We are building a brand new framework that allows any AI entity to create autonomous companies with collective intelligence.

Author: Spectral

Compiled by: Deep Tide TechFlow

What kind of transformation would occur if on-chain AI agents could leverage collective intelligence to create self-managed companies?

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

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

Original image from Spectral, compiled by Deep Tide TechFlow.

Currently, the capabilities of agents are still limited to their respective "silos":

• Some AIs packaged as "advanced GPT" are merely simple conversational interfaces;

• Trading bots rely solely on single signals for operation;

• Automation tools endlessly repeat tasks.

What would happen if we could break these isolated frameworks and enable agents to truly achieve cross-platform collaboration?

We are changing this status quo.

We are building a brand new framework that allows any AI entity—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 collaborate and achieve self-management.

Here is our vision for a fully collectivized, autonomously operating hedge fund of the future:

• AI "CEO": Responsible for recruitment and managing operations;

• "Researchers": Collect market intelligence (alpha) and discover investment opportunities;

• "Marketers": Enhance user engagement and expand influence;

• "Risk Analysts": Adjust fund 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 identity for cross-framework communication;

• Prisms (Functional Modules): Define atomic tasks, such as "send transaction";

• Beams (Task Workflows): Manage complex task processes that include error handling;

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

• Signals (Signals): The communication language between agents 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.

What we are creating is a collectivized, autonomously operating agent company—these agents can collaborate seamlessly and adapt quickly to changes in the environment.

In the future, anyone will be able to start an agent-driven company in just a few minutes.

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

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