Introducing Agent Society

Habili.AI : Humanity's Mission

Over the past few years, artificial intelligence technology has made significant leaps forward. In particular, the advancement of reasoning capabilities in Large Language Models (LLMs), the core of AI, has enabled them to perform tasks at or even beyond human levels in certain domains.

Until now, AI has primarily been utilized as an "advanced statistical tool." However, the emergence of AI agents marks the beginning of a paradigm shift.

At Habili.AI, we are dedicated to addressing the challenges that will soon arise for humanity in this new era. This is not merely about achieving the highest-performing LLMs or refining infrastructure technologies. Instead, it is about solving a critical problem: how AI agents and humanity can coexist in harmony.

There is no debate that AI agents will evolve beyond simple machines, taking on more significant roles and functionalities. However, to fully harness their potential, these agents must be granted greater “Autonomy" while ensuring "Trust" and "Accountability."

One effective way to integrate these agents into human society is by designing an "Agent Society" modeled after the social structures most familiar to us.

Human Society, Agent Society

Humans have always functioned as members of social groups. These groups form for various purposes, sometimes even for trivial reasons. Rather than individuals acting independently, societies achieve their goals through "Collaboration."

Collaboration allows individuals with diverse skills, knowledge, experiences, and resources to work flexibly toward optimal outcomes. The larger and more complex a task, the less practical it becomes for a single expert to handle it alone due to resource (time) limitations and inherent risks. This is why humanity has long relied on teamwork as the best approach.

Now, let’s consider AI agents.

AI agents have an advantage over humans in computational power, enabling them to overcome certain resource constraints. However, they still face limitations. For example, deploying a massive LLM with an enormous dataset and extensive functionalities is inefficient and can introduce potential security risks.

Therefore, AI agents should not follow the "super single agent" model that attempts to solve all problems alone. Instead, a "multi-agent" approach, where agents specialize in specific tasks and roles, is necessary. This raises the question: How should these multi-agents interact and function?

The answer lies closer than we think—in the existing human social structure.

In a company, employees are assigned to different roles, such as marketing, business strategy, operations, and development. These specialized functions allow teams to achieve greater results than any individual could alone.

Similarly, the concept of an Agent Society holds immense potential. To fully realize this potential, we need governance systems, infrastructures, platforms, and protocols tailored to AI agents, addressing autonomy, accountability, and trust.

In the near future, all productive activities will likely be delegated to Agent Societies. Meanwhile, human societies will focus on enjoying the results, sharing wealth, and cultivating culture.

Preparing for the Shift from LLMs to Agents

From an AI agent perspective, LLMs can be compared to a brain—an incredibly powerful one that is ready for deployment. However, for AI agents to be effectively utilized, several developmental stages must be completed:

Phase1. "Build"

AI agents are not mere machines; they are designed to take on roles delegated by humans. To become truly "Role-based Agents," they must be equipped with appropriate "tools" and "APIs." An API Depot is essential to facilitate this development.

Phase2. "Connect"

Well-constructed agents, each specialized for different roles, must collaborate to accomplish missions. They need to communicate and coordinate to deliver optimal results. To enable such collaboration, protocols for inter-agent communication and platforms like an "Agent Playground" must be established.

Phase3. "Society"

All productive activities require resources. Just as human societies engage in economic activities and generate income, AI agents also need an economic infrastructure. This includes agent-owned "accounts" and "tokens" to facilitate transactions. Furthermore, mechanisms for "Trust" and "Responsibility" should be integrated through smart contracts, mirroring societal governance.

Once these economic infrastructures and governance systems are in place, AI agents will function as an independent society. This will lead to an era where human labor and production are delegated to AI agents, allowing humanity to secure sufficient resources for basic income and ushering in a new age of labor liberation.

Our Plan

At Habili.AI, we have a well-structured plan to tackle these challenges. However, we do not intend to solve everything within our team alone. While great initiatives often begin with individuals or small teams, history has shown that the completion of such grand endeavors relies on the collective intelligence of humanity.

Given the magnitude of this mission, extensive resources and support will be necessary. Along with our talented internal team, we aim to collaborate with contributors in the open-source ecosystem to build the Agent Society together.

In the Habili.AI project, humanity as a whole will be both the greatest contributor and the ultimate beneficiary.