The Best AI Agents for Slack in 2026

“In 2026, multi-player AI will eat single-player AI.” — Fareed Mosavat, Partner at Andreessen Horowitz

AI models like ChatGPT and Claude are incredibly powerful, but they were originally designed for individual users, not teams. Their core user experience assumes a single person thinking, drafting, and deciding in isolation.

Recently model providers and SaaS vendors began releasing Slack integrations to change that. The goal is to bring AI into the place where teams already communicate, so that professionals can make faster and better decisions with shared context.

In practice, AI in Slack falls into two distinct modes:

1. Single-player AI for private, individual work
2. Multi-player AI for shared, visible collaboration

Most AI agents in Slack support one of these modes well, but not both. In the article below we'll examine the modes and capabilities of a few new Slack integrations, and compare them to Adapt.

ChatGPT in Slack

ChatGPT’s Slack integration is designed for individual productivity, not team collaboration.

Once installed and approved, a user can privately message ChatGPT from Slack to ask questions, summarize conversations, draft text, or reason through ideas. ChatGPT can reference Slack channels and messages only within the user’s existing permissions, which makes it useful for personal context like recalling past discussions.

However, ChatGPT in Slack is strictly single-player. You cannot collaborate with teammates in the same AI conversation or continue a shared thread with the model. ChatGPT’s agentic capabilities and external app integrations are also unavailable in Slack. Those remain confined to the ChatGPT app itself.

ChatGPT in Slack works best as a personal thinking assistant that happens to live where you work.

Claude in Slack

Claude in Slack moves one step closer to collaboration, but remains individual-first.

A user can ask Claude a question privately, receive a response, and then choose to post that response into a channel or thread. This removes the friction of copying and pasting AI output into team discussions.

What does not change is ownership. Once the response is shared, other teammates cannot follow up with Claude inside that channel. They can discuss the answer, but the AI interaction itself remains tied to the original user. Claude’s broader agentic capabilities and connected tools are not available in Slack.

Claude in Slack improves sharing, but not true co-creation.

Linear in Slack

Linear’s Slack agent is intentionally narrow and effective at a single job.

By mentioning @Linear in a channel or group DM, teams can turn conversations into Linear issues using natural language. The agent infers titles, descriptions, and relevant context directly from discussion, which reduces friction compared to filling out forms.

Linear’s agent does not act as a conversational project assistant. You cannot ask about roadmap status, sprint health, or cross-project insights. Its intelligence stops at Linear, and natural-language inference is typically limited to higher-tier plans.

Linear in Slack is a strong example of product-embedded AI that is powerful within one domain.

Salesforce in Slack

Agentforce brings Salesforce-powered agents directly into Slack conversations.

Users can mention Agentforce in channels to retrieve CRM context, surface account summaries, or assist with defined workflows that everyone in the channel can see. These agents are configured ahead of time and draw from Salesforce data and permissions.

Agentforce agents remain tied to a single system of record. Their knowledge, access, and capabilities are defined by Salesforce, and extending them to other tools requires additional configuration.

Agentforce is powerful inside Salesforce, but not designed as a workspace-wide intelligence layer.

Adapt in Slack

Adapt is designed as a true workspace intelligence layer, not a single-user assistant or a single-app bot.

Once installed, any teammate can mention @Adapt in a DM, channel, or thread. Adapt responds directly in the conversation, with full awareness of Slack context and permissions. Conversations with Adapt are not “owned” by one user. Anyone in the thread can follow up, refine the request, or extend the work with the same shared AI context.

Unlike most Slack integrations, Adapt’s capabilities are identical in private and shared spaces. You can brainstorm privately, then bring the same agent into a public channel to continue the work collaboratively, without losing context or starting over.

Adapt also connects beyond Slack. It can pull structured data from systems like Salesforce and Linear, query documents, reference internal files, reason across multiple sources, and take multi-step actions. Teams do not have to switch apps or juggle multiple assistants to get answers.

Avoiding AI sprawl in Slack

As you can see from the chart below, each Slack integration is optimized for one user or one application:

As teams adopt more AI agents, they will inherit multiple permission barriers and sharing rules. Users must remember which agent to ask, what data it can access, and who will see the output.

Slack may fill with specialized assistants that do not coordinate. Instead of shared intelligence across the company, you'll get AI sprawl.

Adapt is a multiplayer agent without the trade-offs

As you can see, most Slack AI integrations force a trade-off. You can get private productivity or shared collaboration. Adapt removes those compromises.

The result is a collaborative intelligence layer for your entire workspace.

To see how Adapt delivers both depth and collaboration for teams, sign up for early access.