An implementation of the Model Context Protocol for the Unity Editor, allowing AI assistants to directly manipulate scenes, assets, and editor settings.

An MCP server that enables AI assistants to manage Meta Ads campaigns, creatives, and performance analysis through natural conversation.

An AI-powered pentesting framework for Claude Code that uses parallel specialized agents to audit smart contracts and web APIs, validating findings through a multi-gate process to generate submission-ready bug bounty reports.

A Go library that integrates llama.cpp for local LLM and VLM inference with hardware acceleration, requiring no CGo or external servers.

A high-performance training framework for LLMs, VLMs, diffusion, and embodied models that provides significant throughput speedups over open-source baselines.

A Docker Compose template that bundles n8n, Ollama, and Qdrant to quickly set up a self-hosted, local AI development environment for building AI agents and workflows.

dario is a zero‑dependency Node.js proxy that runs locally (http://localhost:3456) and forwards any Anthropic‑ or OpenAI‑compatible request to the Claude or ChatGPT subscription you’ve logged into. By pointing all of your AI‑powered tools at the same endpoint, you avoid per‑tool token billing, get automatic pooling of multiple seats, and enjoy built‑in fail‑over when a plan hits its limit. The proxy translates between Anthropic and OpenAI request formats, requires no telemetry, and is fully open‑source.

An autonomous DevOps agent that manages infrastructure and applications 24/7, providing PaaS-like automation with security guardrails to prevent production mishaps.

An AI training analysis and metric observation platform that provides visualization, automatic logging, and experiment comparison for model training teams.

A set of OpenTelemetry-compatible conventions and plugins for tracing and monitoring AI applications, providing standardized observability for LLMs, agents, and RAG systems.

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 powerful search engine plugin for Obsidian that uses the BM25 algorithm to provide instant, relevance-ranked search across notes, PDFs, and images.

An evaluation harness for testing AI agents on deep-research benchmarks using a standardized ReAct setup.

An integrated operational workbench for managing ChatGPT Team accounts, automating account import, seat distribution via redemption codes, and warranty management.

A security-oriented runtime that allows AI agents to execute WebAssembly Components as tools via the Model Context Protocol (MCP).

An MCP server that converts PDFs, images, audio, Office documents, and web content into Markdown format for easier ingestion by AI models.

A Kubernetes-native control plane for shared AI computing clusters that simplifies GPU resource governance, workload scheduling, and asset management.

A production-ready AI gateway that provides a unified, OpenAI-compatible interface for routing, monitoring, and multi-tenant management across multiple AI providers.

A Bayesian Design of Experiments toolbox for efficiently finding optimal parameter configurations in complex search spaces, widely used for chemical and materials optimization.

An asynchronous FastAPI-based RAG API that uses pgvector or MongoDB to provide ID-based document indexing and retrieval with built-in ownership security.

AgentHound is an open‑source offensive security framework that scans AI‑agent infrastructure from a foothold, harvests credentials, validates real access, and builds a graph‑based attack surface. It works via a static collector binary (active or stealth mode) and an optional Neo4j‑backed server for visual analysis.

A DOCX-native document engine that allows for browser-based editing and programmatic automation via a unified API, specifically designed to be agent-ready.

A tool that simulates DLSS Upscaling and Frame Generation on any DirectX 12 compatible GPU for games that natively support DLSS2 and DLSS3.

A Rust-native, drop-in replacement for Apache Spark that provides significantly faster execution and lower infrastructure costs while maintaining full compatibility with Spark SQL and the DataFrame API.

A composable workflow development framework and toolkit for building custom AI workflow platforms with visual canvases and variable management.

A high-performance Rust-based tokenizer for language modeling that provides up to 1000x speedup over HuggingFace tokenizers by using SIMD-optimized pretokenization.

A macOS menu bar app for running local LLMs using llama.cpp, featuring zero-configuration setup and hardware-aware model recommendations.

A plugin that provides AI coding agents with curated Azure expertise and over 200 execution tools via MCP to perform real cloud infrastructure tasks.

A workflow and set of instructions for coding agents that replaces manual code review with a rigorous automated testing gauntlet and an evidence report.

A tool that lets AI agents control your actual browser and macOS apps using your existing sessions and logins, avoiding the detection and setup hurdles of traditional automation.

An open-source UI component library built on Ant Design specifically designed for creating AIGC web applications.

The official TypeScript/JavaScript SDK for LM Studio, enabling developers to integrate local LLMs into applications with advanced model management and agentic capabilities.

A command line tool and VS Code extension for versioning data and ML models, tracking experiments, and managing reproducible ML pipelines.

A lightweight, self-hosted database workspace for exploring, editing, and querying data with optional AI-powered natural language interfaces.

An automated AI code review tool that integrates with GitLab to provide intelligent feedback on Merge Requests and commits using various LLMs.

A collection of high-performance GPU kernels for deep learning operations like RMSNorm and Softmax, implemented using CuTe-DSL for modern NVIDIA GPUs.

An AI-powered code review tool that integrates into CI/CD pipelines to provide inline comments, summaries, and context-aware feedback across various VCS platforms.

A local token consumption and cost tracking tool for AI agents like Claude Code, Codex, and Kimi Code, featuring real-time status bars and detailed usage analytics.

A CLI proxy that enables Claude Code to work with any AI model, including local models and existing AI subscriptions from OpenAI, Google, and others.

An MCP server that gives AI agents structured access to Azure DevOps for managing work items, repositories, and pipelines.

A modeling framework for high-performance symbolic-numeric computation used in scientific computing and scientific machine learning to optimize and solve complex equation-based models.

Orange is a visual data mining and visualization toolbox that allows users to explore and analyze data through a workflow-based interface without requiring programming skills.

Paperless‑AI is an open‑source extension for the self‑hosted document manager Paperless‑ngx. It automatically classifies new documents, adds AI‑generated titles/tags, and builds a vector index so you can ask natural‑language questions across your whole archive (RAG chat). It works with any OpenAI‑compatible model—including local Ollama servers—and ships as a Docker image with a simple web UI for configuration and manual processing.

An enterprise-grade AIOps platform that uses multi-agent AI collaboration to automate the full cycle of alert diagnosis, human-approved repair, and verification.

A unified CLI for managing local AI skills, browser automation via a Chrome extension, and terminal-based AI chat.

A UI extension for the Pi editor that adds a customizable powerline status bar, a persistent bash mode, and AI-themed loading messages.

An open-source, universal catalog for the unified governance and security of multimodal data and AI assets across various formats and compute engines.

PySR is a high-performance symbolic regression tool that finds interpretable mathematical equations to fit datasets, providing a transparent alternative to black-box ML models.