Azmi Hayaza
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Agents, plainly · Part 2 of 3 · Aug 2026 · Part 1

From chat to a staff of agents

The fastest way to feel the shift: in 2024 the best AI product was a glorified search box. In August 2026 the loudest launch is a team of agents with their own computer that keeps working at 2am. That's four eras in two years.

The chat era — 2022 to 2024

ChatGPT, Claude, Copilot: you ask, it answers. The interface was a search box and the model was the product. Everyone sat equally behind the wheel, which is why the gap I keep writing about didn't exist yet.

The coding-agent era — 2025

Claude Code began as one engineer's side project in his first month at Anthropic and defined a category: give an agent the files, a terminal, and a goal, and it builds. MCP gave models a standard plug for tools. The era happened in public, inside developer tools.

The personal-agent era — 2026

OpenClaw (≈390k GitHub stars) and Hermes Agent (≈237k stars, MIT) brought the agent out of the terminal: one agent, one memory, across Telegram, Discord, Slack, WhatsApp, Signal, and email. The chat products grew up too — Claude Cowork runs Claude Code's engine aimed at knowledge work, and ChatGPT Work pulls in your team's tools. And the harness layer got serious: DeepSeek Harness shipped its developer preview — everything is a plugin — while Pi shipped as a minimal terminal harness.

The orchestration era — now

Grok Bot (SpaceXAI, formerly xAI) launched early beta on 11 August 2026: your team of always-on agents, each with its own computer, working inside apps 24/7, priced for businesses. The promise is no longer “one agent answers.” It's “a staff that keeps working while you sleep.”

How they stack

You — the professional the one with the goal: you compose the staff, you approve the steps Teams of agents Grok Bot — always-on agents · their own computer · work inside apps · 24/7 04 Agents you run OpenClaw · Hermes Agent · Claude Code · Claude Cowork · ChatGPT Work 03 Agent harnesses and protocols DeepSeek Harness (developer preview) · Pi · MCP · the loop · memory · sandbox 02 Raw foundation models GPT-5.x · Claude · Grok · Gemini · DeepSeek V4 (Flash and Pro) · Hermes (open weights) 01

How the layers stack. Each layer composes the one below — most people will only ever touch the top two, which is exactly the point of the bottom two.

Raw models are the foundation — GPT-5.x, Claude, Grok, Gemini, DeepSeek V4 in Flash and Pro. On top sits the harness: the loop, memory, tools, and permissions that turn a brain into a worker. That's where DeepSeek Harness and Pi live, and where I spend my days. Above that are the agents people actually run — OpenClaw, Cowork, ChatGPT Work, Claude Code. And at the top, the newest layer: orchestration of many agents at once, the always-on team.

Two notes worth keeping. First, the same loop runs at every level — memory, tools, a loop, a guardrail — the packaging is what changes. Second, the models at the bottom are becoming commodities (DeepSeek just shipped V4 Pro at scale for a fraction of the cost of its peers). The leverage has moved up the stack, into the harness and the orchestration. That's not an accident; it's where the builders went.

Own the harness and you ride every product wave that comes — or you build one of your own. Part three: what professionals actually do with all of this now.

Sources: xAI — Introducing Grok Bot · VentureBeat on Grok Bot · Claude Code history · OpenClaw · Hermes Agent · Pi · DeepSeek Harness · Reuters on V4 Pro