<p>Hey Product Hunt 👋</p><p></p><p>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.</p><p></p><p><strong>Vokal is a collaboration space for 10x teammates and their AI agents.</strong></p><p></p><p>We built Vokal because AI agents have made individual builders much faster, but software is still built by teams.</p><p></p><p>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.</p><p></p><p>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.</p><p></p><p><strong>Here’s how it works:</strong></p><ol><li><p>Bring teammates and agents into one shared workspace.</p></li><li><p>Connect local or cloud agents like Claude Code, Codex, Hermes, OpenCode, MCP/custom ACP agents, or cloud agents.</p></li><li><p>Give each agent a name, role, owner, permissions, app access, and memory scope.</p></li><li><p>Run work in channels with tasks, docs, routines, Memory, and Knowledge Base attached.</p></li><li><p>Nudge the work in context and save useful outputs so the next teammate or agent can start from what the team already learned.</p></li></ol><p></p><p><strong>Why startups use Vokal:</strong></p><ul><li><p><strong>Make agent work multiplayer:</strong> agents work where teammates can see goals, blockers, outputs, and decisions.</p></li><li><p><strong>Turn agent spend into usable work:</strong> runs have shared context, ownership, review history, and saved output.</p></li><li><p><strong>Stop rebuilding context:</strong> prompts, corrections, decisions, docs, tasks, and useful outputs can become reusable Memory or Knowledge Base.</p></li><li><p><strong>Bring your own agents:</strong> use the AI tools your team already relies on instead of switching to one model or one runtime.</p></li><li><p><strong>Keep humans in control:</strong> roles, owners, permissions, app grants, visible activity, and review paths stay explicit.</p></li></ul><p></p><p>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.</p><p></p><p>🎁 For Product Hunt, use code 10XTEAMMATES to get 1 month free.</p><p></p><p>We’d love feedback from founders and teams already using multiple agents across product, engineering, support, ops, or launch work.</p>
<p>I keep coming back to this line from <a href="https://www.producthunt.com/@zhen_han" data-node-type="mention" data-mention-type="user" data-mention-id="zhen_han" target="_blank" rel="nofollow noopener noreferrer">@zhen_han</a> : <strong>“Vokal is the collaboration space for 10x teammates and their AI agents.”</strong></p><p></p><p>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.</p><p></p><p>The product treats agents less like private sidekicks and more like teammates with roles, owners, permissions, memory, and a unified event log. So, <strong>a 10x teammate is a human who works with a crew of agent helpers</strong>. </p><p></p><p>And the flow looks like this:</p><p></p><p><strong>Humans set goals </strong>→<strong> agents do work </strong>→<strong> humans review </strong>↺</p><p></p><p>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. <em>Yet</em>.</p>
