I wonder if everyone has noticed‼️

@KaitoAI has a total of 9 projects related to the AI sector.

Currently, there are so many AI projects. Honestly, 90% of them give the same impression after reading:
Rebrand, tell a story, add a token.

The likely result of just talking about it is
(being countered)

But @Kindred_AI is a bit different—
It’s not about “making an AI,” but about creating “a group of AI that can work independently.”

Many projects talk about Agents, but essentially they are just tools—you click once, it acts; you don’t click, it just stays idle.
#Kindred’s approach is more like: treating AI as a “digital employee” that can collaborate long-term.

It has only one standout point, but it’s this point that truly sets it apart from other projects:
👉 Multiple Agents have real division of labor, memory, and can coordinate with each other, not just decorative.

Simply put:
Other AI projects are “one person working alone,”
While Kindred is more like “a small team working together.”

You give it a goal, and it’s not just handing it off to a model to finish and calling it a day. Instead, it breaks down tasks, communicates with each other, makes repeated adjustments, and finally gets the job done. Once you experience this, you’ll understand—it’s not something you can see just from a PPT.

More importantly, Kindred doesn’t focus on “how smart it is,” but on **“whether it can keep completing tasks continuously.”**
This makes a huge difference in practical use, especially for complex and long-term tasks. Other Agents often go offline midway, forget things, or go off track. Kindred’s stability is clearly at a higher level.

So I prefer to describe it with one sentence:
Kindred isn’t about showing how powerful AI is, but about solving the question of “can AI really do the work for you.”

In this stage where AI projects are crowded and highly homogeneous,
being able to make “collaboration” practical and sustainable makes Kindred itself already quite rare.