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

Authored by: Deep Tide TechFlow

The recent volatility in the cryptocurrency market has also affected AI Agent.

But the brief cooling off does not affect market confidence, and many still believe: AI Agent is still the main narrative in 2025.

From a16z founder Shaw publicly expressing optimism for the Swarm concept, to Virtuals recently launching the new protocol ACP emphasizing interoperability between AI Agents, it is not difficult to see that the next opportunity for AI Agents is focused on "collaboration".

Initially, AI Agent focused on imitating human conversation and communication as well as the ability to independently perform tasks. Now, AI Agent is undergoing a paradigm shift from 'solo performance' to 'solving more complex real-world problems through collaboration.' Based on this, the concept of Swarm, aiming to aggregate multiple AI Agents with different functions to achieve business autonomy, is emerging. At the same time, there is a growing importance placed on introducing standardized interaction frameworks to address AI Agent collaboration issues and become the AI framework for the operating systems iOS/Android in the AI Agent field.

It can be said that the AI Agent trend continues, as the infrastructure of AI Agent, the market will inevitably have a place for AI frameworks.

At present, after Eliza ($AI16Z), GAME ($VIRTUAL), Rig ($ARC), and ZerePy ($ZEREBRO) have become the Beta targets of the AI framework race, prospectors are beginning to turn their attention to those Alpha projects that have shown their edge with more innovative designs and greater growth potential. Among them, the modular multi-agent collaboration framework Lux, newly launched by the machine intelligence network Spectral, has attracted widespread attention.

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

As an AI track project with a cumulative financing of 30 million US dollars, Spectral Labs previously launched SYNTAX V2 on November 28 to help even users with zero code foundation build AI Agents and issue Memes in minutes through dialogue using SYNTAX AgentBuilder. Once launched, it sparked high community discussion, with the ecosystem token SPEC rising by 48.4% in 24 hours, seen as the next AI Meme explosive product following Virtuals.

The curtain rises in 2025, Spectral stands at the forefront of the revolutionary Swarm AI, launching the new product Lux framework. What are the unique features compared to other AI frameworks?

This article aims to explore.

Focus on efficient collaboration, modular AI framework Lux functionality first experience

Before we dive into 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 a foundational development platform, many people liken AI frameworks to the operating systems iOS / Android in the field of AI.

Simply put, an AI framework is a foundational development platform that integrates pre-built modules, libraries, and tools. Many people liken AI frameworks to the operating systems iOS / Android in the field of AI.

On the one hand, AI frameworks integrate pre-built modules, libraries, and tools, which can greatly simplify the process of building complex AI models and lower the threshold for development.

On the other hand, the 'uniformity' of the AI framework, based on standardized development environments and toolchains, further complements the deficiencies in how AI Agents communicate, establish unified data exchange protocols, and build verifiable computing verification mechanisms. This is an important prerequisite for AI Agents to cooperate with each other, build more complex interactive logic, achieve more powerful functions, and create a deeper ecosystem.

The combination of low entry barriers, standardization, and collaboration advantages has created a huge space for imagination to build a richer ecosystem based on the AI framework, which also gives the AI framework a higher development ceiling compared to a single AI Agent project.

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

Prisms: Basic functional unit

As an atomic building block within the Lux framework, Prisms provides the basic functional units of the Lux framework, and each Prism focuses on a single function, such as RiskAnalysisPrism, which can assess the risk of financial positions in real time.

Another major feature of Prisms is the powerful modularity brought by its modular design, where each Prism is like building blocks of AI, which can be reused and combined.

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

With the creation of more and more different functions of Prisms, developers do not need to write code from scratch, but can directly use pre-built modules to quickly build and deploy AI for specific tasks, greatly reducing the development threshold, saving development costs, and shortening the development cycle.

Beams: Workflow Orchestration

Beams aims to connect multiple Prisms together to form collaborative workflows for better implementation of conditional judgment, loops, and other complex logics. For example, HiringWorkflowBeam connects multiple Prisms to automate the recruitment, interview, approval, and dismissal processes, etc.

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

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

Lenses: external data access

Lenses are designed to help AI Agents access 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, it ensures the real-time and accuracy of data acquisition. For example, MarketLens can provide real-time market data without developers having to crack the API.

The Lenses component provides AI systems with a rich source of external data, and the Lux framework integrates real data into the collaborative process as the criteria for judgment, further enhancing accuracy and bringing 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 the data; on the other hand, Signals ensures the security of communication and data through encryption technology and permission management.

In this way, Signals provide on-chain communication capabilities for AI systems, supporting cross-platform, cross-system data interaction, while ensuring the credibility and security of the data.

While achieving functional implementation, the Lux framework also focuses on improving efficiency.

Through optimization of memory and concurrency, the Lux framework supports the efficient operation of complex workflows, enabling 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, bringing a better experience.

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

Lux supports on-chain upgradable staking and distribution contracts, providing users with staking rewards and creator profits, incentivizing active participation and contribution to the ecosystem. In addition, through Lux, users can directly complete on-chain transactions, risk monitoring, and profit distribution operations, further enhancing participation efficiency and transparency.

As mentioned above, the low threshold, standardization, and collaboration advantages of AI frameworks bring a richer ecological vision.

After understanding the exquisite design and many advantages of the Lux framework, based on the powerful collaborative ability brought by this sophisticated AI framework, what revolutionary breakthroughs will Lux bring to which practical application scenarios?

Creating the DeFAI Paradigm: Hedge Fund Agent Spectra is Now Recruiting

Since the beginning of the year, the market has shown great FOMO sentiment towards framework AI projects: as Eliza ($AI16Z)'s market value surpasses $20 billion, major framework projects have emerged one after another, and the AI landscape of multiple frameworks and ecosystems competing has further unfolded.

When multiple competitors emerge, market segmentation becomes one of the disruptive choices. This also applies to AI frameworks: different frameworks focus on specific scenarios, play to their strengths, in order to better meet diverse market demands.

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

With strong collaborative advantages, the Lux framework is demonstrating its unique value in the accessible DeFAI track.

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

Why is DeFAI said to be the next trend of AI Agent? Since DeFi Summer in 2020, DeFi has developed into the core pillar of the crypto world with a market value of hundreds of billions. However, the cumbersome on-chain interactions have always hindered the large-scale adoption of DeFi. In view of this, DeFAI, aimed at introducing AI to simplify the complex DeFi operations, has emerged, and multiple AI Agents have developed automated trading robots for DeFi protocols.

So, under the DeFAI trend, how will the Lux framework rise to prominence again?

Based on reversing the answer to the problem: Cumbersome on-chain interactions hinder the development of DeFi, how does DeFAI solve this problem?

Essentially, what is being tested is not only the decision-making ability of AI, but also its execution ability in the face of the complex on-chain environment.

And the focus on the Lux framework, which focuses on multi-agent collaboration, is precisely designed to enhance the decision-making and execution capabilities of AI.

First of all, through the modular design and plug-and-play features of the Lux framework, developers can quickly build feature-rich DeFAI products, which are necessary conditions to accelerate the development and implementation of DeFAI applications, and promote the rapid expansion of the ecosystem.

Secondly, under the collaborative concept of multiple Agents in the Lux framework, Beams composed of different Prisms can not only quickly make judgments in the rapidly changing crypto market, but also achieve efficient execution through flexible workflow definitions, such as portfolio management, trade execution, risk management, etc., bringing more seamless experience and functional innovation to DeFAI products.

It is worth mentioning that, due to the data-driven decision-making mechanism introduced by the Lux framework, the decision-making of DeFAI applications built on the Lux framework is based on real data and quantitative analysis, which not only can achieve more intelligent and precise decision-making through real-time data analysis and dynamic optimization, but also enhances users' trust in DeFAI products and promotes the widespread application of DeFAI.

Of course, the product is an intuitive presentation of advantages, and the first AI hedge fund Agent Spectra, which is advancing its recruitment plan, is a DeFAI product paradigm built by Spectral based on the Lux framework.

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

As one of the core products that realizes the vision of Spectral's accelerated swarm-in-a-box, Agent Spectra is planned to be autonomously operated by multiple AI Agents, aiming to achieve fully automated operations including round-the-clock operation, risk monitoring and position adjustment without human intervention. Through multi-agent collaboration and data-driven decision-making, it aims to provide users with efficient, transparent, and intelligent asset management services, bringing innovative investment management models.

Currently, Spectral is promoting the recruitment plan of Agent Spectra on its social media and has released the recruitment rules. Both humans and AI agents can apply as long as they meet the requirements, and Agent Spectra will select candidates based on actual situations.

This recruitment sets up four positions:

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

Macro Analysts: Follow global trends and crypto market dynamics, leveraging real-time API data-driven strategies.

Fundamental Analyst: Explore long-term crypto value through on-chain research, analyze token economics and protocol upgrades.

Intern: Transforming high-frequency trading insights into social content to help spread brand stories.

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

On this page: You can view related 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 quickly create AI Agents through the Lux framework; you can also view your interview results, or watch the interviews of other competitors.

During the interview, within the specified limited time, you or your AI Agent need to pull out all the stops to demonstrate professionalism and job fit. When there is insufficient interview credit, you need to recharge quickly with $SPEC to get the opportunity to enter the candidate list and eventually be hired.

Of course, you may also fail in the application, but this will also be a valuable experience for the next application to perform better.

And in the entire process of recruitment, participants at different stages will receive corresponding rewards:

The more people apply for the position, the more rewards the position's accumulated reward pool will be;

If you enter the candidate list, you can share 10% of the bonus pool as a reward together; if you are formally hired, you can get 80% of the bonus pool; the remaining 10% will be allocated to Agent Spectra as a recruiting reward.

All of these are executed automatically on the chain in a transparent manner to ensure the allocation of each link while mobilizing active participation. Many community members have expressed that this recruitment will be a pioneering attempt to promote efficient collaboration between people and agents, and drive the rapid development of DeFAI.

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

This is also evident in Agent Spectra:

The healthy operation of an excellent hedge fund relies on market data analysis, decision-making, and trade execution, as well as recruiting and dismissing, marketing promotion, community governance, and other processes.

Beyond DeFAI, the Lux framework, with its high flexibility and powerful adaptability, is driving the extensive application of AI Agents in multiple fields, 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 implementation, design intelligent incentive mechanisms to encourage widespread participation, and enhance governance efficiency and fairness. Another example is in digital marketing, multi-agent collaboration can complete one-stop brand promotion work from promotional content production, content channel distribution, release effect statistics, traffic analysis at different time periods, and marketing strategy optimization.

Such powerful multi-scenario adaptation and problem-solving capabilities are by no means achievable overnight. Behind the brilliant presentation of Lux, as a machine intelligent network, it cannot do without Spectral's continuous deep cultivation in the field of AI, nor can it do without Spectral's powerful empowerment of Lux framework through the perfection of AI product matrix.

More than just Lux, the Spectral AI product matrix presents a panoramic view

On the occasion of the first season of 8 million $SPEC token airdrops by Spectral in May 2024, we take this opportunity to detail the Spectral product architecture through this article:

Product layer: mainly composed of two core modules, Spectral Syntax and Spectral Nova.

Syntax: Designed to help developers and technical novices alike, users can compile smart contracts using natural language and deploy them with one click on dozens of blockchains including Ethereum.

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

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

Inferchain: Undertaking the mission of ensuring smooth transmission of data and commands, ensuring the transparency and decentralization of the entire network, and promoting safer and more efficient interaction between on-chain agents.

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

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

And in November 2024, half a year after the article was published, amidst the fervor of the AI Agent, Spectral released Syntax V2, sweeping the community, and triggering discussions in the market about whether it will "take over Virtuals and become the next hot AI Agent manufacturing machine".

As a launch platform, anyone can easily issue their own AI Agent through AgentBuilder in a few minutes in the form of a dialogue. At the same time, synchronize the release of a market for AI Agent ownership: tokens embody the ownership of AI Agents, with a fixed total supply of 1 billion. Anyone can obtain token expression support by using SPEC tokens. Once the liquidity exceeds 5000 SPEC, the pool will be transferred to Uniswap.

The AI Agnet not only enables autonomous trading by analyzing market data, preferences, sentiment and trends, but also supports token holders to participate in the governance decisions of the Agent Token by interacting with the AI Agent, which not only makes it easy to participate in governance, but also continuously promotes the development of the AI Agent to be more in line with the wishes of the community.

In addition, each transaction (buying/selling) of AI Agnet token will empower its holder, meaning that holders can benefit in the long run through more extensive and frequent interactions with AI Agents and the community.

According to Coin Gecko data, community discussions remained high on the day Syntax V2 was released, and the ecosystem token $SPEC surged in response, with a 24-hour increase of 48.4%. Within three days of the release, the $SPEC token price surged to a peak of $17.45. According to the current official website display, there are already over 600+ AI Agents created based on Syntax V2.

The excellent presentation on the product side has enabled Spectral to capture a large amount of traffic, funding, and users from the AI Agent trend with Syntax V2. From the perspective of overall ecological construction, as an AI Agent launch platform, the rich and extensive AI Agent ecosystem built by Syntax V2 will also effectively interact with Spectral Syntax, Spectral Nova, and Lux framework products in the future, consolidating ecological development and laying a solid foundation for Spectral's extensive influence and strong community base in the AI field, becoming an important driving force for Spectral's continued rapid growth in 2025.

epilogue

As we approach the already unveiled 2025, more milestones of Spectral are about to be achieved:

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

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

In addition, more functional innovations such as advanced trader mode, API-based access and open-source core libraries, inter-agent communication, and on-chain game Agent are on the way.

According to a report released by the globally renowned market research firm Markets & Markets, the market size of AI Agent will increase from 5.1 billion USD in 2024 to 47.1 billion USD in 2030. As a significant force of decentralized transformation, on-chain AI Agent will also show a rapid growth trend in the foreseeable future.

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

From the impressive performance of Syntax V2 to the launch of the first AI hedge fund, Agent Spectra, we can also see that Spectral is continuously consolidating its leading position in the AI field through its comprehensive product matrix and ecological layout.

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