Teamily AI

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.

I'm Xavier, Product Lead at Teamily AI. Teamily AI is the Human-Agent Platform: one shared space where your team and your AI agents work as one team brain. Think: your group chat, but your AI agents are teammates with memory. 🎁 It's free to start. For the PH community: 50% off your first month of Teamily AI Plus with code PHTEAMILY. Huge thanks to our hunter @rohanrecommends for hunting us 🙏 Create a group, invite your teammates, add as many agents as you need, and @ mention any of them. They see what you share, create real work, and keep going after you log off. Before Teamily AI, I was a product manager at Tencent, then founded an AI agent SaaS startup. Building agents for teams, I kept seeing the same problem: each agent was smart on its own, but none of them shared context with each other or with the people around them. Our founders bring the other half: @aidenchaoyanghe holds a USC PhD in distributed machine learning and previously worked at Tencent, and @salman_avestimehr1 is a USC professor and IEEE Fellow. We've spent years on how people connect, and how machines learn together. Here's the problem we kept running into. Every new AI tool made each of us faster, and our teams more scattered. Someone drops a link in the group chat, three people ask "wait, what's the context?", and one person becomes the copy-paste layer between five AI tools. We have smarter individuals, but scattered teams. So we built Teamily AI to put people and agents in the same room: 🎨 Understand anything. Photos, videos, links, and docs dropped into the chat. 🛠️ Create real work. Websites, slide decks, videos, and dashboards, right in the thread. 🤝 Work as a team. Multiple agents split a task, hand off, and push back on each other, while you steer. 🧠 Share one living memory. It carries across groups, sessions, and agents. A new teammate @ mentions an agent and gets the full story of last month's pricing decision. 🔌 Act in your apps, always on. Connect Gmail, WhatsApp, GitHub, and X. Agents send, post, and follow up while you sleep. 📈 Get better with your team. Each agent has its own identity and persona, and learns your tone, terms, and standards over time. We call this Group Intelligence: humans and agents getting smarter together. Our goal is to give every person and every team their own AI teammates that grow with them. It's still early, and there are rough edges. That's exactly why we're here. I'll be in the comments all day. Which group chat would you drop an AI agent into first?

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. 💚

Congrats for the launch! Teamily is most interesting when the agents act on the discussion instead of only summarizing it.