An open-source AI portal that allows users to quickly build and operate a production-grade hub for AI agents, prompts, and tools by integrating with existing AI platforms.

A Python library for efficient amortized Bayesian inference using deep learning, supporting multiple backends like JAX, PyTorch, and TensorFlow.

A framework for building stateful AI applications and agents by modeling them as state machines with a built-in telemetry UI for real-time tracing.

A collection of reference implementations and tutorials for building generative AI systems, RAG pipelines, and agentic workflows using the NVIDIA software ecosystem and NIM microservices.

An AI-powered tool that automatically generates unit tests to increase code coverage, supporting multiple programming languages and various LLM providers.

A library of reinforcement learning environments implemented in JAX, enabling high-throughput, vectorized simulations on GPUs and TPUs.

AgML is a comprehensive library for agricultural machine learning that provides standardized access to a wealth of public agricultural datasets for common deep learning tasks.

An extensible, next-generation user interface for Project Jupyter that provides a flexible environment for interactive and reproducible computing.

A C++ programming model and core libraries that enable performance portable applications to run efficiently across all major HPC platforms.

A real-time pixel art office simulation that visualizes Claude Code and OpenCode operations, turning agent logs into an animated environment with boss and employee agents.

An MCP server that enables AI agents to control iOS simulators, perform UI interactions, and automate QA testing through programmatic tool calls.

A Model Context Protocol (MCP) server that gives AI assistants direct access to the Godot editor to read, write, and manipulate scenes, scripts, and project settings.

A macOS menu bar app that turns the Caps Lock key into a physical switch to keep MacBooks awake even with the lid closed, ideal for running AI agents and long-running tasks.

A JavaScript acceleration library that transpiles JS functions into shader language to enable GPGPU (General Purpose computing on GPUs) in the browser and Node.js.

An RLM-based agent optimizer that analyzes production execution traces to identify systemic failure modes and provide recommendations for improving agent harnesses.

An AI constraint solver for Java and Kotlin that optimizes complex planning problems like vehicle routing and employee rostering.

Tamery is an AI-powered open-source database manager that helps users securely manage connections and use AI to write and optimize SQL queries.

A high-performance multi-model DBMS that supports graph, document, key-value, time-series, and vector data in a single ACID-compliant engine.

A cloud infrastructure and deployment platform that allows users to provision servers and deploy apps across multiple clouds, featuring an MCP server for AI-agent managed DevOps.

An intelligent terminal assistant for tmux that observes pane content and executes commands to act as a context-aware pair programmer.

A Python package for converting machine learning models from frameworks like PyTorch and TensorFlow into the Core ML format for on-device deployment on Apple devices.

A comprehensive deep learning toolkit for clinical predictive modeling that provides a modular pipeline for healthcare AI applications.

A Model Context Protocol (MCP) server that enables AI applications to securely explore and query MySQL databases through a structured interface.

An open-source communication protocol suite that enables AI agents to securely authenticate, discover, and collaborate across different platforms using standardized identities and messaging.

A high-performance CUDA kernel implementation of Kimi Delta Attention (KDA) built on CUTLASS for NVIDIA SM90+ GPUs, serving as an optimized backend for the flash-linear-attention library.

An open-source interpretability platform for exploring and analyzing neural network features, providing tools for automated interpretation, steering, and circuit visualization.

A Python-based AI inference pipeline toolkit for weather and climate science that provides a unified API to integrate various AI models and data sources.

A GitHub Action that integrates Claude Code into CI/CD workflows, enabling automated agentic coding tasks like PR reviews and dependency updates.

An open-source Python SDK for federated learning that enables secure, privacy-preserving machine learning collaboration across distributed parties without sharing raw data.

A high-performance machine learning framework for the browser that brings JAX-style numerical computing, automatic differentiation, and GPU acceleration via WebGPU and Wasm.

A prompt-native programming system that treats .prompt files as the source of truth and generates implementation code as a reviewable artifact.

An SDK that connects AI agents to Slack, Microsoft Teams, and Discord, enabling native interactive UI and human-in-the-loop approvals.

A Swift package for building applications with large language models and vision language models using MLX Swift, featuring model loading, fine-tuning, and guided generation.

A bridge that connects OpenCode to Cursor subscription models, translating prompts and tool calls between OpenCode and cursor-agent.

A high-performance linear attention kernel library that accelerates Gated Delta Rule (GDN) Chunked Prefill, providing significant speedups for training and inference on NVIDIA Hopper and Blackwell GPUs.

A deterministic, verifiable grounding layer for AI code work that ensures AI agents use real files and symbols, eliminating hallucinations without requiring embeddings or vector DBs.

A geospatial analysis skill for AI agents that enables natural language querying of PostGIS, BigQuery, and Snowflake, featuring a visual map-in-the-loop feedback system for self-correction.

A status line plugin for Claude Code that provides unified usage monitoring, cost tracking, and rate limit alerts across multiple AI CLIs.

A deterministic MoE training megakernel for NVIDIA Blackwell NVL72s that fuses computation and communication to eliminate CPU-GPU synchronization and accelerate training.

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 adversarial AI-agent skill for code review and security auditing that uses a Hunter-Skeptic-Referee pipeline to eliminate false positives.

A monitoring and observability dashboard for AI coding agents that tracks tool calls, costs, and session trajectories across 32 different runtimes without requiring code changes.

An open-source AI compiler stack for Tenstorrent hardware that enables the execution and training of models from PyTorch, JAX, and ONNX.

A Swift and Metal runtime that enables large MoE models like Qwen to run on Apple devices by streaming experts from storage to RAM on demand.

Ix is a system intelligence tool that parses codebases into a persistent graph of symbols and relationships, allowing humans and AI agents to query structure instead of searching text.

A modern spaced-repetition scheduler for Anki that uses machine learning to optimize review intervals based on a user's individual memory patterns.

A collection of plugins and configuration settings for AI coding tools that reduces over-engineering and AI-style writing while adding specialized skills for document processing.

A git-backed failure-memory system that allows AI agents to search and reuse verified recovery lessons to avoid repeating known debugging errors.