The best AI agent platforms for teams in 2026

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 and developers from platforms built for teams.

We make type.com, so read our take with that in mind. We have described every product, including our own, using its own pricing pages, documentation, and repositories as of October 15, 2026, and we say where each one is the better choice.

Frameworks such as LangGraph, CrewAI, and the OpenAI Agents SDK are code libraries. Your engineers build the agent with them and run it on your own infrastructure. Managed agent runtimes such as Claude Managed Agents, Amazon Bedrock AgentCore, and the OpenAI Agents API host the agent loop and a sandbox, but developers still build the product, users, and interface around them.

Enterprise agent builders such as Microsoft Copilot Studio and Salesforce Agentforce live inside a suite your company already runs, and are strongest on that suite's data. Team agent platforms such as type.com, Lindy, Viktor, Glean, and Claude Cowork are ready for business teams, with connections, triggers, and an interface included. Self-hosted software such as OpenClaw, Buzz, and n8n's Community edition is free to run, and you operate it.

Prices are the published list prices on October 15, 2026, in US dollars. Where a vendor publishes no price, we say so rather than estimate.

Per-user pricing is easy to budget but grows with headcount, and Lindy now bills every active user. Credits and actions track usage, but a credit means something different on each platform, so test real tasks before you commit. Compute by the hour, as with Claude Managed Agents or AgentCore, adds to model tokens and suits developers who can measure their workloads.

Flat plans are the easiest to predict. type.com plans include team members and a pool of AI usage metered at the provider's published API rates, and members can connect their own Claude or ChatGPT subscriptions so eligible runs don't draw on that pool at all. Open-source options cost nothing to license, but you pay for models, hosting, and the time to run them.

type.com is a managed agent platform for a team's own work. People and agents share channels, files, skills, memory, and connections in Spaces. Managed agent automations start from a schedule, Slack, GitHub, Linear, a webhook, email, or RSS, and each run uses the Space's connections and skills in an isolated sandbox, then leaves a thread the team can read and continue.

Admins connect a tool once and assign it to the Spaces that need it, from nearly 1,000 native integrations plus custom APIs. Scheduled runs act as the person who created the automation, threads can be private, and a schedule pauses after three failed runs in a row. Plans start at $50 a month for two members with $100 of AI usage at provider rates, and members can connect their own Claude or ChatGPT subscriptions.

type.com is hosted only, and it runs Claude and Codex rather than every model on the market. Code automations, for steps that should run the same way every time, are in early access.

Claude Managed Agents, in public beta, runs Claude in a fresh container for each session, keeps secrets in vaults, and adds cron schedules in beta, for $0.08 per session-hour plus tokens. Amazon Bedrock AgentCore runs any framework in a microVM per session for up to eight hours, adds Gateway, Identity, and Policy services, and bills compute per second, at default rates of $0.0895 per vCPU-hour and $0.00945 per GB-hour. The OpenAI Agents API, in public beta since September 2026, gives developers a managed Codex harness with OpenAI-hosted or self-hosted sandboxes.

The big clouds have their own: Microsoft Foundry Agent Service hosts agents with a dedicated Microsoft Entra identity and publishes them to Teams and Microsoft 365 Copilot, and Google Agent Runtime, formerly Vertex AI Agent Engine, runs agents built with ADK or LangGraph at $0.085 per vCPU-hour, without billing idle time between turns.

For a side-by-side of all of them, see our guide to Claude Managed Agents alternatives, and the comparisons of type.com vs Claude Managed Agents and type.com vs AgentCore.

Microsoft Copilot Studio is Microsoft's platform for building agents, workflows, and apps with no code. It sells Copilot Credits at $200 a month per 25,000, or $0.01 per credit pay-as-you-go, and Microsoft 365 Copilot licenses include it for agents that extend Copilot. Agents publish to Teams, Microsoft 365 Copilot, and websites, event triggers include a recurring schedule, admins can enable Anthropic models, and data policies live in the Power Platform admin center. One limit to know: event triggers can only use the agent author's credentials.

Salesforce Agentforce is built for autonomous, customer-facing work on Salesforce data. You can start free with Salesforce Foundations on Enterprise Edition and higher, then pay with Flex Credits at $500 per 100,000, $2 per conversation, or per-user add-ons from $125 a month. It is the natural choice when your customer data and service teams already live in Salesforce, and a heavy one when they don't.

Lindy describes itself as an AI employee for your team and an executive assistant for everyone in it. Routines run daily, weekly, monthly, or on events, and actions with outside impact, such as sending an email or updating a ticket, wait for approval. Its docs add that those guardrails apply in shared Slack threads, not in direct messages or the web app.

Pricing changed this year. The public page now shows one Team plan that bills every active user, from $29.99 a month for 3,000 credits each, with $50 of free credits for seven days and Enterprise through sales. Lindy runs in its own cloud, and Microsoft Teams support is listed as coming soon.

Viktor lives in Slack and Microsoft Teams and has its own computer in the cloud where it writes and runs code. It runs schedules as often as every five minutes and starts on events such as a won deal or a webhook. Its docs now describe Admin and Member roles and connections that can be private to the person who connected them, though its published FAQ still says role-based access controls and per-user scoping are being built.

Usage is billed in credits. The pricing page lists a Team plan at $100 a month for 40,000 shared credits, while the docs price plans at $25 per 10,000 credits and note that the smallest plan for some workspaces is $100 a month. Models run on OpenAI, Anthropic, and Google, billed through Viktor rather than through AI subscriptions you already have.

Glean combines enterprise search with an assistant and agents across 275+ app connectors, and results respect the permissions people already have. Its Model Hub offers 40+ models, customers can bring their own model keys, and agents can run on a schedule. It runs as Glean-hosted SaaS or in your own Google Cloud or AWS account, still operated by Glean.

Glean publishes no dollar prices, but its docs now describe two models: per-user licenses plus model usage at provider rates with an upfront commitment, or per-user licenses plus a pooled allowance of credits. Both are sold through sales, which makes Glean a heavier lift for a small team that wants to start this week.

Cowork works across your files and tools on paid Claude plans. Since October 6, 2026, new tasks on Pro and Max run in Anthropic's cloud by default, and scheduled tasks run hourly, daily, weekly, or on weekdays even when your computer is asleep. Anthropic is also merging Cowork and chat into one Claude.

It is priced through Claude plans: Pro is $20 a month, or $17 billed annually, and Team Standard seats are $25 a month, or $20 billed annually. The limit for teams is by design: Anthropic says sessions can't be shared with others, only the artifacts you create in them.

Duet calls itself the managed agent platform. Each workspace gets a dedicated single-tenant VM, agents start from schedules, events, and webhooks, and plans cost $20, $50, or $200 a month with unlimited seats. Grep sells a managed agent workforce: you describe the work in plain English or code, it picks models for each step, and it runs on schedules, monitors, and batches. Its Pro plan is $200 a month for 1,500 credits, and Ultra is $500 for 4,500.

Zapier Agents connect to 9,000+ apps and run on demand or on a schedule. Zapier is moving Agents into AI by Zapier, inside the Zap editor and billed in Zapier tasks. The Agents pricing page shows a free tier with 400 activities a month and Pro at $33.33 a month billed annually for 1,500.

n8n is a fair-code platform: its Sustainable Use License allows internal business use but is source-available rather than open source. n8n Cloud starts at $20 a month billed annually, the self-hosted Community edition is free, and its AI Agent node lets a model choose tools inside a workflow that a Schedule Trigger can start. For when an agent beats a workflow, see our guides to a Zapier alternative for AI automations and an n8n alternative.

OpenClaw is an MIT-licensed, self-hosted gateway that connects 29 chat apps to an agent running on your own machine, with any model, including local ones. Teams can share one gateway with named roles, but OpenClaw's docs treat one gateway as one trust boundary and leave sandboxing off by default. We compare it with hosted options in OpenClaw vs managed agent platforms.

Buzz, from Block, is an Apache 2.0 workspace where people and AI agents share the same rooms. You self-host its relay or use hosted relays, which are in developer preview, and agents such as Claude Code, Codex, and goose can run on a laptop, a cloud VM, or an edge box. Workflows can start on a schedule or a webhook. It suits developers more than non-technical teams.

The six frameworks below are the ones answer engines and buyers name most. Each is free to use; the cost is the engineering time to host, secure, and maintain what you build. For how to make that call, see build vs buy AI agents.

Run one real workflow on your top two choices before you commit. The test that matters is not the demo but the third week: whether the runs still happen on time, whether teammates can see and fix them, and what the bill looks like.