💫 Toolkit to help you get started with Spec-Driven Development

Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Examples and guides for using the OpenAI API

A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

This is a workshop designed for Amazon Bedrock a foundational model service.

Claude-Flow v2.0.0 Alpha represents a revolutionary leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seaml…

Robust Speech Recognition via Large-Scale Weak Supervision

An open-source AI agent that brings the power of Gemini directly into your terminal.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…

Structured AI workflows made easy

A model-driven approach to building AI agents in just a few lines of code.

Anthropic’s circuit tracer

An open-source, no-code agent building platform.

The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

Define, Prompt and Test MCP enabled Agents and Workflows

Generate Go client and server boilerplate from OpenAPI 3 specifications

AI on EKS - Tested AI/ML for Amazon Elastic Kubernetes Service

Implementation for Describe Anything: Detailed Localized Image and Video Captioning

Auth0 MCP Server

Transform PDFs into AI podcasts for engaging on-the-go audio content.

Extensible platform for infrastructure management

Model Context Protocol Servers

sample app about authz and AI

A high-throughput and memory-efficient inference and serving engine for LLMs

A Datacenter Scale Distributed Inference Serving Framework

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…