The open protocol that lets AI agents from different frameworks and vendors communicate, delegate tasks, and share results — regardless of who built them
Standard Retrieval-Augmented Generation (RAG) is a one-shot pipeline: retrieve the top-k documents, stuff them into context, generate a response. It works...
What agent benchmarks measure, what the current state of the art looks like, and how to evaluate agents for your actual use case
A fourth architectural category alongside harness, framework, and orchestration, how an agent reaches humans and systems across channels and stays alive between sessions, centered on OpenClaw
Computer use agents can see a screen, move a mouse, type on a keyboard, and interact with any application — just as a human operator would. They represent a...
A side-by-side comparison of the major frameworks for building multi-agent systems — LangGraph, OpenAI Agents SDK, CrewAI, Microsoft Agent Framework, Google ADK, and Amazon Strands
What an agent harness is, how it differs from an orchestration framework, and a comparison of Claude Code, Cursor, GitHub Copilot CLI, Codex CLI, Devin, OpenHands, Cline, Aider, and Amp
The open standard that connects LLMs to tools, data sources, and external services — the USB of agentic AI
Native speech-to-speech vs. cascaded voice pipelines, and a comparison of OpenAI's Realtime API, Google's Gemini Live API, and Anthropic's voice mode
