Launching today
Teamily AI
Your personal agent, agent teams & people in one messenger
947 followers
Your personal agent, agent teams & people in one messenger
947 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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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.
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!
@mi_leeli Yes, Drop the venue docs, links, and photos into the group, @ mention an agent, and it pulls everything into one plan: options, timeline, and a summary page you can share with everyone. The whole group can then review and tweak it together in the thread.
Can I upload a long video and ask questions about one section?
@vilmos_marton yes. Please have a try.
@vilmos_marton Yes, Vilmos! Drop a long video into the chat and ask about a specific part, for example, "What did they say about pricing around the 20-minute mark?" The agent answers in the thread, so your whole team sees it too.
so，can I see what context was used before an email gets drafted
@tomzoe You should be able to, and that's very much on my list. For now you can ask the agent what it's going off before it drafts, and have it wait for your OK before anything gets sent.
@tomzoe you can see the "thinking" of the agent to observe the entire process it used for doing the task ...
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.
The hardest part of AI teamwork is knowing what the agent already knows.
@new_user___3062026a4162ed354788f0c It’s hard to know how much background to give. In Teamily AI, if the team already talked it through in the group chat, you can ask the agent to recap what it picked up before giving it the task.
@new_user___3062026a4162ed354788f0c Totally agree, Linger. That's exactly the problem we set out to solve. In Teamily AI, memory is shared across the whole team, so everyone works from the same context. And agents don't wait to be asked: when something relevant comes up, they surface what they already know, like an earlier decision or a related file, right in the thread.
@hamza_afzal_butt Thanks! Teamily AI can connect context across groups, but I’d double-check what an agent can pull into a new group, especially if the two groups have different members.
@aidenchaoyanghe @hamza_afzal_butt In our product, you'll have your own personal agent, plus a teamily agent. They can both help you manage your context. If you bring a custom agent into a group chat, you can set its boundaries. That's entirely up to you.
Short version: a group's memory stays with that group, but an agent carries what it learned elsewhere! that second part is where im most careful, esp when the two groups have different people in them 🫡