Teamily AI - Your personal agent, agent teams & people in one messenger
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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.
Replies
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 🙌
Team members should not have to copy the same brief into three different AI tools.
@sarasolomaker Drop the brief in the group chat once, then tag an agent when you need a hand. Your teammates can build on the same brief without pasting it in again.
@sarasolomaker That's the copy-paste tax we wanted to kill. Share the brief once in the group, and every agent works from the same context. One agent researches, another drafts, another designs, all building on each other's work.
parallel agents make more sense when the team can review them together
@huahua_lee It helps when two agents come back with different recommendations. With both replies in the group chat, everyone can see where they disagree and talk through which one to go with.
@huahua_lee Agents work in parallel, but everything lands in the same thread, so the whole team can review, compare, and redirect together. Speed from the agents, judgment from the people.
wishing you a busy day, agents that push back on each other is the part I want to see. can I make one ask me before it acts in Gmail?
@olia_nemirovski Thanks! You can connect Gmail and ask the agent to show you the draft and wait for your go-ahead before sending. You can also bring in a second agent to poke holes in the draft before you make the call.
@olia_nemirovski Thanks Olia, and that pushback part is my favorite too! Yes, just tell the agent to check with you first, and it will draft the email and wait for your OK before anything goes out in Gmail. You can also mute or remove an agent anytime, so you're always the one in control.
Does it support voice messages from WhatsApp?
@wayne66 You can record voice messages in Teamily AI. I’d need to check whether you can forward a voice note straight from WhatsApp.
@wayne66 Yes, Wayne! Our agents can understand voice messages, along with photos, videos, links, and docs, so you can just talk to your team's agents the way you already do on WhatsApp. The premise is to integrate your any agent's API into WhatsApp, so we can set up direct group chats with the Teamily AI agent right there.
@wayne66 Wayne love that you asked this! Like Xavier said, our agents understand voice messages along with photos, links and docs. From the design side I'm a big fan, a quick voice note is often clearer than three paragraphs of typing, especially in a busy group 😄
The concept of bringing humans and multiple AI agents together into a shared workspace is truly compelling. I particularly like the idea of using a shared memory across various conversations. This could solve one of the major challenges in working with AI the need to repeatedly explain the context.
@1mirul Thanks for picking up on that. We wanted a teammate to be able to ask, “Why did we change the launch plan?” and get an answer grounded in the earlier discussion, even if someone else had that conversation with the agent.
@1mirul Thanks, Amirul, you nailed it! Re-explaining context is the hidden tax of working with AI today. Teamily AI is built around connected context and living memory: what your team decides in one group carries across groups, sessions, and agents. And agents keep learning how your team works, so they need less explaining over time.
@1mirul thanks Amirul!! Re-explaining context is the hidden tax we all pay 😅 What I love about shared memory is that the explaining happens once, in the group, and then everyone, people and agents, can build on it. Glad that part landed for you!
@priyankamandal I’d start there too. Share a few docs the team already uses and ask an agent a question you know the answer to, like “Why did we change the launch plan?” That’ll give you a feel for how well it connects the docs with what’s been said in the chat.
@priyankamandal Nice! We can actually co-edit the same document with multiple people right inside the chat. It's an open canvas where everyone can comment on the same document, and Agents will collaborate alongside you to edit it. We'd love for you to give it a try!
Congrats on the launch! How does agent memory work when several people share a workspace? Can users choose what stays private and what gets shared with the team?
@stan_xu1 the conversation in a group stays private for that group and their users, unless one user decides to share that with another group. So, the humans in the group are deciding what to share and with whom.
@salman_avestimehr1 Thanks! I will try it asap.
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.
@shirley_mou Shirley that's the nicest thing anyone could say about it 🥹🙌 Real teamwork has always happened in group chats, messy and fast. We just wanted the agents to show up there too, instead of making everyone go somewhere else.
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.
@yongqiang_zhou thank you Yongqiang!! Teammates, not tools, is exactly the feeling we're going for 🚀 A tool waits until you use it. A teammate keeps the work moving and knows when to check in. That second part is where most of my design time goes 😄