Top 5 Multiplayer AI Agents for Work: A Detailed Comparison

• Multiple AI agents working together with the team: A good AI agent platform lets a team run multiple AI agents, each for a different task, and lets those AI agents work together with each other and with the team in the same chat.
• Team context: A good multiplayer AI agent keeps the team’s context because it works in the same shared chats as the team. The AI agent sees decisions as the team makes them and keeps up with new information over time. When a decision changes, the team updates it in the same chat, and the AI agent picks up the change right there.
• Easy building for non-technical teams: A good AI agent can be built by the people who need it, without a developer or an admin from another system.
• Security built for work: A good AI agent platform keeps company data secure and meets work standards like SOC 2, HIPAA, ISO 27001 and GDPR.
• Admin control: A good AI agent lets admins decide who can build AI agents, what each AI agent can access, and which actions need approval.
• Mobile use: A good AI agent is easy to use on a phone, because frontline and deskless teams work on mobile.

1. Zenzap

Zenzap is a multiplayer AI agent platform built for work, where teams use multiple AI agents in an easy-to-use chat. Zenzap AI agents work in one-on-one and group chats and only see the chats they’re added to, and owners control what each AI agent can do in each tool.

Can you build multiple AI agents with Zenzap, and can they work together with your team?

Yes, each person can build their own Zenzap AI agents without coding, or one person can build Zenzap AI agents and share them with the team. Zenzap AI agents can tag each other in group chats and work together on a task, while teammates work with them in the same chat and approve actions when needed.

Does Zenzap’s AI agent keep the team’s context?

Yes, Zenzap AI agents work in the chat alongside the team, so each Zenzap AI agent learns from the conversation as it happens, and nobody has to give it context separately in another app.

Can non-technical teams build AI agents with Zenzap?

Yes, non-technical teams can build AI agents with no code right in the chat and connect Zenzap AI agents to your work tools.

Can you keep company data secure with Zenzap?

Yes, Zenzap is SOC 2, HIPAA, ISO 27001, and GDPR compliant, offers US and EU data residency, and no AI models are trained on company data. Each chat has its own memory, so what a Zenzap AI agent learns in one chat stays in that chat.

What can admins control in Zenzap?

Admins can choose who can build Zenzap AI agents and set each tool to Always allow, Needs approval, or Never allow, for each AI agent and each connected app.

Can you use Zenzap on mobile?

Yes, Zenzap is built mobile-first, and it runs on iOS and Android, as well as Windows and web.

What Are the Cons of Zenzap?

Zenzap AI agents need their owner in the chat to work in that chat.

2. Viktor

Viktor is a single AI coworker added to a Slack or Microsoft Teams workspace. Viktor works inside the workspace’s shared chats.

Can you build multiple AI agents with Viktor, and can they work together with your team?

No, Viktor gives a workspace one AI coworker that every teammate shares. The team can work with Viktor in shared chats, but there are no separate Viktor AI agents to work together.

Does Viktor’s AI agent keep the team’s context?

Yes, Viktor learns from the Slack or Microsoft Teams channels it’s invited to by watching how the team works, and it suggests automations.

Can non-technical teams build AI agents with Viktor?

Yes, Viktor can be added without code, but someone with admin access has to add Viktor to the Slack or Microsoft Teams workspace, and Viktor is configured for the whole workspace instead of for each person.

Can you keep company data secure with Viktor?

Partly, Viktor runs inside Slack or Microsoft Teams, so Viktor relies on that workspace’s security, and every teammate works with the same Viktor access.

What can admins control in Viktor?

Viktor’s access is set once for the whole workspace.

Can you use Viktor on mobile?

Yes, teams can use Viktor on mobile through Slack or Microsoft Teams, but Viktor is geared toward technical teams and inherits their mobile experience, which can be clunky.

What Are the Cons of Viktor?

• Viktor is one AI employee shared by the whole workspace.
• Viktor needs Slack or Teams, since Viktor has no chat of its own.
• Viktor’s access is shared across the whole workspace, so admins can’t set different access for each person or level.

3. Lindy

Lindy is an AI assistant that teams can build to add to an external communication app.

Can you build multiple AI agents with Lindy, and can they work together with your team?

No, a team gets one Lindy, which can be shared with the team in Slack, plus one private Lindy for each person. The team can work with the shared Lindy in Slack, but Lindy AI agents can’t work together.

Does Lindy’s AI agent keep the team’s context?

Yes, Lindy builds one shared team memory from Slack, Gmail, meetings, and tasks every 12 hours, and an admin sets how far back Lindy reads a Slack conversation. Members can view the team memory, but only owners and admins can edit it.

Can non-technical teams build AI agents with Lindy?

Not easily, teams build and configure Lindy on the Lindy app, settings, and integrations pages.

Can you keep company data secure with Lindy?

Partly, Lindy’s approval rules don’t cover private chats, and when an admin shares a tool, everyone’s Lindy acts with that admin’s account and permissions.

What can admins control in Lindy?

Lindy approval rules apply in shared Slack threads, where Lindy actions can be set to Always allow or Ask. An admin’s Always allow applies to the whole workspace. However, in private chats like the Lindy app, Slack DMs, iMessage, and SMS, admin approval rules don’t apply.

Can you use Lindy on mobile?

Yes, teams can reach Lindy by iMessage and SMS, as well as in the Lindy app.

What Are the Cons of Lindy?

• Lindy is one assistant for every job, and Lindy AI agents can’t work together.
• An admin has to install Lindy in Slack.
• In shared channels, Lindy has a limited set of tools.
• Lindy has a steep learning curve.
• In private chats, Lindy can act without asking for approval.

4. Slack AI Agents

Slack is a communication app geared toward technical teams. Teams can add AI agents on top of Slack, such as Slackbot as a personal AI assistant, Salesforce AI agents through Agentforce, or AI agents from developers and outside vendors.

Can you build multiple AI agents with Slack, and can they work together with your team?

Partly, if your company uses Salesforce, Slack teams can build multiple AI agents through Agentforce, and teams can also add AI agents from developers and outside vendors.

The team works with these AI agents by tagging them in channels, DMs, or threads, but each AI agent is pulled in by mention with no shared memory, and AI agents are built and changed in Salesforce or by developers, not in the chat.

Do Slack AI agents keep the team’s context?

Partly, Slack AI agents draw on Slack conversations and Salesforce data, but what they know is set at build time, so keeping them updated is an admin task, not something the team does in the chat.

Can non-technical teams build AI agents with Slack?

Not easily, because Slack is mostly geared toward technical teams. Agentforce needs a Salesforce admin, and other Slack AI agents need a developer or a separate vendor.

Can you keep company data secure with Slack?

Partly, security depends on which Slack AI agent a team uses.

What can admins control in Slack?

Salesforce admins manage Agentforce AI agents in Salesforce, and other Slack AI agents are managed in each vendor’s own app.

Can you use Slack AI agents on mobile?

Yes, Slack AI agents work in Slack on mobile, but the mobile experience can be clunky.

What Are the Cons of Slack AI Agents?

• Slack’s AI was added to a chat tool that wasn’t built for AI agents from the ground up.
• Slackbot is personal only.
• Agentforce needs a Salesforce admin, and other Slack AI agents need a developer or a separate vendor.
• Slack AI agents respond in channels when someone tags them, and Slack can be clunky on mobile.

5. Microsoft Teams AI Agents

Microsoft Teams is a communication app for businesses with Microsoft’s AI added on top. Companies can build Microsoft Teams AI agents through Copilot Studio or Agent Builder.

Can you build multiple AI agents with Microsoft Teams, and can they work together with your team?

Yes, Microsoft Teams supports multiple AI agents working together, and teams can use them in Teams chats once published, but each AI agent is built and changed centrally in Copilot Studio, separate from where the team works.

Do Microsoft Teams AI agents keep the team’s context?

Partly, Microsoft Teams AI agents work in the chats and channels they’re added to, but each AI agent is built and changed centrally in Copilot Studio, so keeping it updated happens there, not in the team’s chat.

Can non-technical teams build AI agents with Microsoft Teams?

Not easily, because Microsoft Teams AI agents are built in Copilot Studio or Agent Builder, which takes extra steps.

Can you keep company data secure with Microsoft Teams?

Partly, Microsoft Teams AI agents are managed outside the chat, so security controls sit outside the chat where the team works.

What can admins control in Microsoft Teams?

Admins configure Microsoft Teams AI agents in Copilot Studio or Agent Builder.

Can you use Microsoft Teams AI agents on mobile?

Yes, Microsoft Teams AI agents work in Teams on mobile, but Microsoft Teams can be clunky on mobile.

What Are the Cons of Microsoft Teams AI Agents?

• Microsoft Teams has AI added on top of an existing platform.
• A Microsoft Teams AI agent is built in one place and used in another, with extra steps and apps along the way.
• Microsoft Teams AI agents respond when someone tags them.
• Microsoft Teams can be clunky on mobile.
• Microsoft Teams can feel overly formal for everyday team conversations.

• Choose Zenzap if you need a multiplayer AI agent platform where your team can work with AI agents in an easy-to-use chat, where multiple AI agents work together with each other and with your team, with easy use on mobile.
• Choose Viktor if you need one shared AI coworker inside an existing Slack or Teams workspace. However, Viktor can’t give each job its own AI agent.
• Choose Lindy if you need one AI assistant your team can reach in Slack, by text, and in the Lindy app. However, Lindy can act without approval in private chats.
• Choose Slack AI agents if you need Salesforce AI agents through Agentforce and your team already works in Slack. However, non-technical teams may find Slack AI agents hard to build.
• Choose Microsoft Teams AI agents if you need AI agents built with Microsoft tools for an existing Teams workspace. However, Microsoft Teams AI agents are built in separate apps, and Teams can be clunky on mobile.

Choose the Right Multiplayer AI Agent for Your Team

Choose a multiplayer AI agent platform by looking at who will use the AI agents, what job each AI agent needs to do, who will build them, and whether the tool matches how your team works.

AI agents that are built in a separate app, or that need the team to give them context separately, can’t learn from the team’s chats as the work happens. A platform where people and AI agents work side by side in the same chat, like Zenzap, lets AI agents pick up the team’s context on their own.

On Zenzap, multiple AI agents can also tag each other and work together on a task while the team works with them in the same chat, including for teams that work mostly on their phones.