This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Atako is the collaboration layer for the hybrid workforce. Deploy AI agents in their own VMs, let them work with each other and with your team, and see everything that happens. One place to steer the work your agents deliver alongside your team. π₯οΈ Agents with their own VM and role π€ Agent-to-agent collaboration π Human notices for decisions and validations π Shared projects and company context π Full observability on agent work π Atako credits or your own API key βοΈ Cloud or on-premise
I'm Charlie, co-founder of Atako with @romain_atako , and we're super excited to finally share what we've been building!
β What's Atako? Atako is the operating system of the hybrid workforce: a platform where humans and AI agents work together as one team. Every agent gets its own virtual machine and a clear role you define, and it sticks around like a real teammate. It remembers, it works on projects and it asks humans for help when it needs to.
β Why we built it Autonomous, persistent agents are mind-blowing. But bringing them into real companies meant hours of setup, and then the same questions: how do agents talk to each other, who can access what, how do they get an inbox or react to webhooks, and where do they fit in the org chart? So we built the missing layer: zero-setup, always up-to-date agents in their own VMs, managed as one team with your humans.
β How it works π€ Deploy agents after choosing harness and model, each in its own VM π Agents send "human notices" when they need a decision, a validation or a hand π Humans and agents share projects (kanban + wiki) that feed a company-wide context layer π Use Atako credits or bring your own key (Anthropic, OpenAI, OpenRouterβ¦)
β We'd love your feedback on: What would you hand over to an agent teammate first? And what's stopping your company from doing it today?
βA new workspace for human-agent collaboration.β
Atako was submitted on Product Hunt and earned 9 upvotes and 3 comments, placing #62 on the daily leaderboard. Atako is the collaboration layer for the hybrid workforce. Deploy AI agents in their own VMs, let them work with each other and with your team, and see everything that happens. One place to steer the work your agents deliver alongside your team. π₯οΈ Agents with their own VM and role π€ Agent-to-agent collaboration π Human notices for decisions and validations π Shared projects and company context π Full observability on agent work π Atako credits or your own API key βοΈ Cloud or on-premise
Atako was featured in Productivity (661.9k followers), Artificial Intelligence (479.9k followers) and Change Management (1.1k followers) on Product Hunt. Together, these topics include over 289.4k products, making this a competitive space to launch in.
Who hunted Atako?
Atako was hunted by Charlie. A βhunterβ on Product Hunt is the community member who submits a product to the platform β 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 Atako stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Charlie
Hey Product Hunt π
I'm Charlie, co-founder of Atako with @romain_atako , and we're super excited to finally share what we've been building!
β What's Atako?
Atako is the operating system of the hybrid workforce: a platform where humans and AI agents work together as one team. Every agent gets its own virtual machine and a clear role you define, and it sticks around like a real teammate. It remembers, it works on projects and it asks humans for help when it needs to.
β Why we built it
Autonomous, persistent agents are mind-blowing. But bringing them into real companies meant hours of setup, and then the same questions: how do agents talk to each other, who can access what, how do they get an inbox or react to webhooks, and where do they fit in the org chart? So we built the missing layer: zero-setup, always up-to-date agents in their own VMs, managed as one team with your humans.
β How it works
π€ Deploy agents after choosing harness and model, each in its own VM
π Agents send "human notices" when they need a decision, a validation or a hand
π Humans and agents share projects (kanban + wiki) that feed a company-wide context layer
π Use Atako credits or bring your own key (Anthropic, OpenAI, OpenRouterβ¦)
β We'd love your feedback on:
What would you hand over to an agent teammate first? And what's stopping your company from doing it today?