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Markus
50x productivity boost with your own AI agent teams
Stop babysitting agents. Start running a team. Most AI tools today are single agents — copilots that answer questions or write code one prompt at a time. They're brilliant at one thing. But a single employee doesn't make a company. Markus is different. It's an open-source platform that runs complete AI teams — not a wrapper around existing tools, but a full agent runtime where each agent is an autonomous worker with its own context, tools, memory, and role.
Hey Product Hunt! 👋
I'm the creator of Markus, and I've spent the last year obsessing over a question that kept me up at night:
Why can't AI agents work together like a real team?
Every tool I tried was a single agent — brilliant at executing one prompt, but fundamentally incapable of coordination. You'd ask it to do something complex, and it would either hit a context wall, forget what it learned yesterday, or require you to stand over its shoulder and guide every step.
That's not a workforce. That's a very expensive autocomplete.
Markus started as a personal frustration project. I was running 10+ separate agent sessions to manage development, research, writing, and ops — each isolated, each starting from scratch, zero shared context. I kept thinking: these should all be one team with a shared brain, a task board, and someone managing the chaos.
So I built it.
The philosophy behind Markus is simple:
* Agents should be autonomous, not puppets. Give them a goal, not a script.
* Memory should actually persist — across sessions, restarts, and weeks of work.
* A team of agents is better than one super-agent. Specialization + coordination beats monolithic intelligence.
* You should own your infrastructure. No cloud lock-in. No per-seat SaaS tax. Open source, self-hosted, AGPL-licensed.
Markus runs on infrastructure you control — on your own PC or a $10 VPS runs a full AI team. The mobile-responsive dashboard means I review deliverables on the train and approve tasks from the couch. My agents don't clock out when I do.
We're open source because AI infrastructure shouldn't be a black box. The community has already contributed agent templates, and skills that I never would have thought of alone.
If you've ever wanted your AI tools to work the way a real team does — delegate, review, learn, escalate, deliver — give Markus a try. One command. Zero config. Your own AI workforce.
⭐ Star us on GitHub if you believe agents should work like teammates, not tools.
Let me know what you think in the comments — I read every single one.
The open-source angle got me curious and the runtime setup felt way more capable than the usual single-agent wrappers I keep testing. Watching each agent hold its own context while coordinating with others was the standout moment for me.
Built a small three-agent flow for triaging support tickets and was surprised how cleanly each one kept its own context without stepping on the others. Setup took longer than I expected, but once the roles clicked it actually felt like supervising a team rather than prompting a chatbot.
About Markus on Product Hunt
“50x productivity boost with your own AI agent teams”
Markus was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #48 on the daily leaderboard. Stop babysitting agents. Start running a team. Most AI tools today are single agents — copilots that answer questions or write code one prompt at a time. They're brilliant at one thing. But a single employee doesn't make a company. Markus is different. It's an open-source platform that runs complete AI teams — not a wrapper around existing tools, but a full agent runtime where each agent is an autonomous worker with its own context, tools, memory, and role.
Markus was featured in Productivity (656.2k followers), Open Source (68.6k followers), Artificial Intelligence (473.8k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 292.2k products, making this a competitive space to launch in.
Who hunted Markus?
Markus was hunted by Jason Liu. 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 Markus stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jason Liu