An open-source codebase intelligence tool that provides agents and teams with cited context from current code, git history, and technical web research.

An evidence-bound resume toolkit for AI internship seekers that polishes resumes, tailors them to JDs, and generates interview prep based on verifiable technical evidence.

A tool-calling quality benchmark for LLMs that evaluates tool selection, parameter precision, and agentic workflow reliability across various self-hosted serving stacks.

A high-performance, client-side toolkit for parsing, viewing, and editing IFC BIM models in the browser using Rust and WebAssembly.

A lightweight Python library that provides durable workflows and queues backed by Postgres, ensuring applications can reliably recover from failures and resume from checkpoints.

Nimbus scaffolds a complete, editable Astro documentation site that ships both a human‑friendly web UI and machine‑readable artefacts (Markdown, MDX, JSON‑LD, `/llms.txt`) so AI agents can consume the docs as easily as browsers. It provides built‑in linting, versioning, optional Cloudflare Workers rendering, and an extensible add‑on system, all under an MIT license.

NVIDIA DCGM‑Exporter is a Go‑based service that reads GPU telemetry from NVIDIA’s DCGM and exposes it as Prometheus metrics. It runs as a Docker container, a systemd service, or a Helm‑deployed pod, supports TLS/auth, custom metric sets, IPv6, remote hostengine connections, and optional HPC‑job or container labels. Ideal for AI/ML platform monitoring, Kubernetes GPU clusters, and HPC environments.

pg_durable is a PostgreSQL extension that lets you define long-running SQL workflows as graphs of steps, execute them durably with checkpointing between steps, and resume automatically after crashes or restarts. It keeps workflow state inside Postgres and requires no extra services.

An agentic toolkit for n8n that enables building, editing, and deploying workflows as code using VS Code, Cursor, and AI agents with live environment context.

An interactive NVIDIA GPU process viewer and monitor that provides real-time resource tracking and process management beyond the capabilities of nvidia-smi.

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.

KaTrain is an AI-powered tool for analyzing Go games and playing against AI with real-time feedback and calibrated skill levels based on the KataGo engine.

An IDE designed for AI coding agents that provides multi-session management, cost tracking, and a Kanban board for tools like Claude Code and Gemini CLI.

Inspect Petri is an auditing agent that automates the monitoring and interaction with language models to detect alignment issues and reward hacking.

An API gateway that converts Kiro accounts into OpenAI and Anthropic compatible API services for easier integration with AI tools.

A collection of reusable agentic workflows for GitHub that automate repository maintenance, code review, fault analysis, and documentation updates.

A high-performance constrained decoding library that enforces JSON schemas, regular expressions, and context-free grammars on LLM outputs to ensure structured data.

An open-source MCP server that enables natural language interaction with Neon Postgres databases for tasks like project management, branching, and SQL execution.

An AI-native interactive shell for Linux that allows users to execute system operations via natural language while providing risk-based security controls and full PTY support.

A lightweight, Kubernetes-native LLM inference platform that provides modular control and data planes for scalable, cost-efficient model serving.

An MCP server that enables LLMs to inspect MySQL schemas and execute SQL queries, featuring built-in PII redaction and secure remote access.

A portable collection of 54 professional workflows and a secure sandbox runner for AI coding agents including Claude Code, Codex, OpenCode, and Pi.

A family of COM-free .NET libraries for creating, reading, editing, and converting Office and document formats without requiring Microsoft Office or LibreOffice.

A lightweight, modular AI application framework for Java that provides unified abstractions for LLMs, RAG, and agents, with production-ready tooling for Spring Boot integration.

A persistent memory and knowledge plane for AI coding agents that eliminates repetitive corrections through self-correcting SQLite-backed memory and auto-growing research wikis.

A C++ and Python library for efficient Transformer model inference, using quantization and custom runtimes to accelerate execution and reduce memory usage on CPU and GPU.

A CLI and MCP server that extends Toss Securities' official API to provide AI agents and users with access to over 30 additional investment data points and portfolio management tools.

A multi-subscription extension for the pi coding agent that enables automatic rate-limit rotation and failover across multiple AI provider accounts.

A TypeScript library that enables AI agents to execute complex tool-calling workflows via a single block of TypeScript code instead of multiple individual tool calls.

A mobile device automation framework for iOS and Android that brings Playwright's API and developer experience to mobile apps, specifically optimized for AI agent control via accessibility trees.

A Python-centric observability platform built on OpenTelemetry that provides deep visibility into application behavior using SQL-based querying and Pydantic integration.

A native macOS menu bar app that lets users use their existing AI subscriptions with professional coding tools by proxying authentication and API routing.

A Claude Code plugin that integrates the Codex CLI to enable automated code analysis, refactoring, and editing workflows.

An AI-driven automation testing platform that uses LLMs and RAG to automatically generate, manage, and execute functional, API, and UI test cases from requirements.

An agentic code research platform that provides AI agents and developers with token-efficient, evidence-based context from local and GitHub repositories using a Rust-powered engine.

An open-source collection of libraries for Robotic Process Automation (RPA) that enables the automation of web, desktop, and cloud-based software tasks using Python and Robot Framework.

An MCP server that enables AI assistants to interact with Argo CD applications through natural language, providing a comprehensive set of tools for cluster and application management.

A component for the ESP-IDF platform that enables running TensorFlow Lite Micro on Espressif chipsets with hardware-optimized kernels for faster inference.

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

A framework for dynamically loading and distributing optimized compute kernels from the Hugging Face Hub, ensuring portability and version compatibility across PyTorch and CUDA environments.

An Android accessibility service that provides real-time UI element data and remote control APIs for UI testing and automation.

HIP is a C++ runtime API and kernel language for AMD GPUs that enables developers to port NVIDIA CUDA code to AMD hardware for portable GPU acceleration.

A toolkit that connects MCP-based LLM agents to live R and Python sessions in RStudio or Positron for interactive data analysis and automated research manuscript auditing.

A markdown-based prompt engineering format and runtime that allows LLM prompts to be defined once and executed across multiple programming languages and model providers.

A portable AI workspace that bundles the OpenClaw framework onto a USB drive, allowing users to carry their AI configurations and memories across any computer.

An AI-powered cybersecurity automation tool that streamlines vulnerability scanning, penetration testing, and security auditing through an LLM-driven CLI agent.

A PyTorch-based library for probabilistic modeling and analysis of single-cell omics data, supporting tasks like dimensionality reduction and data integration.

Jupyter MCP Server is an open‑source bridge that lets AI agents talk to Jupyter notebooks in real time via the Model Context Protocol. It exposes notebook files, cells, and kernel execution as structured tools, supports many cloud sandbox back‑ends, and uses OAuth 2.1 for secure token‑based access.