OpenClaw, Y Combinator's QM, and Hermes are three very different bets on how AI agents should work — solo vs. multiplayer, hosted vs. self-run. Here's what actually separates them, especially for teams living in Slack.

Every few weeks another "agent harness" ships, and it's getting harder to tell which one actually fits how a team works. Three currently define the space, and they're solving different problems.

OpenClaw ("Claw")

The open-source personal agent that went from a weekend project to hundreds of thousands of installs in months — reportedly the fastest-growing repo on GitHub at one point, with 340k+ stars. It runs on your own machine or server, ships with persistent memory, cron/heartbeat scheduling, and hooks into practically everything: mail, calendars, messaging apps, phone numbers, even a 1Password vault.

Pros

  • Deep personal integration — becomes a genuine "second brain" for one person
  • Fast-moving open-source community, huge plugin/skill ecosystem
  • Runs anywhere: your laptop, a home server, a Raspberry Pi

Cons

  • Built agent-first, human-second — it's designed around one owner
  • Multi-user and team governance are bolt-ons, not core design
  • Point it at a shared Slack and you're relying on discipline, not built-in guardrails, to stop it stepping on other people's threads or context

QM (Y Combinator's "Quartermaster")

The opposite bet: multiplayer by design, living inside Slack and the web, meant for a whole company to share. YC runs its own accounting, legal, events, and engineering work through it, and open-sourced the whole thing under MIT license.

Pros

  • Genuinely built for teams from day one — shared channels, shared context, one harness many people can talk to
  • Backed by real production use inside YC itself, across very different functions
  • Fast growth: 13,000+ GitHub stars within weeks of launch

Cons

  • Still version 0.1.x — YC's own announcement calls it "an experiment… early and has bugs"
  • Assumes real cloud infrastructure know-how to deploy and run safely
  • Powerful direction, early-stage execution — not yet something you hand production workflows to without supervision

Hermes

Sits between the two: a self-hosted agent with persistent memory and skills like OpenClaw, but built from day one for shared channels — Slack and Telegram natively, multiple people talking to the same agent in one thread, per-user context, scheduled/cron jobs, and delegated sub-agents for parallel work.

Pros

  • Multi-user by design, not retrofitted — several people in one Slack thread get coherent shared context
  • Self-hosted: no vendor lock-in, full data control, runs on whatever hardware you point it at
  • Skills and cron jobs make it practical for recurring team workflows (reporting, monitoring, drafting), not just chat

Cons

  • Smaller community than OpenClaw, less hype-cycle momentum than QM
  • Self-hosting means you own the ops, same as any self-hosted tool

Where this actually matters for teams

  • Single-player power vs. shared brain — OpenClaw wins for "my own life," QM and Hermes for "our team's workflows."
  • Maturity vs. control — QM's momentum is real but it's early software; a self-hosted setup trades some hype for stability and full data control.
  • Slack as the interface — the direction all three are converging on is clear: agents don't want their own app, they want to live where the humans already are. That's the actual unlock — not another dashboard, but one thread your whole team already checks.

None of these are "done." The interesting part isn't picking a winner — it's that a small team can now run infrastructure, ops, and even parts of product through an agent sitting in the same Slack (or Teams) channel they already use, without handing a third party their entire company's context.

If you're curious what a setup like this could look like for your team specifically, talk to us at ACW.