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Vokal

A collaboration space for 10x teammates with their Al agents

Productivity
Messaging
Artificial Intelligence
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Hunted byChris MessinaChris Messina

Your Codex and my Codex can’t talk, so we play human telephone in Slack: copy prompts, paste summaries, ask for reviews, and lose the run. Vokal brings 10x teammates and their agents into one live workspace in minutes, whether they run local Codex, Claude Code, or Hermes — or in the cloud. Name your agents, give them roles, access, and memory, and work will happen in a shared collaboration space instead of through copy-paste handoffs.

Top comment

the review step in that flow is where most teams actually break down. everyone can set goals and agents can do work, but 'humans review' requires a skillset most teams havent developed yet — knowing what to check, how deeply to verify, and when to trust vs question the output. curious how Vokal handles that evaluation layer.

Comment highlights

Is this more like a peer programming where coworkers can prompt / work with AI agent within the same context ?

Congrats on the launch! I’ve seen a few projects like these, and my experience tells me that indeed, keeping team in sync becomes a bottleneck in this fast AI dev tooling world.

How does your tool approach integration with team’s agents, for instance Claude/Code? Does it replace the «brain» of that tools with its own, or integrates it via MCP/other means, or both?

the copy-paste handoff between slack and whatever agent you're running is so real. half my team's context gets lost in that gap. one workspace where the agents and humans are in the same thread makes way more sense than the screenshot-in-slack workflow we're doing now

Congrats on the launch! Curious what happens when two agents disagree on the same task does Vokal flag the conflict somehow or just pick one of the outputs?

I can see it work well for non-technical collaborators & AI users, but for engineers, why is it better than a well set repository with skills, subagents, or other assisting markdowns? Would love to know more

How granular are the app permissions? I’d want agents to access the right tools without giving them the whole company.

The emphasis on visible work is important. If agents are doing meaningful tasks, teammates need goals, blockers, outputs, and review history.

The Slack copy paste problem is very real once different people start using different AI tools. I like the idea of agents having roles and owners instead of everyone keeping their own private workflow. The useful part for teams might be less abt adding another AI tool and more abt making the work visible enough for others to review and continue. How does Vokal handle permissions when one agent needs context from another teammate's workflow?

Love the idea of giving AI agents a shared workspace instead of having context scattered across chats, docs, and screenshots. Congrats on the launch!

Strong launch. Vokal feels like an operating layer for teams moving from “we use AI tools” to “agents are part of how work gets done.”

The unified event log is interesting. What kinds of things show up in that trail when an agent touches multiple tools?

Does Vokal read all company data by default, or can teams scope what each agent sees?

The 'turn agent spend into usable work' line really resonates. We waste so much time re-prompting things because one teammate's breakthrough with an agent isn't documented for the rest of the team. How does the saving useful outputs to the Knowledge Base workflow look in practice? Is it manual or AI-assisted?

How would a support team use this when a customer issue needs to become an engineering task?

How does Memory / Knowledge Base work in practice? Is it more like saved prompts, team decisions, or both?

I keep coming back to this line from @zhen_han : “Vokal is the collaboration space for 10x teammates and their AI agents.”

Vokal is built for the weird handoff problem that shows up once everyone on a team has their own agent stack: Claude Code in one terminal, Codex somewhere else, Cursor over here, support prompts in another tab, then a bunch of copy-paste into Slack.

The product treats agents less like private sidekicks and more like teammates with roles, owners, permissions, memory, and a unified event log. So, a 10x teammate is a human who works with a crew of agent helpers.

And the flow looks like this:

Humans set goals agents do work humans review

That feels like the right frame: not “another AI chat app,” but infrastructure for the awkward middle stage where startups are already working with agents… just not together. Yet.

Hey Product Hunt 👋

I’m Zhen, founder of Vokal. Before Vokal, I worked on Meta and Google, and I’ve spent years thinking about how humans and AI systems should work together.

Vokal is a collaboration space for 10x teammates and their AI agents.

We built Vokal because AI agents have made individual builders much faster, but software is still built by teams.

Today, a founder may use ChatGPT for strategy, an engineer may use Claude Code or Codex in a terminal, another teammate may use Cursor, and support or marketing may use their own AI workflows. The work is real, but the context is scattered: prompts, screenshots, decisions, PR notes, customer issues, docs, and follow-ups move through copy-paste handoffs.

Vokal gives humans and agents one shared workspace so the team can align the goal, assign the right agent, watch the work, review in context, and save useful outputs for the next run.

Here’s how it works:

  1. Bring teammates and agents into one shared workspace.

  2. Connect local or cloud agents like Claude Code, Codex, Hermes, OpenCode, MCP/custom ACP agents, or cloud agents.

  3. Give each agent a name, role, owner, permissions, app access, and memory scope.

  4. Run work in channels with tasks, docs, routines, Memory, and Knowledge Base attached.

  5. Nudge the work in context and save useful outputs so the next teammate or agent can start from what the team already learned.

Why startups use Vokal:

  • Make agent work multiplayer: agents work where teammates can see goals, blockers, outputs, and decisions.

  • Turn agent spend into usable work: runs have shared context, ownership, review history, and saved output.

  • Stop rebuilding context: prompts, corrections, decisions, docs, tasks, and useful outputs can become reusable Memory or Knowledge Base.

  • Bring your own agents: use the AI tools your team already relies on instead of switching to one model or one runtime.

  • Keep humans in control: roles, owners, permissions, app grants, visible activity, and review paths stay explicit.

Most AI tools make one person faster. Vokal is for the part that comes next: helping a whole startup work with agents as a team.

🎁 For Product Hunt, use code 10XTEAMMATES to get 1 month free.

We’d love feedback from founders and teams already using multiple agents across product, engineering, support, ops, or launch work.

About Vokal on Product Hunt

A collaboration space for 10x teammates with their Al agents

Vokal launched on Product Hunt on June 2nd, 2026 and earned 352 upvotes and 45 comments, earning #2 Product of the Day. Your Codex and my Codex can’t talk, so we play human telephone in Slack: copy prompts, paste summaries, ask for reviews, and lose the run. Vokal brings 10x teammates and their agents into one live workspace in minutes, whether they run local Codex, Claude Code, or Hermes — or in the cloud. Name your agents, give them roles, access, and memory, and work will happen in a shared collaboration space instead of through copy-paste handoffs.

Vokal was featured in Productivity (652.9k followers), Messaging (51.9k followers) and Artificial Intelligence (469.9k followers) on Product Hunt. Together, these topics include over 246.3k products, making this a competitive space to launch in.

Who hunted Vokal?

Vokal was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Vokal stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.