AI Repo: NousResearch/hermes-agent

Skyler: Hey everyone, welcome back to Git News A I, where we dig into the hottest A I repositories trending on GitHub! I'm Skyler, and before we dive into today's incredible lineup, huge thanks to our sponsor LimitLess A I for making this show possible. Today we're covering some absolutely game-changing repos - from agents that grow with you to a full M L intern that can actually read papers and ship models! Skyler: Let's kick things off with NousResearch's Hermes Agent, sitting pretty at over 113,000 stars. This isn't just another A I agent - this is what they call "the agent that grows with you," and honestly, that tagline really captures something special here. What makes Hermes Agent stand out is its adaptive learning capabilities. It's not a static tool that you configure once and hope for the best. Instead, it evolves based on how you work, learning your patterns and preferences over time. The recent activity shows they're really focused on improving the user interface, with fixes to voice handlers and fuzzy path matching scoped to your current working directory. This is perfect for developers who want an A I assistant that becomes more useful the more you use it. If you're tired of generic A I tools that feel disconnected from your actual workflow, Hermes Agent might be exactly what you're looking for. The Python codebase is well-maintained and the community is incredibly active. Check the show notes for the link because this one's definitely worth exploring. Skyler: Next up is something a bit different but equally fascinating - coreyhaines31's marketingskills repository. Now you might be thinking, "Skyler, this is about marketing, not A I," but hear me out! This repo is specifically designed to teach marketing skills to Claude Code and A I agents. We're talking about 38 different skills covering everything from conversion rate optimization to copywriting, S E O, analytics, and growth engineering. What's brilliant about this approach is that it recognizes A I agents are only as good as the knowledge and skills we give them. Instead of just throwing marketing tasks at your A I assistant and hoping for the best, this repository provides structured training materials. The recent updates show they're keeping everything current and comprehensive. This is a goldmine for anyone building A I-powered marketing tools or just wanting to enhance their existing A I workflows with better marketing capabilities. If you're working on any kind of business or product-focused A I application, definitely worth checking out. Skyler: Now let's talk about Chip Huyen's A I E book repository, and folks, this is a big deal. Chip Huyen is one of the most respected voices in A I engineering, and this repo contains supporting materials for her upcoming 2025 book on A I Engineering. With over 15,000 stars already, it's clear the community is hungry for these resources. What makes this special is that it's not just theoretical - these are practical resources for A I engineers working in the trenches. The recent updates include study notes and guidance on when to use ChatGPT versus Claude, which shows the level of practical detail we're talking about. The repository is mostly Jupyter notebooks, which means you're getting hands-on, executable examples rather than just documentation. Whether you're a seasoned M L engineer or someone transitioning into A I engineering, this resource is invaluable. Chip has a track record of making complex A I concepts accessible and actionable, so even though it's still a work in progress, it's already packed with insights you can use today. Skyler: Here's where things get really exciting - HuggingFace's M L intern. Yes, you heard that right, it's literally an open-source M L engineer that can read research papers, train models, and ship M L models. This isn't just a code assistant, this is like having a junior M L engineer on your team that never sleeps and is constantly learning. The recent fixes show they're actively working on integration with cloud services like AWS Bedrock through LiteLLM, which means you can run this on serious infrastructure. What's mind-blowing is the scope of what this can do - it's not just generating code snippets, it's actually understanding research papers and implementing the concepts. For M L teams, this could be a game changer for rapid prototyping and experimentation. For individual researchers, it's like having a research assistant that can actually execute on ideas. The Python codebase is well-structured and the HuggingFace team's reputation speaks for itself. This is definitely one to watch closely. Skyler: Finally, let's dive into VoltAgent's awesome agent skills repository. This is a curated collection of over 1000 agent skills that work across multiple platforms - Claude Code, Codex, Gemini C L I, Cursor, and more. What I love about this approach is that it's addressing one of the biggest pain points in A I development right now - skill portability. Instead of building skills for one specific platform and starting from scratch when you switch tools, this repository provides a standardized collection that works everywhere. The recent cleanup and addition of Claude memory kit shows they're actively maintaining and expanding the collection. With over 18,000 stars, it's clear developers are finding real value here. Whether you're building custom agents or just want to enhance your existing A I workflows, this is like having a Swiss Army knife of A I capabilities. The community contributions make it even better because you're getting skills that have been tested and refined by real developers solving real problems. Skyler: And that's a wrap on another episode of Git News A I! Thanks again to LimitLess A I for sponsoring today's show. Don't forget to subscribe wherever you get your podcasts, and check the show notes for links to all the repositories we covered today. Until next time, keep coding and keep discovering!