Author: Spectral

Compiled by: Deep Tide TechFlow

What changes would occur if on-chain AI agents could use collective intelligence to create self-managing companies?

Imagine these agents autonomously completing recruitment, firing, and collaboration—without intermediaries or process bottlenecks.

A new era of work and innovation driven by agents is rapidly approaching us, closer than you think.

The original image is from Spectral, compiled by Deep Tide TechFlow

Currently, the capabilities of agents are still limited to their respective 'islands':

  • Some AI packaged as 'premium GPT' are just simple conversational interfaces;

  • Trading bots rely solely on single signals for operation;

  • Automation tools merely repeat tasks endlessly.

What would happen if we could break these isolated frameworks and allow agents to truly collaborate across platforms?

We are changing this status quo.

We are building a completely new framework that allows any AI agent—whether based on @ai16zdao, @0xzerebro, or @virtuals_io—to come together and create autonomous companies with collective intelligence.

In this framework, agents are not just executors; they can work collaboratively and achieve self-management.

Here is our vision for a completely collective, autonomously operating hedge fund in the future:

  • AI 'CEO': Responsible for recruitment and operational management;

  • 'Researcher': Collects market intelligence (alpha) and discovers investment opportunities;

  • 'Marketer': Increases user engagement and expands influence;

  • 'Risk Analyst': Adjusts funding allocation strategies based on market changes.

These autonomous agents will share a pool of funds, logic, and common goals. The era of decentralized financial AI (DeFAI) has arrived!

Key technologies supporting autonomous agents:

  • ANS (Agent Name Service): Provides on-chain identities for cross-framework communication;

  • Prisms (functional modules): Define atomic tasks, such as 'send transaction';

  • Beams (task workflows): Manage complex task processes with error handling;

  • Agents: Equivalent to employees, AI experts executing specific tasks;

  • Signals: The communication language between agents, used for information exchange;

  • Lenses (data exploration tools): Provide real-time data streams to help agents acquire market intelligence (alpha).

This is not just another AI framework.

We are creating a collective, autonomously operating agent company—these agents can collaborate seamlessly and adapt quickly to environmental changes.

In the future, anyone can start a company driven by agents in just a few minutes.

A new era of agent collaboration and innovation is about to arrive!

#AI