A highly scalable, general-purpose workflow orchestrator from Netflix that provides workflow-as-a-service for managing massive data and machine learning pipelines.

An AI-powered code generation agent that provides an open-source, model-agnostic alternative to AI IDEs, featuring durable execution and a custom agent framework.

A comprehensive library of ordinary differential equation solvers and utilities for the Julia language, providing high-performance numerical integration for scientific computing.

A Kubernetes operator that automates the deployment and management of Slurm clusters for AI training and HPC, providing automated health checks and efficient GPU utilization.

A high-performance open-source 3D game engine written in C++ featuring advanced Vulkan rendering, hardware ray tracing, and built-in AI integration via an MCP server.

A web-based client for Claude Code that provides a modern interface for managing sessions, searching conversation history, and monitoring tasks in real-time.

An automated pipeline for de novo binder design that uses AlphaFold2 backpropagation, ProteinMPNN, and PyRosetta to create proteins that bind to specific targets.

An open-source, token-efficient AI agent that reduces costs through high cache hit rates and a minimal toolset, supporting any OpenAI-compatible model for coding and general tasks.

A JAX-based library for nonlinear solvers that provides modular tools for root finding, minimisation, fixed points, and least squares.

An encoder-only image segmentation model that repurposes a plain Vision Transformer (ViT) to eliminate the need for complex decoders, offering high speed and accuracy.

torch_musa is a PyTorch extension that adds a **MUSA** backend for Moore Threads GPUs. It mirrors the standard PyTorch API, so you only replace `cuda` with `musa`. The package includes tools for building C/C++ extensions, distributed training via the **mccl** backend, and Docker images for easy setup. It also provides MUSA‑compatible builds of torchvision, torchaudio, and a curated list of other popular PyTorch libraries. Installation can be done from pre‑built wheels or by building from source after installing the MUSA SDK. The project is BSD‑licensed.

PullMD is a self‑hosted service that converts any public URL—including web pages, Reddit/Hacker News threads, PDFs, Office docs, images, audio, and YouTube videos—into clean Markdown. It offers a PWA UI, a REST API, and an MCP streaming endpoint, with optional side‑cars for JavaScript rendering, OCR, and media captioning. Output is token‑efficient: content lives in the body while all metadata (source, timestamps, OCR model, token usage, etc.) is placed in YAML front‑matter. Features include shareable live links, SSRF protection, coverage guard, configurable cache retention, and three authentication modes (open, single‑admin, multi‑user). Deployable via a single Docker‑Compose file with optional Traefik support, it’s aimed at LLM agents, RAG pipelines, and anyone needing privacy‑preserving, ad‑free Markdown extraction.

A persistent, searchable engineering memory system for AI coding agents that reduces redundant context-gathering and token usage by storing durable repository knowledge.

An AI-native network design tool that generates L1/L2/L3 topology diagrams and device tables from structured data or natural language workflows.

A community-driven project providing 79 specialized AI agents across multiple platforms to automate accessibility auditing and enforce WCAG AA standards in code and documents.

A novel neural network architecture that generalizes residual connections using a learnable Delta Operator to dynamically control information erasure and injection across layers.

An MCP server that exposes read-only Apache Doris database capabilities to AI agents, providing a structured and secure way to query and monitor database data.

A lightweight background daemon that connects local AI agents to Telegram and WeChat, allowing users to to monitor and control agents remotely via mobile notifications.

A self-hosted server with a Web UI and OpenAI-compatible API for Resemble AI's Chatterbox TTS family, featuring voice cloning, multilingual support, and audiobook generation.

WebPlotDigitizer is a computer vision assisted tool that extracts numerical data from images of data visualizations for researchers and scientists.

An autonomous AI agent for ethical hacking that uses a detect-then-validate pipeline to discover and prove the reachability of software vulnerabilities.

An intent-driven multi-agent orchestration framework that automates the full software development lifecycle by dynamically planning and executing complex command chains across multiple LLM backends.

A real-time, multilingual speech-to-text system that runs on CPU only, providing low-latency live subtitles, speaker labeling, and translation with under 2GB of RAM.

A multi-agent framework that automates the entire OpenFOAM CFD simulation workflow, from natural language prompts to visualization, with automatic error correction.

A first-response threat hunting tool that performs quick triage of malware samples and IOCs by integrating with multiple sandboxes and threat intelligence services.

A local-first tool for film analysis that extracts frames and subtitles to create AI-assisted narrative structure trees, plot swimlanes, and emotion curves.

A desktop application that runs AI browser agents using a fresh Chromium instance with ported cookies to maintain user sessions.

A Neovim chat interface for AI agents that implements the Agent Client Protocol (ACP), allowing seamless integration with various AI providers and terminal-based sessions.

A Unity integration tool that allows AI agents to autonomously compile, test, and operate Unity projects via a CLI, reducing human intervention in the development loop.

An MCP server that enables AI agents to securely manage multiple SSH remote servers, execute commands, and automate DevOps tasks with per-server security restrictions.

A benchmark and baseline agent for assessing the ability of LLMs to perform root cause analysis by analyzing telemetry data like logs, metrics, and traces.

A collection of 40 specialized plugins for AI coding assistants that provide evidence-tracked guidance and tooling for SAP development across BTP, ABAP, and Fiori.

LLM4AD Next is a Python toolkit that turns a natural‑language problem description into a full, runnable evolutionary‑algorithm search project. An interactive LLM consultant generates the code skeleton, configuration, and evaluator, then built‑in evolutionary methods (IslandGA, Diverse Island GA, EoH, etc.) automatically evolve the generated algorithm. It also offers an advisor to suggest evolution‑ready code blocks, long‑term memory support, Docker images, and an online demo.

An Android application that enables fully offline, private LLM chat with support for voice, image, and camera input using ONNX and LiteRT backends.

A Model Context Protocol server that turns any Odoo 16+ database into an AI-ready interface, enabling LLMs to safely query and manage Odoo data without requiring Enterprise AI modules.

An AI-native E2E testing tool that connects AI agents to apps via MCP, allowing them to test and explore software across 10 platforms using natural language instead of test code.

A C++ toolbox for solving nonlinear optimal control problems, enabling real-time Model Predictive Control (MPC) for robotic systems with limited onboard computation.

A native macOS AI chat client that provides a unified interface for ChatGPT, Claude, Gemini, and local models via Ollama.

A cache management framework for LLMs that reduces inference latency and GPU memory usage by persisting KV caches and implementing sparse attention retrieval.

A marketplace of standalone engineering skills for Claude Code and Codex that provides AI agents with structured domain knowledge and rigorous checklists for professional software engineering tasks.

An AI-powered workspace for creating mathematical animations and static visuals using natural language, powered by Manim and matplotlib.

A JetBrains IDE plugin that exposes an MCP server, allowing AI coding assistants to leverage the IDE's native indexing, semantic analysis, and refactoring tools.

A travel search skill for AI agents that connects them to Fliggy's real-time inventory for flights, hotels, and attractions via a CLI.

A runtime for coding agents that turns terminal-based coding CLIs into programmable headless engines for multi-agent orchestration and autonomous development loops.

ICM (Infinite Context Memory) is a Rust‑based, zero‑dependency binary that provides a shared, searchable SQLite memory store for AI agents. It supports episodic memories with importance‑based decay, permanent knowledge‑graph memoirs, feedback recording, and verbatim session transcripts. Integrated via MCP hooks or a CLI, it works with many popular assistants (Claude, Gemini, Codex, Copilot, etc.) and offers optional ONNX‑Runtime semantic search. Install via Homebrew, a one‑liner script, or Cargo; configure globally or per‑project, then store/recall context across tools without re‑explaining. Experimental (pre‑1.0) but usable today.

vibecosystem is an open‑source package that expands Claude Code into a self‑organising AI development team. It ships 138 specialised agents, 296 reusable skills, 74 TypeScript hooks and 20 behavioural rules. After a one‑line install you can ask Claude Code to “add a feature” and the swarm of agents will plan, code, review, test and learn automatically. Profiles let you enable only the agents you need to save tokens, and a `vibeco` CLI plus a web dashboard give stats, health checks and token‑cost tracking. All data stays locally in `~/.claude/`; no telemetry is sent. The project also supports Cursor, Codex CLI and OpenCode via dedicated install scripts.

A modified GPT-2 model designed to predict the progression and timing of human diseases based on patient health trajectories from the UK Biobank.

A complete Rust SDK for building high-performance coding agents with built-in tool execution, graph memory, and sub-agent orchestration.