Original author: Shenchao TechFlow

While Bitcoin was declining and altcoins were turning red, memes in the primary chain market had temporarily become a 'safe haven' for the market. Although some high-market-value memes listed on exchanges were inevitably affected by the broader market and continued to decline, for new popular assets (or perhaps more appropriately called fast-track tokens), the panicked market sentiment could at most cause some superficial injuries.

Last Friday, the enterprise-level multi-agent collaboration framework Swarms announced on Twitter that it had 'claimed' the token $swarms issued through Pump.Fun. The reason for the term 'claimed' is that $swarms was not issued on the official announcement day but had existed two days prior. At that time, without official endorsement, $swarms may have been regarded by the market as an ordinary 'scam project', with a market value once at a low point of $6000.

With the $arc shining in the front, the narrative of the $swarms framework makes the market buy in without hesitation. During the 'Black Friday' when clones dropped sharply across the board, $swarms only consolidated slightly during a few hours of market panic, before directly breaking through a market value of 70 million dollars.

By synthesizing relevant information provided by Swarms' official website and technical documentation, we have initially understood what the Swarms framework is designed for.

Note: Meme token prices are highly volatile and carry significant risk. Investors should thoroughly assess the risks and participate cautiously. This article merely shares information based on market trends, and the author and platform do not guarantee the completeness or accuracy of the content, and no investment advice is provided.

Is it another technical faction entering the game?

In addition to the clear token address on the Swarms official homepage, Swarms framework developer @KyeGomezB also continued to discuss token-related news on the same day.

According to Kye Gomes' GitHub page, the Swarms framework has already received over 2000 stars (the rig framework of $arc currently has 1300 stars).

With proof from GitHub, at least the hardcore technical identity of the $swarms token is established.

Enterprise-level multi-agent collaboration framework

The Swarms framework was not originally designed specifically for Web3 or Crypto Native; its core positioning is just like the original meaning of the term 'Swarms'—a swarm, which is an enterprise-level multi-agent collaboration framework. It is not merely a simple AI development tool but a complete solution focused on addressing the practical issues enterprises face in the AI implementation process.

In practical applications, Swarms provides a complete toolchain that enables enterprises to easily build and manage collaboration among multiple AI agents. These AI agents can be different language models, specialized tools, or custom intelligent agents that can seamlessly cooperate under Swarms' coordination to complete complex business tasks.

From a technical architecture perspective, the Swarms framework includes the following core components:

  • Task scheduling system: responsible for breaking down complex tasks and assigning them to suitable AI agents

  • Agent management module: manages the lifecycle and status of each AI agent

  • Communication middleware: ensures accurate and efficient information transmission between agents

  • Monitoring and logging system: real-time tracking of the entire system's operational status

At the enterprise application level, Swarms provides:

  • High availability assurance: automatic fault tolerance and recovery mechanisms

  • Complete monitoring system: real-time tracking of AI agents' performance and status

  • Flexible scalability: easily add new AI capabilities and business logic

  • Security considerations: perfect permission management and data protection mechanisms

To understand how Swarms works, we can use an orchestra as a metaphor:

Imagine a large orchestra performing a symphony. Traditional AI solutions are like a jack-of-all-trades trying to play all instruments simultaneously. In contrast, Swarms allows each musician (AI agent) to focus on their expertise, collaborating under the conductor's (Swarms framework) coordination. The score is the standardized task flow of the entire system, while rehearsals are the continuous optimization process of the system.

For instance, in e-commerce scenarios, when users need personalized shopping recommendations, the system will automatically coordinate multiple specialized agents. The user profile analysis agent deeply understands user needs, the product recommendation agent filters the most suitable products accordingly, and the evaluation analysis agent organizes user feedback. Finally, the dialogue assistant agent integrates this information into friendly suggestions for the user. These agents perform their roles while seamlessly cooperating to ultimately provide precise services to users.

How does it differ from other projects in the same track?

As a product in the AI framework track, both the $ai16z$ELIZA with the ELIZA framework and the $arc based on the rig framework showcase the market's recognition of the underlying infrastructure concept through their pricing.

So does the Swarms framework compete with the other two projects? Or can they complement each other?

Twitter user @tme l0 211 summarized the possible connections between the three frameworks:

  • From ELIZA to RIG (ARC), and then to the evolution logic of Swarms' standards and frameworks is fine. ELIZA focuses on lightweight rapid deployment to create AI Agents, while ARC hopes to use Rust language to improve resource optimization and performance of AI Agent systems. Swarms aims to build a complex task decomposition and coordination framework for multi-AI Agent collaboration, featuring a mixed orchestration mechanism for multiple agents, flexible combinations of serial and parallel mechanisms, and a multi-level Memory processing architecture. Looking at the necessity of its technological evolution logic and development direction, it makes a lot of sense.

  • In theory, Swarms can integrate with ARC, and ARC can optimize ELIZA. All three frameworks embody a modular design philosophy, and their technological visions are becoming increasingly grand. This may be a concern of being overly 'conceptual'; the current standard frameworks have not yet reached a point of evaluation to determine superiority or inferiority. One should observe the completeness of the framework's codebase and the landing of AI applications based on its framework. If the early technological advantages are difficult to gauge, focus on the landing application situation; technology may float in the air, but application interaction experiences will definitely land on the ground.

Clearly, whether it's ELIZA, RIG, or Swarms, their feasibility and expansion potential are still in the early stages. Different language frameworks focus on solving different problems during the large-scale adoption of AI, and 'mutual collaboration' is also an unavoidable theme among various frameworks in the future.

Founder's credibility questioned, the token price fluctuates

Although the market recognized the narrative of $swarms from the beginning, things have not always run smoothly.

On the day the $swarms token exploded in popularity, the founder of $ai16z, Shaw @shawmakesmagic, publicly criticized the developer of the Swarms framework @KyeGomezB on Twitter, stating, 'I really don't like to publicly point out others' issues. Doing so poses a huge risk to our project, makes many people feel nervous, and I also don't want to discourage those hardworking developers. But some people will steal others' work and try to take credit for it.' He cited a 2023 Reddit post to justify Kye's alleged plagiarism. The article pointed out that a GitHub repository may contain traces of stealing others' work, and that repository belongs to Swarms developer Kye.

Shaw's FUD also brought the price of $swarms close to halving. However, in the face of this FUD, Swarms' founder Kye was also undeterred. While countering on Twitter, he launched a new token $mcs based on the Swarms framework application Medicalswarm, intending to prove that his framework is not useless but really 'has substance'.

Perhaps Kye is not yet familiar with the play of AI Meme. During the period when the consensus around $swarms was not yet solidified and the token price was still in a downward trend, launching a new token led many confused players to believe that the $swarms developers abandoned the project, making $swarms seem unworthy of further investment. Therefore, the launch of $mcs initially did not serve to save $swarms; instead, it caused $swarms to drop even more, with the market value plunging from a high of 74 million dollars to as low as 6 million dollars, dragging the new token $mcs down with it.

However, inexperienced Kye realized that his handling might be somewhat off upon seeing this situation. He then urgently started a live stream to announce that he was indeed serious about building and would lock up his $swarms tokens for a year. Perhaps the founder really wanted to prove himself in the face of various FUD, or maybe he had someone guiding him behind the scenes, creating such operations to gather support while consensus was unstable. In any case, this wave of buying and selling did wash away many early entrants, and the market, coming back to its senses, re-bought $swarms, gradually increasing its market value to stabilize around 30 million dollars.

Summary

As of the time of writing, the price trend of $swarms has gradually stabilized, with a market value still around 40 million.

$swarms' 'fast track script' is somewhat similar to $arc. As a token with a technical background, it saw a frenzy of market buying after fermentation, quickly reaching a market value of tens of millions. However, as profit-taking exits and market understanding and community consensus take time to solidify, such tokens will inevitably experience volatility in their early stages.

Whether this project truly has substance as claimed by its founder will ultimately be determined by the market.