AI Repos Worth Watching
GitHub's trending AI repos ranked and scored. Updated daily.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
An agentic skills framework & software development methodology that works.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
Collection of publicly available IPTV channels from all over the world
Production-grade engineering skills for AI coding agents.
Learn it. Build it. Ship it for others.
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
A skill file for removing AI tells from prose
OpenAI Plugins
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
The agent that grows with you
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
Hermes WebUI: The best way to use Hermes Agent from the web or from your phone!
open-source healthcare ai
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
The open alternative to Salesforce, designed for AI.
🔍 Simulate LLM inference performance to identify bottlenecks and optimize models with InferSim, a lightweight and dependency-free Python tool.
InferSim is a lightweight Python tool for simulating and analyzing large language model (LLM) inference performance to find bottlenecks and help optimize models.
🌐 Run GGUF models directly in your web browser using JavaScript and WebAssembly for a seamless and flexible AI experience.
A JavaScript and WebAssembly tool enables running GGUF LLM models directly in web browsers for flexible AI inference without backend dependencies.
🤖 Explore CraftGPT, a simple language model for Minecraft, trained to generate unique conversations using the TinyChat dataset.
CraftGPT is a simple language model for Minecraft that generates unique conversations using the TinyChat dataset.
Experimental general-purpose SIGER LLM built from scratch with SSM architecture, LoRA fine-tuning, evaluation and optimization pipelines, with Lampung Dialek O as an early low-resource language test case.
An experimental general-purpose SIGER large language model (LLM) has been developed from scratch using state-space model (SSM) architecture with LoRA fine-tuning, targeting low-resource languages such as Lampung Dialek O.
🧠 Explore AI agents with this comprehensive guide, covering core architecture, key technologies, and resources to build advanced intelligent applications.
This GitHub repository offers a comprehensive guide on AI agents, detailing core architectures, key technologies, and resources to develop advanced intelligent applications.
⚡️ The "1-Minute RAG Audit" - Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, async, visual reports.
RagScore is a tool for quickly generating QA datasets and evaluating Retrieval-Augmented Generation (RAG) systems with privacy-first features and async visual reports in common environments like Colab and Jupyter.
📄 Transform your PDF documents into actionable insights with this RAG-based Question-Answering App for efficient and accurate responses.
A RAG-based question-answering system is provided to extract insights from PDF documents, leveraging LLMs and retrieval methods for accurate responses.
llama.cpp fork: TurboQuant KV cache (ktq+vtq, 1-4 bit, 83% smaller at f16 quality, 100k+ ctx on 12GB GPU) + sparse fine-tuning for hybrid MoE+SSM models (Qwen3.5/3.6-A3B, no Mamba backward needed). Turing-tuned Vulkan path.
A llama.cpp fork introduces TurboQuant KV cache enabling 1-4 bit quantization that reduces memory size by 83% while maintaining f16 quality, supports 100k+ context tokens on 12GB GPUs, and adds sparse fine-tuning for hybrid MoE+SSM models with a Vulkan inference path optimized for Turing GPUs.
This GitHub repository provides a JavaScript and Python-based implementation for scraping data and integrating it with Retrieval-Augmented Generation (RAG) techniques using vector databases like ChromaDB for AI-enhanced information retrieval.
Study group resources for AI development tools, focusing on LLMs, GenAI, and Agent architectures including Model Context Protocol (MCP)
A GitHub repository curating study group resources on AI development tools, focusing on LLMs, generative AI, agent architectures, and the Model Context Protocol (MCP).