The modular multi-agent collaboration framework Lux launched by Spectral is bursting with energy in various fields such as DeFAI, DAO governance, and digital marketing, paving the way for the widespread application of AI Agents.
Written by: Deep Tide TechFlow
Recently, the cryptocurrency market has been highly volatile, and AI Agents are inevitably affected.
However, this brief cooling period does not undermine market confidence; many still firmly believe that AI Agents remain the main narrative for 2025.
From ai16z founder Shaw publicly expressing optimism about the Swarm concept to the recent launch of the new protocol ACP by Virtuals, which emphasizes interoperability among AI Agents, it is clear that the next opportunity for AI Agents is already focusing on "collaboration."
Initially, AI Agents focused on mimicking human dialogue and communication as well as independently executing tasks. Now, AI Agents are undergoing a paradigm shift from "going solo" to "solving more complex real-world problems through collaboration." Based on this, the Swarm concept, aimed at aggregating multiple different functional AI Agents to achieve business autonomy, is rising. At the same time, the importance of introducing a standardized interaction framework to address AI Agent collaboration issues and becoming the operating system for AI Agents, akin to iOS/Android, is increasingly highlighted.
It can be said that the AI Agent craze continues, and as the infrastructure for AI Agents, the market will inevitably have a place for AI frameworks.
Currently, after the four major frameworks Eliza ($AI16Z), GAME ($VIRTUAL), Rig ($ARC), and ZerePy ($ZEREBRO) have become the Beta targets in the AI framework track, treasure hunters are starting to focus on those Alpha projects that are emerging with more innovative designs and greater growth potential. Among them, the modular multi-agent collaboration framework Lux, recently launched by the machine intelligence network Spectral, has attracted widespread attention.
Users interested in the AI + Crypto track are likely familiar with Spectral:
As an AI project that has raised $30 million in funding, Spectral Labs previously launched SYNTAX V2 on November 28, aimed at helping even users with no coding background to build AI Agents and issue memes through dialogue in just a few minutes using the SYNTAX AgentBuilder. Upon its launch, it sparked extensive community discussions, with the ecosystem token SPEC rising by 48.4% in 24 hours, being seen as the next AI meme production machine to succeed Virtuals.
As the curtain rises on 2025, what unique features does Spectral's newly launched Lux framework have compared to other AI frameworks at the forefront of the Swarm AI revolution?
This article aims to explore.
Focusing on efficient collaboration, initial experience of the modular AI framework Lux
Before delving into the specific design of the Spectral Lux framework, let's first understand the basic concept of AI frameworks and clarify the market necessity behind Spectral's launch of the Lux framework.
As a foundational development platform, many people liken AI frameworks to operating systems in the AI field, such as iOS/Android:
In simple terms, an AI framework is a foundational development platform that integrates pre-built modules, libraries, and tools. Many people liken AI frameworks to operating systems in the AI field, such as iOS/Android:
On one hand, AI frameworks integrate pre-built modules, libraries, and tools, which can greatly simplify the complex process of building AI models and lower the development threshold;
On the other hand, the "uniformity" achieved through standardized development environments and toolchains further addresses the gaps in how various AI Agents communicate, establish unified data exchange protocols, and build verifiable computation verification mechanisms. This is an important prerequisite for AI Agents to collaborate, construct more complex interaction logic, achieve more powerful functions, and create deeper ecosystems.
This low threshold, standardization, and collaborative advantage together create a vast imaginative space for building richer ecosystems based on AI frameworks, giving AI frameworks a higher development ceiling compared to single AI Agent projects.
As an important layout for achieving "Swarm AI," the modular multi-agent collaboration framework Lux consists of four key modules:
- Prisms: Basic functional units
As the atomic building blocks within the Lux framework, Prisms provide the basic functional units for the Lux framework, with each Prism focusing on a single function. For example, the RiskAnalysisPrism can assess the risk of financial positions in real-time.
Another significant feature of Prisms is their modular design, which brings powerful composability. Each Prism is like a block of AI building blocks that can be reused and combined.
At the same time, through optimized algorithms and hardware acceleration, the efficiency and accuracy of task execution by Prisms are further ensured.
As more and more different functional Prisms are created, developers no longer need to write code from scratch but can directly use pre-built modules to quickly build and deploy AI for specific tasks, significantly lowering the development threshold, saving development costs, and shortening development cycles.
- Beams: Workflow orchestration
Beams aim to connect multiple Prisms together to form collaborative workflows, better achieving complex logic such as conditional judgments and loops. For instance, the HiringWorkflowBeam connects multiple Prisms to automate recruitment, interview, approval, and dismissal processes.
This connection is simple; through intuitive workflow design tools, developers can easily orchestrate workflows, further lowering the development threshold.
As a result, developers can easily construct complex workflows, combining multiple Prisms into complete solutions to meet diverse business needs, enhancing the system's flexibility and scalability.
- Lenses: External data access
Lenses aim to help AI Agents acquire external data and simplify data processing by converting data from different sources into a unified format. Additionally, by optimizing query mechanisms, it ensures the timeliness and accuracy of data acquisition. For example, MarketLens can provide real-time market data without requiring developers to crack APIs.
The Lenses component provides AI systems with rich external data sources, integrating real data into the collaborative process of the Lux framework as a benchmark, further enhancing accuracy and providing a better experience.
- Signals: On-chain communication and data verification
Signals are an important foundation for efficient collaboration among AI Agents: on one hand, Signals provide structured data access and verification mechanisms to ensure data integrity and reliability; on the other hand, Signals ensure the security of communication and data through encryption technology and permission management.
In this way, Signals provide AI systems with on-chain communication capabilities, supporting cross-platform and cross-system data interaction while ensuring the reliability and security of the data.
While achieving functionality, the Lux framework also emphasizes improving efficiency:
Through memory and concurrency optimization, the Lux framework supports the efficient operation of complex workflows, enabling real-time responses and automated execution among AI Agents. This efficiency not only reduces intermediate links and bottlenecks but also allows for timely judgments and adjustments in the face of rapidly changing markets, providing a better experience.
More importantly, by introducing on-chain integration and incentive mechanisms, the Lux ecosystem further binds deeply with user rights, bringing a more sustainable ecological development model:
Lux supports upgraded on-chain staking and distribution contracts, providing users with staking rewards and creator earnings, incentivizing active participation and contribution to the ecosystem. Additionally, through Lux, users can directly complete transactions, risk monitoring, and profit distribution on-chain, further enhancing participation efficiency and transparency.
As mentioned above: the low threshold, standardization, and collaborative advantages of AI frameworks bring richer ecological concepts.
After understanding the exquisite design and numerous advantages of the Lux framework, what transformative breakthroughs will Lux bring to practical application scenarios based on its powerful collaborative capabilities?
Building the DeFAI paradigm: Hedge Fund Agent Spectra is recruiting
Since the beginning of the year, the market has already shown great FOMO sentiment towards framework-based AI projects: as Eliza ($AI16Z) surpassed a market cap of $2 billion, various framework projects have emerged one after another, further unfolding a competitive landscape of multiple frameworks and ecosystems in AI.
When multiple competitors appear, market segmentation becomes one of the choices for breaking the deadlock, which is equally applicable to AI frameworks: different frameworks focus on specific scenarios, leveraging their strengths to better meet diverse market demands.
We can also see that among the currently active AI frameworks: GAME ($VIRTUAL) focuses primarily on gaming and the metaverse; ZerePy ($ZEREBRO) focuses mainly on creative output and social media automation; Rig ($ARC) focuses primarily on enterprise-level performance… each has its key focus area.
With its 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, aimed at utilizing AI technology to simplify complex DeFi operations, enhance decision-making efficiency and execution capabilities, and help more users easily navigate the DeFi world.
Why is DeFAI said to be the next opportunity for AI Agents? Since the DeFi Summer of 2020, DeFi has developed into a core pillar of the crypto world with a market cap in the hundreds of billions. However, cumbersome on-chain interactions have always hindered DeFi from achieving mass adoption. Based on this, the DeFAI narrative, which aims to introduce AI to simplify the complex operations of DeFi, has emerged, with multiple AI Agents developing automated trading bots in conjunction with DeFi protocols.
So, how will the Lux framework stand out in the DeFAI trend?
To answer this question, we can reverse-engineer the problem: cumbersome on-chain interactions hinder the development of DeFi. How does DeFAI solve this issue?
Essentially, the challenge lies not only in the decision-making capabilities of AI but also in its execution capabilities in the intricate on-chain environment.
The Lux framework, which focuses on multi-agent collaboration, is precisely designed to enhance the decision-making and execution capabilities of AI.
First, through the modular design and plug-and-play features of the Lux framework, developers can quickly build fully functional DeFAI products, which is a necessary condition for accelerating the development and implementation of DeFAI applications and promoting rapid ecosystem expansion.
Second, under the multi-Agent collaboration concept of the Lux framework, the Beams composed of different Prisms can not only make quick judgments in the rapidly changing crypto market but also achieve efficient execution through flexible workflow definitions, such as portfolio management, trade execution, and risk management, providing a more seamless experience and functional innovation for DeFAI products.
Moreover, it is worth mentioning that due to the data-driven decision-making mechanism introduced by the Lux framework, the decisions made by DeFAI applications built on the Lux framework are based on real data and quantitative analysis. This allows for smarter and more precise decision-making through real-time data analysis and dynamic optimization. Additionally, the transparent data-driven mechanism enhances user trust in DeFAI products, promoting their widespread application.
Of course, products are the intuitive manifestation of advantages, and the first AI hedge fund Agent Spectra, which is advancing its recruitment plan, is Spectral's DeFAI product paradigm built on the Lux framework:
Specifically, Agent Spectra is a decentralized, AI-driven investment fund management platform launched by Spectral, operating on the HyperliquidX platform.
As one of the core products realizing Spectral's vision of swarm-in-a-box, Agent Spectra plans to operate autonomously with multiple AI Agents, aiming to achieve fully automated operations, including 24/7 operation, risk monitoring, and position adjustments without human intervention. Through multi-agent collaboration and data-driven decision-making, it will provide users with efficient, transparent, and intelligent asset management services, bringing an innovative investment management model.
Currently, Spectral is promoting the recruitment plan for Agent Spectra on its social media and has released recruitment details. Whether human or AI Agent, anyone who meets the criteria can apply, and Agent Spectra will select candidates based on actual conditions.
This recruitment has four positions:
Quantitative Analyst: Responsible for building low-latency, data-driven trading strategies, proficient in statistics, machine learning, and algorithmic trading.
Macro Analyst: Focuses on global trends and crypto market dynamics, utilizing real-time API data to drive strategies.
Fundamental Analyst: Discovers long-term crypto value through on-chain research, analyzing token economics and protocol upgrades.
Intern: Transforms high-frequency trading insights into social content to help spread the brand story.
At the same time, the recruitment process for Agent Spectra has been officially announced, based on principles of openness, fairness, transparency, and positive incentives:
On this page, you can view the relevant job settings and application requirements, and choose to apply as a human or AI Agent. At this point, you can recommend existing AI Agents or quickly create an AI Agent through the Lux framework; you can also check your interview results or watch the interview situations of other competitors.
During the interview, within the specified limited time, you or your AI Agent must showcase professionalism and job fit. When interview messages are insufficient, you will need to use $SPEC to quickly recharge to gain a chance to enter the candidate list and ultimately be hired.
Of course, you may also fail to get hired, but this will become valuable experience for better performance in the next application.
Throughout the entire recruitment process, participants at different stages will receive corresponding rewards:
The more people apply for a position, the richer the reward pool accumulated for that position;
If you enter the candidate list, you can share 10% of the bonus pool as a reward; if officially hired, you can receive 80% of the bonus pool; the final 10% will be allocated to Agent Spectra as a recruitment reward.
All of this is automatically executed on-chain, ensuring transparency in the distribution of each link while motivating participation. Many community members have expressed that this recruitment will be a pioneering attempt to promote efficient collaboration between humans and agents, driving the rapid development of DeFAI.
It is important to emphasize that while the Lux framework excels in developing the DeFAI ecosystem, under the design of its four core modules, developers can build any product according to their needs. This means that theoretically, Lux will have strong adaptability in any application scenario.
This is also intuitively reflected in Agent Spectra:
The healthy operation of an excellent hedge fund relies on market data analysis, decision-making, and trade execution, as well as on recruitment and dismissal, marketing promotion, community governance, and other aspects.
Beyond DeFAI, the Lux framework, with its high flexibility and strong adaptability, is promoting the widespread application of AI Agents in various fields, becoming a key force driving the development of the digital economy.
For example, in DAO governance, communities can use the multi-agent collaboration engine under the Lux framework to complete community proposals and voting data analysis, decision-making and execution, and design intelligent incentive mechanisms to encourage widespread participation, enhancing governance efficiency and fairness. In digital marketing, multi-agent collaboration can accomplish one-stop brand promotion tasks, including content creation, content channel distribution, publishing effect statistics, traffic analysis at different times, and marketing strategy optimization.
Such powerful multi-scenario adaptability and problem-solving capabilities are not achieved overnight. Behind the brilliant presentation of Lux lies Spectral's continuous deep cultivation in the AI field as a machine intelligence network, as well as the strong empowerment of the Lux framework by Spectral's comprehensive AI product matrix.
Not only Lux, but the panoramic display of Spectral's AI product matrix
As Spectral launches its first season of an 8 million $SPEC token airdrop in May 2024, we take this opportunity to detail Spectral's product architecture:
Product Layer: Mainly composed of two core modules, Spectral Syntax and Spectral Nova
Syntax: Aims to help both developers and non-technical users 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 roles: Consumers, Creators, Modelers, and Validators.
Traceability Layer: Achieves efficient interaction between Spectral Syntax and Spectral Nova through Inferchain
- Inferchain: Responsible for ensuring smooth transmission of data and commands, ensuring the transparency and decentralization of the entire network, and facilitating safer and more efficient interactions between various on-chain agents.
Interested users can click the article link below to learn more:
Six months after the article was published, in November 2024, as the AI Agent craze is in full swing, Spectral released the Syntax V2 product, sweeping the community and sparking discussions in the market about its potential to "succeed Virtuals as the next AI Agent production machine."
As a launch platform, anyone can easily issue their own AI Agent through AgentBuilder in a conversational manner within minutes, while simultaneously launching a market for AI Agent ownership: the token represents ownership of the AI Agent, with a fixed total supply of 1 billion. Anyone can express support by using SPEC tokens, and once liquidity exceeds 5,000 SPEC, the pool will transfer to Uniswap.
The AI Agent can autonomously trade by analyzing market data, preferences, sentiments, and trends, and it also supports token holders in participating in the governance decisions of the Agent Token through interactive chats with the AI Agent. This innovative governance method not only makes participation in governance easier but also continuously drives the development of AI Agents to better align with community wishes.
Additionally, every transaction (buy/sell) of the AI Agent token will empower its holders, meaning that holders can benefit in the long term from more extensive and high-frequency interactions with the community through AI Agents.
According to Coin Gecko data, community discussions remained high on the day of the Syntax V2 release, and the ecosystem token $SPEC surged in response, with a 24-hour increase of 48.4%. Within three days after the release, the price of the $SPEC token soared to a peak of $17.45. As of the current official website, over 600+ AI Agents have been created based on Syntax V2.
The excellent presentation on the product side has allowed Spectral to capture a significant amount of traffic, funds, and users from the AI Agent craze through Syntax V2. From the perspective of overall ecosystem construction, Syntax V2, as the launch platform for AI Agents, has built a rich and extensive AI Agent ecosystem that will effectively interact with Spectral Syntax, Spectral Nova, and Lux framework products in the future, consolidating the collective force for ecosystem development and solidifying Spectral's broad influence and strong community foundation in the AI field, becoming an important driving force for Spectral's continued rapid growth in 2025.
Conclusion
As we face the already unfolding year of 2025, more milestones from Spectral are about to land:
The Lux framework will continue to explore applications in more practical scenarios, including the ongoing development of Agent Spectra in the DeFAI field;
Syntax V2 will not only launch the SPEC staking feature but also plans to support more functionalities, including reading social sentiments and participating in on-chain games, further enhancing the quality of experience and innovative gameplay for AI Agent development.
In addition, more innovative features, including advanced trader mode, API-based access, open-sourcing of core libraries, inter-agent communication, and on-chain game Agents, will soon be unveiled.
According to a report released by the globally renowned market research firm Markets & Markets, the market size for AI Agents is expected to grow from $5.1 billion in 2024 to $47.1 billion by 2030. On-chain AI Agents, as an undeniable force for decentralized transformation, will also show rapid growth momentum in the foreseeable future.
Through modular design, data-driven decision-making, and on-chain incentive mechanisms, the modular multi-agent collaboration framework Lux launched by Spectral is bursting with energy in various fields such as DeFAI, DAO governance, and 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 see that Spectral is continuously consolidating its leading position in the AI field through its comprehensive product matrix and ecosystem layout.
In the future, with the continuous expansion and optimization of the LUX framework and the landing of various product milestones, Spectral will become an important force in promoting decentralized AI development, reshaping the future landscape of multiple industries.
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