A collection of tools and workflows for AI agents to perform market research, manage wallets, and execute DeFi transactions across 20+ blockchains.

A high-fidelity LLM inference system simulator used to study performance, plan capacity, and test scheduling optimizations without requiring continuous GPU access.

A collection of ready-to-use public datasets provided as tf.data.Datasets to simplify the process of loading and preparing data for machine learning.

A minimal, dependency-free C library for training and using feedforward artificial neural networks with support for backpropagation and alternative optimization methods.

A local server that exposes ChatGPT account models via OpenAI and Ollama compatible APIs, allowing them to be used in third-party chat and coding tools.

An ultra-lightweight, open-source agentic framework for building self-learning agents and deterministic multi-step workflows with persistent memory and tool integration.

A comprehensive LLM quantization toolkit that compresses models using methods like GPTQ and AWQ with hardware acceleration for NVIDIA, AMD, Intel, and Huawei NPUs.

A self-hosted AI agent that runs locally on your machine, providing a native desktop app and integration with multiple messaging platforms like Discord and Slack.

An MCP proxy server that aggregates multiple Model Context Protocol servers into a single HTTP entry point, simplifying tool and resource management.

A portability layer and operation set for ML models that enables interoperability between different ML frameworks and ML compilers.

Arbigent (Arbiter‑Agent) is an open‑source AI‑agent testing framework for mobile, web and TV apps. It lets QA engineers create test scenarios in a visual UI using natural‑language goals, while developers can run the same scenarios programmatically from YAML files or the CLI. Features include task decomposition, cross‑platform support, model‑choice flexibility, image‑based assertions, reusable scenario libraries, Maestro/YAML integration, and extensibility via a Model Context Protocol. Installation is via a macOS binary for the UI or a Homebrew‑installed CLI (with an optional wrapper script for pinned versions). The tool is free, community‑driven, and targets teams that want high‑fidelity UI testing powered by LLMs, accepting the trade‑offs of slower speed and AI cost.

A Python library for causal and probabilistic reasoning using graphical models, providing tools for structure learning, parameter estimation, and causal inference.

ChatGPT CLI is a cross‑platform command‑line client for many LLM providers. It offers streaming queries, thread‑based chat history, prompt‑file injection, multimedia I/O, and an experimental agent mode (ReAct / Plan‑Execute) that can run shell/file/web‑search tools under budget and policy constraints. It also supports the Model Context Protocol (MCP) for custom tool calls. Install via Homebrew or a pre‑built binary, configure API keys in `~/.chatgpt-cli/config.yaml`, and start chatting with `chatgpt "your question"` or `chatgpt --interactive`.

A Python package for approximating any-order Shapley interactions to explain feature synergies in machine learning model predictions.

An embeddable, zero-dependency vector database for Go that enables RAG and semantic search without requiring a separate database server.

A persistent AI companion and agent runtime written in Rust that integrates long-term memory, computer use, and scheduled background work.

An AI agent evaluator and red teaming platform that stress-tests agents against business policies and adversarial attacks to identify security vulnerabilities.

The official C language headers for the OpenCL API, providing a standardized interface for developing high-performance applications on heterogeneous computing platforms.

A CUDA-based utility that occupies GPU memory and compute resources to simulate active usage and prevent resource reclamation in shared clusters.

An enterprise-scale reference architecture and IaC implementation for deploying secure and resilient AI applications and agents on Azure.

PUAX is a production‑ready runtime that adds a mind‑set layer to LLM agents. It provides arena/gate/dream primitives, thin‑prompt compression, a zero‑dependency Python SDK, hybrid trigger detection, 59 built‑in (and custom) roles, outcome‑driven verification, a Carbon Shield for human‑targeted manipulation detection, and a reproducible multi‑model benchmark suite. The system is accessed via an MCP server (`npx puax-mcp-server`) that injects native hooks into popular IDEs, and can be embedded directly into LangChain/AutoGen via a one‑line AMP middleware. MIT‑licensed and marked production‑ready.

A high-performance analysis engine for Oxford Nanopore reads that provides GPU-accelerated basecalling, alignment, and error correction for genomic data.

A structured skill framework for Claude Code that adds 131 professional skills for deployment, security, and development via an MCP skill loader.

A unified agent gateway that enables Cursor IDE and Claude Code CLI to route requests across multiple AI backends like Antigravity, Codex, and AWS Kiro.

A comprehensive software development kit that bundles headers, bindings, and loaders for developing cross-platform OpenCL applications.

A framework for building private micro-agents that monitor screen, camera, and audio inputs to trigger automated notifications and actions using local LLMs.

A web API service for solving CAPTCHAs using model inference, supporting local and public network deployment.

A JAX-powered library for solving optimal transport and matching problems between point clouds at scale using discrete solvers and neural network approaches.

A distribution and versioning system for AI assets like skills, prompts, and agents, allowing teams to share them across different AI tools using shared folders or Git vaults.

A custom script for AUTOMATIC1111's Stable Diffusion WebUI that allows users to specify different prompts for different regions of an image to prevent prompt bleeding.

An open-source platform for causal learning that recovers causal structures from observational data using a variety of discovery algorithms.

An AI-powered IDA Pro plugin that assists binary reverse engineering through LLM-driven function explanation, semantic knowledge graphs, and RAG-based document search.

An ensemble of AI models that automates wildlife species classification in camera trap images using an object detector and a species classifier.

A transformer model architecture (T6) that uses Tensor Product Attention to improve performance and reduce KV cache size for more efficient LLM inference.

An end-to-end video dubbing pipeline that automates transcription, translation, voice cloning, and audio assembly into a single workflow.

A collection of example codes and benchmarks for deploying common open-source deep learning algorithms on Axera AI SoC hardware.

A personal AI agent that builds an evolving Personal Model of the user to help design and manage long-term life and work paths.

An AI Chief of Staff that extends Claude Code to provide session continuity, goal tracking, and integrations with productivity tools like Google Workspace and Slack.

An AI-powered tool for transcribing audio and video from local files or YouTube links, providing translation and subtitling capabilities.

A Python LSP client library that provides a unified API to query static analysis results from multiple language servers to support AI-driven code generation and agents.

A large-scale, multi-lingual singing corpus with professional recordings and realistic music scores designed to improve AI singing voice synthesis and technique control.

A framework that uses pretrained Transformer language models to generate high-quality synthetic tabular data, supporting both training-based and schema-based generation.

An AI agent skill that automates the generation of production-ready Spring Boot 4.x applications with Java 25, PostgreSQL, and multiple front-end options.

An any-to-any generative foundation model for Earth Observation that enables multimodal geospatial data generation and environmental monitoring.

A subtitle translation tool that lets users connect their own translation API keys to translate .srt, .vtt, and .ass files cheaply and efficiently.

An open-source Android sample app that demonstrates how to build AI-driven experiences using the Gemini API, Imagen, and Jetpack Compose to rebuild the Android bot maker.

A high-performance cross-platform Monte-Carlo renderer for stream architectures that supports multiple hardware backends like CUDA, DirectX, and Metal.

A terminal AI assistant that turns Apple Health export data into a conversational analysis tool, supporting both local and cloud LLMs for private health metric tracking.