# AI agent > An AI agent. An [AI](https://wiki.g15e.com/en/pages/Artificial%20intelligence.txt) agent. ## Notes What makes a good harness? (Notes from ) - Elements such as and [LSP](https://wiki.g15e.com/pages/Language%20Server%20Protocol.txt) that can be [beneficially connected](https://wiki.g15e.com/en/pages/Beneficially%20relating%20elements.txt) to an [LLM](https://wiki.g15e.com/en/pages/Large%20language%20model.txt) seem to make useful, sustainable harnesses. - By contrast, the advantages of [Vector database](https://wiki.g15e.com/pages/Vector%20database.txt)-based [RAG](https://wiki.g15e.com/pages/Retrieval-augmented%20generation.txt) over are rapidly fading in many situations, because it offers little advantage in terms of "beneficially connecting elements." Of course, remain useful when there is enough data. Not building an agent (notes from around October 2025): - Perhaps a sufficiently widely used general-purpose agent will emerge during 2026. Just as became widespread in the <1990s>, might general-purpose agents become popular in 2026? If so, agents operating within individual websites or apps will find themselves in a strange position. - In the late 1990s, several small companies were making web browsers. They should have been making good websites instead. ## Articles - 2024-12-20 - [Building effective agents \ Anthropic](https://www.anthropic.com/research/building-effective-agents) ## See also - [AI and design](https://wiki.g15e.com/en/pages/AI%20and%20design.txt) - [Agent-computer interaction](https://wiki.g15e.com/pages/Agent-computer%20interaction.txt) - [Model context protocol](https://wiki.g15e.com/en/pages/Model%20context%20protocol.txt) - https://github.com/gpt-engineer-org/gpt-engineer - [Agentic coding](https://wiki.g15e.com/en/pages/Agentic%20coding.txt)