Spaces

Spaces is a desktop app that gives a team one shared space per project, where the people on the team and their AI agents work side by side in the same place. Chats, files, and routines live in the space rather than in one person's private thread, so context survives from one day to the next and is visible to everyone who is in the space. It is aimed at teams that already pay for an AI model and want that model's work to end up somewhere shared instead of scattered across separate laptops. The app installs like any other desktop program, is free to start, and needs no account until you want to bring other people in. The problem Spaces is built around is described plainly on the site: five people, five private chat histories. Everyone on the team has their own AI thread and none of them can see each other's. The project's context is scattered across browser tabs on separate laptops, so every new question starts by re-explaining the job. The result, in the site's own words, is that each person gets faster while the team does not. That is the gap Spaces targets. Individual AI assistants are useful, but the reasoning, drafts, decisions, and files they produce tend to stay inside a single person's chat. By making the project — not the person — the thing that holds context, Spaces lets the standing knowledge of a project accumulate in one shared location instead of being rebuilt from scratch each time someone asks a question. The core of the product is the shared space itself: one project, one conversation. Chats and files live in the space, not in one person's thread, so a decision made on Monday is still there on Thursday for everyone. The site shows a Product Launch space as an example, managed by a Launch Lead, with a Copywriter and a Researcher also working in it. Its chat list includes "Press list for launch week" with the Launch Lead, "Waitlist copy" with the Launch Lead, and "Battery claims vs launch brief" with the Researcher, each showing when it was worked on. Alongside Chats, the space carries Files, so the documents a project depends on sit next to the conversations about them rather than in someone's downloads folder. Specialists are how Spaces replaces a single general assistant with a small team of agents. The site's instruction is to hire agents, not one assistant: a researcher, a copywriter, a launch lead. Each agent keeps its own notes, and anyone in the space can put any of them to work. Each specialist gets its own instructions, memory, and tools, which is what allows it to research, draft, work through your inbox, or run a report. In the interface, agents are added and managed from an Agents panel that distinguishes Agents, Skills, and Tools, and the space lists who is in it under a line such as "Managed by Launch Lead · Also Copywriter · Researcher." The practical effect is that a task goes to the specialist suited to it, and the specialist's own accumulated context stays attached to that agent rather than being lost between sessions. Routines are the part of Spaces that keeps working when nobody is watching. A routine is described as something that runs on a schedule — check-ins, follow-ups, reminders — and the space shows them in a Routines panel with their state and timing. The example space lists three routines: a "Launch morning brief" that runs daily at 9:00 AM, a "Friday recap" that runs Fridays at 4:00 PM, and a "Waitlist follow-up" that is currently paused. Each entry shows when it will next run or when it last ran. The point of routines, as the site frames it, is that the space does the standing work and pings someone only when it needs a decision, so recurring project chores like morning briefs, follow-ups, and weekly recaps stop depending on someone remembering to ask. Spaces does not sell AI usage. You connect the ChatGPT, Claude, or Gemini account you already pay for, and Spaces becomes the place those models do the work — you are buying the space, not another subscription for tokens. The Providers panel shows Anthropic's Claude and OpenAI's ChatGPT as connected, with Google's Gemini through Google AI Studio available to add, and Ollama available to run a model on the computer itself. Keys stay on the machine, and you can switch provider per agent at any time, so one specialist can run on one model and another on a different one. The site is explicit that Spaces is not a reseller: the AI account belongs to the user, and the app is the workspace that account operates in. The architecture is deliberately split between the local machine and the cloud. Each person's agents, API keys, and connected accounts stay on their own computer and never go to the cloud. What the cloud carries for a shared space is the space itself — the chats, files, and routines — and nothing else. Shared-space content is encrypted at rest with a per-space key held in Google Cloud KMS, and only members of the space receive that key. Anyone who uses Spaces alone can keep everything on their own machine, because a cloud space is only needed when other people have to work in the same project. The built-in browser lets agents use the real web rather than a cached or limited view of it. They can research, click through pages, and stay signed in, and because the browser lives inside the app, the agent sees the page the user sees. The site illustrates this with a research example: a Launch brief and a Supplier spec at example.com/solar-backpack, with the space's Files containing "Solar backpack — claims" listing a 65W peak panel, a 20,000 mAh pack, and a weatherproof shell, alongside an instruction not to claim the product "charges a laptop in an hour." The scenario shows an agent reading a live supplier page and checking its claims against the brief and the files already in the space. A space starts as yours. Inviting someone turns it into a shared space that both people work in: the same chats, the same files, the same routines, with their agents alongside yours. The site defines a cloud space as a project space that lives in the cloud instead of only on your machine, so other people can work in it — and notes that you do not need one to use Spaces by yourself. Pricing is split across three options. Spaces itself is free: the full desktop app, unlimited spaces on your computer, specialists, routines, and playbooks, and your own AI keys with no account needed. Spaces Cloud is the paid tier for teams, priced at $10.99 per year per person, described as $0.92 a month and, in the FAQ, as $1.49 a month, and it adds spaces that live in the cloud plus shared chats, files, and routines, and the ability to invite anyone who has a seat, while keys and agents stay local. Enterprise is a conversation rather than a checkout: Spaces inside your own cloud, data that never leaves it, and help with the whole setup. Everyone who works in a shared space needs their own seat, because each person runs their own agents, so a team of five is $55 a year in total; anyone who only works alone stays free, and cancelling leaves the desktop app free on your own computer. Getting started follows three steps the site lays out. First, download Spaces — it is free and no account is needed, and it installs like any other desktop app. Second, connect your AI by pasting the ChatGPT, Claude, or Gemini key you already have; one provider is enough to begin. Third, open a space: name the project, put a specialist to work, and the space starts holding the context. Spaces runs as a desktop app on Apple silicon Macs and Windows PCs. The examples on the site point to a few concrete ways teams use it. A product launch is run from a single Product Launch space, where a Launch Lead, Copywriter, and Researcher share a press list, waitlist copy, and checks of battery claims against the launch brief. Research work happens in the built-in browser, with agents reading live pages such as a supplier spec and comparing them against files in the space. Routine work is scheduled rather than requested: a morning brief at 9:00 AM, a Friday recap at 4:00 PM, and a waitlist follow-up that can be paused and resumed. Teams that need everything inside their own infrastructure can run Spaces inside their own cloud through the enterprise option. Taken together, Spaces is a place where a project's chats, files, and scheduled work live together, and where each person's AI agents contribute into that shared context instead of into private threads. It keeps the AI accounts and keys people already pay for, keeps their agents on their own machines, and charges only for bringing other people into the same space. The value proposition is simple: the team, not just the individual, gets to benefit from the AI work being done.