"Multiplayer AI" is a simple idea that most AI products still get wrong. It means humans and AI agents for business working in the same place, on the same record, at the same time, not a pile of single-player chat windows where each person talks to their own AI and copies the results to wherever the real work lives. In a multiplayer setup, an agent's output lands where a colleague can open it, continue it, or reject it, and the history of who did what stays attached to the work.
That distinction matters more than model choice for most businesses. A brilliant answer trapped in one person's chat is still a one-person tool. So this roundup ranks platforms on how well people and agents actually share the work, not on demo quality. We go deeper on why this shift matters in how humans and AI agents actually work together.
One disclosure up front: we make Dock, the last entry on this list. We have kept the same format for everyone, one real strength and one honest limitation each, and every number about another product links to its source.
1. Dust
What it is. Dust is a platform for building custom AI agents for your company, connected to your internal data and running on multiple frontier models. Teams build agents for specific jobs and share them in collaborative workspaces.
Who it is for. Teams with someone willing to play builder: the person who sets up agents for everyone else. Dust calls them AI operators, and the product is honest about needing one.
Pricing. As published on dust.tt/pricing: a free tier with 500 lifetime credits, Pro at 24 euro per user per month billed yearly (30 euro monthly), Max at 120 euro per user per month billed yearly (150 euro monthly), and a custom tier for larger teams.
Strength. Model flexibility with shared context. Agents built once are usable by the whole workspace, and the collaborative pods give teams shared context rather than private sessions.
Limitation. Agents in Dust are tools you invoke more than colleagues who act. The proactive half of the story, agents that own an objective and come back to you, is still mostly yours to assemble.
2. Gumloop
What it is. Gumloop is an agent and workflow builder: agents connect to your apps, run on triggers and schedules, and automate multi-step processes like lead enrichment, CRM updates and scheduled reports.
Who it is for. Operations-minded people who think in flows. If your work looks like "when X happens, do these six things across four tools," Gumloop is built for exactly that shape.
Pricing. As of September 12, 2026, per gumloop.com/pricing (verified in a browser): Pro starts at 37 dollars per month with 20,000 credits included, unlimited seats, and a 14-day free trial, with a custom tier above that. The free-forever plan with 5,000 monthly credits that third-party roundups describe does not appear on the live pricing page today.
Strength. Usage-based pricing with unlimited seats. Your whole team can be in the workspace without a per-head charge, which is genuinely rare on this list.
Limitation. It is an automation canvas more than a shared workspace. The agents run flows; the record of the work, and the conversation around it, mostly live in the other tools the flows touch.
3. Notion Custom Agents
What it is. Notion's custom agents run inside the workspace your team may already use: they fire on schedules, Slack messages, email or database changes, act on scoped Notion data, and can be shared org-wide.
Who it is for. Teams already living in Notion. If your docs, wikis and databases are there, agents that act on that data without an export are the shortest path to multiplayer AI you will find.
Pricing. As published in Notion's help center: agent usage is billed through credit bundles at 10 dollars per 1,000 credits as of May 2026, as an add-on to paid plans, with credits resetting monthly.
Strength. The shared record already exists. Agent output lands in the same pages and databases your team reads, with Notion's existing permissions deciding what an agent can touch.
Limitation. Usage-metered costs take watching, and the agents are bounded by Notion. Work that happens outside it, your inbox, your codebase, a browser session, is reachable only through connectors, not natively.
4. Lindy
What it is. Lindy builds AI agents that live where your team already talks: they answer in Slack threads and mentions, and automate work across sales, support, operations and more.
Who it is for. Slack-first teams that want agents in the flow of conversation, answering and acting where they are mentioned, rather than in a separate app.
Pricing. As published on lindy.ai/pricing: Plus at 29.99 dollars per user per month with 3,000 credits, Pro at 99.99 dollars with 15,000 credits, Max at 199.99 dollars with 35,000 credits, and a custom tier above that. Credits pool across the team.
Strength. Presence. An agent that responds in the thread where the question was asked removes the tab-switch entirely, and the shared credit pool means the whole team draws on one allowance.
Limitation. Chat is the record. Slack threads scroll away, and work that needs a durable artifact, a table that grows, a doc that versions, has to live somewhere else.
5. Dock
What it is. Dock is a workspace where a team of proactive agents works alongside you and your people. Agents are named members of the team with roles, objectives they own, memory and lessons that survive between sessions, and schedules they run without being prompted. Work lands in shared docs, tables and an inbox that humans and agents both read and write.
Who it is for. Founders and lean teams who are done being the middleman: the person who pays for several AI tools and still does all the gluing between them.
Pricing. It's free to try, and new signups get a week free.
Strength. The agents are genuinely proactive and genuinely shared. They hand work to each other, report back on a reporting line, and run on your own Claude or Codex plan, so the models improve without a platform markup on every call. There is a macOS app, and your people work in the same workspace the agents do.
Limitation. Dock is the youngest product on this list. The integration catalog is smaller than the automation veterans above, and some capabilities are still rolling out to new signups in waves.
AI agents for business, side by side
| Platform | Agents are | Shared record | Pricing model |
|---|---|---|---|
| Dust | Custom-built, invoked | Collaborative workspaces | Per seat, credit allowance |
| Gumloop | Trigger-driven flows | Lives in your other tools | Usage-based credits, unlimited seats |
| Notion Custom Agents | Trigger-driven, in Notion | Notion pages and databases | Credit bundles, add-on |
| Lindy | Responsive, in Slack | Slack threads | Per seat, pooled credits |
| Dock | Proactive, with roles and memory | Shared docs, tables and inbox | Free to try, a week free for new signups |
FAQ
What is multiplayer AI? Humans and AI agents working in one shared place, on one shared record, at the same time. The test: can a colleague open, continue or audit what an agent produced without anyone forwarding a transcript?
Are AI agents for business different from chat AI? Yes, in kind rather than degree. Chat AI answers when asked and forgets when the window closes. An agent for business holds a role and an objective, remembers decisions, acts on schedules, and leaves its work where the team can see it.
Do I need to replace my current tools to go multiplayer? No. Every platform here connects to existing tools. The real change is where the work ends up: pick the platform whose shared record you would actually be happy reading every morning.
Stop being the middleman. Try Dock at trydock.ai.