Your team already uses too many tools. What you need isn't another tool. You need something that actually runs the ones you have.
That's the promise both Vybe and Viktor are making: AI that does real work, not just answers questions. But the two platforms take very different approaches, and the gap matters more than it looks on paper.
Viktor puts a single AI coworker into your Slack and lets everyone on the team talk to it. Vybe lets you create a team of specialized agents, each with their own role, personality, tools, and apps they build and operate themselves.
What each platform actually does
Vybe
Vybe is a platform where AI agents build apps, connect to your tools, and autonomously run workflows. You create agents the way you'd staff roles on an org chart: give each one a name, a job description, and access to the systems they need.
An agent named Aaron handles product research. Another named Derrick runs the blog. A third handles customer success. Each agent lives where your team works (Slack, email, meetings, WhatsApp), connects to 3,000+ integrations plus a real browser, and builds its own internal apps when the job calls for one. Agents learn over time through a persistent memory system of notes and skills, getting sharper the more you use them.
Vybe is backed by a $10M seed round led by First Round Capital and is already running in production with enterprise design partners, including companies with 300-400+ employees.
Viktor
Viktor is a single AI coworker that lives in Slack (Microsoft Teams is on their roadmap). You install it once, and everyone on the team messages it like a colleague. It connects to 3,000+ tools through managed connectors and OAuth, pulls data, runs analysis, and delivers outputs like PDFs, spreadsheets, and deployed web apps.
Viktor raised a $75M Series A led by Accel in May 2026 and reports $15M ARR reached in roughly 10 weeks, with 12,000+ workspaces installed.
One coworker vs. a team of specialists
This is the core split between the two products.
Viktor gives you one AI. Everyone on the team talks to the same Viktor. It's fast to set up and simple to understand. For smaller teams where one person covers ops, marketing, and finance, a single AI coworker that can do a bit of everything works.
Vybe gives you a team of AI agents, each purpose-built for a role. Your chief of staff agent doesn't share context with your sales agent. Your compliance agent has different permissions than your content agent. Each one accumulates domain-specific memory and develops skills with the depth of a specialist.
Why does the distinction matter? Because real work is specialized. The person who manages your CRM pipeline shouldn't have the same system prompt, tool access, or learned behaviors as the person writing your blog. Separation of concerns applies to how agents work, too.
App building: a core capability, not a checkbox
Viktor builds web apps when you ask for them. Describe what you need, and it generates something with a database and UI, deployed and accessible. Clean and fast.
Vybe agents go further. They build apps as part of their job, then operate those apps autonomously. A CRM agent builds a pipeline tracker, connects it to HubSpot, and updates it on a cron every 30 minutes. A finance agent builds an AR dashboard and flags anomalies proactively. The app becomes the agent's workspace, not a deliverable for the user to manage.
Vybe agents also build full internal tools with real databases, custom UIs, and business logic that would otherwise take engineering weeks to ship. You can explore examples in the Vybe gallery.
Integrations and tool access
On paper, integrations are a draw. 3,000+ on each side through OAuth.
The difference is in scoping. Vybe's architecture gives each agent access to only the tools it needs. Your HR agent connects to Lucca and Google Calendar. Your sales agent connects to HubSpot and Gmail. Permissions are per-agent, not per-workspace.
Viktor connects tools at the workspace level, and each user authenticates their own OAuth connections. It inherits your Slack SSO and never stores passwords. But there's no per-agent scoping because there's only one Viktor.
Both platforms also include browser access for navigating web apps without APIs.
Autonomous operations
Viktor calls theirs the "heartbeat system." It observes how your team works and suggests automations. Once approved, tasks run on a schedule: morning briefings, weekly audits, anomaly alerts.
Vybe agents run autonomous cron jobs as a core part of how they operate. Each agent has its own schedule: check email every 30 minutes, post weekly SEO reports, run monthly audits, triage inboxes, chase stale deals. Agents don't just run tasks. They decide what to do based on accumulated knowledge, skills, and context.
Viktor's automations are workspace-wide. Vybe's are agent-specific, scoped to each agent's domain. That means your blog agent's automated workflows don't interfere with your sales agent's.
Security and compliance
Viktor relies on Slack-native auth (SSO/SAML, MFA) and workspace-scoped skills with per-user OAuth. EU data residency, configurable retention, RBAC, and private mode are all on the roadmap but not yet live.
Vybe is SOC 2 compliant, supports SSO via Google Workspace, and offers RBAC with per-agent permission controls. Because each agent is a separate entity with its own access scope, you get natural isolation between domains. Your HR agent never sees sales data unless you explicitly configure it.
For enterprise buyers who need role-based controls and data isolation today, not on a roadmap, Vybe has a concrete edge.
Pricing
Viktor:
- Free tier: $100 in credits, no credit card required
- Team: $50/month per workspace (20,000 credits)
- Enterprise: custom pricing
Credits map directly to model costs (Anthropic, OpenAI) with no markup. Smart caching reduces repeat workflow costs.
Vybe:
- Free tier available
- Team and Enterprise plans with custom pricing
- See vybe.build/pricing for current details
Viktor's credit-based model is transparent but can be hard to predict for heavy automation workloads. Vybe's pricing scales with agents and usage.
Who should choose which
Viktor is a good fit if:
- You're a small team (under 20 people) that wants a single AI assistant in Slack
- Your use cases are mostly ad-hoc: pull reports, draft emails, answer questions
- You want the simplest possible setup, install a Slack app and go
- You don't need per-agent RBAC or data isolation
Vybe is a better fit if:
- You want specialized agents, each with a distinct role, memory, and toolset
- You need agents that build and operate their own apps autonomously
- Security and compliance require per-agent RBAC, scoped permissions, and data isolation today
- You're running production workflows at scale
- You want agents that learn, accumulate context, and improve over time
- Your team spans multiple departments with different tool stacks and data access needs
FAQ
Is Viktor an AI agent platform or an AI assistant?
Viktor positions itself as an "AI coworker," a single AI that does real work across your tools from inside Slack. Vybe takes a different approach: you create multiple specialized agents, each operating as an autonomous worker with their own apps, tools, and memory.
Can Viktor build internal tools?
Viktor can build web apps with databases and UI on request. Vybe agents build internal tools as part of their workflow and then operate those tools autonomously, handling updates, alerts, and data management without requiring human involvement after setup.
Which platform is more enterprise-ready?
Vybe offers per-agent RBAC, scoped permissions, and data isolation today. Viktor's RBAC and private mode are on the roadmap but not yet available. Both are SOC 2 compliant.
Do both platforms work with Slack?
Yes. Viktor is Slack-native and also plans Microsoft Teams support. Vybe agents work across Slack, email, meetings, WhatsApp, and SMS, giving you more flexibility in where agents interact with your team.
Try Vybe today
If you're looking for AI agents that don't just chat but actually build, connect, and run your workflows autonomously, start with Vybe for free.
