A developer-focused CMS that synchronizes a visual browser editor for clients with a local-file workflow for developers, enabling AI agents to edit sites directly.

An open-source API management platform and gateway that transforms business logic and legacy databases into scalable API products and tools for AI agents.

A Node.js AI-assisted crawler library that uses LLMs to extract web data based on semantic meaning, making scrapers resilient to website layout changes.

A lightweight, self-hosted real-time NVIDIA GPU monitoring dashboard that supports single-machine or multi-node cluster tracking.

An AI-native infrastructure that uses a universal metadata standard to enable the instant generation of enterprise software from text descriptions.

An open-source semantic layer for analytics that enables drag-and-drop data exploration and provides a typed API for AI agents to query data cubes without writing MDX.

A unified Python framework for spike sorting that integrates multiple electrophysiology tools and algorithms into a single codebase for neural data analysis.

An open-source platform that transforms public GitHub Markdown files into modern, agent-ready documentation sites with built-in AI chat and MCP support.

A Nix flake providing an automatically updated, self-contained native binary of Claude Code for declarative and reproducible installations.

A type-safe ecosystem of OCaml libraries for numerical computing, machine learning, and data science, mirroring the Python scientific stack.

chipStar is a compiler and runtime layer that enables CUDA and HIP applications to run on any platform supporting SPIR-V, such as Intel, ARM, and RISC-V GPUs.

A library of probabilistic data structures for fast similarity estimation and cardinality counting on massive datasets.

A high-performance HTML-to-Markdown converter optimized for LLMs, reducing token usage and supporting streaming and site-wide crawling for RAG systems.

A Python package that provides high-performance differential equation solvers by utilizing the DifferentialEquations.jl library from Julia.

An open-source AI SaaS boilerplate that provides the monetization, billing, and infrastructure needed to turn AI prototypes into paid products.

An open-source alternative to Claude Artifacts and v0 that allows users to generate and securely execute AI-generated code across multiple frameworks like Next.js and Python.

A C++ and Python library for the high-performance storage and manipulation of large multi-dimensional arrays across diverse local and cloud storage systems.

Datalevin is a fast, durable Datalog database that provides a declarative alternative to SQL and graph databases, featuring built-in vector search and AI-native capabilities.

A browser extension for managing and quickly inserting preset AI prompts into any web input field using shortcuts and variables.

A Kubernetes Gateway API extension that optimizes the routing and load balancing of self-hosted generative AI models to improve latency and throughput.

A tool that converts verbose PHP tool output into compact, structured JSON for AI agents, reducing token usage and improving parsing efficiency.

ARA‑Labs provides a set of seven “Agent Skills” that let AI research agents automatically record, verify, visualise and share every step of an experiment in a structured, cross‑layer artifact format, enabling reproducible, auditable autonomous research.

A CLI tool that optimizes Claude Code's context window by restructuring project documentation into a lean, demand-driven loading system, reducing startup token waste.

A notification tool that alerts users via Telegram, Email, Webhooks, and desktop notifications when long-running AI CLI tasks from Claude Code, Codex, OpenCode, or Gemini are complete.

A local proxy that captures LLM API calls from AI coding tools to provide a detailed visual breakdown of context window composition and token costs.

A VS Code extension that gives AI assistants live access to SAP systems, enabling autonomous code analysis, debugging, and development workflows using natural language.

A universal mobile development tool that provides a unified dashboard and CLI to control iOS Simulators, Android Emulators, and physical devices.

A Triton-based domain-specific language that simplifies writing high-performance GPU kernels using tensor-oriented meta-programming.

A multimodal data annotation platform that provides tools for labeling images, videos, and audio, featuring AI-assisted auto-annotation to accelerate dataset creation.

AgentQL is a suite of tools that uses an AI-powered natural language query language to extract data and automate workflows on websites, replacing fragile CSS/XPath selectors with resilient, self-healing ones.

An AI-powered cybersecurity threat detection platform that automates the discovery and monitoring of emerging threats, data leaks, and malicious domains.

An open infrastructure for turning AI agents into running HTTP services, providing the runtime, LLM routing, and deployment tooling needed to ship agent-powered features.

An MCP server that enables AI agents to deploy and manage applications on Google Cloud Run through a standardized protocol.

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

Ark is a Kubernetes-native framework for building and hosting portable, provider-agnostic AI agents using a declarative approach to avoid vendor lock-in.

A unified agent gateway that enables Cursor IDE and Claude Code CLI to connect to diverse AI backends like Antigravity, Codex, and AWS Kiro via protocol translation.

A Python library for supervised probabilistic prediction that provides scikit-learn compatible interfaces for predicting intervals, quantiles, and probability distributions.

A toolbox of optimized, customizable building blocks for Transformer models that accelerates research by providing memory-efficient and high-performance CUDA kernels.

A Python library for serial and parallel hyperparameter optimization over complex search spaces, including real-valued, discrete, and conditional dimensions.

A PyTorch-based library for Bayesian Optimization that provides a modular framework for composing probabilistic models and acquisition functions.

A lightweight wrapper that converts Model Context Protocol (MCP) tools into LangChain/​LangGraph tools, supporting multiple transports (stdio, HTTP, streamable‑HTTP) and multi‑server setups.

An Automated Machine Learning package for tabular data that automates preprocessing, model selection, and tuning while providing transparent, detailed reports for explainability.

A Python library providing Scikit-learn compatible transformers for comprehensive feature engineering and selection to improve machine learning model performance.

A local AI quota aggregator and proxy that lets you use AI subscriptions from various providers (like Claude Pro or Cursor) across any AI tool or IDE.

A differentiable simulation toolkit for PyTorch, Jax, and TensorFlow that enables the integration of physics simulations into machine learning optimization loops.

An agentic Machine Learning Engineer that uses the Claude Agent SDK and Google ADK to train state-of-the-art ML models using specialized scientific agent skills.

A benchmarking framework that evaluates the real effective context size of long-context LLMs using synthetic tasks that go beyond simple retrieval.

A unified playground for implementing and evaluating KV cache compression, retrieval, merging, and quantization methods to optimize long-context LLM inference memory usage.