Launching today
Teamily AI
Your personal agent, agent teams & people in one messenger
364 followers
Your personal agent, agent teams & people in one messenger
364 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
Teamily AI has a great vision! Bringing humans and AI agents together as collaborative teammates, rather than treating AI as just another tool, is a very exciting direction. I look forward to seeing how this product evolves! 🚀
@yongqiang_zhou Thanks! We wanted agents to work where the team already talks things through. It’s nice to see that idea click with you.
Can I upload a long video and ask questions about one section?
@vilmos_marton yes. Please have a try.
@yinn1014 Thanks for your vote! AI should empower teams, not just individuals. We believe the future is humans and AI agents working, learning, and growing together. 🚀
I also share my vision here:
https://x.com/AidenChaoyangHe/status/2117613537929703708
what does a new teammate see when they join a group halfway through?
Our project context is always scattered between chat, docs, and task tools. Keeping it together would help.
@irving_ai Yeah, the task says what changed, but the reason is buried in a chat from two weeks ago. We built Teamily AI around the idea that when you tag an agent, you shouldn’t have to piece that story together for it every time.
The human approval flow will probably decide how comfortable teams feel using this.
@ibitekukie Yeah, if an agent drafts a client reply in the group chat, the team can read it and decide what actually goes out. I’d want that to feel as easy as asking a coworker, “Can you take a look before I send this?”
Keeping feedback attached to the exact draft would help in a shared chat. The next person joining the conversation needs to know which version everyone reviewed.
@oleksii_sekundant Yeah, otherwise the first thing you have to ask is “Wait, which draft are we talking about?” Keeping the comments with the version people actually reviewed would save a lot of scrolling.