Intel / video

The Universal Remote Control for AI — Alex Hancock, Block

Source: youtube.com
Author: AI Engineer
Date: Published Sep 9, 2026

Context

The Client Protocol aims to let developers choose a coding agent independently of the editor used to control it. Its documentation defines a common communication interface, reducing the need for a separate integration for every editor-agent combination. The talk explains this as the missing connection between the user interface and the software running the agent.

A concrete example is Vercel's August 2026 announcement, which says the harness layer of its AI SDK now supports any ACP-compatible through a shared adapter. It also notes that ACP can limit how fully a harness exposes its internals, so a harness-specific adapter may integrate more tightly. Compatibility widens interface choice, while the depth of integration still depends on the adapter.

Terms in this piece · Glossary

AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.

Chapters

0:00Goose, MCP, and ACP
1:23Every harness has a bespoke interface
2:21Standards create ecosystems
3:02ACP, where it came from and how it works
6:17Two clients driving the same agent
7:24Remote transport and four movable pieces
9:26Why a client ecosystem raises quality

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