An open-source semantic layer that defines metrics and business logic once in code and exposes them via APIs for BI tools and AI agents.

Model Context Protocol (MCP) is an open standard that provides a universal way for AI models to connect to data sources and tools, reducing the need for custom integrations.

An open-source AI gateway that provides a unified API to route requests to 1,600+ LLMs and multi-modal models, featuring automatic retries, fallbacks, and guardrails.

An open-source control plane powered by Envoy that provides a unified, OpenAI-compatible API for managing traffic, routing, and quotas across multiple AI providers and self-hosted models.

DeepWiki-Open is an automated tool that analyzes code repositories to generate interactive wikis, visual diagrams, and guided codemaps for documentation.

A collection of distilled software engineering rules from classic programming books designed as project-level instructions to guide AI coding agents in producing high-quality architecture and code.

Terminal-Bench is a continuous benchmark for measuring the capabilities of frontier AI agents using a diverse and evolving set of difficult tasks.

A library for guaranteeing structured outputs from LLMs by constraining generation to match specific Python types or Pydantic models.

XRAG is an open‑source Python framework that benchmarks the individual components of Retrieval‑Augmented Generation (RAG) pipelines. It offers modular plug‑ins for retrievers, embeddings, LLMs, and orchestrators, supports traditional IR metrics plus LLM‑based quality scores, provides a CLI (`xrag-cli`) and a Web UI, and can run as a REST service. Install via PyPI, configure with `config.toml`, and use commands like `xrag-cli run`, `xrag-cli webui`, or `xrag-cli api` to evaluate or serve RAG systems.

An MCP server that enables AI agents to natively control the Windows OS, perform UI automation, and manage files without needing computer vision.

A collection of reusable AI agent skills that enable AI assistants to perform Unity CLI operations like installation and project management.

A multi-stage serving runtime for omni, speech, and TTS models that optimizes generation across heterogeneous compute stages.

An AI-friendly macOS terminal emulator based on WezTerm that provides pre-configured shell ergonomics and integrated AI assistance for command generation and error fixing.

A minimalist ML framework for Rust that enables lightweight, Python-free serverless inference and browser-based model execution.

A C++ library providing portable SIMD/vector intrinsics to enable high-performance, architecture-independent CPU optimization.

A tool for detecting Claude running environment risks and account ban risks by analyzing browser fingerprints, IP purity, and system settings.

Grok2API is an open‑source Go gateway with a React admin UI that aggregates multiple Grok Build, Grok Web, and Grok Console accounts into a single OpenAI‑/Anthropic‑compatible API. It handles credential sync, quota management, model discovery, routing, proxy‑rich egress, and media (image/video) endpoints, and can be run via Docker Compose or from source.

Client SDKs for Asqav, an evidence layer for AI agents that generates signed, post-quantum compliance receipts to provide a verifiable audit trail of agent actions.

A model-neutral coding runtime using the Model Context Protocol that gives AI agents secure access to read, patch, and execute commands within a codebase.

A data-driven project that calculates the real unit price of AI model subscriptions and APIs by normalizing token allowances and costs against a standard workload.

An open-source, self-hosted algorithmic trading platform that provides a unified API for 36 brokers and tools for Python-based, no-code, and AI-assisted trading.

An open-source Python framework designed for security professionals to proactively identify risks and vulnerabilities in generative AI systems through red teaming.

A resumable long-running task workflow and skill platform for AI-assisted coding that provides structured methodologies and multi-agent coordination for complex software requirements.

An open-source observability platform built on OpenTelemetry that unifies logs, metrics, and traces to monitor applications, infrastructure, and AI/LLM pipelines.

An agent skill that converts complex terminal output, such as diagrams and tables, into styled, interactive HTML pages for better readability.

TurboFieldfare is a Swift + Metal runtime that streams the Gemma 4 26B‑A4B model from SSD, enabling inference on Apple‑silicon Macs with as little as 8 GB RAM. It ships a native macOS app, a command‑line tool, a Swift library, and a loop‑back OpenAI‑compatible server, all under Apache 2.0.

A cloud-native web honeypot server that uses deceptive pages, spider traps, and AI-generated content to detect and analyze malicious web crawlers and attackers.

Rapid‑MLX is a native Apple‑silicon inference engine that runs LLMs, diffusion, audio and video models locally and exposes a drop‑in OpenAI/Anthropic HTTP API, letting any client (LangChain, Claude Code, Aider, etc.) run fully offline on an M‑series Mac.

A high-performance safety hook for AI coding agents that intercepts and blocks destructive commands like accidental deletions or database drops before they execute.

A protocol-based bulk Outlook account registration tool with a Web console, featuring integrated PerimeterX bypass and proxy pool management.

A high-performance vectorized backtesting library that uses NumPy, Numba, and Rust to test thousands of trading strategy configurations simultaneously.

A deterministic codebase scanner that identifies React-specific issues in state, performance, and security, specifically designed to help AI coding agents write better code.

A lightweight bot that bridges Feishu/Lark messenger with local Claude Code or Codex CLI, enabling chat-based interaction with local coding agents.

A pre-execution firewall for AI agents that intercepts, classifies, and blocks dangerous tool calls in real-time to prevent security breaches and hallucinations.

agent‑swarm is an open‑source platform that turns a lead AI agent into a task‑routing hub, delegating work to containerised worker agents (Claude Code, Codex, etc.). It integrates with Slack, GitHub, email, and many other tools, persisting context via vector memory, and can automatically generate PRs, replies, or scheduled scripts. The system is model‑agnostic, runs via Docker (or Helm on Kubernetes), and is licensed under MIT.

A native x64dbg plugin that exposes the debugger's full functionality to AI agents via the Model Context Protocol (MCP), enabling agentic reverse engineering.

An agent-powered vulnerability scanner for large-scale repositories that uses AI to find and verify deep-seated security issues.

A cross‑platform runtime that launches hardware‑isolated micro‑VMs (microVMs) from any OCI container image. Designed for untrusted workloads—AI agents, user scripts, CI jobs, browser automation—its microVMs boot in < 100 ms, can be controlled via a CLI (`msb`) or SDKs in TypeScript, Rust, Python, Ruby, and Go, and guarantee that secrets never leak into the VM. It’s aimed at giving AI agents a safe, fast sandbox for code execution.

An AI-powered file type detection tool that uses a deep learning model to accurately identify over 200 content types with high precision and speed.

An AI-powered penetration testing agent that automates reconnaissance, vulnerability discovery, and exploitation using a model-led solve engine and MCP toolchain.

A cross-platform machine learning accelerator that optimizes inference and training for models from various frameworks like PyTorch and TensorFlow.

An open-source Python library for quickly building and sharing web applications for machine learning models and APIs without requiring front-end development experience.

A framework for generating high-quality synthetic datasets of text, structured data, and images using LLMs, samplers, and validation tools.

An open-source system companion for macOS and Windows that provides system monitoring, disk cleanup, and an MCP server for AI agents to manage the machine.

Redis is a fast, in-memory data structure server and vector query engine used for caching, real-time analytics, and as a vector store for GenAI applications.

A gateway that converts the official ChatGPT web interface into an OpenAI-compatible API, featuring a management console for multi-account scheduling and proxy rotation.

A workflow engine for AI coding agents that uses YAML definitions to make software development processes deterministic, repeatable, and isolated.

A population-scale infrastructure for evaluating AI systems and products by simulating diverse, persona-driven LLM agents across web, app, and chat environments.