Best AI Agents for Slack in 2026 (Compared)

Most teams already have a dozen AI tools on the company card. The question in October 2026 is which one should sit in Slack, answer the questions that keep landing in #ops-help or #cs-escalations, and do the follow-up work in your other tools. We looked at the agents ops, CS, RevOps, and team leads actually shortlist, checked each vendor's current pricing and Slack support, and wrote down where each one fits.

Short answer: If you're on Slack Business+ or Enterprise+ and want a personal assistant, start with Slackbot, which is built in. If you want a shared agent in a channel and already pay for Claude or ChatGPT Business/Enterprise, try Claude Tag or ChatGPT workspace agents. If you want no-code agents that answer from your docs and take actions across HubSpot, Zendesk, Linear and similar tools, priced by usage instead of per seat, look at Runbear or Viktor. Dust and Glean fit larger companies that want a broad internal AI or search platform.

All facts below are as of October 2026 and linked to the source we checked. Prices change often, so confirm with the vendor before you budget.

Comparison table

1. Slackbot (Slack AI and Agentforce)

Best for: Teams on Slack Business+ or Enterprise+ that want a personal AI assistant without adding a vendor.

Slack's pricing page lists Slackbot, "your personal AI agent," plus AI search, daily recaps, file summaries, and AI steps in Workflow Builder as part of Business+ ($15 per user per month billed annually). Enterprise+ adds enterprise search across connected apps. There is nothing to install and no extra security review, which is a real advantage.

Limits: On Business+, Slack's help center caps each member at 15 Slackbot messages per week. Free and Pro get only a trial. Going past the cap requires a connected Salesforce org and Flex Credits. Slackbot is personal, so it doesn't act as a shared teammate in a channel. Salesforce's Agentforce agents can also run in Slack, but that is a separate Salesforce product.

2. Claude Tag (Claude in Slack)

Best for: Companies already on Claude Team or Enterprise that want one shared Claude per channel.

Anthropic launched Claude Tag in beta for Claude Team and Enterprise customers, replacing the earlier Claude in Slack app. Anyone in a permitted channel can tag @Claude and hand it a task. Each channel has one shared Claude that remembers channel context, can (with ambient mode on) follow up on threads that have gone quiet, and can schedule work for itself over hours or days. Admins choose which tools and data Claude can reach per channel and set organization and channel spend caps.

Limits: It runs on Claude models only and works only in Slack for now; Anthropic's announcement doesn't mention Microsoft Teams. You need a Claude Team or Enterprise plan first, and setup includes setting a monthly spend limit for the organization. Our Runbear vs Claude page goes deeper on the tradeoffs.

3. ChatGPT workspace agents

Best for: Organizations standardized on ChatGPT Business or Enterprise.

OpenAI introduced workspace agents as a research preview for ChatGPT Business, Enterprise, Edu, and Teachers plans. Teams build an agent once, share it, and use it in ChatGPT or Slack, where agents "pick up requests as they come in." Agents can run on a schedule, and sensitive actions like sending email can require approval. Per OpenAI's announcement, workspace agents were free until May 6, 2026, with credit-based pricing after that.

Limits: It launched as a research preview. It requires a ChatGPT Business, Enterprise, Edu, or Teachers plan, and agent work is billed in credits on top. Models are OpenAI only. See Runbear vs ChatGPT for a direct comparison.

4. Dust

Best for: Mid-size companies that want many narrow internal agents with a shared platform.

Dust lets you build agents and call them in Slack with @dust +agent_name, or set a default agent for a channel (Dust docs). It connects to Slack, Notion, GitHub, Drive and more, plus any tool via MCP. Its pricing page lists Pro at €24 per seat per month billed yearly (prices are shown in local currency) with 8,000 credits, and Max at €120 per seat with 40,000 credits. Enterprise is quoted.

Limits: Billing is per seat, so cost grows with headcount, and credits reset each period. Dust uses three separate Slack apps (one for chat, one for syncing channels, one for Slack tools), so setup and permissions span several installs. We compare the two in Runbear vs Dust.

5. Glean

Best for: Large companies whose main problem is finding information across hundreds of systems.

Glean is enterprise search with an assistant on top. Glean in Slack can answer when tagged or proactively in channels, and by default answers privately using only content the asker can see. Its index and permission model are the strongest in this list.

Limits: Glean doesn't publish prices; you request a demo. It replies only to users who have Glean access, and rollout is typically IT-led. If you want an agent that takes actions in your CRM or helpdesk on a small team budget, it's more than you need.

6. Lindy

Best for: Individuals and small teams automating email, scheduling, and follow-ups.

Lindy's pricing page lists a Team plan from $49.99 per active user per month for 5,000 credits, with larger credit tiers such as 15,000 credits for $99.99 and 35,000 for $199.99, top-ups at $10 per 1,000 credits, and a free start with $50 in credits that lasts 7 days (as of October 2026). Every plan includes a Slack teammate that works in threads and mentions, and seat credits go into a shared workspace pool.

Limits: Anyone who uses Lindy needs a seat, including people who only @mention it in Slack. That makes it expensive for a big support or ops channel where many people ask occasional questions.

7. Zapier Agents

Best for: Teams that already run their operations on Zaps.

Zapier Agents are billed in activities, not seats: 400 per month free, 1,500 on Pro (from about $33.33 per month billed annually), and Zapier Team accounts share one pool of Agents activities. Zapier's app library is large, so the agent can act almost anywhere.

Limits: Slack is a trigger and action, not a native teammate. You wire a "new message in channel" trigger to an agent step and a "send message" step, then keep the trigger from firing on bot messages so the agent doesn't answer its own posts (Zapier template). It works, but someone has to own the plumbing.

8. Viktor

Best for: Ops teams that want an agent to complete scheduled, multi-step jobs end to end.

Viktor positions itself as an "AI employee" in Slack and Microsoft Teams. Its pricing page is workspace-based: $100 in free credits to start, then Team plans from $50 for 20,000 credits, with all features on every plan and model costs passed through without markup. Unused monthly credits roll over for one month.

Limits: Credit burn varies a lot by task (the vendor estimates 100 to 5,000 credits per task), so forecasting takes a few weeks of real usage. It's oriented toward task execution more than answering a channel's recurring questions from your docs.

9. Runbear

Best for: Teams that want one shared agent in Slack, connected to their docs and tools, priced by usage instead of per seat.

Disclosure: Runbear is our product. Runbear gives a team a shared AI agent in Slack or Microsoft Teams. You install it from the Slack Marketplace and build a no-code AI agent for Slack in about 10 minutes. The agent answers from Notion, Google Drive, Confluence, SharePoint, websites, and past Slack conversations, and takes actions in 2,000+ tools such as HubSpot, Linear, Zendesk, and Salesforce. You choose the model per agent: Claude, GPT, or Gemini.

The agent always answers @mentions and DMs; per channel you can also let it keep replying in a thread once engaged, reply without an @mention, or trigger on keywords. Scheduled jobs handle recurring work like a Monday pipeline summary. Pricing is usage-based: Team is $99 per month with 20,000 credits and 5 builders; Business is $399 per month with 100,000 credits, 10 builders, an audit log of configuration changes, SAML SSO, and bring-your-own-key. Most tool connections can use per-user or shared auth, so a shared agent can act with each asker's own permissions. Enterprise is custom and adds SCIM and support for HIPAA compliance (BAA on request for eligible Enterprise customers with a supported configuration). Runbear is SOC 2 Type II.

Limits: Runbear is not a full enterprise search index like Glean; it answers from the sources you connect to each agent. Unlike Slackbot, it's another vendor to approve. Usage pricing also means you watch a credit balance instead of a seat count.

How to choose

Decide between a personal and a shared agent first. Slackbot and the ChatGPT or Claude DMs help one person at a time. Ops and CS work happens in channels, where the same questions come from many people. A shared agent (Claude Tag, ChatGPT workspace agents, Dust, Viktor, Runbear) answers once in the thread where everyone can see it.

Then look at who has to pay. Per-seat tools (Lindy, Dust, Glean, Slackbot through Slack seats) charge for everyone who uses the agent. That's fine when a few power users drive most usage. In a #help channel where 200 people ask a question a month, per-seat pricing gets expensive quickly. Usage-based tools (Zapier Agents, Viktor, Runbear) charge for the work done, so occasional askers cost little.

Check where the knowledge lives and what the agent must do. If the answer is "everywhere, and we have 5,000 employees," Glean is built for that. If the answer is "Notion and Drive, and then update HubSpot or open a Zendesk ticket," a no-code agent builder with actions fits better.

Match the security bar. Ask about SSO, audit logs, per-user permissions on shared agents, and HIPAA before the pilot rather than after.

FAQ

What are the best AI agents for Slack?

As of October 2026, the main options are Slackbot (built into Slack Business+ and Enterprise+), Claude Tag, ChatGPT workspace agents, Dust, Glean, Lindy, Zapier Agents, Viktor, and Runbear. Slackbot suits personal use, Glean suits enterprise search, and Claude Tag, ChatGPT workspace agents, Dust, Viktor, and Runbear suit shared agents in team channels.

What are the best AI agent builders for Slack automation?

For no-code agent building with actions in other tools, the strongest options are Runbear, Dust, Lindy, Viktor, and Zapier Agents. Runbear and Viktor run natively in Slack and bill by usage. Dust and Lindy bill per seat with included credits. Zapier Agents connect to Slack through Zap triggers and actions.

What are the best AI agents for Slack for operations teams?

Ops teams usually need an agent that answers process questions in a shared channel and then acts in tools like HubSpot, Linear, or Zendesk. Runbear and Viktor are built for that pattern with usage-based pricing. Claude Tag and ChatGPT workspace agents work well if your company already pays for Claude or ChatGPT business plans.

Which AI chatbots work with Slack without any coding?

Slackbot, Claude Tag, ChatGPT workspace agents, Dust, Glean, Lindy, Viktor, and Runbear all work in Slack without code. Runbear installs from the Slack Marketplace and takes about 10 minutes to set up. Zapier Agents are also no-code but need a Zap to connect Slack messages to the agent.

Are there AI agent platforms for Slack that charge by usage instead of per seat?

Yes. As of October 2026, Runbear (Team plan $99 per month with 20,000 credits), Viktor (workspace credits from $50), and Zapier Agents (activities pooled on Team accounts) all charge by usage rather than per seat. Dust and Lindy include credits but still bill per seat, and Slackbot is tied to per-user Slack plans.

Is Slack's built-in Slackbot enough?

For personal help on Business+ or Enterprise+, often yes, and it needs no extra vendor. Business+ members are limited to 15 Slackbot messages per week, and Slackbot is a personal assistant, so teams that want a shared agent answering in channels or acting in external tools usually add a dedicated agent.