The best AI agent platforms for teams in 2026: an honest comparison

Most AI tools were designed for one person in one chat. That works until a second person needs the same context, the same connected tools, or the same report every Monday. The questions below separate platforms built for individuals from platforms built for teams.

We make Type, so read our take with that in mind. We have tried to describe every product, including our own, by what its own pricing pages, documentation, and repositories say, and to be specific about where each one is the better choice.

Prices below are the published list prices as of September 23, 2026. Where a vendor does not publish a price, we say so rather than estimate.

Type organizes work into Spaces, where people and agents share channels, files, skills, memory, and automations. When one person gets great work out of the agent, the next person starts from there instead of from a blank chat.

Admins connect a tool once and assign it to the Spaces that need it, from nearly 1,000 native integrations across 16 categories plus a custom API connector. Team members can connect supported Claude or Codex subscriptions so eligible requests don't use workspace credits, and plans start at $50 per month for two team members.

Type is hosted and runs in the browser, on desktop, and in Slack. It is not self-hosted, and it runs Claude and Codex rather than every model on the market.

Viktor is a single super agent your team talks to in Slack or Microsoft Teams. Its permissions are tied to individual users, and you pay direct API prices on every request on top of any AI subscriptions you already have.

It is a strong option if your team lives in chat and wants one assistant there. Teams that want a dedicated workspace, org-level integration management, or to use existing Claude or Codex subscriptions will find the tradeoffs sharper as usage grows.

Lindy is a hosted AI assistant in Slack that connects to your tools to draft email, handle meetings, update the CRM, and build reports. Skills, routines, files, and its meeting library belong to the workspace, and actions with external impact, such as sending an email or updating a ticket, wait for approval.

Pricing is published: Plus is $29.99, Pro $99.99, and Max $199.99 per user per month, and each seat adds credits to a shared pool, with Enterprise through sales. Every user needs a paid seat, and task costs in credits vary widely, which makes monthly spend harder to predict. Lindy is hosted only.

Glean combines search across company data with an assistant and agents, and its results respect existing permissions so people only see what they are allowed to see. It lists 275+ connected apps and data sources, supports 40+ models, and lets customers bring their own model keys.

It can run as Glean-hosted SaaS or in your own GCP or AWS account, still managed by Glean. Pricing is not published: it combines per-user seats with credits for agent runs and premium models, sold through demos. That makes it a heavier lift for a small team that wants to start this week.

Cowork is Anthropic's agent for knowledge work in claude.ai. It works through tasks with your connectors and files, runs in an Anthropic-hosted cloud sandbox by default or locally on your machine, and supports scheduled tasks.

It is priced through Claude plans, from Pro at $20 per month to Team seats from $25 per member per month. The limit for teams is by design: Anthropic states that sessions can't be shared with others, so the work stays with the person who started it.

Buzz is an Apache 2.0 open-source project from Block that puts people and AI agents in shared channels. The hosted service at buzz.xyz is a free developer preview, and you can self-host the relay.

Agents run as local processes on the desktop app, so an agent stops when that machine sleeps, and you supply and pay for the model. Its harness support is broad, which suits developers; non-technical teams will find more setup than they want.

OpenClaw is an MIT-licensed assistant you run on macOS, Linux, or Windows, reachable through the chat apps you already use. It works with hosted providers and local models, and it is free: you pay only for models and hosting.

Its docs support shared team setups with roles, channel allowlists, and a guarded mode that sends commands to a human before they run. You own setup, security, and operations, though, and the docs describe one deployment as one trust domain, so teams that don't fully trust each other should run separate deployments.

If you are still deciding whether to build agents in house, weigh how much of the work is the agent itself. Permissions, integrations, memory, scheduling, and hosting usually take far more effort than the prompt, which is why most teams that aren't selling agents buy a platform.