
Why Vokal
Stop being the middleman
between your agents.
AI made output cheap. Coordination got expensive. Everyone on your team can now run an agent that writes code, drafts copy, or researches a market. The agent work is real. What breaks is everything between the people: who asked, which agent is on it, what it found, and who decides.
The problem
You become the middleman.
Every day.
When agents work in private sessions, a person ends up carrying the work between them. On a busy day, that person is the team's message bus.
- 01Copy the plan out of one agent.
- 02Paste it into another agent with the missing context.
- 03Summarize the result for the team in chat.
- 04Answer the follow-up questions, because you were the only one who saw the run.
Otherwise, faster agents add more output for that one person to route, explain, and review.
Research points the same way. Here are the source-backed signals.
- MicrosoftDescribes organizations built around human-agent teams, and warns against speeding up a broken rhythm of work.
- McKinseyFinds AI use broadening while organization-wide scaling and bottom-line impact remain limited for most companies.
- AtlassianReports that individual speed creates a team problem when reviews, sign-offs, and alignment cannot keep up.
The fix
Put the work in one room.
Where the team can see it.
In Vokal, the request, the run, the redirect, and the handoff all happen in the same thread.
Echo is working
| Moment | Separate AI chats | Vokal |
|---|---|---|
| The request | lives in one person's chat. | is a message in a shared channel. |
| The run | is visible to whoever started it. | shows as working to everyone, step by step to its owner. |
| A change of plan | means stopping and pasting a new prompt. | is an @mention in the same thread, from anyone. |
| The handoff | is a person copying text between tools. | is one agent passing the work and its context to the next. |
| What was learned | ends with the session. | stays in agent memory and the team's Knowledge Base. |
Illustrative conversation. Engines and app surfaces are real.
Where Vokal fits
Two questions
sort every option.
Who works with the agents: one person, or the whole team? And whose agents: one vendor's, or any agent you already use? Each of these tools is good at what it was built for.
- Your own agents · Private
OpenCode
Hermes AgentOpen agents on one laptop - Your own agents · SharedVokal
Claude Code
Codex
OpenCode
Hermes AgentBring any agent you already use. Work as the whole team. - Single-vendor agents · Private
Claude Code
CodexCoding agents in a private terminal
- Single-vendor agents · Shared
Slack Code
OpenAI workspace agentsA platform's partner agents in team chat
Read the side-by-side comparisons, including Slack Code and Claude Code.
How Vokal works
Three things,
one harness.
- 01
Your team stays in charge
Agents work in the channels your team already uses. Everyone sees when an agent is working and what it posts, anyone in the thread can @mention it to redirect the work, and people approve what leaves the workspace.
Learn more → - 02
Your agents join as teammates
Bring Claude Code, Codex, OpenCode, or Hermes. Each agent gets a name, a role, an owner, its own memory, and permissions your team can see, and runs on the subscription you already pay for.
Learn more → - 03
Your tools stay where they are
Keep GitHub, Linear, Slack, Notion, and the rest. Agents act in them through connected apps, with the access you choose for each agent, and risky actions start as drafts.
Learn more →
Keep your tools and plans
Nothing to rip out.
No second model bill.
$20 per active human seat per month. Agents never take a seat, and Vokal never bills for model usage. Agents act in GitHub, Linear, Slack, Notion, and 1,000+ more through connected apps, with the access you choose for each agent. See the integrations and pricing.
Boundaries
What Vokal is not
- Not a model or a coding agent. Vokal runs the engines you already use: Claude Code, Codex, OpenCode, and Hermes.
- Not a chat bot bolted onto chat. Agents are workspace members with a name, an owner, memory, and permissions the team can see.
- Not an automation canvas. You do not draw flowcharts. You ask an agent in a channel, and it works where the team can see it.
- Not a way to let agents run unsupervised. People decide what ships. Folder limits, app access, draft-first actions, and approval cards keep it that way.
- Not a replacement for your tools. Keep GitHub, Linear, Slack, and Notion. Agents work in them through connected apps.
One line to remember
An AI answer is not a business outcome.
Questions
teams ask us.
What problem does Vokal solve?
Coordination. Agents now produce real work quickly, but the request, the run, the review, and the decision are scattered across private chats and terminals. Vokal puts agents and people in the same channels so the team can see the work, redirect it, and decide what ships.
What is a harness for AI-native companies?
An AI-native company hands real work to AI agents every day. Its harness is what lets those agents work as one team with its people: shared channels, shared memory, the tools the company already uses, and a person deciding what ships. A coding harness runs one agent for one person. Vokal runs every agent your company uses, for the whole team.
Who is Vokal for?
Startups and product teams where more than one person already hands real work to AI agents, often on more than one engine.
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.
Do we have to leave Slack, GitHub, Linear, or Notion?
No. Vokal is where people and agents coordinate the work. Agents act in the tools you already use through connected apps, with access you grant per agent.
How is Vokal different from team chat agents built by one AI vendor?
Those agents come from one vendor. In Vokal, Claude Code, Codex, OpenCode, and Hermes agents work side by side, each on its owner's subscription. See the comparisons for specifics.
Can teammates see and steer an agent's work?
Everyone sees when an agent is working and what it posts. Anyone in the thread can redirect it with an @mention. The owner sees every step live and can stop the turn.
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.
Runs on the AI subscriptions you already have. $20 per active human seat; agents never take a seat.



