An AI-powered, agentless observability system that unifies metrics, logs, and alerting for diverse infrastructure and application services.

A SvelteKit-based chat interface for LLMs that connects to OpenAI-compatible APIs, featuring smart routing, MCP tool support, and MongoDB persistence.

A cross-platform, Rust-based terminal multiplexer engine that provides tmux-compatible commands and typed SDKs for programmatic terminal automation and orchestration.

AKO4ALL is an automated GPU kernel optimization tool packaged as a Claude Code skill that iteratively profiles, rewrites, and benchmarks kernels to achieve expert-level performance.

A CLI tool that gives AI agents authenticated access to 750+ platforms via a single interface, eliminating the need to manage multiple API keys and OAuth flows.

A Python SDK for Oxylabs AI Studio, providing AI-powered web scraping, crawling, and browsing agents to extract structured data using natural language prompts.

A recursive self-improving harness that helps AI agents succeed on tasks by iterating through evaluations and distilling successful lessons into reusable playbooks and datasets.

A high-performance ray tracing library by Intel that provides optimized kernels for CPUs and GPUs to accelerate photo-realistic rendering applications.

A framework of prompts and agent skills for Claude Code that transforms product requirements into production-ready code through a structured plan-implement-review loop.

A cross-platform Golang library for desktop automation and AI computer use, enabling programmatic control of the mouse, keyboard, and screen.

A local-first bridge and iOS app that allows users to remotely control the OpenAI Codex runtime on their Mac, including managing Git operations and steering AI coding tasks.

A performance benchmarking tool for NVIDIA GPUs that measures memory bandwidth and latency across CPU-to-GPU and GPU-to-GPU links, including multi-node configurations.

A Three.js agent skills pack that provides AI agents with a library of sophisticated graphics implementations to produce professional-grade 3D visuals.

An open-source data middle platform for enterprise data governance and development, featuring ETL, metadata management, and AI-powered Text2SQL data Q&A.

Humanity's Last Exam (HLE) is a multi-modal benchmark consisting of 2,500 expert-developed questions across various academic subjects to test the limits of AI knowledge.

A Claude Code plugin that implements an iterative development loop with independent AI review to ensure high-quality, bug-free code.

A collection of AI agent skills for benchmarking and optimizing Xcode build performance, providing an automated analyze-approve-fix workflow to reduce build times.

An open-source enterprise data warehouse built in Rust that integrates analytics, vector search, and secure Python sandboxes for AI agent orchestration.

The official OpenAI Go library that provides type-safe access to the OpenAI REST API for applications written in Go.

A Python library for multi-agent reinforcement learning research that provides a standardized API and a diverse set of environments, similar to a multi-agent version of Gymnasium.

A JAX-based post-training library for LLMs that provides scalable support for supervised fine-tuning and reinforcement learning on TPUs.

A lightweight neural network inference framework for Espressif ESP series chips that enables efficient on-device AI deployment through optimized quantization and memory management.

A holistic framework for developing and benchmarking autonomous AIOps agents by automating microservice deployment, fault injection, and telemetry in Kubernetes environments.

A Go SDK and model server for hardware-accelerated local inference of text, vision, audio, and image models without requiring Python.

An MCP server that integrates SonarQube Server or Cloud with AI agents, enabling them to access code quality and security analysis directly.

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

ICM (Infinite Context Memory) is a Rust‑based, zero‑dependency binary that provides a shared, searchable SQLite memory store for AI agents. It supports episodic memories with importance‑based decay, permanent knowledge‑graph memoirs, feedback recording, and verbatim session transcripts. Integrated via MCP hooks or a CLI, it works with many popular assistants (Claude, Gemini, Codex, Copilot, etc.) and offers optional ONNX‑Runtime semantic search. Install via Homebrew, a one‑liner script, or Cargo; configure globally or per‑project, then store/recall context across tools without re‑explaining. Experimental (pre‑1.0) but usable today.

A native DeepSeek Harness memory plugin that bounds the context window by archiving older conversation turns into a graph-based navigation layer for exact source-backed recall.

A graph-native memory system for AI agents that uses Neo4j to store conversations, build knowledge graphs, and track reasoning traces for long-term persistence.

An MCP server that gives AI agents 18 geospatial tools to geocode, route, search, and reason about physical locations using Google Maps APIs.

A consolidated super-repository for ROCm libraries that streamlines the development, build, and integration of high-performance math and AI libraries for AMD GPUs.

A unified CLI for managing local AI skills, browser automation via a Chrome extension, and terminal-based AI chat.

A verification-driven orchestration harness for Claude Code that ensures AI-generated code is trustworthy by enforcing evidence-based verification and structured agent orchestration.

A curated collection of agentic skills based on an open standard that provides AI coding assistants with expert-level, production-ready knowledge of Azure services.

LightLLM is a Python‑based, high‑performance inference and serving framework for large language models. It combines fast kernels (FlashAttention, Triton) with lightweight, token‑level KV‑cache management, supports multi‑GPU scaling, and adds research‑grade features like constrained decoding and SLA‑aware request scheduling.

A local RAG system that indexes private documents (PDF, DOCX, Markdown, TXT) and provides hybrid semantic and keyword search via MCP or CLI without external APIs.

A production-grade operator library for LLM inference that provides highly optimized CUDA kernels for attention, MoE, and sampling to reduce serving latency.

A GPU-accelerated data curation framework for building repeatable pipelines to load, filter, deduplicate, and transform massive text, image, video, and audio datasets for AI training.

A unified control plane for GPU provisioning and orchestration that streamlines AI development, training, and inference across any GPU cloud, Kubernetes, or on-prem cluster.

A PyTorch-native library for model optimization that provides quantization and sparsity tools to accelerate training and inference while reducing memory usage.

An extension of the Hugging Face ecosystem that provides optimization tools to train and run AI models with maximum efficiency on targeted hardware accelerators.

TypeDB is a next-generation database that unifies relational, document, and graph models into a single strongly-typed system to simplify the management of complex, interconnected data.

A native macOS app and agent orchestrator that helps developers curate precise codebase context for AI coding agents using an MCP server.

A fund investment management library that provides data acquisition, portfolio analysis, and net value prediction for funds and stocks.

A proposed web platform API that gives developers access to built-in browser or OS language models for local, private, and cost-effective AI integration.

A span-level grounding verifier that localizes unsupported or fabricated parts of RAG, code-agent, and tool-grounded AI outputs using encoder and generative models.

A PyTorch-based deep learning library that simplifies distributed training at scale, providing tools for memory optimization and algorithmic speedups to reduce training time and cost.

An AI-powered tool for evaluating and selecting the technology stack for WeChat Mini Program development, transforming ecosystem resources into a filterable risk-assessment radar.