Trending Open Source Projects
Discover trending open source projects with rapid star growth. AI summaries help you stay ahead of the curve.
SongGeneration – LeVo Open‑Source Music Model (NeurIPS 2025)
Discover SongGeneration, the open‑source version of LeVo, a state‑of‑the‑art neural music generator that can produce full‑length songs with vocals and accompaniment in seconds. With multiple pretrained checkpoints, a Gradio UI, Docker support, and comprehensive installation guides, developers and hobbyists can dive straight into generating high‑fidelity tracks or experiment with multilingual lyrics. This article walks you through the repository’s structure, key features, how to set up the environment, run inference, and use the handy prompts and lyrics formatting rules. Whether you’re building a music app or just curious about AI‑driven composition, SongGeneration offers a ready‑to‑use platform that’s as powerful as it is accessible.
Deploying the Ralph Wiggum Technique: A Step‑by‑Step Tutorial
If you want to build AI software more quickly and reliably, learn how Geoff Huntley’s Ralph Wiggum technique turns a single LLM into an autonomous developer. This guide walks you through the three‑phase workflow, shows the two prompt templates for planning and building, and hands you a ready‑to‑run bash loop that automatically commits and pushes each iteration. You’ll see how to structure specs, generate a smart implementation plan, and use backpressure with tests. By the end you’ll be able to set up the repo, run the loop on any project, and trust the LLM to steer itself toward the final product while keeping your codebase clean and version‑controlled.
ComfyUI‑GGUF: Run Low‑Bit Models on Your GPU
Learn how to leverage ComfyUI‑GGUF, an open‑source extension that adds GGUF quantization support to the popular ComfyUI workflow. By loading quantized models in the lightweight GGUF format, you can run recent diffusion architectures such as Flux 1‑Dev or Stable Diffusion 3.5 on modest GPUs while dramatically reducing VRAM usage. This article walks through the installation prerequisites, how to clone the repo into your custom_nodes folder, install the gguf dependency, and replace the standard model loader with the GGUF Unet loader. It also covers pre‑quantized models, experimental LoRA support, and platform‑specific nuances. By the end, you’ll be ready to run cutting‑edge AI models at a fraction of the cost.
Automate Obsidian Notes with obsidian-skills for Claude & Codex
Meet obsidian‑skills, the open‑source library that lets Claude and Codex turn your Obsidian vault into a smart workspace. By following the Agent Skills specification, it supports plain‑text file creation, Obsidian‑style Markdown, and JSON canvas editing. Install it straight from the Obsidian plugin marketplace or drop the files into your /.claude or ~/.codex/skills folders. In just a few clicks, you’ll be able to ask Claude “create a new meeting note” or Codex “format the last blog post” and watch the changes happen instantly. Boost productivity, reduce manual typing, and keep everything in one place.
OpenWork: The Open-Source Claude Cowork Alternative
OpenWork delivers a clean, guided workflow for knowledge workers by wrapping OpenCode in a user‑friendly desktop app. With workspace selection, real‑time execution plans, permission prompts, reusable templates, and a skill manager, it transforms complex AGI orchestration into a product‑like experience. Built with Tauri, TypeScript, and Rust, OpenWork runs locally or remotely, supports live streaming via SSE, and keeps everything auditable. This guide walks you through installation, architecture, key features, and how OpenWork bridges the gap between developer‑centric tooling and everyday productivity needs. Whether you’re a solo writer or a small team, discover how OpenWork makes agentic work feel like a polished app rather than a terminal.
CallMe: Claude Code Plugin for Phone Calls—Quick Setup
Calling a human from Claude is easier than ever with CallMe, a lightweight open‑source plugin that connects Claude Code to your phone via Telnyx or Twilio. This guide walks you through all the steps you need: setting up a phone number, configuring environment variables, creating an ngrok tunnel, and running the local MCP server. Learn how to use the built‑in tools like `initiate_call`, `continue_call`, and `speak_to_user`, and get tips on costs, troubleshooting, and scaling the solution. Whether you’re a developer or a casual Claude user, you’ll discover how to keep your team in the loop without manual follow‑ups.
Claude‑Cowork: Open‑Source Desktop AI Assistant for Developer Productivity
Discover Claude‑Cowork, an open‑source desktop AI application that turns Claude into a hands‑on assistant for coding, file management, and any task you can describe. Built on TypeScript and Electron, it integrates seamlessly with Claude Code, giving developers visual feedback, session tracking, and easy access to tool outputs without leaving their IDE. The article walks through installation, quick‑start commands, key features, and how to customize it for your projects, making it a must‑add to any developer’s toolkit.
Openwork: AI Desktop Agent for File & Workflow Automation
Openwork is a free, MIT‑licensed AI desktop agent that automates file management, document creation and browser workflows—all on your local machine. With support for OpenAI, Anthropic, Google, xAI and Ollama, it gives you full privacy control, no data sent to the cloud and the ability to choose exactly which folders the agent can touch. Learn how to install it, configure local models, craft custom skills and streamline your daily tasks with this powerful, open‑source tool.
Pocket‑TTS: Lightweight CPU‑Only Text‑to‑Speech Library
Discover Pocket‑TTS, an ultra‑compact, CPU‑friendly TTS solution that eliminates GPU dependencies and web API calls. Learn how to install it with a single pip or uv command, clone voices from wav files, serve a local HTTP server for instant audio streaming, and integrate it into Python projects or Colab notebooks. With 100M‑parameter models running on 2 cores, Pocket‑TTS delivers ~200 ms latency and 6× real‑time speed on modern CPUs. This guide covers setup, voice management, CLI usage, and best practices, making it ideal for developers and hobbyists looking to embed TTS in small devices or edge environments.
Nanocode: A Tiny, Zero‑Dependency Python AI Assistant
Meet Nanocode – a lightning‑fast, single‑file Python AI assistant that brings Claude‑style agentic loops to your terminal without any heavy libraries. With built‑in tools for reading, writing, editing, searching and shell execution, Nanocode lets you experiment with AI automation on any system. Learn how to set it up, run it with Antropic or OpenRouter, and extend its toolset in just a few lines of code. Whether you’re a curious developer or a data‑science enthusiast, Nanocode shows how powerful AI can be delivered in a minimal, portable package.