An MCP server that turns AI assistants into security analysts by integrating 28 security tools and 24 APIs to automate CVE triage and risk scoring.

TokenHub is an enterprise token governance infrastructure that provides centralized model routing, access control, and cost optimization for AI model providers.

SkyPilot is an open‑source system that lets AI teams launch, schedule, and scale training, inference, and other AI jobs on any combination of Kubernetes, Slurm, or public‑cloud GPU/TPU resources. You describe a job in a short YAML/Python spec (resources, code, setup, run); SkyPilot automatically picks the cheapest available provider, provisions the machines, syncs your code, runs the job, and shuts down idle resources. Features include auto‑failover, bin‑packing, gang scheduling, multi‑cluster control, production‑grade endpoints, and sandboxed execution of untrusted LLM‑generated code. Install via `uv pip install "skypilot[aws,gcp,azure,kubernetes,…]"` and launch with `sky launch <spec>`. It supports dozens of clouds and integrates with major frameworks (PyTorch, DeepSpeed, Jax/TPU, vLLM, Airflow, Jupyter, etc.), making AI compute portable and cost‑effective.

A tiny, high-performance AI assistant infrastructure written in Zig that enables autonomous agents to run on minimal hardware with near-zero overhead.

A library for mechanistic interpretability that allows researchers to reverse engineer generative language models by accessing and manipulating their internal activations.

An AI-native health data engine that standardizes fragmented health data from lab reports and wearables into LOINC/FHIR standards for AI reasoning.

A multi-account management tool for Codex that provides a desktop GUI, CLI, and an OpenAI-compatible API proxy for seamless account rotation and integration.

An MCP server that integrates the SearXNG API to provide AI assistants with privacy-respecting web search and URL content reading capabilities without requiring paid API keys.

A compiler backend that allows Rust to be used as a first-class language for writing GPU graphics and compute shaders by compiling to SPIR-V.

An open-source codebase context engine that gives AI assistants deep semantic understanding of large repositories through hybrid search and dependency graphs.

A speculative inference engine optimized for heterogeneous consumer GPUs and APUs, providing high-throughput local LLM execution via custom kernels and hardware-tuned optimizations.

A comprehensive skill set for AI assistants that automates the entire MCU firmware development lifecycle, including building, flashing, and debugging across various toolchains.

An LLM gateway that optimizes token usage and costs for AI coding tools through smart tier routing, JSON compression, and semantic caching.

A developer-oriented platform for the full lifecycle management of AI agents, providing tools for prompt engineering, automated evaluation, and execution observability.

A high-performance, Rust-powered data engine designed to process multimodal AI workloads, allowing users to handle images, audio, and video alongside structured data at scale.

A type-safe, provider-agnostic TypeScript SDK for building streaming chat, tool-calling agents, and multimodal AI applications across various JS frameworks.

An open-source cryptocurrency trading bot with a visual interface that automates strategies using AI, technical indicators, and TradingView signals across 15+ exchanges.

A server-side operating layer for AI Agent workloads that provides an AI-native terminal, token-saving compression for tool outputs, and secure execution runtimes.

The source release of NVIDIA's open GPU kernel modules for Linux, enabling the build and installation of kernel-level driver components for Turing and newer GPUs.

A web scraping and browser automation library for Python that provides tools to build reliable, human-like scrapers that bypass bot protections.

Typesense is an open-source, fast, typo-tolerant search engine built in C++ that serves as a simpler alternative to Elasticsearch and a self-hostable alternative to Algolia. It supports full-text, vector, semantic/hybrid, and conversational (RAG) search, plus image and voice search, all through a simple HTTP API.

A Python library that automatically learns web scraping rules from sample data, eliminating the need for manual CSS selectors or XPath expressions.

A portable, one-click installer for ComfyUI on Windows that includes a management dashboard for environments, packages, and AI model configurations.

An autonomous harness for vulnerability discovery, remediation, and validation using LLMs to reduce the time between discovering a weakness and deploying a validated fix.

A vendor-neutral standard for packaging reusable AI agent skills and MCP servers into portable, distributable plugins.

OpenAI’s gpt‑oss repo delivers reference code and tooling for the open‑weight 120 B and 20 B LLMs, including a special Harmony chat format, MXFP4 quantization, and back‑ends for PyTorch, Triton, Metal, vLLM, Ollama, and more. Licensed Apache‑2.0, it’s aimed at researchers and developers who want to run, fine‑tune, or build tool‑augmented agents with these models.

A proxy tool that wraps the Google AI Studio web interface into a compatible OpenAI, Gemini, and Anthropic API, using browser automation to interact with the models.

A real-time AI coding agent status panel for the macOS Dynamic Island that tracks sessions, tool calls, and permissions across 15 different AI tools.

An open-source, local-first AI research workbench that integrates literature search, Python/R execution, and scientific database querying into a single project environment.

A curated collection of papers, frameworks, and tools for on-policy distillation, a post-training technique that trains student LLMs on their own generated samples to bridge the train-inference distribution gap.

An AI-native, CLI-first React component library that delivers raw source code for 160+ animated components, featuring a native MCP server for AI agent integration.

An autonomous security research framework that chains static and binary analysis with LLM-powered validation to discover, exploit, and patch vulnerabilities.

A proxy server that exposes an Anthropic-compatible API backed by Antigravity's Cloud Code, enabling the use of Claude and Gemini models with the Claude Code CLI.

A remote access gateway and visualization tool that lets you manage local AI agent CLIs and workstation data through a web browser from any device.

A package that translates machine learning models into High Level Synthesis (HLS) code for ultra-low-latency inference on FPGAs.

A high-performance general-purpose inference compiler written in Rust that optimizes ML models by treating them as static computation graphs and using search-based optimization.

A Model-as-a-Service (MaaS) platform and library that provides a unified interface for discovering, inferring, and fine-tuning hundreds of state-of-the-art AI models across multiple domains.

An open-source smart LLM router that enables autonomous agents to pay for API usage via USDC micropayments and routes requests to the cheapest capable model to reduce costs.

A gateway that enables free access to multiple premium LLMs by automating browser logins and driving official web UIs instead of using paid API tokens.

A PyTorch library for learning neural operators, such as Fourier Neural Operators, that enable resolution-invariant mapping between function spaces.

A pure Rust and CUDA LLM inference engine that provides a lightweight, high-throughput OpenAI-compatible server without requiring Python or PyTorch.

Mamba is a linear-time sequence modeling architecture based on selective state space models (SSMs) that provides a high-performance, subquadratic alternative to Transformers.

A comprehensive library of recommendation system algorithms and best practices, providing tools for data preparation, model training, evaluation, and production deployment.

A native local development environment for Windows, macOS, and Linux that manages runtimes, databases, and web servers with built-in AI coding and MCP support.

LLM Gateway is an open‑source API gateway that provides a single OpenAI‑compatible endpoint for routing requests to multiple LLM providers, centralising API‑key management and offering built‑in usage and performance analytics. It can be used as a hosted SaaS service or self‑hosted via Docker.

An MCP server that gives AI agents real-time web access with built-in bot and CAPTCHA bypassing, offering 69 tools for search, scraping, and structured data extraction.

A self-hosted zero trust secure access platform that provides identity-based, secretless access to private resources, AI gateways, and containerized applications.

Archestra is an open‑source, enterprise‑grade AI platform that bundles a chat UI, LLM gateway, agent runtime, RAG knowledge base, mini‑app builder, and full security/observability stack. It lets companies expose LLMs to users and internal tools behind a single, SSO‑protected URL, with cost limits, sandboxed execution, and deterministic guardrails.