A toolkit that enables AI agents to read, build, edit, and test Simulink models by providing MCP tools and domain-specific skills based on Model-Based Design best practices.

A plugin for OpenCode that automatically reduces token usage by compressing stale conversation context into technical summaries and removing redundant tool calls.

A framework for building interactive UIs (charts, forms, dashboards) that render inline within AI chat clients using the Model Context Protocol.

A persistence and analytics dashboard for CLIProxyAPI that tracks AI model usage, costs, and request health using a SQLite backend.

A security-focused proxy for MCP servers that allows AI agents to scale beyond tool limits and reduce token costs through on-demand tool discovery.

An MCP server that gives AI coding agents access to Figma design data, allowing them to implement designs more accurately than using screenshots.

A tool that lets AI agents control a user's existing Chromium-family browser using Playwright, allowing them to leverage active sessions and extensions.

A prompt compression toolkit that removes non-essential tokens from LLM prompts to reduce costs, bypass token limits, and improve long-context performance.

CraftGRN is a modular framework that integrates ATAC-seq and RNA-seq data to infer condition-specific transcription factor binding sites and reconstruct dynamic gene regulatory networks.

An agent-first computational platform that allows AI agents to offload hard optimization and decision problems to an accelerated, verified execution engine.

A modular full-stack reinforcement learning library for LLMs that enables the training of long-horizon, multi-turn agents capable of complex tool-use and real-world tasks.

A Ruby-native AI framework that provides a consistent API for building chats, agents, and multimodal features across multiple AI providers in Ruby and Rails applications.

An agent-first business intelligence tool that uses BI-as-code and OLAP engines to provide real-time analytics and conversational BI for humans and AI agents.

An API gateway that converts GeminiCLI and Antigravity into OpenAI, Gemini, and Claude compatible interfaces, featuring advanced OAuth credential rotation and management.

A lightweight, hackable end-to-end deep learning stack that provides a PyTorch-like API with a transparent compiler and IR for efficient hardware acceleration.

A Python library and MCP server that provides programmatic access to Google Flights data via reverse-engineered APIs, avoiding web scraping.

A Codex Skill that converts reference images or AI-generated diagrams into native, editable Microsoft Visio (.vsdx) files for scientific paper figures.

A multi-node vLLM inference setup for Qwen3.8-Flash-Next optimized for two NVIDIA DGX Spark nodes, supporting NVFP4/FP8 quantization and context windows up to 1M tokens.

A terminal-based mission control for AI coding agents that provides persistent workspaces, agent status tracking, and workflow orchestration.

A high-performance C++ inference engine for local LLM deployment that supports hybrid MoE offloading across GPU, CPU, NUMA, and disk.

A high-performance Rust-based MCP server that provides structured repository tools for AI agents to efficiently read, search, and edit codebases.

A control-plane platform for deploying, routing, and securing A2A-speaking AI agents with built-in observability and secret management.

An open-source communication infrastructure that provides a unified API and conversation model to connect products and AI agents to multiple messaging channels like Email, SMS, and Slack.

A distributed search and analytics engine and vector database that enables near real-time search and analysis over massive datasets for AI and monitoring applications.

An MCP server that allows AI assistants to securely execute remote SSH commands and transfer files while keeping credentials isolated from the AI model.

A family of pretrained foundation models for zero-shot time series forecasting that treats time series data as tokens for language model architectures.

An open-source, cloud-native distributed SQL database that provides horizontal scalability, high availability, and MySQL compatibility.

A high-performance communication library for MoE models that provides optimized GPU kernels for expert parallelism to maximize throughput and minimize SM resource usage.

An MCP server that integrates Lanhu design and requirement documents into AI IDEs, enabling shared team knowledge and automated UI asset extraction.

A framework for building stateful, long-running AI agents and collaborative apps using lightweight actors with co-located in-memory state and durable execution.

A technical wiki and runbook collection for deploying and optimizing frontier LLMs on NVIDIA RTX PRO 6000 Blackwell PCIe systems, featuring reproducible Docker builds and hardware tuning.

An open-source browser API that simplifies building AI agents and web automation tools by managing browser sessions, proxies, and anti-detection.

An open-source AI data catalog and metadata platform that enables data discovery, governance, and observability across fragmented data ecosystems.

A high-performance sandboxed Python interpreter written in Rust designed for the safe and efficient execution of AI-generated code.

A collection of converted AI models and conversion recipes for Apple's Core AI runtime, enabling high-performance on-device ML on iOS 27 and macOS 27.

A collection of SDKs and plugins that integrate Stripe's billing and payment infrastructure with LLMs and AI agent frameworks.

A high-performance Go-based application development platform that provides a unified framework for building AI applications with integrated LLM, RAG, and Agent capabilities.

A comprehensive evaluation platform for large language and vision-language models that provides a unified framework for benchmarking across diverse datasets and paradigms.

Grounded Docs MCP Server is a local, version‑aware documentation indexer that scrapes official docs (web, GitHub, npm, PyPI, local files), converts them to searchable text, and optionally adds vector embeddings. It exposes a simple MCP (SSE) API so AI coding assistants (Claude, Cline, Copilot, Gemini‑CLI, etc.) can retrieve exact documentation passages, reducing hallucinations while keeping data private.

A remote Model Context Protocol (MCP) server that transforms any public GitHub repository into a documentation hub for AI assistants to reduce hallucinations.

The official Go SDK for the Model Context Protocol (MCP), providing the tools to build standardized clients and servers for AI model interaction.

A comprehensive JavaScript reverse engineering toolkit for AI agents to analyze Web APIs, bypass anti-scraping signatures, and restore encrypted logic in Node.js or Python.

A command-line interface for Z-Library that enables searching and downloading books, managing mirror domains, and sending files to Kindle.

A library for accelerating AI models through quantization, pruning, and distillation, enabling faster inference and reduced memory usage across various deployment frameworks.

An open-source incremental indexing framework that keeps AI agent context fresh by only reprocessing data changes (deltas) from enterprise sources into vector or graph stores.

A collection of CUDA C++ and Python DSL abstractions for implementing high-performance matrix-matrix multiplication (GEMM) and the related linear algebra operations on NVIDIA GPUs.

An open-source static analysis CLI that detects dead code, security flaws, and AI-generated code mistakes across multiple languages before merge.

An open LLM application devops platform for enterprises that provides visual workflow orchestration, expert-level agent guidance, and high-precision document parsing.