Table of Contents
- Why does YC's QM harness send teams shopping for a replacement?
- Where does each QM alternative fit, ranked from one to five?
- Do you actually need a harness of harnesses like QM?
- How do QM and its alternatives handle secrets and isolation?
- Which QM alternatives are enterprise ready?
- How much work is running QM compared with a managed alternative?
- How do you move a team off QM without losing shared context?
- What problems do people report with QM on Hacker News and Reddit?
- What sources sit behind this ranking?
- Which Agent 37 path fits your team on day one?
- FAQ: which QM alternative questions come up most?
- What does QM do that Claude Code or Codex alone don't?
- Is QM free, and how do QM alternatives price for teams?
- Can I get QM-style isolated workspaces without self-hosting an open-source project?
- Does QM lock me into a specific model or harness?
- Which QM alternative is best for an agency reselling agents to clients?
Do not index
The best QM agent alternative for most teams is Agent 37: every person gets an isolated, always-on workspace running Claude Code, Codex, Pi, Hermes, or OpenClaw, from $3.99 a month managed, or provisioned per user with one API call. Agent 37 is not a fork of QM and does not ship QM's shared rooms interface; it is the managed infrastructure and API underneath per-user agent workspaces, so you skip self-hosting and secrets plumbing. If your team only needs a single-player coding agent, running Claude Code or Codex directly is a legitimate alternative too.
Key takeaways
- Agent 37 hosts three of the harnesses QM wraps: Claude Code, Codex, and Pi, plus Hermes, OpenClaw, and any Docker image, from $3.99 a month managed, or provisioned per instance through one API call.
- QM is YC's open-source multiplayer agent harness: per-employee isolated workspaces, shared rooms, and a switchable harness layer, but you self-host it or depend on a third-party host.
- Credential handling is the decisive security difference: on Agent 37, provider keys go directly to Anthropic or OpenAI and every instance runs in its own isolated container.
- Claude Code and OpenAI Codex are the strongest no-harness alternatives: each ships with its vendor's $20 per month consumer plan, so confirm current pricing before budgeting.
- Total cost of ownership should drive the decision: Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027, with cost and unclear value as leading causes.
Why does YC's QM harness send teams shopping for a replacement?
QM, short for Quartermaster, is YC's open-source multiplayer agent harness for work. It gives each employee an isolated AI workspace, adds shared rooms for collaboration, and wraps existing harnesses such as Pi, OpenCode, Codex, and Claude Code. Teams look for alternatives because QM is startup-first: self-hosted, young, and light on enterprise controls.
YC built QM for its own staff and reports using it across accounting, legal, events, and engineering, which explains the product shape: many non-engineers, one shared agent layer, and nobody who wants to install four CLIs. The source lives in the yc-software/qm repository on GitHub, and the launch thread on Hacker News is where most of the public debate happened. Searches for YC QM agent, QM harness, and QM GitHub all land on the same project.
The architecture is bring-your-own-harness and bring-your-own-model. QM does not replace Claude Code or Codex; it sits above them, gives each person a sandboxed workspace, and lets the team switch harnesses without reinstalling anything. Shared rooms let several people watch and steer the same agent run.
You can run QM three ways: locally on a laptop, self-hosted for your organization, or through a third-party hosted version. Teams start shopping for a QM agent alternative when one of four things bites: nobody wants to own the server, the fork drifts from upstream, security asks where the keys live, or an enterprise checklist asks for SSO and audit logs.
Where does each QM alternative fit, ranked from one to five?
Agent 37 ranks first because it delivers the per-user isolated, always-on workspace that defines QM, hosts the same harnesses, and costs from $3.99 a month with no self-hosting. Claude Code and OpenAI Codex follow for teams who can skip the multiplayer layer, then OpenHands for open-source control and Devin for a fully managed, single-vendor team agent.
- Agent 37: best when you need an isolated, always-on workspace per person without self-hosting. Managed instances start at $3.99 a month, and Agent 37 Cloud provisions a persistent instance per user with a single POST to /v1/instances. It runs Hermes, OpenClaw, Claude Code, Codex, and Pi, or any Docker image, with one-click deployment, and it hit #1 Product of the Day on Product Hunt. Honest limit: it does not ship QM's shared rooms; the collaboration layer is something you build on the chat API or the white-label dashboard.
- Claude Code: best when one engineer wants the strongest single-player terminal agent and no coordination layer at all. It is included with Claude Pro at $20 a month and the higher Max tiers, or billed per token through the Anthropic API; confirm current pricing on anthropic.com. Honest limit: no multiplayer rooms and no persistence beyond the machine running it, so it stops when the laptop sleeps unless you host it somewhere.
- OpenAI Codex: best when your team already pays for ChatGPT and wants cloud-run tasks plus an open-source CLI. Codex is included with ChatGPT Plus at $20 a month, with Pro, Team, and Enterprise above it; confirm current pricing on openai.com. Honest limit: it is built around OpenAI models, so the harness switching that defines QM is not on offer.
- OpenHands: best when you want an open-source agent platform you can read, audit, and self-host. It is MIT-licensed, runs through Docker, and All Hands AI also sells OpenHands Cloud with usage-based billing rather than a flat seat price. Honest limit: self-hosting puts secrets, updates, and uptime back on your team, which is the same burden that pushes people away from QM.
- Devin: best when you want a fully managed, single-vendor team agent with commercial support behind it. Cognition bills in agent compute units with team and enterprise plans, so cost tracks how much the agent works rather than how many people log in. Honest limit: it is a closed system with one harness, so there is no bring-your-own-harness or bring-your-own-model path.
Option | Best for | Pricing or format | Standout limit |
Agent 37 | Per-user always-on workspaces, managed | From $3.99/mo managed; per-user instances via one API call | No built-in shared rooms UI |
Claude Code | Single-player terminal coding agent | Included with Claude Pro ($20/mo) and Max; API billing available | No multiplayer, no persistence off the host machine |
OpenAI Codex | Teams already on ChatGPT | Included with ChatGPT Plus ($20/mo), Pro, Team, Enterprise | OpenAI models only |
OpenHands | Auditable open-source self-hosting | MIT license; OpenHands Cloud is usage-based | You run infra, secrets, and updates |
Devin | Managed single-vendor team agent | Agent compute units; team and enterprise plans | Closed, one harness, usage-driven cost |
QM (baseline) | Multiplayer rooms for startups | Open source; you pay for compute and models | Self-host or third-party host; startup-first controls |
Do you actually need a harness of harnesses like QM?
Not always. QM's value over Claude Code or Codex alone is coordination: isolated workspaces per teammate, shared rooms, and switching harnesses without reinstalling. If one developer runs one agent on one laptop, the raw harness is enough. The moment agents must run while people are offline, or several people share them, you need persistence and isolation.
A simple decision rule: count the people and count the hours. One person, working hours only, laptop open: install Claude Code or Codex and stop reading. Several people, or any job that should run at 3 a.m., and you need an isolated machine per workspace that stays on.
That is why the underlying harnesses are a real alternative to QM rather than a different category. Agent 37 hosts Claude Code on a persistent instance where the repo and sessions survive between runs, and it does the same for Codex and Pi. The Pi template signs in with a Claude, ChatGPT, or Copilot subscription you already pay for, or runs on the managed model with no account at all.
The multiplayer rooms are the part to price separately. If your team mainly wants to see each other's runs, a shared repo plus per-user instances covers most of it; if you want several humans steering one agent in real time, QM is still the most direct route.
How do QM and its alternatives handle secrets and isolation?
QM keeps credentials inside your own deployment, which is strong on paper and only as safe as the server you run it on. Managed alternatives differ in whether the vendor can see your model keys. On Agent 37, keys go directly to Anthropic or OpenAI, and each instance runs in its own isolated container with its own agent37.app subdomain.
Self-hosting QM means your provider keys sit in your own environment, which security teams like until they ask who patches the box and who audits access. The identify, protect, and detect functions of the NIST Cybersecurity Framework apply in full to a server holding API keys for every employee's agent, and most startups do not staff that.
Managed options move the question to the vendor. Agent 37's model is that API keys go directly to Anthropic or OpenAI and the company never touches them, and each instance runs in its own isolated container. Each instance also gets its own subdomain on agent37.app, so one workspace cannot sit on another's URL. Devin and Codex cloud run inside their vendors' environments under their enterprise terms; self-hosted OpenHands behaves like QM.
Which QM alternatives are enterprise ready?
Self-hosted open-source options, QM included, leave SSO, RBAC, and audit logs for you to assemble. Devin and the enterprise tiers of Claude Code and Codex come closest on vendor governance. Agent 37 covers the infrastructure side with automatic runtime updates, security patches, isolated instances, and dedicated support for teams; confirm identity requirements with each vendor first.
Enterprise readiness has two halves: identity and governance on one side, infrastructure hygiene on the other. QM's startup-first design covers neither out of the box, and the 'QM alternative for the enterprise' posts ranking for this search are mostly single-vendor pitches that answer the first half only.
On the infrastructure half, Agent 37 ships automatic runtime updates, security patches, isolated per-user instances, and dedicated support for teams. Agencies and SaaS teams that need an agent behind every customer login use the white-label dashboard built on the public Agent37 API, a multi-tenant app for creating and managing instances with native chat under their own brand. For SSO, RBAC, and audit logs, ask every vendor on this list for a written answer; McKinsey's State of AI research is consistent that AI value scales with workflow redesign and governance, not with tool count.
How much work is running QM compared with a managed alternative?
Running QM yourself means provisioning a server, installing each harness, managing provider keys, keeping your fork current with upstream, and being on call when it breaks. A managed alternative collapses that to one click or one API call. On Agent 37, an instance provisions with a single POST, and managed plans start at $3.99 a month.
Total cost of ownership is where the ranking pages go quiet. An always-on worker on a hyperscaler VM lands near $25 a month on the smallest sensible shape before you wire up storage, scheduling, and networking yourself, and that is for one workspace, not one per employee. Agent 37's pricing page lists its managed plans from $3.99 a month, with no lock-in and cancel anytime.
The operational gap shows up in time as much as money. Agencies and consultants that need an agent per client use Agent 37's white-label APIs and preloaded templates instead of building and maintaining a server for each one. That gap between building servers and selling seats is the realistic cost of a fork you maintain yourself.
Gartner's prediction that more than 40% of agentic AI projects will be canceled by the end of 2027 names escalating costs and unclear business value as main drivers. A platform you must keep current with upstream is exactly the kind of cost that escalates quietly.
How do you move a team off QM without losing shared context?
Migrate the workspaces, not the harness. Each harness QM wraps keeps its own project files, sessions, and config, so export those per person, provision an isolated instance per teammate, and point the same harness at the same repo. Run QM and the new host side by side for a sprint, then retire the shared rooms once chat history is archived.
Nothing in the ranking pages covers migration, so here is the sequence we would run. First, inventory which harness each person actually uses inside QM, because that determines the template they need next. Second, copy each person's working directory and harness config; on Agent 37 the browser-based terminal and file browser let you move those files into the new instance directly.
Third, provision one instance per teammate through Agent 37 Cloud, which gives each user an always-on sandbox with one API call, and point the same harness at the same repository. Fourth, run both systems for one sprint and compare outputs. Fifth, archive room transcripts and retire QM.
Coexistence is also fine. Teams that love QM's rooms but dislike its hosting can keep the rooms for live sessions and move unattended jobs, scheduled checks, and client-facing agents to persistent instances.
What problems do people report with QM on Hacker News and Reddit?
The recurring themes are maturity, maintenance burden, and an unconventional way of integrating harnesses that some engineers found hard to reason about. Commenters also questioned whether a startup-internal tool generalizes to other teams. None of this makes QM bad; it makes it a project you adopt with eyes open and a plan for keeping it current.
Three complaints come up repeatedly. The harness integration takes an unusual approach that several engineers described as hard to follow when something breaks. The project is young, so breaking changes and thin documentation are a known risk for anyone running a fork. And the maintenance burden lands on whoever volunteered to self-host it, which in a startup is usually one person.
On pricing, QM itself is free and open source under the license in its repository; the real costs are compute, model tokens, and that person's time. Alternatives price by seat, by instance, or by agent usage, and the comparison table above shows which is which.
What sources sit behind this ranking?
We compared each tool's published pricing and plan pages, its public documentation on harness and model support, and its stated deployment options, plus the public QM repository and launch discussion for the baseline. Agent 37 figures come from its own pricing and solutions pages. We did not run private benchmarks, and competitor prices should be confirmed on each vendor's site.
Which Agent 37 path fits your team on day one?
Pick the path that matches your team. Individuals and operators deploy a managed OpenClaw or Hermes instance in one click from $3.99 a month. Teams and agencies provision per-user instances through Agent 37 Cloud with one API call, or use the white-label APIs and preloaded templates to resell under their own brand. Cancel anytime, no lock-in.
FAQ: which QM alternative questions come up most?
What does QM do that Claude Code or Codex alone don't?
QM adds a coordination layer on top of those harnesses: an isolated workspace per employee, shared rooms where several people can watch and steer one agent, and the ability to switch between Pi, OpenCode, Codex, and Claude Code without reinstalling. Claude Code and Codex alone are single-player tools tied to the machine running them.
Is QM free, and how do QM alternatives price for teams?
QM is open source and free to run; you pay for compute, model tokens, and the time to self-host and maintain it. Agent 37 plans start at $3.99 a month, and you bring your own API keys for the model. Claude Code and Codex are bundled with $20 per month consumer plans, OpenHands Cloud is usage-based, and Devin bills in agent compute units.
Can I get QM-style isolated workspaces without self-hosting an open-source project?
Yes. Agent 37 Cloud provisions an isolated, always-on instance per user with a single API call, running Claude Code, Codex, Pi, Hermes, OpenClaw, or any Docker image with one-click deployment. You get the per-person isolation QM offers without owning a server, but the shared rooms UI is not included.
Does QM lock me into a specific model or harness?
No. QM is bring-your-own-harness and bring-your-own-model by design. Among alternatives, Agent 37 keeps that flexibility and lets you pay for the model three ways: a managed model with no provider account of your own, your own provider key sent directly to Anthropic or OpenAI, or an existing Claude, ChatGPT, or Copilot subscription on the Pi template. Codex and Devin are tied to a single vendor.
Which QM alternative is best for an agency reselling agents to clients?
Agent 37 is built for that case: the white-label dashboard runs entirely on the public API, each client gets an isolated instance on its own agent37.app subdomain, and agencies resell under their own brand. The APIs and preloaded templates let an agency launch a branded agent product without building or maintaining the hosting itself.