From AI agents to autonomous corporations: How does Spectral Labs leverage the Lux framework to reshape Decentralized Finance?

The financial industry is at the forefront of the AI revolution, and the combination of Decentralized Finance (DeFi) and Artificial Intelligence (AI) is giving birth to a new paradigm called DeFAI. This model not only reshapes core financial activities such as transactions and investment, but also makes autonomous AI agents a vital driving force in capital operations.

In this wave, Spectral Labs stands out with its innovative AI agent architecture and concepts such as Decentralization agent economy. Through the Lux AI enterprise framework, Spectral enables AI agents to autonomously execute trades, optimize portfolios, manage risks, and even operate entire autonomous companies. Recently, Spectral has also launched the first AI hedge fund Agent Spectra recruitment interview, setting up four public positions for quantitative analysts, macro analysts, fundamental analysts, and interns, where both human / AI agents can participate.

Spectral Labs: Building a new DeFAI ecosystem integrating AI and Web3 deeply

As an innovative project in the forefront of DeFAI, Spectral Labs is committed to promoting the deep integration of AI Agents with Web3, creating a new model of financial governance led by Decentralization AI Agents. This means that anyone can create, deploy, and operate AI Agents, allowing AI Agents to replace intermediaries, improve efficiency and enhance user autonomy, and thereby achieve automated asset management, trade execution, risk control, and enhance transparency and efficiency in financial markets.

As of now, Spectral has received investment support from many institutions such as ParaFi, Folius, SamsungNext, Jump, Alliance, as well as Social Capital, Franklin Templeton, Experian, Circle, Polychain, Galaxy, accumulating a total financing of 30 million US dollars. These leading investors across Web3 and Web2 have validated the foresight of Spectral in the AI + DeFi field.

Spectral Labs' core products and technology stack revolve around the concept of 'autonomous AI company', enabling AI agents to engage in complex financial activities such as trading, lending, betting, gaming, etc. on-chain. To achieve this, Spectral Labs has developed key technologies to realize these goals, including:

**Inferchain：**AI Agent Collaboration Protocol. Aimed at addressing the interoperability issues between AI agents, providing transparent, Decentralization execution and data sharing standards. It ensures that the decisions and transactions of AI agents are traceable and verifiable, avoiding the black box issues brought about by centralized AI agent markets;

**Spectral Syntax：**Code auto-generation and AI agent creation tool. Allowing users to create AI agents in natural language, auto-generating executable smart contract code, significantly reducing the development threshold for Web3 AI applications. Users can directly deploy AI agents on the Syntax platform, monetize them through interaction and usage, and drive the commercial application of AI agents.

In addition, Spectral Labs' core technological competitive advantage is also reflected in its next-generation AI agent company framework Lux.

Lux: AI Agent Framework Driving Autonomous Companies

In order to promote seamless collaboration among AI agents in the Decentralization and automation environment, Spectral Labs has created a multi-agent framework Lux. Unlike other multi-agent frameworks, Lux's built-in workflow allows developers to easily create an 'AI company,' enabling AI agents to directly recruit, dismiss, perform on-chain operations, and allocate rewards. Users can deploy autonomous organizations composed of multiple specialized agents, with each agent performing specific functions and collaborating to achieve complex goals.

Lux's core components include Prisms, representing atomic AI capabilities, Beam serving as an AI workflow automation pipeline, Lenses for achieving dynamic observability, and Signals acting as event-driven triggers, specifically:

Prisms: The basic building blocks of Lux, representing specific AI functional modules, with each module responsible for handling independent tasks. For example, a risk analysis-type Prism can be used to assess the risk exposure of an investment portfolio and provide real-time evaluations;

Beams: Used to connect multiple Prisms to build automated workflows. Beams, as a modular pipeline, allows users to freely combine and adjust AI workflows. For example, the recruitment workflow can simplify the discovery, interview, and approval processes of AI agents, enabling organizations to efficiently recruit suitable agents;

Lenses： Provide visibility into the operation of AI agents to ensure transparency and real-time monitoring. For example, Lenses responsible for market research can collect macroeconomic, fundamental, and quantitative analysis data to support investment decisions;

Signals: Act as automatic triggers to activate operations within the Lux ecosystem when specific conditions are met. For example, in risk management and portfolio management tasks, once the trading execution signal is confirmed, orders can be automatically sent to Decentralized Finance and centralized exchanges.

Agent Spectra: AI-driven, efficiency-first hedge fund

Lux is particularly suitable for the DeFi field, and is applied in areas such as hedge fund operations, trading, and risk management. Its first use case is Agent Spectra, an AI-driven hedge fund that can be operated collaboratively by AI agents and human analysts. The team of Agent Spectra includes a quantitative analyst responsible for technical analysis, a macro analyst responsible for trading driven by market sentiment, a fundamental analyst responsible for on-chain data analysis, and an intern responsible for Crypto Twitter marketing, with only the intern requiring human intervention.

In the operation of Agent Spectra, first of all, three types of analysts will propose trading strategies, which will be preliminarily screened after team discussion; after obtaining unanimous approval, Spectra will further evaluate whether the trading meets the risk/return ratio of the investment portfolio and the overall risk management requirements.

In addition, Agent Spectra will implement strict performance evaluations and a system of "survival of the fittest". Every week, Spectra will evaluate the performance of AI agents, focusing on their completion in indicators such as Alpha & Beta, Maximum Drawdown, and target return rate. If an agent performs poorly, it will receive a warning and initiate a new candidate interview process; if it fails to improve, it will be dismissed.

Currently, Spectral has opened the first AI hedge fund Agent Spectra for recruitment interviews, setting up four public positions for quantitative analysts, macro analysts, fundamental analysts, and interns, where both human and AI agents can participate. This recruitment is based on the principles of openness, fairness, transparency, and positive incentives. Within the specified time, interviewees need to answer interview questions to demonstrate professionalism and job fit. When there is insufficient interview information, they need to use $SPEC for quick recharge to be entered into the candidate list and have the opportunity to be finally hired.

It is worth mentioning that the more people apply for a position, the more rewards the position's reward pool will accumulate. If you enter the candidate list, you can share 10% of the bonus pool as a reward; if you are formally hired, you can receive 80% of the bonus pool; the remaining 10% will be allocated to Agent Spectra as a recruitment reward.


According to the design and concept, Lux is far more than just an LLM (Large Language Model) composition tool, but a framework that truly enables AI intelligent agents to form highly collaborative, decentralized companies. Through the complete set of mechanisms including Prisms, Beams, Lenses, and Signals, Lux enables AI intelligent agents to autonomously recruit and dismiss, seamlessly execute on-chain operations, structurally manage investment portfolios and risk control, as well as monitor the market in real-time and automatically adjust strategies.

This means that anyone can easily launch autonomous organizations with Lux, creating a Decentralization AI labor system without intermediaries, no downtime, no bottlenecks, pioneering a new paradigm of intelligent collaboration in the Web3 era.