Teamski vs Dust: multiplayer AI compared (2026)

Dust and Teamski share the same core idea — multiplayer AI, where a team works with shared agents instead of private chatbots. If you're comparing the two, the real question isn't the concept; it's who each one is built for. Here's an honest breakdown.

The same idea, a different audience

Dust is a powerful, well-funded platform aimed at mid-market and enterprise teams. You build custom assistants, wire them into a wide tool stack, and roll them out across a company. It's deep, flexible, and priced per seat for organisations with budget.

Teamski is built for small teams who want to start now, for free. The AI is a shared teammate that already lives in your channels — no assistant to configure before you get value. It connects to your tools, remembers per channel, and runs on fast free models by default.

Where Dust is the better pick

• You're a larger company with budget and an IT/ops team to set it up.
• You want to build many custom, deeply-configured assistants.
• You need enterprise features, procurement, and a big integration catalogue.

Where Teamski is the better pick

• You're a small team, a startup, or a student/indie team who wants value in minutes, not a rollout.
• You want it free to start — no per-seat bill as you add people.
• You want the agent already in your channels, not an orchestration layer to configure first.
• You want simple over powerful-but-heavy.

Pricing

Dust is a paid, per-seat enterprise tool. Teamski is free to start, unlimited people on the free plan, and prices its paid tier per project rather than per seat.

The short version

Dust is excellent if you're an enterprise ready to invest in a configurable AI platform. If you're a small team who wants a shared AI teammate that's simple and free to start, that's Teamski. Try it free.