Launching today
Teamily AI
Your personal agent, agent teams & people in one messenger
228 followers
Your personal agent, agent teams & people in one messenger
228 followers
The human-agent platform where people and always-on agents get work done together in one unified, context-aware space. Unlike single-user personal agents, Teamily AI enables multi-user, multi-agent teamwork. Built on an AI-native messenger, it connects people, agents, docs, meetings, calls, workflows, and business systems to automate office work and customer service. Agents become real teammates with persistent memory, proactive intelligence, and continuous self-improvement. Free to get started.
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Launch Team / Built With
Framer AI AgentsDesign and publish professional sites with AI
Promoted
👋 Hi Product Hunt! I'm Salman Avestimehr, Co-founder of Teamily AI and Professor at USC. Excited to introduce Teamily AI to this community! 🚀
Having spent years researching collaborative and distributed AI, I've become increasingly convinced that the next major breakthrough in AI won't simply come from making individual models smarter. It will come from enabling humans and AI agents to think, collaborate, and continuously learn together.
Today, AI is largely built around one person interacting with one agent at a time. But real world intelligence, creativity, and productivity emerge through teamwork, where people share knowledge, build on each other's ideas, and solve problems together.
That's the fundamental shift we're pursuing at Teamily AI: moving from individual intelligence to collective human-agent intelligence.
We're building the foundations for this future through shared context, persistent memory, multi-agent collaboration, and continuous learning, all brought together in an AI-native messenger where humans and agents work as one team.
I believe this will fundamentally change not only how we work, but also how we create, discover, and innovate.
Would love to hear from the Product Hunt community: What becomes possible when AI is no longer just your personal assistant, but a true teammate?
@salman_avestimehr1 nice！
Congrats for the launch! Teamily is most interesting when the agents act on the discussion instead of only summarizing it.
@brattyaiguy Thanks, RI-Chie, totally agree! Our agents split a task, build things in parallel, and hand results back to the group while you steer. What would you want an agent to take on first?
👋 Hi Product Hunt! I'm Roxie, Head of Design at Teamily AI.
Really excited to finally share this one. I've always worked where design meets the future, and I've never seen a moment that needs it more. ✨
Every new medium gets designed twice. First by accident, wearing the shape of whatever came before. Then on purpose. Agents are still in round one: mostly one bot talking to one person, a shape borrowed from the last era.
Teamily AI is our shot at round two. People and agents work in the same room, with the same memory. It's also the first step toward what Aiden calls the agentic internet, and that's the part that hooked me.
That asks a lot more of design than nice screens. When should an agent speak up, and when should it stay quiet? What should it remember, and who gets to see it? Those answers shouldn't be buried in a settings page. They belong in every moment of the experience. Honestly, I can't imagine more exciting work for a designer right now.
In my second year here, I worked with our founders to build our identity from scratch, and I've been shaping the story and the experience ever since. We've rebuilt it several times, fast, and we're not done yet. 🚀
Plenty is still open. How proactive is too proactive in a group of ten? Who owns a memory two teams made together? 🙂
Huge thanks to our co-founders, @aidenchaoyanghe and @salman_avestimehr1 , and to the whole team. 🙏
If you try Teamily AI today, tell me what feels like the future and what still feels like just another chatbot. Both are gold. 💚
@aidenchaoyanghe @salman_avestimehr1 @roxie_ren go to it！
We lose decisions in long threads all the time. does the memory surface them later?
@romy_chou You can come back to the chat a week later and ask an agent, “Did we settle on Friday or is that still up in the air?” It can use the earlier discussion to help you pick up where the team left off.
nice, no need to move the whole conversation somewhere else
@quinnxie Exactly, Quinn! Drop in a photo, link, or doc, @ mention an agent, and it turns the conversation into a site, slide deck, or dashboard right in the thread. Congrats on Moli too 🙌
This might work well for an agency managing feedback from several people.
@libin_yao Yeah, especially when three people give feedback on the same draft and you’re trying to figure out what to change. In Teamily AI, you can tag an agent in the chat and ask it to pull out where everyone agrees and what’s still up for debate.
The group chat format makes agent work easier for the whole team to see.
@domenic_yang Yeah, if someone tags an agent in the group chat, everyone can see what they asked and what came back. Saves someone from having to paste the answer into the chat later.