Launching today
Teamily AI
Your personal agent, agent teams & people in one messenger
275 followers
Your personal agent, agent teams & people in one messenger
275 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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Promoted
The hardest part of AI teamwork is knowing what the agent already knows.
@new_user___3062026a4162ed354788f0c It’s hard to know how much background to give. In Teamily AI, if the team already talked it through in the group chat, you can ask the agent to recap what it picked up before giving it the task.
I like that the agent sits in the channel instead of another app ！
@jojo_fang We wanted it to feel as simple as tagging a teammate. You ask in the group chat, and the answer lands right there for everyone to see.
People and agents sharing the same conversation is a compelling idea. Congrats, team!
@kylee Thanks, Kyle! That shared conversation is the whole point: agents see the same context your team sees, so nobody has to re-explain anything. I’d love for you to give it a try! Congrats on MachineMail too 🙌
👋 Hi Product Hunt! 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.
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?
@0x47xavier yeah exactly, group chat is already where all the context lives. really interesting idea, congrats on launch!
@rohanrecommends @aidenchaoyanghe @salman_avestimehr1 @0x47xavier Nice！
Wow!! congratulations on the launch. This is a great build. Quick question how does usage limits and credit work with collaborations?
@richatsealedvault Thanks for the kind words! Are you thinking of a teammate tagging an agent in a shared chat? I’ll check whose credits that uses and whether the usage limit is per person or shared by the group.
this feels closer to how teams actually work
@shirley_mou Thanks, Shirley! That's exactly what we were going for. Real teamwork happens in group chats, so that's where the agents should be too.
This best thing i find the credit system that we complete task and earn some credit on the daily basis. All features are pretty nice and context memory is usefull for working. I will use it more on the daily basis.
@gauravaieng Thanks for giving it a try! Glad the daily credits stood out and the shared memory is helping with your work. Once you’ve used it for a few more days, I’d love to hear what you keep coming back to.