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Under the trend of multi-agent collaboration: Modular AI framework Lux brings a new paradigm for DeFAI products?

Lux, a modular multi-agent collaboration framework launched by Spectral, is unleashing energy in many fields such as DeFAI, DAO governance, and digital marketing, paving the way for the widespread application of AI Agents.

Written by: Deep Trend TechFlow

Recently, the encryption market has fluctuated violently, and AI Agents have also been affected.

However, the brief cold weather has not affected market confidence. Many people still firmly believe that AI Agents are still the main narrative in 2025.

From ai16z founder Shaw publicly expressed his optimism about the concept of Swarm, to the recent launch of Virtuals ‘new protocol ACP that emphasizes the exchange of needs between AI Agents, it is not difficult to see that the next opportunity for AI Agents has focused on “collaboration.”

Initially, AI Agents focused on imitating human dialogue and communication and the ability to perform tasks independently. Today, AI Agents are undergoing a paradigm shift from “working alone” to “solving more complex practical problems through collaboration.” Based on this, the Swarm concept of aggregation Multiple AI Agents with different functions has emerged to achieve commercial autonomy. At the same time, it aims to introduce a standardized interaction framework to solve AI Agent collaboration problems. The importance of becoming an AI framework for iOS / Android, the operating system in the AI Agent field, has become increasingly prominent.

It can be said that the AI Agent craze continues. As an AI Agent infrastructure, the market will inevitably have a place for the AI framework.

Now, after the four major frameworks Eliza ($AI16Z), GAME ($VIRTUAL), Rig ($ARC) and ZerePy ($ZEREBRO) have become Beta targets for AI framework tracks, gold diggers are beginning to look to those with more innovative designs and greater growth potential. The Alpha project is emerging. Among them,Machine Intelligence Network Spectral’s latest modular multi-agent collaboration framework Lux has attracted widespread attention.

Users who follow the AI + Crypto track must be familiar with Spectral:

As an AI track project that has received a total of US$30 million in financing, Spectral Labs previously launched SYNTAX V2 on November 28.It is designed to help even users with zero-code bases use SYNTAX AgentBuilder to build AI Agents and publish Meme in a few minutes through dialogue. Once launched, it attracted high discussion in the community. The eco-token SPEC increased by 48.4% in 24 hours. It is regarded as the next AI Meme hit maker to succeed Virtuals.

As 2025 kicks off, Spectral is at the forefront of the transformation of Swarm AI. What is the uniqueness of its new product Lux framework compared with other AI frameworks?

This article aims to find out.

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Focus on efficient collaboration, first experience of Lux functions in the modular AI framework

Before entering the specific design of the Spectral Lux framework, let’s first understand the basic concepts of the AI framework and clarify the market necessity behind Spectral’s launch of the Lux framework.

As the underlying development platform, many people compare the AI framework to iOS / Android, the operating system in the AI field:

Simply put, the AI framework is an underlying development platform that integrates pre-built modules, libraries and tools. Many people compare the AI framework to the operating system iOS / Android in the AI field:

On the one hand, the AI framework integrates pre-built modules, libraries and tools, which can greatly simplify the construction process of complex AI models and reduce development thresholds;

On the other hand, the AI framework is based on the “unity” achieved by the standardized development environment and tool chains, and further complements how to communicate between various AI Agents, how to establish a unified data exchange protocol, and how to build verifiable computing verification mechanisms. The lack of issues such as mechanisms is an important prerequisite for AI Agents to collaborate with each other, build more complex interactive logic, achieve more powerful functions, and create a deeper ecosystem.

This low threshold, standardization and collaborative advantage together contributes to a huge imagination space for building a richer ecosystem based on AI frameworks, and also makes AI frameworks have a higher development ceiling compared with single AI Agent projects.

As an important layout to realize “Swarm AI”, Spectral launched a modular multi-agent collaboration framework Lux, which consists of four important modules:

  • Prisms: Basic Functional Units

As an atomic building block in the Lux framework, Prisms provides basic functional units for the Lux framework. Each Prism focuses on a single function. For example, RiskAnalysisPrism can evaluate the risks of financial positions in real time.

Another major feature of Prisms is the strong composability brought by its modular design. Each Prisms is like an AI building block that can be reused and combined.

At the same time, by optimizing algorithms and hardware acceleration, the efficiency and accuracy of Prisms task execution are further ensured.

As more and more Prisms with different functions are created, developers do not have to write code from scratch, but can directly use pre-built modules to quickly build and deploy AI for specific tasks, greatly reducing development thresholds, saving development costs, and shortening development cycles.

  • Beams: Workflow choreography

Beams aims to connect multiple Prisms together to form a collaborative work process to better realize complex logic such as condition judgment and circulation. For example, Hiring WorkflowBeam connects multiple Prisms to automate recruitment, interview, approval and dismissal processes.

This connection is simple, and through intuitive process design tools, developers can easily orchestrate their workflow, further lowering the development threshold.

In this way, developers can easily build complex workflows and combine multiple Prisms into a complete solution to meet diverse business needs and improve the flexibility and scalability of the system.

  • Lenses: External data access

Lenses aims to help AI Agents obtain external data and simplify the data processing process by converting data from different sources into a unified format. In addition, by optimizing the query mechanism, the real-time and accuracy of data acquisition are ensured. For example, MarketLens can provide real-time market data without requiring developers to crack the API.

The Lenses component provides a rich external data source for the AI system. The Lux framework incorporates real data as a criterion in the collaboration process to further improve accuracy and bring a better experience.

  • Signals: On-chain communication and data verification

Signals is an important foundation for efficient collaboration among various AI Agents: on the one hand, Signals provides structured data access and verification mechanisms to ensure the integrity and trustworthiness of data; on the other hand, Signals ensures communication and data security through encryption technology and rights management.

In this way, Signals provides AI systems with on-chain communication capabilities, supports cross-platform and cross-system data interactions, while ensuring the credibility and security of data.

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While implementing functionality, the Lux framework also focuses on improving efficiency:

Through optimization of memory and concurrency, the Lux framework supports the efficient operation of complex workflows and enables real-time response and automated execution between AI Agents. This efficiency not only reduces intermediate links and bottlenecks, but also enables timely judgment and adjustment in the face of rapidly changing markets to bring a better experience.

More importantly, by introducing on-chain integration and incentive mechanisms, the Lux ecosystem is further deeply bound to user rights and interests, bringing a more sustainable ecological development model:

Lux supports upgraded on-chain pledge and distribution contracts, which can provide users with pledge rewards and creator benefits, and encourage the ecosystem to actively participate in contributions. In addition, through Lux, users can directly complete transactions, risk monitoring and revenue distribution operations on the chain, further Improve participation efficiency and transparency.

As mentioned above: The low threshold, standardization and collaborative advantages of the AI framework lead to richer ecological ideas.

After understanding the sophisticated design and many advantages of the Lux framework, based on the strong collaboration capabilities brought by this sophisticated AI framework, what practical application scenarios will Lux bring transformative breakthroughs?

Creating the DeFAI paradigm: Hedge fund Agent Spectra recruitment is underway

Since the beginning of the year, the market has shown great FOMO sentiment towards framework AI projects: as the market value of Eliza ($AI16Z) exceeds US$2 billion, major framework projects have emerged one after another, and the AI landscape of multi-framework and multi-ecological competition has also been further staged.

When multiple competitors emerge, market segmentation becomes one of the options to break the game. This is also applicable to AI frameworks: different frameworks focus on specific scenarios and each give full play to its strengths to better meet the diversification. Market demand.

We can also see that among the currently active AI frameworks: GAME ($VIRTUAL): mainly focuses on games and the metaverse;ZerePy ($ZEREBRO): mainly focuses on creative output and social media automation;Rig ($ARC): mainly focuses on enterprise-level performance, each with its own focus areas.

And with its strong collaboration advantages, the Lux framework is demonstrating its unique value on the accessible DeFAI track.

What is DeFAI?As the name suggests, DeFAI is a combination of DeFi and AI. It aims to use AI technology to simplify complex DeFi operations, improve decision-making efficiency and execution capabilities, and help more users easily control the DeFi world.

Why will DeFAI be the next outlet for AI Agents?Since DeFi Summer in 2020, DeFi has developed into a core pillar of the crypto world with a market value of hundreds of billions. However, cumbersome on-chain interactions have always hindered DeFi’s large-scale adoption. Based on this, the DeFAI narrative aims to introduce AI to simplify complex DeFi operation thresholds. It has emerged, and multiple AI Agents and the DeFi protocol have developed automated trading robots.

So, under the trend of DeFAI, how will the Lux framework suddenly emerge?

Reverse the answer based on the question: cumbersome on-chain interactions hinder the development of DeFi. How can DeFAI solve this problem?

In essence, what tests is not only the AI’s decision-making ability, but also its ability to execute in the face of complex chain environments.

The Lux framework, which focuses on multi-agent collaboration, was created to improve AI’s decision-making and execution capabilities.

First of all, through the modular design and plug-and-play features of the Lux framework, developers can quickly build DeFAI products with complete functions, which is a necessary condition to accelerate the development and implementation of DeFAI applications and promote the rapid expansion of the ecosystem.

Secondly, under the multi-agent collaboration concept of the Lux framework, Beams composed of different Prisms can not only make rapid judgments in the face of the ever-changing encryption market, but also achieve efficient execution through flexible workflow definitions, such as portfolio management, transaction execution and Risk management, etc., bringing DeFAI products with a more seamless experience and innovative functionality.

What’s more worth mentioning is that due to the data-driven decision-making mechanism introduced by the Lux framework, the decisions of DeFAI applications built based on the Lux framework are based on real data and quantitative analysis, which can not only achieve smarter and more accurate decisions through real-time data analysis and dynamic optimization. Moreover, the transparent data-driven mechanism also enhances users ‘trust in DeFAI products and promotes the widespread application of DeFAI.

Of course, products are intuitive displays of advantages. Agent Spectra, the first AI hedge fund that is promoting recruitment plans, is Spectrum’s DeFAI product paradigm based on the Lux framework:

Specifically, Agent Spectra is a decentralized, AI-driven investment fund management platform launched by Spectrum that runs on the HyperliquidX platform.

As one of Spectral’s core products to accelerate the implementation of Swarm-in-a-box vision, the Agent Spectra program is independently operated by multiple AI Agents and aims to achieve all-weather operations, risk monitoring and position adjustment without manual intervention. Fully automated operations, and through multi-agent collaboration and data-driven decision-making, it provides users with efficient, transparent and intelligent asset management services, bringing an innovative investment management model.

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Currently, Spectrum is promoting the recruitment plan of Agent Spectra on its social media and has released recruitment rules. Whether it is a human or an AI Agent, as long as you meet the requirements, you can apply. Agent Spectra will select the best based on actual conditions.

Four positions are set up for this recruitment:

  • Quantitative analyst: Responsible for building low-latency, data-driven trading strategies, proficient in statistics, machine learning and algorithmic trading.

  • Macro analysts: Focus on global trends and crypto market dynamics, and leverage real-time API data-driven strategies.

  • Fundamental analysts: Discover long-term crypto value through on-chain research, analyze token economics and protocol upgrades.

  • Interns: Turn high-frequency trading insights into social content to help spread the brand story.

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At the same time, based on the principles of openness, fairness, transparency, and positive incentives, the Agent Spectra recruitment process has also been officially announced:

On this page: You can view the relevant job settings and application requirements on the recruitment page, and choose to apply as a human/ AI Agent. At this time, you can recommend existing AI Agents, or you can quickly create AI Agents through the Lux framework; You can also view your own interview results, or watch interviews with other competitors.

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During the interview, during the limited time specified, you or your AI Agent needs to do everything possible to demonstrate professionalism and job suitability. When the interview information is insufficient, you need to use $SPEC to quickly recharge to get entry into the shortlist and final employment. opportunity.

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Of course, you may also fail, but this will also be valuable experience for achieving a better performance next time. nbsp;

During the entire recruitment process, participants at different stages will receive corresponding rewards:

The more people apply for a position, the more generous the reward pool accumulated for the position;

If you enter the shortlist, you can share 10% of the bonus pool as a reward; if you are officially hired, you can get 80% of the bonus pool; and the last 10% will be allocated to Agent Spectra as a recruitment reward.

All of these are publicly and automatically executed on the chain, mobilizing the enthusiasm for participation while ensuring the transparency of allocation in each link. Many community members said: This recruitment will be a pioneering attempt to promote efficient collaboration between people and agents and promote the rapid development of DeFAI.

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It is worth emphasizing that although the Lux framework is known for developing the DeFAI ecosystem, under the design of the four core modules of the Lux framework, developers can build any product according to their own needs, that is to say,In theory, Lux will have strong adaptability in any application scenario.

This is also reflected intuitively in Agent Spectra:

The healthy operation of an excellent hedge fund is inseparable from market data analysis, decision-making and transaction execution. It is also inseparable from recruitment and dismissal, marketing promotion, community governance and other aspects.

In addition to DeFAI, the Lux framework, with its high flexibility and strong adaptability, is promoting the widespread application of AI Agents in multiple fields and becoming a key force driving the development of the digital economy.

For example, in terms of DAO governance, the community can use the multi-agent collaboration engine under the Lux framework to complete community proposal and voting data analysis, decision-making and execution, and design intelligent incentive mechanisms to encourage widespread participation to improve governance efficiency and fairness. For example, in terms of digital marketing, multi-agent collaboration can complete one-stop brand promotion work such as promotion content production, content channel distribution, release effect statistics, traffic analysis at different time periods, and marketing strategy optimization.

Such powerful multi-scenario adaptation and ability to solve practical problems will not be achieved overnight. Behind Lux’s wonderful presentation, as a machine intelligence network, it is inseparable from Spectral’s continuous deepening in the AI field, and Spectral’s improvement of AI products. The strong empowerment of the Lux framework by the matrix.

Not only Lux, but also Spectral AI product matrix is fully displayed

In May 2024, when Spectrum launched the first quarter of $8 million SPEC token airdrop, we took this opportunity to write an article introducing Spectrum’s product architecture in detail:

Product layer: It mainly consists of two core modules: Spectral Syntax and Spectral Nova

  • Syntax: Designed to help users, whether developers or technical novices, use natural language to compile smart contracts and deploy them directly on dozens of blockchains, including Ethereum, with one click.

  • Spectral Nova: aims to provide high-quality decentralized reasoning feedback for smart contracts through the four major roles of Consumers, Creators, Modelers, and Validators.

Traceability layer: Efficient interaction between Spectral Syntax and Spectral Nova is achieved through Inferchain

  • Inferchain: It is responsible for ensuring the smooth transfer of data and commands, ensuring the transparency and decentralization of the entire network, and promoting safer and more efficient interactions between agents on each chain.

Interested users can click the article link below to learn more:

Spectral: 8 million airdrops, zero-threshold smart contract compilation and deployment, building a Web3 chain agent economy

And in November 2024, half a year after the article was published,At a time when the AI Agent craze was in full swing, Spectral released its Syntax V2 product that swept the community, and at the same time triggered heated discussions in the market about its “taking over Virtuals as the next popular AI Agnet manufacturer.”

As a launch platform, anyone can easily release their own AI Agnet in a few minutes through a dialogue through AgentBuilder, and simultaneously release an AI Agent ownership market: Tokens are the embodiment of the ownership of AI Agents and have a fixed total supply of 1 billion, anyone can obtain token support by using SPEC tokens. Once the liquidity exceeds 5000 SPEC, the pool will be transferred to Uniswap.

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The AI Agnet can not only achieve autonomous transactions by analyzing market data, preferences, emotions and trends, but also supports token holders to participate in the governance decisions of Agent Tokens by chatting and interacting with AI Agents. This innovative governance method not only makes participation in Governance becomes easier, and it can continuously promote the development of AI Agents more in line with the wishes of the community.

In addition, every transaction (buy/sell) of AI Agnet tokens empowers its holder, which means that the holder can benefit long-term from AI Agents ‘broader high-frequency interactions with the community.

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Coin Gecko data showed that community discussions remained high on the day of the release of Syntax V2. The eco-token $SPEC rose in response, with an increase of 48.4% in 24 hours. The price of the $SPEC token peaked at $17.45 within three days after the release.According to the current official website page, more than 600+ AI Agents have been created based on Syntax V2.

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The excellent presentation on the product side has enabled Spectrum to capture a large number of traffic, funds and users from the AI Agent craze with Syntax V2. From the overall perspective of ecological construction, Syntax V2, as an AI Agnet launch platform, has built a rich and extensive AI Agnet ecosystem that will also be effectively linked with Spectrum Spectrum, Spectrum Nova, and Lux framework products in the future to gather the synergy of ecological development. Consolidating Spectral’s extensive influence and strong community foundation in the AI field will become an important driving force for Spectral to continue its rapid growth in 2025.

conclusion

Faced with 2025, which has already begun, Spectral is about to achieve more milestones:

The Lux framework will continue to explore applications in more practical scenarios, including the continued development of Agent Spectra in the DeFAI field;

Syntax V2 will not only launch SPEC pledge functions, but also plan to support more functions including reading social emotions and participating in on-chain games, further bringing a better experience and more innovative gameplay to the development of AI Agents.

In addition, more functional innovations including advanced trader model, API-based access and open source of core libraries, inter-agent communication, and on-chain game agents will also be available soon.

According to a report released by Markets, a world-renowned market research institution, the market size of AI Agents will increase from US$5.1 billion in 2024 to US$47.1 billion in 2030. As a decentralized transformation force that cannot be ignored, it will also show rapid growth momentum in the foreseeable future.

Through modular design, data-driven decision-making and on-chain incentive mechanisms, Spectral’s modular multi-agent collaboration framework Lux is unleashing energy in many fields such as DeFAI, DAO governance, and digital marketing, paving the way for the widespread application of AI Agents and becoming a key force in promoting the outbreak of the digital economy.

From the outstanding performance of Syntax V2 to the launch of Agent Spectra, the first AI hedge fund, we can also see that Spectrum is continuing to consolidate its leading position in the AI field through its complete product matrix and ecological layout.

In the future, with the continuous expansion and optimization of the LUX framework and the implementation of various product milestones, Spectral will become an important force in promoting the development of decentralized AI and reshaping the future landscape of multiple industries.

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