraction professionals, and anyone looking to extract data from websites.

Scrapling handles everything from single requests to full-scale crawls, making it an essential tool for anyone looking to extract data from the web.

Scrapling in a nutshell: Scrape smarter, not harder.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into nesquena/hermes-webui — fresh off the trending list.

🔗 https://github.com/nesquena/hermes-webui
📝 Hermes WebUI: The best way to use Hermes Agent from the web or from your phone!
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Hermes Web UI is a lightweight, dark-themed web app interface for the Hermes Agent, a sophisticated autonomous agent that lives on your server. This web UI provides a convenient way to access the agent's features, including chat, sessions, workspace file browsing, and more, all from a web browser.

Key features include a three-panel layout, model and profile controls, a circular context ring for token usage, and a Hermes Control Center for settings and session tools. The web UI also supports light mode, customizable settings, and password configuration.

From a technical standpoint, Hermes Web UI is built using Python and vanilla JavaScript, with no build step, framework, or bundler required. The application is designed to be self-hosted, with support for SSH tunneling for secure access.

The target audience for Hermes Web UI appears to be developers and power users who want a convenient and intuitive way to interact with the Hermes Agent from a web browser. With its robust feature set and flexible configuration options, Hermes Web UI is an attractive choice for anyone looking to get the most out of their Hermes Agent setup.

In short, Hermes Web UI is a powerful tool that puts the full capabilities of the Hermes Agent at your fingertips, from anywhere, at any time - revolutionizing the way you interact with AI.

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🧠 Channel: https://t.me/GithubRe