Launching today
Teamily AI
Your personal agent, agent teams & people in one messenger
889 followers
Your personal agent, agent teams & people in one messenger
889 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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@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.
the shared context is what caught my eye
@anwar_uddin1 One place it helps is when you revisit a decision a week later. You can ask an agent right in the group chat, “Why did we go with this version?” and it can draw on the conversation your team already had.
@anwar_uddin1 Thanks Anwar! Shared context is the core of it. Memory carries across groups and sessions, so a new teammate can @mention an agent and catch up on weeks of decisions in seconds. I'd love for you to give it a try!
How does it handle ideas coming from a WhatsApp community?
@jackruirui You can paste a few messages from the WhatsApp group into Teamily AI and tag an agent with something like, “What ideas keep coming up here?” Then your team can talk through what’s worth trying in the same chat.
@jackruirui Great question, Jack! Teamily AI connects with WhatsApp, and you can bring ideas from your community into a team group. From there, agents sort them, spot recurring themes, and turn the best ones into a plan your team reviews together.
what does a new teammate see when they join a group halfway through?
@charlotte28 I’d need to check how far back the chat goes for someone who just joined. You can give them a quick starting point by asking an agent to recap what the team decided and what’s still open, then sharing that in the group.
@charlotte28 Great question, charlotte! A new teammate can @mention an agent and ask "what did we decide and why?", and it walks them through the key decisions from before they joined. As the conversation continues, the agent also brings up relevant past decisions on its own, so they catch up naturally. No 40-minute handoff call needed.
two agents finish the same chat. does each one post its own message?
@mostafahosseini If you tag them separately in the same chat, each agent posts its own reply there. Everyone in the group can see both.
@mostafahosseini Yes, Mostafa! Each agent is a real member of the group with its own identity, so each one posts its own message, and you always know who did what. They can also build on each other's results; for example, one agent researching and another turning it into a draft, while the team steers.
what happens if two people @ mention different agents on the same message?
@wys1010 Both agents can work from the same message. Say you tag one to turn it into a draft and a teammate tags another to spot what’s missing. Both replies land in the group chat, where everyone can read them.
@wys1010 Great question! Both agents pick up their own requests and work in parallel, and both results land in the same thread. Since they share the group's context, they can also see each other's work and build on it, while the people in the group decide what to keep.
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?
@alicia_verrando @denise_louis At this stage, we follow the same approach as traditional human-only messaging platforms: if you join a group, participate in conversations, and later leave, your messages remain in the group's chat history. However, if you own an AI agent in the group, you retain control over its memory and can manage it as the agent's owner.