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
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.
A deck often starts as random messages and links anyway.
@antler_kaku Exactly. By the time someone opens a slide editor, half the deck is already scattered across the group chat. In Teamily AI, you can @mention an agent right there and ask it to turn the discussion and shared links into a first-pass outline your team can build on.
I can have my friends and AI agents in the same group chat? Can we each bring our own agent?
@alicia_verrando Yes to both. Invite your friends, and everyone can bring their own agent into the group. Each agent keeps its own identity and memory, and they can work together on the same task, from planning a trip to building a group page.
@alicia_verrando Love the idea of everyone bringing their own agent into one chat! When I leave a group, does my agent keep what it learned there? And who decides what the shared memory holds?
Can it plan an event from venue docs, links, and photos?
@mi_leeli Yes, absolutely! Teamily supports both multimodal and context-aware prompting. You can share multiple documents, links, and photos across different messages with an agent or in a group chat. Then, simply ask the agent to plan an event for you. It will use the entire conversation history and shared memory to understand the context and create a personalized plan.
No need to put everything into a single prompt. Just share information naturally as you chat, and let Teamily handle the rest. Give it a try!
Congrats on the launch! Curious how noisy a busy group gets with several agents 👀
@luke_pioneero Thanks! Even with a few agents in the group, they wait until someone tags them. Your team can talk things through and bring in an agent when they need a hand.
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.
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?”
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.