Launching today
Teamily AI
Your personal agent, agent teams & people in one messenger
680 followers
Your personal agent, agent teams & people in one messenger
680 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
two agents finish the same chat. does each one post its own message?
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.
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.
Getting a finished research task back in the group thread sounds handy. Everyone can see the result and ask questions together. Nice work!
@marianna_tymchuk right, many of our enterprise customers teach each other the usage of AI in the way you described.