Aug 13, 2026 GitHub Trending Board

Success: 17 | Failed: 0Duration: 257s

cathrynlavery/diagram-design

⭐ 14,368

🍴 859

📈 +4,504

HTML

29 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.

💡 AI Summary:

A collection of 27 editorial diagram types for Claude Code, built with self-contained HTML and SVG.

🔧 Tech stack:HTML, SVG, Claude Code

💼 Use case:Developers use this to generate high-quality, editorial diagrams for Claude Code without needing Figma.

semantica-agi/semantica

⭐ 6,606

🍴 696

📈 +727

Python

Graph-Native Infrastructure for Context and Accountable AI Systems

💡 AI Summary:

Graph-native infrastructure for accountable AI systems with full decision provenance and explainability.

🔧 Tech stack:Python, RDF, LPG (Graph Database), Vector Database, Deterministic Reasoning

💼 Use case:Provides deterministic infrastructure for building explainable and auditable AI agents in regulated industries.

anthropics/skills

⭐ 168,999

🍴 20,127

📈 +383

Python

Public repository for Agent Skills

💡 AI Summary:

Anthropic's repository of reusable skills for Claude to perform specialized tasks.

🔧 Tech stack:Python, Markdown

💼 Use case:To provide reusable skills and instructions for Claude to perform specialized tasks like document creation and automatio

cactus-compute/needle

⭐ 4,935

🍴 333

📈 +768

Python

14MB foundation model for tiny devices; phones, wearables, smart home, and robots.

💡 AI Summary:

45M-parameter model optimized for tiny devices, enabling tool calling and structured extraction with minimal memory footprint.

🔧 Tech stack:Python, Simple Attention Network, CQ2-bit (Cactus Quants)

💼 Use case:Deploying AI on resource-constrained devices like phones and robots for tool calling and structured data extraction.

altic-dev/FluidVoice

⭐ 9,839

🍴 663

📈 +187

Swift

Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. A local Wispr Flow alternative. ⭐ helps a ton :) Windows & iOS waitlist open. Linux soon.

💡 AI Summary:

Fastest macOS dictation app featuring on-device STT and local AI enhancement.

🔧 Tech stack:Swift, macOS, Parakeet, 本地 AI 模型

💼 Use case:To provide a private, on-device voice-to-text dictation experience for macOS users.

unslothai/unsloth

⭐ 71,034

🍴 6,405

📈 +354

Python

Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.

💡 AI Summary:

A desktop application for running and training LLMs and diffusion models locally with high efficiency.

🔧 Tech stack:Python

💼 Use case:Run and train AI models locally on personal hardware for privacy and cost savings.

macro-inc/macro

⭐ 2,585

🍴 276

📈 +1,180

Rust

Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.

💡 AI Summary:

Macro is a unified workspace for teams combining email, chat, docs, and tasks with shared AI memory.

🔧 Tech stack:Rust, SolidJS

💼 Use case:A unified operating system for teams to manage email, chat, docs, and tasks without switching tools.

megadose/holehe

⭐ 12,408

🍴 1,667

📈 +166

Python

holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.

💡 AI Summary:

A Python tool to check if an email is registered on various websites and retrieve account information using the forgotten password function.

🔧 Tech stack:Python, httpx, trio, Docker

💼 Use case:OSINT analysts use this tool to find registered accounts on various websites by checking the forgotten password function

smicallef/spiderfoot

⭐ 20,660

🍴 3,314

📈 +278

Python

SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.

💡 AI Summary:

SpiderFoot automates OSINT for threat intelligence and attack surface mapping.

🔧 Tech stack:Python

💼 Use case:Automate OSINT collection to map attack surfaces and gather threat intelligence data.

Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility - enabling flexible model selection, benchmarking, and cost/performance optimization.

💡 AI Summary:

A Rust-based proxy for routing LLM traffic across providers with API compatibility.

🔧 Tech stack:Rust, OpenAI API, Anthropic API, Prometheus

💼 Use case:To route LLM traffic across multiple providers for benchmarking and cost optimization.

holaboss-ai/holaOS

⭐ 6,569

🍴 598

📈 +380

TypeScript

Open-source All in One AI agent workspace. Run any agent — Claude Code, Codex — across your tools (100+ integrations + MCP), apps, browser, and files, with shared memory. Built-in models or BYOK.

💡 AI Summary:

Open-source AI agent workspace running multiple agents with shared memory and local-first storage.

🔧 Tech stack:TypeScript, MCP (Model Context Protocol), AI Agents

💼 Use case:Run multiple AI agents in a unified local workspace with shared memory and flexible model options.

kepano/obsidian-skills

⭐ 45,706

🍴 3,295

📈 +411

Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.

💡 AI Summary:

A collection of agent skills for Obsidian to manage vaults, markdown, bases, and canvas files.

🔧 Tech stack:Obsidian, Markdown, JSON Canvas, Bases, Obsidian CLI

💼 Use case:Teach AI agents to interact with Obsidian vaults using specific skills for markdown, canvas, and bases.

3b1b/manim

⭐ 90,842

🍴 7,529

📈 +204

Python

Animation engine for explanatory math videos

💡 AI Summary:

Python-based engine for creating precise programmatic animations for math videos.

🔧 Tech stack:Python, FFmpeg, OpenGL, LaTeX

💼 Use case:Creating precise programmatic animations for explanatory math videos.

msitarzewski/agency-agents

⭐ 145,173

🍴 23,483

📈 +762

Shell

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.

💡 AI Summary:

A collection of specialized AI agent personalities for coding workflows.

🔧 Tech stack:Shell, Native App (macOS/Linux/Windows)

💼 Use case:Install specialized AI agents into coding tools like Claude Code and Cursor.

Lightricks/LTX-2

⭐ 8,905

🍴 1,406

📈 +201

Python

Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.

💡 AI Summary:

Official Python package for inference and training of the LTX-2 audio-video generative model.

🔧 Tech stack:Python, Diffusion Transformers (DiT), CUDA, Hugging Face, uv

💼 Use case:Generate high-fidelity synchronized audio and video content using the LTX-2 DiT-based model.

lightningpixel/modly

⭐ 5,390

🍴 574

📈 +221

TypeScript

Desktop app to generate 3D models from images using local AI — runs entirely on your GPU

💡 AI Summary:

Desktop application for generating 3D models from images using local AI models running on your GPU.

🔧 Tech stack:TypeScript, Python, Node.js

💼 Use case:Turn any photo into a 3D model using open source AI models running entirely on your GPU.

infiniflow/ragflow

⭐ 88,001

🍴 10,351

📈 +473

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

💡 AI Summary:

Open-source RAG engine integrating advanced retrieval with agent capabilities for enterprise LLM applications.

🔧 Tech stack:Go, Docker, Python/JavaScript

💼 Use case:Transform complex enterprise data into high-fidelity AI systems using RAG and agent capabilities.