Find an alternative to Otto by Workato that asks before it acts
The best alternative to Otto by Workato is Dash for most teams, because it does the same job in the same place with a tighter grip on risk: an AI teammate that lives in Slack and Microsoft Teams, connects to 3,000+ tools, learns how your team works, and asks before it sends, posts, writes, or spends. Viktor is the runner-up, and the one to take when raw breadth of connected tools is the thing you are buying.
The shortlist
- Dash, an approval-first AI teammate in Slack and Microsoft Teams, connected to 3,000+ tools.
- Viktor, the runner-up, in the same two chat surfaces, with the widest connector catalogue on this page.
- Lindy, for teams that want the same in-chat coworker with costs they can plan around.
- Claude Tag, for teams that just want a capable assistant they can mention inside an existing Slack thread.
Six more are compared below: Claude Cowork, Grok Bot, Hermes Agent, OpenClaw, Dust, and Glean Agents.
These are collaborative agents, not workflow automation tools wearing an AI label. The distinction matters: a collaborative agent sits in the channel with your team, holds context across a conversation, asks before it acts, and reports back like a colleague would. Otto is worth looking past when the platform commitment behind it is larger than the problem you are solving, when you want an approval gate on every action as a product default rather than a configuration exercise, or when you want to self-host rather than hand an agent credentials on someone else’s cloud. This post gives an honest write-up of each alternative, what it actually is, who it is best for, features, pros, and cons, followed by the must-have features to check before you sign anything.
These are collaborative agents, not workflow automation tools wearing an AI label. The distinction matters: a collaborative agent sits in the channel with your team, holds context across a conversation, asks before it acts, and reports back like a colleague would. Otto is worth looking past when the platform commitment behind it is larger than the problem you are solving, when you want an approval gate on every action as a product default rather than a configuration exercise, or when you want to self-host rather than hand an agent credentials on someone else’s cloud. This post gives an honest write-up of each alternative, what it actually is, who it is best for, features, pros, and cons, followed by the must-have features to check before you sign anything.
Otto by Workato alternatives at a glance
The short version: Dash is the approval-first pick and our own, Viktor is the runner-up on connector breadth, Lindy is the best-value in-chat coworker, Claude Tag and Claude Cowork cover the two Anthropic shapes, Grok Bot is the newest entrant, and Hermes Agent and OpenClaw are the self-hosted answers. The table compares all nine on the dimensions that actually decide a collaborative agent purchase, none of which is the sticker price.
| Tool | Best for | Where it runs | Standout strength | Availability |
|---|---|---|---|---|
| Dash | Teams that want an approval gate on every action | Slack, Microsoft Teams, web | Asks before it sends, posts, writes, or spends | Generally available, self-serve |
| Viktor | Teams buying on connector breadth | Slack, Microsoft Teams | Breadth of connected tools | Generally available, self-serve trial |
| Lindy | Teams that want predictable cost | Slack, iMessage, Gmail, browser | Fast to a working coworker | Generally available, self-serve |
| Claude Tag | Teams already on Claude | Slack, Teams coming | Mention it in an existing thread | Beta for Team and Enterprise |
| Claude Cowork | Document-heavy desktop work | Claude desktop, web, mobile | Runs long tasks on your files | Included on paid Claude plans |
| Grok Bot | Teams wanting always-on agents | Desktop for macOS and Windows, iOS | A fleet of agents, not one | Early beta, subscription-gated |
| Hermes Agent | Teams that want to self-host | Slack, Telegram, Discord, WhatsApp, Signal, desktop | Open source with persistent memory | Generally available, open source |
| OpenClaw | Individuals who want local control | Slack plus many chat apps | Runs entirely on your machine | Generally available, open source |
| Dust | Companies rolling agents out widely | Web app, Chrome extension | A directory of shared team agents | Generally available, self-serve |
| Glean Agents | Large orgs where context is the gap | Web, Slack, Teams, browser | Permission-aware company knowledge | Enterprise sales-led, no public signup |
How we picked these Otto by Workato alternatives. Every tool below is a real, currently shipping collaborative agent whose site we loaded and verified, and every one is either buyable or installable today rather than sitting behind a waitlist. We screened on category first, which is the step most lists in this space skip: the tool has to sit in a chat surface alongside people, hold context, and act. Integration platforms and workflow builders with an AI feature bolted on were excluded no matter how often they are recommended as Otto alternatives, because they are a different product doing a different job. We then scored on where it runs, whether it completes work rather than drafting it, depth and governance of its connections, approvals and auditability, and honest limits.
Why we can speak to this. Our parent company runs an AI multi-agent setup in production every day, and this post is one of its outputs: drafted, checked, and published by agents against a documented workflow layer. Day to day our operations run on Slack and a stack of Slack apps, Google Workspace (Gmail, Sheets, Drive), and HubSpot for our own marketing and CRM. That means we have lived the specific thing Otto is selling, an agent working inside a chat surface against real business systems, including the parts nobody puts on a product page: approvals that get ignored, connectors that go stale, and the moment you realise nobody can reconstruct what the agent did last Tuesday. Where a tool below touches something we genuinely run, we say so in that tool’s section. Where it does not, we say that too rather than inventing experience.
Published: August 2026. Last updated: August 2026. This category is moving faster than any other in software, so we deliberately do not print vendor prices on this page and every tool links to its own live pricing page for current figures. Editorially maintained by the Bizmanualz team.
Why we can speak to this. Our parent company runs an AI multi-agent setup in production every day, and this post is one of its outputs: drafted, checked, and published by agents against a documented workflow layer. Day to day our operations run on Slack and a stack of Slack apps, Google Workspace (Gmail, Sheets, Drive), and HubSpot for our own marketing and CRM. That means we have lived the specific thing Otto is selling, an agent working inside a chat surface against real business systems, including the parts nobody puts on a product page: approvals that get ignored, connectors that go stale, and the moment you realise nobody can reconstruct what the agent did last Tuesday. Where a tool below touches something we genuinely run, we say so in that tool’s section. Where it does not, we say that too rather than inventing experience.
Published: August 2026. Last updated: August 2026. This category is moving faster than any other in software, so we deliberately do not print vendor prices on this page and every tool links to its own live pricing page for current figures. Editorially maintained by the Bizmanualz team.
What is a collaborative agent?
A collaborative agent, sometimes called an AI teammate or AI coworker, is software that sits in the same chat surface as your team, holds context across a conversation, takes a goal in plain language, acts across your connected systems, and reports back. It is a different product category from workflow automation. A workflow tool needs you to define every branch in advance and runs the same path every time. A collaborative agent is briefed the way a colleague is briefed, and it decides the steps. Otto by Workato is a clear current example: an AI multiplayer superagent that embeds in Slack and Microsoft Teams, remembers context across conversations, acts, and keeps running in the background, built on Workato Enterprise MCP.
An alternative to Otto by Workato, then, is another collaborative agent, not an integration platform with an AI feature bolted on. That distinction is the single most common mistake in this category, and it is why several widely recommended “Otto alternatives” lists are really iPaaS lists. Every tool below sits in a chat surface alongside people. If you are still mapping which systems the agent would even touch, start with how automation can help your business and buy the agent into that picture rather than around it.
An alternative to Otto by Workato, then, is another collaborative agent, not an integration platform with an AI feature bolted on. That distinction is the single most common mistake in this category, and it is why several widely recommended “Otto alternatives” lists are really iPaaS lists. Every tool below sits in a chat surface alongside people. If you are still mapping which systems the agent would even touch, start with how automation can help your business and buy the agent into that picture rather than around it.
Collaborative agent benefits
- Work is requested in the channel where the team already talks, so adoption costs nothing.
- The agent holds context across a thread instead of starting cold every time.
- Requests are answered with finished work, not a draft you still have to complete.
- Approvals keep a human in the loop before anything consequential is committed.
- Everyone can see what was asked and what came back, so the work is reviewable.
- Your existing systems get more use, because the agent reaches into them on the team’s behalf.
Otto by Workato vs the top alternatives
A direct comparison against the incumbent on the dimensions that decide the switch. Otto is included here as the product being replaced, not as a ranked entry below. Every cell was checked against each vendor’s own live pages.
| Dimension | Otto by Workato | Dash | Viktor | Claude Tag |
|---|---|---|---|---|
| Availability | Self-serve free trial on getotto.ai; early access form for enterprise | Generally available, self-serve | Generally available, self-serve | Beta, Claude Team and Enterprise |
| Primary surface | Slack, Otto web and mobile app, SMS | Slack, Microsoft Teams, web | Slack and Microsoft Teams | Slack; Microsoft Teams waitlisted |
| Runs on | Workato Enterprise MCP | Vendor cloud, workspace isolated | Vendor cloud | Anthropic cloud |
| Asks before acting | Yes, approvals stated | Yes, before sending, posting, writing, spending | Yes, on actions it cannot undo | Yes, you mention it |
| Connector claim | 1,400+ apps | 3,000+ tools | 3,200+ tools | Tools you configure by API |
| Best when | You already run Workato | You want an approval gate on every action | You want the widest connector catalogue | You already pay for Claude |
| Weakest when | You do not want a platform relationship | Your data cannot sit on a vendor cloud | You want predictable per-seat cost | You need deep tool actions |
Best Otto by Workato alternative: Dash
Dash is an AI teammate that lives in Slack and Microsoft Teams, connects to 3,000+ tools, learns how your team works, and returns finished work rather than suggestions. Its defining choice is the approval gate: Dash asks before it sends, posts, writes, or spends. Dash is a Process Street product, and Process Street is a sister brand of this publication, so read this placement with that in mind and check the cons.
Best for: Teams that want an Otto-shaped teammate in chat with a human approval in front of every action that changes something.
Best for: Teams that want an Otto-shaped teammate in chat with a human approval in front of every action that changes something.
Features
- Lives in Slack and Microsoft Teams, with a web app alongside
- Connects to 3,000+ tools through one-click OAuth
- Asks before it sends, posts, writes, or spends
- Reads your channels and connected tools to build working context
- Returns finished work: reports, dashboards, follow-ups, drafts
- Workspace-isolated data that is not used to train models
Pros
- Approval before action is the product default, not a setting you find later
- Self-serve with a free starting credit allowance and no card required
- SOC 2 Type II attested and ISO/IEC 27001 certified
Cons
- Usage-based credit pricing, so a heavy job costs more than a light one
- Vendor cloud with workspace isolation, so there is no self-hosted option
- It is our own sister product, so weigh this ranking accordingly
Dash answers the same brief as Otto and answers it in the same place. You @mention it in a channel or send it a direct message, it reads the request, works across the tools you have connected, and posts the finished thing back in thread. Its own site frames the install as one click of OAuth into Slack or Microsoft Teams, with no API keys and no IT ticket, and describes a setup step where Dash reads your channels and connected tools and writes itself the context it needs to act sensibly rather than being told everything each time.
Where it beats Otto is the control model. Otto describes approvals and auditability as part of an enterprise platform posture, which is real but arrives with a Workato relationship attached. Dash puts the gate in the product itself: it asks before anything that mutates a system, and shows non-mutating results in thread with sources you can click. That is the difference between an approval you configure and an approval you cannot skip. Where Dash loses is connector count. Otto claims 1,400+ apps on Workato Enterprise MCP with genuine integration-platform lineage behind them, and Viktor claims more connectors than anyone here. Dash claims 3,000+ tools, but a catalogue number is a marketing figure on every site on this page and the honest test is depth in the five tools you actually use.
The honest operating reality is credits. Dash bills on usage rather than per seat, which is fair when volume is lumpy and uncomfortable when a single ambitious request turns out to be expensive. Model your busiest intended job before you widen the brief, the same advice we give for Viktor. We run our own operations on Slack, Google Workspace, and HubSpot and we have lived the specific failure this category has, which is not the model being wrong but nobody being able to reconstruct what an agent did last Tuesday. An approval gate plus a readable trail is the part worth paying for.
Where it beats Otto is the control model. Otto describes approvals and auditability as part of an enterprise platform posture, which is real but arrives with a Workato relationship attached. Dash puts the gate in the product itself: it asks before anything that mutates a system, and shows non-mutating results in thread with sources you can click. That is the difference between an approval you configure and an approval you cannot skip. Where Dash loses is connector count. Otto claims 1,400+ apps on Workato Enterprise MCP with genuine integration-platform lineage behind them, and Viktor claims more connectors than anyone here. Dash claims 3,000+ tools, but a catalogue number is a marketing figure on every site on this page and the honest test is depth in the five tools you actually use.
The honest operating reality is credits. Dash bills on usage rather than per seat, which is fair when volume is lumpy and uncomfortable when a single ambitious request turns out to be expensive. Model your busiest intended job before you widen the brief, the same advice we give for Viktor. We run our own operations on Slack, Google Workspace, and HubSpot and we have lived the specific failure this category has, which is not the model being wrong but nobody being able to reconstruct what an agent did last Tuesday. An approval gate plus a readable trail is the part worth paying for.
Choose it if: you want a chat-native teammate with connected tools and an explicit approval before it changes a business system.
Skip it if: your data cannot sit on a vendor cloud, or you want to design a fleet of specialised agents rather than work with one teammate.
Skip it if: your data cannot sit on a vendor cloud, or you want to design a fleet of specialised agents rather than work with one teammate.
Bottom line: The strongest Otto by Workato alternative for teams that want one shared teammate in Slack or Microsoft Teams and a human approval at the moment of risk.
Check out the pricing plan for Dash.
Viktor
Viktor is the runner-up here, and the strongest pick if connector breadth is what decides it. Its own site describes an AI employee that lives in Slack and Microsoft Teams, works across 3,200+ tools, and has its own computer in the cloud where it writes and runs code to complete a task.
Best for: Teams buying on breadth of connected tools, in the same two chat surfaces.
Best for: Teams buying on breadth of connected tools, in the same two chat surfaces.
Features
- Lives natively in Slack and Microsoft Teams
- Advertises connections to 3,200+ tools
- Runs code in the cloud and ships real outputs
- Handles multi-step projects, not single replies
- Free plan credits that never expire
- Acts on its own once briefed
Pros
- The widest connector catalogue on this page, 3,200+ tools
- Self-serve with a free credit allowance, no card and no sales call
- Completes the work rather than suggesting it
Cons
- Credit-based pricing means the same task can cost different amounts
- Cloud only, so self-hosting is not an option
- Slack dependency makes it awkward for individuals
Viktor is the runner-up on this list, and the one to shortlist when connector breadth is the deciding factor. Same surfaces as Otto, Slack and Microsoft Teams. Same premise, brief it like a colleague and it comes back with the work done. Its own site claims connections to 3,200+ tools and describes an agent with a cloud computer of its own that writes and runs code to finish a job.
Where it beats Otto is reach and how quickly you can start. Viktor is self-serve with a free credit allowance, no card and no sales call, and the breadth of connection it advertises is the largest on this page. Where it loses is enterprise lineage. Workato is an integration platform first, so Otto inherits governance, environment separation, and audit posture that a younger product answers more lightly. Against Dash, the trade is breadth against control: Viktor connects to more, Dash puts an approval gate in front of every action rather than only the ones you cannot undo.
The honest operating reality is credits. Viktor bills in credits that map to real model usage, which means the same job can cost a different amount on different runs, and reviewers consistently report credits burning faster than expected. Model your busiest intended job before you roll it out widely. We run Slack and a stack of Slack apps ourselves, and the pattern worth repeating is to start with one narrow high-frequency job, watch what it actually consumes for two weeks, then widen the brief.
Where it beats Otto is reach and how quickly you can start. Viktor is self-serve with a free credit allowance, no card and no sales call, and the breadth of connection it advertises is the largest on this page. Where it loses is enterprise lineage. Workato is an integration platform first, so Otto inherits governance, environment separation, and audit posture that a younger product answers more lightly. Against Dash, the trade is breadth against control: Viktor connects to more, Dash puts an approval gate in front of every action rather than only the ones you cannot undo.
The honest operating reality is credits. Viktor bills in credits that map to real model usage, which means the same job can cost a different amount on different runs, and reviewers consistently report credits burning faster than expected. Model your busiest intended job before you roll it out widely. We run Slack and a stack of Slack apps ourselves, and the pattern worth repeating is to start with one narrow high-frequency job, watch what it actually consumes for two weeks, then widen the brief.
Choose it if: you are buying on connector breadth and want the widest catalogue on this page.
Skip it if: you need predictable per-seat cost, or your data cannot sit on a vendor’s cloud.
Skip it if: you need predictable per-seat cost, or your data cannot sit on a vendor’s cloud.
Bottom line: The runner-up on this list, and the right call when connector breadth decides it.
Check out the pricing plan for Viktor.
Lindy
Lindy lets you build AI assistants that handle recurring work and then puts them in Slack, iMessage, Gmail, and the browser. It is the value pick in this category: the same in-chat coworker idea with pricing you can plan around.
Best for: Small and mid-size teams that want an in-chat coworker without credit-burn anxiety.
Best for: Small and mid-size teams that want an in-chat coworker without credit-burn anxiety.
Features
- Assistants built from a plain-language description
- Lives in Slack, iMessage, Gmail, and the browser
- Connects to the common business tools
- Meeting notetaking and follow-up built in
- A library of prebuilt assistants to start from
- Triggers from schedules, chat, forms, and calendar
Pros
- Fastest path from an idea to a working coworker
- Priced for small teams rather than enterprises
- Skills you save once are shared with the whole team
Cons
- Not built for enterprise governance or a security review
- Shallower per-integration depth than platform-first rivals
- Long multi-step chains need watching
Lindy is the one alternative that reviewers consistently name as the sane substitute for a credit-metered coworker. The premise is the same as Otto’s and Viktor’s: describe the job, and the assistant handles it inside the tools your team already uses. The difference is that Lindy is built for a team that will never sign an enterprise platform contract.
Against Otto, this is a different weight class and that is the point. Otto’s enterprise connectivity and approval architecture are things a twenty-person company does not need and cannot justify. Lindy gives that company most of the practical benefit of a collaborative agent, up front, without a procurement cycle.
The honest limit is depth under load. Long chains across several systems are where lighter builders drift, so keep each assistant narrow and check its work for the first fortnight. We have not run Lindy ourselves, so treat this as a read of the product and its reception rather than lived operating experience. What we would check first is whether the two or three integrations you actually depend on are deep enough to carry the job.
Against Otto, this is a different weight class and that is the point. Otto’s enterprise connectivity and approval architecture are things a twenty-person company does not need and cannot justify. Lindy gives that company most of the practical benefit of a collaborative agent, up front, without a procurement cycle.
The honest limit is depth under load. Long chains across several systems are where lighter builders drift, so keep each assistant narrow and check its work for the first fortnight. We have not run Lindy ourselves, so treat this as a read of the product and its reception rather than lived operating experience. What we would check first is whether the two or three integrations you actually depend on are deep enough to carry the job.
Choose it if: you want an in-chat coworker with a bill you can forecast, and your jobs are recurring rather than sprawling.
Skip it if: you have a security review to pass, or you need long multi-system chains running unattended.
Skip it if: you have a security review to pass, or you need long multi-system chains running unattended.
Bottom line: The best-value Otto by Workato alternative, and the right call for teams that will never buy an enterprise platform.
Check out the pricing plan for Lindy.
Claude Tag
Claude Tag, officially @Claude, puts Claude directly into Slack threads. You mention it, it reads the whole thread, understands the context, and replies in place. It is the lightest-touch collaborative agent on this list.
Best for: Teams already paying for Claude who want an assistant inside conversations they are already having.
Best for: Teams already paying for Claude who want an assistant inside conversations they are already having.
Features
- Mention it in any Slack thread to bring it in
- Reads the full thread for context before replying
- Answers, drafts, and pulls data in place
- Connects to the tools Claude already supports
- Microsoft Teams support announced
- No new surface for the team to learn
Pros
- Zero adoption friction, it is just another thread participant
- Reasoning quality is at the top of this list
- Already covered if you pay for Claude Team or Enterprise
Cons
- Beta, limited to Team and Enterprise customers
- Lighter on taking action across systems than Viktor or Otto
- Teams support is still coming rather than shipped
Claude Tag is the answer when the honest version of your requirement is not a teammate that runs projects, but a very capable colleague you can pull into a thread. You mention it, it reads everything above, and it responds with the context already loaded. The adoption cost is genuinely zero, which is rarer than it sounds.
Against Otto, the trade is reasoning versus execution. Otto is built to complete projects across systems with approvals and auditability. Claude Tag is built to be present in the conversation and to be extremely good at the thinking part. If your team’s bottleneck is judgement, drafting, and getting unstuck rather than cross-system execution, this is the better buy and it is far cheaper.
Two honest cautions. It is beta and restricted to Claude Team and Enterprise, so it is not a universal option. And it will not replace a tool that has to reach into six systems and change records in each. We run our own multi-agent setup on this class of model, so we can say with some confidence that the reasoning is not the weak point here; the breadth of action is.
Against Otto, the trade is reasoning versus execution. Otto is built to complete projects across systems with approvals and auditability. Claude Tag is built to be present in the conversation and to be extremely good at the thinking part. If your team’s bottleneck is judgement, drafting, and getting unstuck rather than cross-system execution, this is the better buy and it is far cheaper.
Two honest cautions. It is beta and restricted to Claude Team and Enterprise, so it is not a universal option. And it will not replace a tool that has to reach into six systems and change records in each. We run our own multi-agent setup on this class of model, so we can say with some confidence that the reasoning is not the weak point here; the breadth of action is.
Choose it if: you already pay for Claude Team or Enterprise and want an assistant inside existing Slack threads with no rollout.
Skip it if: you need an agent that executes across many systems, or you are on Microsoft Teams today.
Skip it if: you need an agent that executes across many systems, or you are on Microsoft Teams today.
Bottom line: The lowest-friction Otto by Workato alternative, strongest on thinking rather than doing.
Check out the pricing plan for Claude Tag.
Claude Cowork
Claude Cowork is Anthropic’s coworker for files rather than channels: you point it at a folder and your connected tools, give it plain-language instructions, and it works through the task while you do something else. Its site says it works with a paid plan, with web and mobile still rolling out.
Best for: Individuals and small teams whose work is documents and files rather than channel requests.
Best for: Individuals and small teams whose work is documents and files rather than channel requests.
Features
- Works on a folder on your own computer
- Plain-language instructions, no workflow building
- Queues and runs multiple tasks in parallel
- Scheduled tasks that run unattended
- Large context for document-heavy work
- Desktop builds for macOS, Windows, ChromeOS, and Linux
Pros
- No team Slack required, it works for one person
- Genuinely strong on long document and file work
- Works with a paid Claude plan you may already hold
Cons
- Desktop-bound, so it is not in the channel with the team
- Not a shared surface, so there is no team visibility
- Weaker on acting across live business systems
Claude Cowork is the collaborative agent for people whose work lives in files rather than in a channel. It runs as a desktop app, with web and mobile rolling out, takes a folder and an instruction, and works through the job in the background, running several tasks in parallel and handing back finished output. It can also open a browser inside its own side panel rather than driving yours.
It is on this list because it competes for the same budget and the same intent as Otto, but it answers a different half of the question. Otto is a shared teammate everyone can call on. Cowork is your teammate, on your machine, working your files. If the work you wanted to hand Otto turns out to be reports, expense reconciliation, and document reorganisation, Cowork does it better and costs a fraction as much.
The honest caution is that this is not a team product. There is no shared thread, no channel visibility, and no colleague being unblocked by watching the agent work. If your goal was to give a whole team an AI coworker, this is the wrong shape, and Viktor or Lindy is the right one. We run Claude-based agents ourselves and the boundary is real: desktop agents are excellent at deep individual work and invisible to everyone else.
It is on this list because it competes for the same budget and the same intent as Otto, but it answers a different half of the question. Otto is a shared teammate everyone can call on. Cowork is your teammate, on your machine, working your files. If the work you wanted to hand Otto turns out to be reports, expense reconciliation, and document reorganisation, Cowork does it better and costs a fraction as much.
The honest caution is that this is not a team product. There is no shared thread, no channel visibility, and no colleague being unblocked by watching the agent work. If your goal was to give a whole team an AI coworker, this is the wrong shape, and Viktor or Lindy is the right one. We run Claude-based agents ourselves and the boundary is real: desktop agents are excellent at deep individual work and invisible to everyone else.
Choose it if: your work is document and file heavy and you want an agent for yourself rather than for a channel.
Skip it if: you wanted a shared teammate the whole team can call on in Slack.
Skip it if: you wanted a shared teammate the whole team can call on in Slack.
Bottom line: The best Otto by Workato alternative for deep individual work, and the wrong one for a team surface.
Check out the pricing plan for Claude Cowork.
Grok Bot
Grok Bot, published at x.ai/bot, lets one person run several named agents at once. Its site describes bots that sign in to your tools and use them the way you would, each with its own computer, running in parallel around the clock even when your laptop is closed.
Best for: Teams that want a fleet of always-on agents rather than one assistant.
Best for: Teams that want a fleet of always-on agents rather than one assistant.
Features
- Multiple named agents on a shared persistent cloud computer
- Signs in to your apps and websites and drives them directly
- Desktop apps for macOS and Windows plus an iOS app
- Agents hand work to each other automatically
- A recording mode that learns a workflow by watching
- Runs while you are away from the machine
Pros
- The clearest multi-agent model of anything here
- Genuinely always-on rather than request-response
- Teach it a workflow by letting it watch you do it once
Cons
- Early beta, reached through higher subscription tiers rather than sold directly
- Consumer subscription packaging is an awkward fit for a company
- Too new to have a track record
Grok Bot is the newest product on this list, which is precisely why it belongs on it. It takes the collaborative agent idea plural: instead of one teammate you run a fleet of named bots that share a persistent cloud computer, work in parallel around the clock, and hand work between themselves when you put several in the same thread.
Against Otto, the interesting difference is autonomy. Otto is a teammate you brief. Grok Bot is closer to a set of standing staff who keep working after everyone has gone home, triggered by a new Slack message or a Git event rather than by a person asking. For recurring monitoring and background work, that shape fits better than a conversational teammate does.
Two honest cautions, both about maturity. It is beta, and access is bundled into higher-tier subscriptions rather than sold as a business product, which makes procurement awkward. And it is weeks old at the time of writing, so nobody has a year of operating experience with it. We have not run it. The reason it is here is that it is the most credible new entrant in this category and ignoring it would date the page immediately.
Against Otto, the interesting difference is autonomy. Otto is a teammate you brief. Grok Bot is closer to a set of standing staff who keep working after everyone has gone home, triggered by a new Slack message or a Git event rather than by a person asking. For recurring monitoring and background work, that shape fits better than a conversational teammate does.
Two honest cautions, both about maturity. It is beta, and access is bundled into higher-tier subscriptions rather than sold as a business product, which makes procurement awkward. And it is weeks old at the time of writing, so nobody has a year of operating experience with it. We have not run it. The reason it is here is that it is the most credible new entrant in this category and ignoring it would date the page immediately.
Choose it if: you want several always-on agents working in the background rather than one teammate you talk to.
Skip it if: you need a mature product with a track record, or a clean business purchasing path.
Skip it if: you need a mature product with a track record, or a clean business purchasing path.
Bottom line: The most interesting new Otto by Workato alternative, and the least proven.
Check out the pricing plan for Grok Bot.
Hermes Agent
Hermes Agent is Nous Research’s open-source autonomous agent, released in February 2026. It runs on your own server, connects to Slack through Socket Mode, remembers context across conversations, and spawns specialist sub-agents.
Best for: Teams that want a real chat teammate without handing an outside vendor their credentials.
Best for: Teams that want a real chat teammate without handing an outside vendor their credentials.
Features
- Open source and self-hosted, free to run
- Slack via Socket Mode, plus WhatsApp and Telegram
- Persistent memory across conversations
- Bot mode for a team of specialist agents
- Delegates and parallelises to sub-agents
- Full Slack feature support including threads and files
Pros
- Self-hosting removes the data residency conversation entirely
- No per-seat licence cost at all
- Genuinely a chat teammate, not a workflow canvas
Cons
- You own uptime, upgrades, and security
- Needs engineering capacity to stand up and keep running
- Younger and less polished than the commercial options
Hermes Agent is the answer for teams that looked at Otto and stopped at the part where an outside vendor needs credentialled access to every system the business runs on. Self-host Hermes and that access never leaves your infrastructure. It connects to Slack properly, with threads, files, reactions, and streaming replies, and it keeps memory across conversations rather than starting cold.
Against Otto you are trading a finished product for control. Otto arrives as a teammate. Hermes arrives as a repository, and you stand the teammate up. For an engineering-led team that is a feature: the result is inspectable, versionable, and yours. For a business team without engineering support it is a project that will stall in week two.
The honest cost is operational, not licensing. A self-hosted agent holding credentials for every system you run is production infrastructure and needs treating as such: monitored, patched, backed up, access-controlled. Teams that skip that end up with one unmonitored container quietly holding the keys to the company. We run a documented workflow layer underneath our own agents, and the practice worth copying is pairing every agent with a deterministic workflow that can do the job when the agent cannot.
Against Otto you are trading a finished product for control. Otto arrives as a teammate. Hermes arrives as a repository, and you stand the teammate up. For an engineering-led team that is a feature: the result is inspectable, versionable, and yours. For a business team without engineering support it is a project that will stall in week two.
The honest cost is operational, not licensing. A self-hosted agent holding credentials for every system you run is production infrastructure and needs treating as such: monitored, patched, backed up, access-controlled. Teams that skip that end up with one unmonitored container quietly holding the keys to the company. We run a documented workflow layer underneath our own agents, and the practice worth copying is pairing every agent with a deterministic workflow that can do the job when the agent cannot.
Choose it if: you have engineering capacity and data residency or vendor independence decides the purchase.
Skip it if: nobody wants to own infrastructure, or you need a working teammate this week.
Skip it if: nobody wants to own infrastructure, or you need a working teammate this week.
Bottom line: The best self-hosted Otto by Workato alternative for teams that want a real chat teammate they control.
Check out the pricing plan for Hermes Agent.
OpenClaw
OpenClaw is an open-source personal AI assistant that runs entirely on your own machine and connects to Slack alongside more than two dozen other chat apps. It manages email, calendar, browser tasks, and files, and executes rather than just answering.
Best for: Individuals and small technical teams who want local control over the whole thing.
Best for: Individuals and small technical teams who want local control over the whole thing.
Features
- Runs entirely on your own Mac, Windows, or Linux machine
- Slack plus dozens of other chat channels
- Reads and writes files, browses, and calls APIs
- Bring your own model and your own API keys
- Fully open source, managed by a foundation
- Per-message identity for running several agents
Pros
- Nothing leaves your machine, which ends the security conversation
- Free and open source, you pay only for model usage
- Widest range of chat surfaces of anything on this list
Cons
- Personal-first, so team governance is largely absent
- Requires comfort with self-hosting and API keys
- Runs on your machine, so it stops when your machine does
OpenClaw takes the collaborative agent idea and pushes it all the way to local. It runs on your own computer, connects to Slack and around thirty other chat surfaces, and does real work: reading and writing files, browsing, sending messages, calling APIs. Your memories, your skills, your models, your machine.
Against Otto the contrast is total. Otto is an enterprise product on a vendor’s platform with approvals and audit as selling points. OpenClaw is a personal agent with no vendor in the middle at all. Teams have wired it up to run several agents as distinct Slack participants, which gets surprisingly close to the multiplayer feel Otto is selling, assembled rather than bought.
The honest caution is that it is personal-first. There is no company-wide governance story, no admin console, and no audit trail your compliance team will accept as-is. It also stops when your machine stops, unless you put it on a server, at which point you have taken on the operational burden described under Hermes. We have not run OpenClaw in production, so this is a read of the project and its documentation rather than operating experience.
Against Otto the contrast is total. Otto is an enterprise product on a vendor’s platform with approvals and audit as selling points. OpenClaw is a personal agent with no vendor in the middle at all. Teams have wired it up to run several agents as distinct Slack participants, which gets surprisingly close to the multiplayer feel Otto is selling, assembled rather than bought.
The honest caution is that it is personal-first. There is no company-wide governance story, no admin console, and no audit trail your compliance team will accept as-is. It also stops when your machine stops, unless you put it on a server, at which point you have taken on the operational burden described under Hermes. We have not run OpenClaw in production, so this is a read of the project and its documentation rather than operating experience.
Choose it if: you want an agent that runs locally with no vendor in the middle, and you are comfortable self-hosting.
Skip it if: you need company-wide governance, an admin console, or an audit trail for compliance.
Skip it if: you need company-wide governance, an admin console, or an audit trail for compliance.
Bottom line: The most private Otto by Workato alternative, and a personal tool rather than a company one.
Check out the pricing plan for OpenClaw.
Dust
Dust is a platform for building and sharing AI agents across a company. Rather than one teammate, you get a directory of purpose-built agents that colleagues can call on, in its web app and a Chrome extension, with Slack and Microsoft Teams available as connected tools rather than as a native chat surface.
Best for: Companies rolling agents out across several teams rather than piloting one.
Best for: Companies rolling agents out across several teams rather than piloting one.
Features
- A shared directory of company agents
- Agents built per team and per use case
- Web app plus a Chrome extension, Slack and Teams as connectors
- A catalogue its site puts at 70+ connectors
- Usage visibility across the organisation
- Self-serve entry with enterprise tiers above
Pros
- The best answer to the go from one agent to many problem
- Shared agents mean good ones get reused rather than rebuilt
- Self-serve, so a team can prove it before the company buys
Cons
- Somebody has to own and curate the agent directory
- Less of a single teammate feel than Viktor or Otto
- Depth per agent depends entirely on how well it was built
Dust answers the question that arrives about four months after you buy any collaborative agent: what happens when there are twenty of them. Instead of one teammate, Dust gives you a directory of agents built for specific jobs, shared across the company, callable in the web app or through its Chrome extension.
Against Otto this is breadth of deployment rather than depth of a single relationship. Otto is one very capable colleague. Dust is the org chart. If your intention is to give marketing, support, and finance each their own agent and have the good ones spread, Dust is built for exactly that and Otto is not.
The honest caution is curation. A shared agent directory with no owner becomes a graveyard of half-built agents nobody trusts, which is the same failure mode as an unmaintained template library. Somebody has to own it. We run several agents ourselves and the lesson that transfers is that the hard part is never the individual agent, it is ownership and knowing which one is authoritative for a given job.
Against Otto this is breadth of deployment rather than depth of a single relationship. Otto is one very capable colleague. Dust is the org chart. If your intention is to give marketing, support, and finance each their own agent and have the good ones spread, Dust is built for exactly that and Otto is not.
The honest caution is curation. A shared agent directory with no owner becomes a graveyard of half-built agents nobody trusts, which is the same failure mode as an unmaintained template library. Somebody has to own it. We run several agents ourselves and the lesson that transfers is that the hard part is never the individual agent, it is ownership and knowing which one is authoritative for a given job.
Choose it if: you are deploying agents across multiple teams and need them shared, discoverable, and reusable.
Skip it if: you want one capable teammate, or nobody will own curating the directory.
Skip it if: you want one capable teammate, or nobody will own curating the directory.
Bottom line: The best Otto by Workato alternative when the goal is many agents across a company, not one teammate.
Check out the pricing plan for Dust.
Glean Agents
Glean built permission-aware enterprise search first and agents on top of it. Its agents act on a foundation of everything the company knows, respecting the permissions of every source, and are available in Slack, Teams, and the browser.
Best for: Large organisations where the real bottleneck is context, not execution.
Best for: Large organisations where the real bottleneck is context, not execution.
Features
- Permission-aware index across your content systems
- Answers with citations back to the source
- Agents that act on that grounded foundation
- Available in Slack, Teams, browser, and web
- Connectors into the common enterprise systems
- Personalisation by team, role, and project
Pros
- Retrieval quality is the best on this list by a clear margin
- Permission awareness means it cannot leak what a user cannot see
- Citations make answers checkable rather than trusted blindly
Cons
- Sales-led with no published pricing, so evaluation takes weeks
- Value depends entirely on how much content it can index
- Action-taking is younger than its search, which is its real strength
Glean Agents is the pick when you look at Otto and realise the actual problem is not that work does not get done, it is that nobody can find the context needed to do it. Glean indexes your drives, wikis, tickets, and chats, honours each source’s permissions, answers with citations, and then runs agents on that same grounded foundation.
Compared to Otto, Glean is stronger on knowing and lighter on doing. Otto’s design centre is completing a project across systems with approvals. Glean’s is understanding everything the company has written down and acting from there. If your agents keep failing for lack of context rather than lack of permission to act, Glean is the better buy and it is not close.
The migration reality is indexing. Glean is only as good as the systems you connect, and connecting them is real work involving IT and security. Budget for that rather than expecting value in week one. Note also that Glean does not publish pricing, which is itself useful information: this is an enterprise purchase with a procurement cycle, not something an ops lead expenses. We have not run Glean, so this describes the product shape and the buying motion, not our own usage.
Compared to Otto, Glean is stronger on knowing and lighter on doing. Otto’s design centre is completing a project across systems with approvals. Glean’s is understanding everything the company has written down and acting from there. If your agents keep failing for lack of context rather than lack of permission to act, Glean is the better buy and it is not close.
The migration reality is indexing. Glean is only as good as the systems you connect, and connecting them is real work involving IT and security. Budget for that rather than expecting value in week one. Note also that Glean does not publish pricing, which is itself useful information: this is an enterprise purchase with a procurement cycle, not something an ops lead expenses. We have not run Glean, so this describes the product shape and the buying motion, not our own usage.
Choose it if: your company’s real constraint is retrieving its own knowledge and you have IT capacity for a connector project.
Skip it if: you are a small team, you need pricing transparency, or your content already lives in one searchable place.
Skip it if: you are a small team, you need pricing transparency, or your content already lives in one searchable place.
Bottom line: The strongest Otto by Workato alternative when context, not execution, is the actual bottleneck.
Check out the pricing plan for Glean Agents.
Pair your collaborative agent with a process layer
A collaborative agent can complete a task. It cannot, on its own, tell you what the task is supposed to look like when it is done right. That definition lives in your documented process: the onboarding steps, the approval gates, the compliance sign-offs, the SOPs your team follows every time. Agents without that layer improvise, and improvisation is exactly what an auditor will ask you about. We run documented, repeatable workflows behind our own agents for this reason, and Process Street, a sister brand of this publication, is built for it, with recurring checklists, approval steps, conditional logic, and AI-assisted process automation that sit alongside your agents rather than replacing them. A useful sequence is to document the process first, automate the deterministic parts second, and hand the agent the judgement-heavy remainder third. If you are choosing the workflow layer as well as the agent, our roundup of compliance workflow tools for regulated teams covers that side of the stack, and SOP software covers the documentation itself.
Otto by Workato is a genuinely strong product and we are not talking anyone out of it. But best is about fit, and any tool above can be the better call for a specific team shape, stack, and timeline.
Otto by Workato is a genuinely strong product and we are not talking anyone out of it. But best is about fit, and any tool above can be the better call for a specific team shape, stack, and timeline.
Collaborative agent must-have features
It sits in the channel, not behind its own login
This is the defining feature of the category and the biggest predictor of adoption we have seen. An agent behind its own portal gets used in week one and forgotten by week four. The ones that stick are in Slack, Teams, or the inbox, because the request costs nothing to make. It is why Otto’s chat-first design is the right instinct even if the product is not the right buy for you.
It completes work, not just sentences
The dividing line is whether the tool finishes the job or hands you a draft. Ask for a demo of an agent creating a record, sending the message, and updating the second system, not an agent summarising a document. Summarisation is table stakes now. Completion is the product, and it is what separates a collaborative agent from a chatbot.
It holds context across the conversation
A colleague does not need the background repeated every message. Neither should the agent. Check whether it reads the whole thread before replying, whether it remembers earlier decisions in the same project, and how long that memory lasts. Agents that start cold every time create more work than they absorb.
Approvals with a human in the loop
Any agent with write access to real systems needs a gate before it commits consequential actions. Check that approvals are configurable per action rather than global, that the approver sees enough context to decide, and that a rejected action leaves a record. An agent that can only be all-on or all-off will end up all-off.
An audit trail somebody can actually read
When an agent does something unexpected, and it will, you need to reconstruct what it saw, what it decided, and what it changed. Ask specifically how far back run history is retained and whether it survives the agent being edited, because plenty of tools quietly reset history when the instructions change.
Governed access to your systems
The agent inherits credentials into your business systems, which makes it a security surface, not just a productivity tool. Look for scoped permissions per connection, separation between test and production, credential rotation, and a clear answer on where data is processed. This is where the self-hosted options earn their keep.
Depth in the integrations you actually use
Connector counts are marketing. What matters is whether the three systems your work depends on are supported deeply enough for the specific operations you need. Take your top job, list the exact operations it requires, and check those. A tool advertising thousands of connections can still fail your one real use case.
A deterministic fallback
The best-run agent deployments we know pair every agent with a plain workflow that can do the same job less cleverly. When the agent is unavailable, rate-limited, or wrong, work degrades instead of stopping. We run our own documented workflow layer underneath our multi-agent setup for exactly this reason, and it has saved us more than once.
Predictable cost at real volume
Credit and consumption pricing is the norm in this category, which means a successful pilot can produce a surprising invoice. Several of the tools here bill in credits that map to model usage, so the same task costs a different amount on different runs. Model the busiest agent at realistic volume before rollout, and ask what happens at the cap.
A path from one agent to many
The first agent is easy. The tenth is a coordination problem: overlapping permissions, unclear ownership, and two agents editing the same record. Ask how the tool handles multiple agents, shared tools, and ownership before you need the answer, because retrofitting governance across ten live agents is considerably harder than designing it for one.
The same list as a checklist you can take into a vendor call.
| Must-have | What to ask the vendor | Walk away if |
|---|---|---|
| Lives in the channel | Which of Slack or Teams is native today, not on the roadmap | The only surface is its own portal |
| Completes work | Demo an agent creating a record and updating a second system | The demo is a summary, not an action |
| Holds context | Does it read the whole thread, how long does memory last | Every message starts cold |
| Approvals | Are approvals configurable per action | Approvals are all-on or all-off |
| Audit trail | How long is run history kept, does it survive an edit | History resets when the agent changes |
| Governed access | Scoped permissions, test and production separation | One shared credential for everything |
| Integration depth | The exact operations your top job needs | Connector count is the only answer |
| Deterministic fallback | What runs when the agent is unavailable | The answer is nothing |
| Predictable cost | Model the busiest agent, what happens at the cap | Cost cannot be modelled before rollout |
| One agent to many | How are overlapping permissions and ownership handled | There is no answer yet |
Otto by Workato alternatives: frequently asked questions
What is the best alternative to Otto by Workato?
Dash is the best alternative to Otto by Workato for most teams. It is an AI teammate in Slack and Microsoft Teams that connects to 3,000+ tools and asks before it sends, posts, writes, or spends. Viktor is the runner-up when connector breadth matters more than an approval gate. Dash is a Process Street product.
Is Otto by Workato generally available?
Yes, with two entry points. Otto sells a self-serve free trial with a live login at getotto.ai, and its enterprise offering on workato.com carries a Get Early Access form instead of a signup. So Otto is buyable today for individuals and teams, while the enterprise edition is the gated half.
What is a collaborative agent, and how is it different from workflow automation?
A collaborative agent sits in the chat surface with your team, holds context across a conversation, takes a goal in plain language, and decides the steps. A workflow automation tool needs every branch defined in advance and runs the same path every time. Otto and everything on this list are the former.
Is there a free alternative to Otto by Workato?
Yes. Hermes Agent and OpenClaw are both open source under the MIT licence and free to run, though you pay in infrastructure, engineering time, and model usage. Dash, Viktor, and Lindy all offer free starting credits or a free trial, which is enough to test a teammate but not to run one at real volume.
Are there open source Otto by Workato alternatives?
Two. Hermes Agent from Nous Research is MIT licensed, installs on macOS, Windows, or Linux, and reaches Slack alongside Telegram, Discord, WhatsApp, Signal, and email. OpenClaw is also MIT licensed, runs entirely on your own machine, and supports Slack alongside its other chat channels. Both are the right answer when data residency decides the purchase.
How does Otto by Workato compare to Viktor?
Both are AI coworkers in Slack and Microsoft Teams that complete work across connected systems. Otto is built on Workato’s enterprise integration platform and claims 1,400+ apps. Viktor is self-serve with a free credit allowance and claims 3,200+ tools. Otto has the stronger enterprise lineage; Viktor has the wider catalogue.
Can Claude Tag replace Otto by Workato?
Partly. Claude Tag is excellent at reasoning inside an existing Slack thread, but it is lighter on executing across many business systems, and its site says it is in beta for Claude Enterprise and Team in Slack, with Microsoft Teams on a waitlist. If your bottleneck is judgement rather than cross-system execution, it is enough. If it is execution, it is not.
Which Otto by Workato alternative has the strongest approval controls?
Dash. Its site states that it asks before sending, posting, writing, or spending, and lists an approval flow on every action rather than only on actions that cannot be undone. Otto and Viktor both describe approvals before sensitive actions. Glean and Dust describe governance and human review, which is not the same as a per-action gate.
Can a collaborative agent replace a workflow tool?
No, and treating it as a replacement is a common mistake. An agent handles judgement and variation; a workflow tool guarantees the same steps happen the same way every time, which is what compliance and audit actually require. The strongest setups run agents on top of a documented process layer, not instead of one.
What is the biggest risk with collaborative agents?
Ungoverned system access. An agent holding credentials for your CRM, your finance system, and your document store is a security surface, and most incidents in this category are permissions problems rather than model problems. Scope every connection to the minimum the job needs, and make sure someone can reconstruct any run afterwards.
