5 topics · newest 8 Nov 2026
Learn what an agent harness is, how its loop runs a task and what its parts are: context, tools and permissions, what is kept between sessions, and hooks. Tests by OpenAI and Anthropic show how much a harness changed a model's results, and both companies describe harnesses for particular kinds of work.
· 8 min
Keyword search, semantic search and knowledge graph search are three ways to retrieve data for an LLM or an AI agent. This guide covers how each one works, how they differ, how hybrid search combines them with rank fusion and a reranker, and the best use cases for each.
· 9 min
MCP, the Model Context Protocol, connects AI applications such as Claude, ChatGPT and AI agents to tools and data. This guide covers how MCP works, its architecture, how it differs from an API, its use cases and its limits.
· 8 min
This guide explains what AI workflows and agent skills are, how they differ, how to choose, and how real systems use the two together.
· 6 min
Hermes Agent is an open-source AI agent from Nous Research that runs on your own computer or server, uses tools to carry out tasks and remembers what it learned. This guide explains why to use it, its folder structure, how it works and learns, cron jobs, limits and use cases.
· 14 min