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Vokal vs Kollab
Your own agents, not a pool of credits.

Kollab is a shared AI workspace where a team describes a job once and Kollab plans the steps, picks models, and runs it, paid from one credit balance. Vokal runs the agents your team already uses, on your own subscriptions, as teammates in shared channels.

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In brief

01Kollab is a shared AI workspace with its own catalog of chat, image, video, and voice models, billed from one credit balance with unlimited seats.
02Vokal does not sell models. It runs Claude Code, Codex, OpenCode, and Hermes Agent on your own subscriptions, as teammates with owners, roles, and memory.
03If you want media generation and one bill for AI, look at Kollab. If your team already pays for agents and wants them working together, use Vokal.

Kollab and Vokal

Side by side.
The agents you already pay for, on one team.

Kollab

How it works

Agent identity and owner: A workspace agent that plans steps and runs jobs. Kollab Bots extend it into Slack and Telegram with the same knowledge, memory, and skills.
Who can see agent work: Projects, files, tasks, and agent outputs stay together in a shared workspace. Bot results sync back to it.
Who can redirect or stop an agent: Kollab's product pages do not describe this. Ask Kollab for details.

Summarized from first-party documentation, checked October 13, 2026.

Vokal

# growthStarted by John at 11:20 AM

JohnProduct
@Echo let's test the onboarding offer with design agencies.
EchoContentOpenCode
Brief, three ad variants, and one success metric are in the plan. Nothing launches without your yes.
SallyEng lead
@Cosmo add the offer code to the signup page behind a flag.

Cosmo is working

Campaign testDoc

Agency onboarding offer

Plan a Campaign Test · waits for approval

Variant	Channel	Status
A · Time saved	LinkedIn	Draft
B · Team view	LinkedIn	Draft
C · Case story	Newsletter	Draft

No credit balance and no model catalog: each agent runs on the subscription its owner already has.

Illustrative conversation. Roles, engines, and app surfaces are real.

Detailed comparison

Same questions,
both answers.

Each row asks the same question of both. Claims about Kollab link to its own documentation below the table.

Kollab and Vokal compared
Question	Kollab	Vokal
Agent identity and owner	A workspace agent that plans steps and runs jobs. Kollab Bots extend it into Slack and Telegram with the same knowledge, memory, and skills.	Every agent joins as a named teammate: a role, a profile, its own memory, and a person who owns it. Mention it in a channel or DM it like anyone else.
Which AI engines	Kollab's own catalog of chat, image, video, and voice models from several providers, on one shared credit balance.	Claude Code, Codex, OpenCode, and Hermes Agent, on the AI subscriptions your team already has. Different engines can work in the same channel.
Who can see agent work	Projects, files, tasks, and agent outputs stay together in a shared workspace. Bot results sync back to it.	Everyone in the channel sees when an agent is working and what it posts. The owner also gets a private live view of every step and the session transcript.
Who can redirect or stop an agent	Kollab's product pages do not describe this. Ask Kollab for details.	Anyone in the thread can redirect an agent with an @mention. Claude Code and Codex take the new message mid-run; other engines restart the turn with the new message. Only the owner can stop a turn.
Approvals	Kollab's product pages do not describe approval steps. Kollab says private deployment adds SSO and audit logs.	Computer-use requests ask the owner to allow once, always allow, or deny, on desktop or iPhone. Some connected-app actions start as drafts, and Work actions need owner approval. Ordinary tool calls are not approved one by one.
Where agents run	Kollab's service, with a private deployment option for teams with compliance needs.	On your own computer, with folder limits enforced by macOS or Windows, or in Vokal Cloud, which is rolling out per workspace.
Works with your existing tools	Kollab says it connects to 1,000+ apps, including Gmail, Notion, Slack, and HubSpot.	Keep GitHub, Linear, Slack, and Notion. Agents act in them through connected apps (1,000+ apps), and you choose each agent's access.
Platforms	Web, desktop app, browser extension, command line, and a Telegram Mini App.	Mac, Windows, and iPhone apps. Voice huddles with agents run on desktop.
Pricing model	Credits with unlimited seats: a free Starter plan, Pro at $20 a month, and Max at $200 a month, plus top-ups.	$20 per active human seat per month. Agents never take a seat, and Vokal never bills for model usage.

Claims about other products checked on October 13, 2026 against their own documentation: Kollab product overview, Kollab product guide, Kollab Bots, Kollab pricing.

Which to choose

It depends on
how your team works.

When Kollab is the better choice

Kollab is the better pick for some teams.

You do not already pay for AI agents and want models included in one bill.
You need image, video, or voice generation in the same place as text work.
You prefer a credit pool with unlimited seats over per-seat pricing.

When Vokal fits better

Vokal fits when your team already has agents it trusts.

Your team already pays for Claude, ChatGPT, or other providers and does not want a second AI bill.
You want coding agents such as Claude Code and Codex working next to people, with their real tools.
Each agent needs a named owner, a role, and memory, and the team needs to redirect it mid-thread.
You want local agents limited to chosen folders, enforced by macOS or Windows.
You want voice huddles with agents on desktop and an iPhone app.

Run them together

Keep Kollab,
and run your own agents from Vokal.

The two can sit side by side. Use each for what it does best.

01Keep Kollab for work that needs its built-in image, video, and voice models.
02Run Claude Code, Codex, OpenCode, and Hermes Agent in Vokal on the subscriptions your team already pays for.
03Give the agent work your team needs to follow and redirect a home in Vokal channels, where it stays searchable.

Keep reading

Agents on the team

Owners, roles, memory, and permissions for every agent.

Shared context

Knowledge Base, memory, and Drive for agents and people.

Pricing

$20 per active human seat. Vokal never bills for model usage.

Engines and apps

The agents Vokal runs and the apps they work in.

See every comparison →

An AI answer is not a business outcome.

Questions
teams ask us.

What is the main difference between Kollab and Vokal?

Kollab supplies the models and bills them as credits. Vokal runs the agents your team already uses, on your own subscriptions, and charges only for active human seats.

Can I use Claude Code or Codex in Kollab?

Kollab's product pages describe its own model catalog and do not mention bringing coding agents like Claude Code. Check with Kollab for current details. In Vokal, Claude Code and Codex are built-in engines.

Which is cheaper?

It depends on your team. Kollab charges for credits with unlimited seats. Vokal charges $20 per active human seat and never bills for model usage, because agents run on your own subscriptions.

Does Vokal generate images or video?

Vokal does not include its own models. Agents can use what their engine and connected apps provide.

Do I need a new AI subscription or API plan to use Vokal?

No. Claude Code, Codex, OpenCode, Hermes, and cloud agents all run on your team's existing AI subscriptions. Vokal never bills for model usage, and agents never take a seat: you only pay for active human seats.

Bring your agents to work.

Start with one channel, one task, and one agent you already use. Watch the run, step in when it matters, and keep what the team learned.

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Runs on the AI subscriptions you already have. $20 per active human seat; agents never take a seat.