Protocols like MCP and A2A have greatly simplified API integration by enabling flexible access and usage of application interfaces. These protocols play important roles particularly in systems involvi...

A modular system for integrating local and remote MCP (Model Context Protocol) and A2A (Agent-to-Agent) servers with a central registry. This enables AI assistants like Claude Desktop to discover and ...

The Definitive Python Implementation of Googles Agent-to-Agent (A2A) Protocol with Model Context Protocol (MCP) Integration Python A2A is a comprehensive, production-ready library for implementing Goo...

Interest in Anthropic’s Model Context Protocol (MCP) is as high as confusion about what it is and why you should use it. In part 1 of this series, I dove deep into MCP — what it is, and what it isn’t.

Arch is an intelligent Layer 7 distributed proxy designed to protect, observe, and personalize AI agents with your APIs.

Imagine billions of specialized AI agents collaborating across a decentralized architecture. Each performs discrete functions while communicating seamlessly, navigating autonomously, socializing, lear...

Open Multi-Agent Canvas is an open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation. It’s built with Next.js, LangGraph, and CopilotKit to help with t...

Arch is an intelligent Layer 7 distributed proxy designed to protect, observe, and personalize AI agents with your APIs.

AI agents offer a unique opportunity to help people be more productive by autonomously handling many daily recurring or complex tasks.

Multi-language: Python and Typescript support. Lightweight: Zero bloat, zero dependencies, zero vendor lock-in.

Welcome to npcsh, the shell for interacting with NPCs (LLM-powered AI agents) and for coordinating actions and information between the NPCs. npcsh introduces a new paradigm of programming for LLMs: np...

What is the Babel Fish Moment for AI? In The Hitchhikers Guide to the Galaxy, there’s the Babel Fish. When you pop it in your ear, you can instantly understand any language spoken across the universe.

The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without sacrificing deve...

_The intelligent (edge and LLM) proxy server for agentic applications._ Move faster by letting Arch handle the pesky heavy lifting in building agents: fast input clarification, agent routing, seamless...

Goose is a developer agent that supercharges your software development by automating an array of coding tasks directly within your terminal or IDE. Guided by you, it can intelligently assess your proj...

kagent is a kubernetes native framework for building AI agents. Kubernetes is the most popular orchestration platform for running workloads, and kagent makes it easy to build, deploy and manage AI age...

Framework to build LLM Copilots with features like message history as a pandas DataFrame, simple JSON Schema definition helpers, streaming as default, scalable tool and structured outputs functionalit...

The `agents.json` Specification is an open specification that formally describes contracts for API and agent interactions, built on top of the OpenAPI standard. The current version is `0.1.0`. Use the...

AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. AG2 aims to streamline the development and rese...

# Atomic Agents The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without...