QM and a swarm agree on ownership, self-hosting, model choice, durable computers, Slack, memory, and background work. The honest difference is the organizational model. QM isolates an agent workspace around each person or room so people can work independently and collaborate in shared scopes. A swarm organizes durable specialists around delivery: a lead routes tasks, workers coordinate across dependencies, and reviewers challenge results.
The real question isn't which agent is smarter today — it's where the learning accrues, and who owns it.
QM and agent-swarm.dev overlap deeply: both are open source, self-hosted, Slack-native, multi-harness systems with durable sandboxes, memory, schedules, and company controls. The difference is coordination. QM gives each person and room its own scoped agent workspace; agent-swarm.dev gives the company a lead and specialized workers that share a task system, chain dependencies, hand work off, and review one another.
Each employee and each room gets an isolated workspace with its own agent state.
People work independently in personal scopes or collaborate with an agent in shared rooms.
Memory, files, permissions, crons, apps, and sandboxes are scoped to a person or room.
One org security posture controls approvals, provenance screening, and command policy.
A useful company fleet of personal and shared agent workspaces.
Each worker has a durable specialty and identity inside one coordinated operating team.
A lead decomposes outcomes; dependencies, messages, and parent-child tasks move work between agents.
Workers keep distinct identities while searchable institutional memory is reusable across the swarm.
Lead-gated actions, scoped tools, isolated runtimes, and review agents govern delivery work.
A delivery organization whose specialists and operating knowledge improve together.
A useful comparison says where each tool actually wins. agent-swarm.dev is for a persistent, owned operating team; the alternative wins when its shape fits your job better.
QM is one of the closest open-source comparisons to agent-swarm.dev. It already offers durable per-scope computers, Slack and web continuity, memory, crons, shared skills, internal apps, multiple harnesses, and unusually explicit organization-level security postures. Its isolation model is attractive when every employee or project needs an independent agent that cannot disturb another scope. agent-swarm.dev takes on more coordination machinery because it optimizes for a different outcome: durable specialists operating as one delivery organization, with lead routing, cross-agent handoffs, task dependencies, and reviewers built into the work graph.
agent-swarm.dev is open source and deploys in minutes. Give it a real Slack, GitHub, or repo task for a day. The useful question isn't which model is best — it's what you can hand to a team that keeps the learning.
Yes. They solve much of the same company-agent infrastructure problem and share open-source, self-hosted, Slack-native, multi-harness foundations. Choose between them based on topology: QM centers isolated agents for people and rooms; agent-swarm.dev centers a coordinated lead-and-workers organization.
QM scopes a complete workspace — memory, files, permissions, crons, apps, and sandbox — to each person or room. agent-swarm.dev scopes durable identities to specialized workers, then connects their work through lead routing, dependencies, messages, handoffs, and review.
Yes. QM lists Pi, OpenCode, Codex, and Claude Code over one core. agent-swarm.dev supports Claude Code, Codex, opencode, and pi, with routing that can select a harness or model for a worker or task. Neither requires one model vendor.
“The moat is not access.
It is accumulation.”
This page compares product categories and operating models from public product documentation and repositories. We do not claim the tools are interchangeable.
See how agent-swarm.dev stacks up against the rest.
Talk with us about Cloud, or fork it on GitHub. Either way, your agents start compounding today.