OpenSwarm

OpenSwarm is a free AI desktop for Mac where many agents work at once. Rather than giving you a single assistant in a single chat window, OpenSwarm gives each agent its own browser, apps and tools, and places the entire swarm on one canvas. You can watch every agent work in parallel, step in whenever you want, and pick up the finished work when it is done. Its stated promise is simple: anything you do on your computer, a swarm can do for you, because the agents use your browser, your apps and your connected tools, so they finish the whole task instead of telling you how to do it. Most AI tools still give you one agent in one chat. That agent works on a single task while you wait, and as OpenSwarm puts it, anything bigger than that ends up back on your plate. The framing is that AI has been bolted onto the computer rather than built into it, so the tool always sits beside the work instead of doing the work. OpenSwarm's answer is an AI-first operating system where agents run the whole machine: apps create themselves, browsers control themselves, and swarms of agents work together. The shift the product describes is from you doing one task at a time to orchestrating dozens in parallel, with you at the helm. The site reports 10,672 people on the waitlist and carries a 'Backed by' link to joinef.com. The first capability OpenSwarm highlights is browsing in parallel. When you ask a question such as 'Find the best food in Berkeley', OpenSwarm opens six browsers at once, and each agent reads its own set of pages. Instead of one agent paging through results sequentially while you wait, several agents divide the reading between them and work at the same time. Because each agent runs its own browser rather than sharing the one you are using, research that would normally be a long serial process becomes a broad, simultaneous sweep. The same behaviour underpins the bigger jobs: the site describes swarms for work that would otherwise require you to open many tabs, read many sources and stitch the answers together by hand. A second capability is apps on request. If you type 'Make me an app for my daily brief', an agent builds the tool for you, and it then sits in your launcher next to the rest. This means the software you need does not have to already exist: you describe the tool you want in plain language, and OpenSwarm produces it as an app inside your desktop. For everyday work this removes the gap between realising you need a small utility and actually having one. The apps land in the same launcher as everything else in OpenSwarm, so they become part of your environment rather than one-off scripts you have to remember, run and maintain yourself. OpenSwarm also ships an agent marketplace: apps that your agents use inside OpenSwarm to find leads, validate problems and more. Lead Finder is an app for finding your next customers with five agents. Problem Validator takes a problem you describe and has agents search Reddit, X, Hacker News and review sites for real people who have it, using six agents. Post Harvester lets you paste a profile, after which agents harvest the posts and turn them into a knowledge base you can talk to, using three agents. Social Footprint Finder takes a name or a handle and has agents find public profiles across the web, again with six agents. Each marketplace app is a packaged, multi-agent workflow: you supply the input, the swarm does the searching, and you get back something structured, whether that is leads, evidence of demand, a browsable knowledge base, or a set of profiles. Beyond individual jobs, OpenSwarm is positioned as one desktop for every team, where you hand the repetitive, multi-step work to a swarm whether you sell, run operations, hire or research. Its sales and outreach example is illustrative: an agent team can find the right people, learn what they care about, and have a first email ready for each one. The prompt shown on the site is 'Find 50 Series A fintech startups in New York and draft a first email to each founder', and the workflow reports progress toward 50 leads. The website groups the same pattern under Operations, Recruiting and Research, treating each as a domain where a swarm can take over the repetitive, multi-step portion of the job while the person stays in charge of direction. The way all of this fits together is consistent across every example. You describe what you want in natural language; OpenSwarm spins up multiple agents; each agent receives its own browser, apps and tools; and the whole swarm is visible on a single canvas. You can watch the work happen, intervene at any point, and collect the finished output at the end. Because the agents operate your browser, your apps and your connected tools, they act inside the environment where the work actually lives rather than in a separate chat box. OpenSwarm describes this as a swarm of agents in the same place you work, with the desktop itself acting as an infinite canvas for parallel work. The stated benefits follow from that structure. Work that used to be sequential becomes parallel, so a task that needed one agent and a long wait is instead split across many agents running at once. Anything bigger than a single question no longer ends up back on your plate; the swarm carries it through to finished output, and you stay at the helm, deciding what to run and stepping in where judgement is needed. Because agents use your actual browser, apps and connected tools, they finish the whole task rather than telling you how to do it. And because capability is packaged as marketplace apps with a fixed number of agents, the work is repeatable, since the same app can be pointed at a new problem the next day. Concrete scenarios appear throughout the site. For research, ask for the best food in Berkeley and six browsers open in parallel, each reading its own set of pages. For tooling, ask for an app for your daily brief and an agent builds it into your launcher. For idea validation, describe a problem and Problem Validator sends six agents across Reddit, X, Hacker News and review sites to find real people who have it. For prospecting, run 'Find 50 Series A fintech startups in New York and draft a first email to each founder', with Lead Finder supplying five agents. For audience research, paste a profile into Post Harvester and three agents turn the posts into a knowledge base you can talk to. For identity checks, give Social Footprint Finder a name or handle and six agents locate public profiles across the web. Text Agents, Call Agents and Verbal Hotkeys are listed as coming soon. OpenSwarm is built for people whose work involves repetitive, multi-step computer tasks. Sales and outreach, operations, recruiting and research are the four team contexts the site names explicitly. The sales workflow shown on the site works with LinkedIn, Crunchbase, HubSpot and Gmail, and the page displays icons for Apple Messages, FaceTime, ChatGPT, Claude, Safari and Calendar alongside the OpenSwarm logo. Pricing is stated plainly: OpenSwarm is described as a 100% free AI desktop for Mac, and joining the free waitlist is the current route to early access. Early-access updates arrive by email and can be unsubscribed at any time, and the site reports 10,672 people already on the waitlist. OpenSwarm's core proposition is that you should not have to bolt AI onto your computer one chat at a time. It is a free AI desktop for Mac where a swarm of agents, each with its own browser, apps and tools, works in parallel on one canvas while you direct and intervene. From parallel browsing and apps built on request to a marketplace of multi-agent apps for lead finding, problem validation, post harvesting and social footprint discovery, OpenSwarm turns the desktop into an infinite canvas for orchestrated work.