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Product Hunt Teamily AI

Your personal agent, agent teams & people in one messenger

264
Traction Score
127
Discussions
Nov 3, 2026
Launch Date
View Origin Link

Product Positioning & Context

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.
Productivity Artificial Intelligence Social Networking

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Teamily AI?
Teamily AI is a digital product or tool described as: Your personal agent, agent teams & people in one messenger
Where did Teamily AI originate?
Data for Teamily AI was aggregated directly from the Product Hunt community ecosystem, providing a stored public-discussion sample, not a representative customer survey.
When was Teamily AI publicly launched?
The initial public indexing or launch date for Teamily AI within our tracked developer communities was recorded on November 3, 2026.
How popular is Teamily AI?
Teamily AI has recorded public engagement of 264 traction score and facilitating 127 recorded discussions or engagements.
Which technical categories define Teamily AI?
Based on metadata extraction, Teamily AI is categorized under topics such as: Productivity, Artificial Intelligence, Social Networking.
What are some commercial alternatives to Teamily AI?
Text similarity retrieved a product for further investigation: Wanaka Studio. Functional substitutability has not been verified.
How does the creator describe Teamily AI?
The original author or development team describes the product as follows: "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..."

Community Voice & Feedback

[Redacted] • Nov 4, 2026
Interesting. I would start with a group that already has a lot of shared docs.
[Redacted] • Nov 4, 2026
The idea of bringing humans and multiple AI agents into one shared workspace is really interesting. I especially like the concept of shared memory across conversations. It could solve one of the biggest problems with AI collaboration. constantly having to repeat context. Great direction!
[Redacted] • Nov 3, 2026
two agents finish the same chat. does each one post its own message?
[Redacted] • Nov 3, 2026
I like the idea of seeing the work happen where the request started 👍
[Redacted] • Nov 3, 2026
How much memory carries from one group to another?

Congrats @aidenchaoyanghe
[Redacted] • Nov 3, 2026
Does the agent keep working if everyone closes the app?
[Redacted] • Nov 3, 2026
the first place I would try this is a messy planning group😼
[Redacted] • Nov 3, 2026
Congrats! Roxie's question about how proactive an agent should be in a group of ten got me thinking. What happens when two people give it conflicting instructions? Does it decide, or ask the group?
[Redacted] • Nov 3, 2026
Great job team! May I ask how are permissions handled for Gmail and X actions?
[Redacted] • Nov 3, 2026
Does it support voice messages from WhatsApp?
[Redacted] • Nov 3, 2026
Wow!! congratulations on the launch. This is a great build. Quick question how does usage limits and credit work with collaborations?
[Redacted] • Nov 3, 2026
Congrats on the launch! Curious how noisy a busy group gets with several agents 👀
[Redacted] • Nov 3, 2026
Sounds interesting. Are you going to ship mobile apps too?
[Redacted] • Nov 3, 2026
The hardest part of AI teamwork is knowing what the agent already knows.
[Redacted] • Nov 3, 2026
Can it plan an event from venue docs, links, and photos?

Discovery Source

Product Hunt Product Hunt

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

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Deep Research & Science

No direct peer-reviewed scientific literature matched with this product's architecture.