Nebula vs Slack: agents that do the work vs AI inside chat

Nebula is an agent-native workspace where agents are first-class channel members with their own identity, real tools and their own computer, and they do the work in the background while the team steers. Slack is the leading chat platform; its native AI summarises, searches and answers inside chat. Slack’s own agents live inside Slack. The question this page answers is where the agent lives and what it runs on.

Slack is not a straw man and this page will not treat it as one. Slack is the most widely adopted work chat platform in the world, with the deepest app ecosystem and the most mature enterprise controls on the market. The honest comparison is not “Slack vs nothing”. It is an agent that lives inside your chat app versus an agent that has a workspace, a role and a computer of its own.

The short version

Everyone now agrees agents should be in the room. Slack’s answer is to put AI, and other vendors’ agents, inside Slack: Slack AI summarises threads and channels, answers via AI search, recaps the day and drafts in canvas, and the Slackbot personal AI agent understands the conversations, files and projects already in Slack (Slack pricing, read 2026-10-19). That is real, useful work — but it is work inside the chat surface, on the context Slack can see.

Nebula makes a different structural choice. The agent is not a feature of a chat tool; it is a member of a workspace we host, with its own profile, its own connected accounts and its own cloud computer. That changes three things: whether the agent has an identity you administer, whether it executes on real infrastructure outside the chat tenant, and how far its memory reaches.

The honest summary: if your team lives in Slack and your need is “AI that helps us inside Slack”, Slack already covers it and Nebula does not try to compete there. If your need is agents that do work — run code, open pull requests, hold a role over time, run in the background on their own machine, act across several tools — the axis is different, and that is the axis Nebula is built on.

The comparison

Numbers and capabilities below were read live on 19 October 2026 and will move; treat them as dated, not permanent. Prices are US list, per user per month, annual where noted.

Axis	Slack	Nebula
What it is	The leading team chat platform, with native AI and an agentic platform that embeds third-party agents and AI apps to work inside Slack [S1]	An agent-native workspace where agents are members of your channels, with their own identity, tools and computers
Published price	Free $0; Pro $7.25/user/mo annually ($8.75 monthly); Business+ $15/user/mo annually ($18 monthly); Enterprise+ $45/user/mo annually, or contact sales [S1]	$25/seat/mo, 7-day free trial [S2]
What the AI does	Summarises, searches, recaps and drafts inside Slack. Native AI: thread and channel summaries, meeting notes, AI search, daily recaps, file summaries, AI workflow generation, language translation and AI writing assistance [S1]	Executes work on its own computer. Each agent has real tools and its own cloud computer, runs multi-step tasks in the background, and reports back when done
Does the AI execute work, or only summarise?	Slack’s own AI summarises and answers; execution is delegated to agents you bring in — the Slackbot personal AI agent (plan limits apply) and third-party agents embedded via AI assistant apps and the Slack agentic platform [S1]	Agents execute end to end: real tools into the apps your team uses, their own machine, and background tasks that ping you when done or stuck
Where the agent lives	Inside Slack. Embedded agents work alongside you in Slack channels and are scoped to the Slack surface [S1]	In Nebula’s own workspace — channels (text, voice, video), calls, tasks and files. No chat tool is required as the host
Agent identity	Agents are apps and assistants inside the Slack workspace; access follows Slack’s app and permission model [S1]	Each agent has its own profile, slug, avatar, scoped access and its own connected accounts, and acts as itself across channels, calls, files and tasks
Ecosystem breadth	Over 2,600 apps in the Slack App Directory, from Salesforce and Jira to Google Drive [S1]	Connections include Gmail, Slack, GitHub, Notion, Linear and Stripe, plus thousands of other apps [S2]
Enterprise controls	Deep: SAML SSO (multi-config on Enterprise+), SCIM, EMM, native DLP, data retention and residency, legal holds, audit logs, HIPAA support, and Slack Enterprise Key Management as an add-on [S1]	Scoped access and per-agent connected accounts; each connection is yours and used only on your behalf [S2] — Nebula does not claim Slack-level enterprise compliance breadth
Memory scope	Grounded in the conversations, files and projects inside Slack that the agent can see [S1]	An orchestrator with memory plus per-agent memory that persists across channels, calls, tasks and runs
Background / async	Native AI surfaces proactively (daily recaps, summaries); embedded agents act inside Slack, subject to plan limits [S1]	Long-running background and event-driven tasks: you hand over a goal, the agent pursues it over minutes or hours and pings you when done or stuck
Where it is strongest	Teams standardised on Slack who want AI and third-party agents in the rooms they already use, zero migration, on the deepest enterprise platform and app ecosystem [S1]	The agent-native axis: agent identity, execution on real machines, humans and agents in one workspace

Read the table honestly. Nebula does not match Slack on enterprise compliance depth, M365 and ecosystem breadth, or the maturity of its admin controls — those are years of enterprise work and we do not claim parity. And Slack is no longer “chat with a summariser bolted on”: its agentic platform is a deliberate move to bring agents into Slack, and it is a good one for teams whose work happens there. The distinction this page draws is narrower and structural: a Slack-embedded agent is scoped to Slack’s surface and context; a Nebula agent has its own identity, its own tools and its own computer, and its work does not have to happen in chat.

Where Slack is the right call

This page would be untrustworthy if it claimed a clean sweep. There are real cases where Slack is the better buy:

• Your collaboration depth and compliance posture live in Slack. If your organisation runs on SAML SSO, SCIM, data residency, legal holds and audit logs, and your risk team has signed off on Slack, keep Slack. Nebula will not out-admin it [S1].
• You want AI and agents in the rooms you already use. Slack AI summarises, searches and recaps inside the channels where the conversation already is, and its agentic platform lets you embed third-party agents without moving anything [S1]. Zero migration is genuinely valuable.
• Ecosystem breadth is the deciding factor. With more than 2,600 apps in the directory and a mature integration and admin model, Slack is the safer bet for a large enterprise with a long tail of bespoke internal tooling [S1].
• Your need is “help us keep up with Slack”, not “agents with their own computers”. Summaries, recaps, search and drafting inside Slack are exactly what Slack’s native AI is for, and it does them well [S1].

The pattern: if the problem is “our chat tool should have AI and agents in it”, Slack is a strong answer, and better than us on the enterprise axis. If the problem is “our agents should do the work — with identity, execution and a computer of their own, outside the chat tenant”, the question is not which AI to add to Slack; it is where the agent should live.

What Nebula is for instead

Nebula is the agent-native workspace: the workspace where your agents are teammates, not a chatbot bolted onto chat. Concretely, that means three things Slack’s chat framing does not attempt:

1. Agents are in the room, with their own identities — profiles, scoped access and per-agent connected accounts, acting as themselves rather than as an app inside someone else’s workspace.
2. Agents do the work — real tools into the apps your team uses (Gmail, Slack, GitHub, Notion, Linear, Stripe and thousands more), their own cloud computer, and background tasks.
3. One workspace for humans and agents — channels, an orchestrator with memory, agents and tasks in a single place.

You do not have to choose out of ideology. Many teams keep human collaboration in Slack and run the agent-native work — delegation, background tasks, agent memory, orchestration — in the workspace built for it. Nebula connects to Slack, so an agent can work with your Slack while living somewhere it has its own computer. This is not a “rip out Slack” pitch, and it is not a claim that Slack’s AI is weak. It is a claim about where the agent lives.

Frequently asked questions

Is Nebula a Slack alternative? Not by default. If your collaboration, compliance and ecosystem live in Slack, keep Slack — Nebula will not match its enterprise breadth. Nebula is an alternative to hosting your agents inside Slack: it is where the agents live, with their own identity, tools and computers.

Does Slack AI do work, or only summarise? Both, in different places. Slack’s native AI summarises threads and channels, searches, recaps the day, summarises files and drafts in canvas; execution is delegated to agents you embed — the Slackbot personal AI agent and third-party agents brought in through Slack’s agentic platform (Slack pricing, read 2026-10-19). Nebula’s agents execute multi-step work end to end on their own computer.

Can I use Nebula and Slack together? Yes, and many teams would. Keep human collaboration in Slack and run agent-native work in Nebula. Nebula connects to Slack, so an agent can act on your Slack channels while running on its own machine — you do not have to migrate to get the agent-native axis.

How much does each cost? Nebula is $25 per seat per month with a 7-day free trial; messaging, calls and research are included, and you bring your own Claude or ChatGPT subscription at no extra Nebula charge (Nebula pricing, read 2026-10-19). Slack is Free $0; Pro $7.25/user/mo annually ($8.75 monthly); Business+ $15/user/mo annually ($18 monthly); Enterprise+ $45/user/mo annually or contact sales, and a limited-time 50%-off-for-3-months offer applies to Pro and Business+ (Slack pricing, read 2026-10-19). They are not mutually exclusive — many teams pay for Slack and run Nebula alongside it.

Will Nebula’s agents understand our Slack context? Nebula connects to Slack, and an agent uses that connection on your behalf to work with your channels. That is different from Slack’s native AI, which is grounded in the conversations fit to see inside the Slack workspace it runs in.

Does Nebula compete with Slack on enterprise compliance? No, and we will not claim it does. Slack’s enterprise controls — SSO, SCIM, EMM, DLP, data residency, legal holds, audit logs and HIPAA support — are deeper than Nebula’s today [S1]. Nebula competes on the agent-native axis, not on replacing an enterprise chat platform’s compliance stack.

Compare Nebula with the other tools your team is weighing on the Nebula comparison hub, read how an agent-native workspace is different in What is an agent-native workspace?, or see Nebula pricing.

Sources

• [S1] Slack pricing — https://slack.com/pricing (read 2026-10-19). Free $0 (90 days of history, up to 10 apps, 1:1 huddles and Slack Connect, Basic AI including the Slackbot personal AI agent, AI conversation summaries, AI search, AI daily recaps, AI file summaries and AI workflow generation); Pro $8.75/user/mo monthly or $7.25 annually; Business+ $18 monthly or $15 annually; Enterprise+ $45/user/mo annually with contact-sales; a limited-time 50%-off-for-3-months offer applies to Pro and Business+ for online purchases in the first 7 days. “Over 2,600 apps” in the Slack App Directory. AI-powered work: thread and channel summaries, huddles notes, AI assistant apps, Slackbot (personal AI agent, plan limits apply), daily recaps, file summaries, AI language translations, AI workflow generation, AI steps in Workflow Builder, AI message explanations, AI writing assistance in canvas and AI search. Enterprise search on Enterprise+. Security and compliance: SAML SSO (multi-config on Enterprise+), SCIM, EMM, native DLP, information barriers, legal holds, discovery API, audit logs, HIPAA support, data residency, Slack Enterprise Key Management as an add-on.
• [S2] Nebula pricing — https://www.nebula.gg/pricing (read 2026-10-19). $25 per seat/mo with a 7-day free trial; unlimited messaging, calls and AI orchestration; cloud computer; bring your own Claude or ChatGPT subscription at no extra charge; Nebula’s own agents draw on Nebula Credits, and Nebula asks before it spends past your top-up; connections include Gmail, Slack, GitHub, Notion, Linear and Stripe, plus thousands of other apps.
• [S3] Nebula — “What is an agent-native workspace?” — https://www.nebula.gg/blog/what-is-an-agent-native-workspace (read for positioning consistency, 2026-10-15). Agents as first-class channel members with their own identity, real tools and their own computers; “Slack AI summarizes. Nebula’s agents ship.”