Against the market's rapid access + violent washout, will $swarms be the next $arc?
The tech side is issuing coins, but the coin price is fluctuating like a roller coaster.Author: Deep Tide TechFlow
As Bitcoin declines and altcoins turn red, the memes on the first-tier chains have temporarily become the "safe haven" of the market. Although some high-market-cap memes listed on exchanges are inevitably affected by the overall market and continue to decline, for new popular assets (or more appropriately called "fast-track assets"), the panic in the market can at most cause some superficial injuries.
Last Friday, the enterprise-level multi-agent collaboration framework Swarms announced on Twitter that it was "claiming" the token $swarms issued through Pump.Fun. It is termed "claiming" because $swarms did not launch on the day of the official announcement but had already existed two days earlier. Without official endorsement, $swarms might have been regarded by the market as an ordinary "scam," with its market cap once languishing at a low of $6,000.
With the success of $arc as a precedent, the narrative framework of $swarms led the market to buy in without hesitation. On the "Black Friday" when altcoins plummeted, $swarms merely consolidated sideways during the most panicked hours of the market, before directly breaking through a market cap of $70 million.
By synthesizing information provided by Swarms' official website and technical documentation, we have a preliminary understanding of what the Swarms framework does.
Note: Meme token prices are highly volatile and carry significant risks. Investors should fully assess risks and participate cautiously. This article only shares information based on market trends, and the author and platform make no guarantees regarding the completeness or accuracy of the content. This article does not constitute any investment advice.
Is it another entry for the tech crowd?
In addition to the clear token address on the Swarms official homepage, the developer of the Swarms framework @KyeGomezB continued to discuss token-related news on that day.
According to Kye Gomes' GitHub page, the Swarms framework has already received over 2,000 stars (the $arc rig framework currently has 1,300 stars).
With GitHub as proof, at least the hardcore technical identity of the $swarms token is solidified.
Enterprise-level Multi-Agent Collaboration Framework
The Swarms framework was not originally designed specifically for Crypto Native services in Web3; its core positioning, as the term "Swarms" suggests, is a multi-agent collaboration framework for enterprises. It is more than just a simple AI development tool; it is a complete solution focused on addressing the practical problems enterprises face during the implementation of AI.
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, which can seamlessly cooperate under the scheduling of Swarms 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 transfer between agents.
Monitoring and logging system: tracks the operational status of the entire system in real-time.
At the enterprise application level, Swarms provides:
High availability assurance: automatic fault tolerance and recovery mechanisms.
Complete monitoring system: real-time tracking of AI agent performance and status.
Flexible scalability: easy addition of new AI capabilities and business logic.
Security considerations: comprehensive permission management and data protection mechanisms.
To understand how Swarms works, we can use an orchestra as an analogy:
Imagine a large orchestra performing a symphony. Traditional AI solutions are like a jack-of-all-trades trying to play all instruments at once. In contrast, Swarms allows each "musician" (AI agent) to focus on their expertise, collaborating under the direction of a "conductor" (Swarms framework). The sheet music represents the standardized task flow of the entire system, while rehearsals are the continuous optimization process of the system.
For example, in an e-commerce scenario, when a user needs personalized shopping recommendations, the system automatically coordinates multiple specialized agents. The user profiling agent deeply understands user needs, the product recommendation agent filters the most suitable products accordingly, and the review analysis agent organizes user feedback, ultimately presenting friendly suggestions to the user through the dialogue assistant agent. These agents perform their respective roles while seamlessly cooperating to provide precise services to the user.
How does it differ from other projects in the same field?
As a product in the AI framework space, whether it is $ai16z&$ELIZA with the ELIZA framework or $arc based on the rig framework, their prices reflect the market's recognition of the underlying infrastructure concept.
So, is the Swarms framework in competition with the other two projects? Or can they complement each other?
Twitter user @tmel0211 summarized the potential connections between the three frameworks:
The evolution logic of standards and frameworks from ELIZA to RIG (ARC) and then to Swarms makes sense. ELIZA focuses on lightweight rapid deployment to create AI agents, ARC aims to enhance resource optimization and performance of AI agent systems using Rust, while Swarms seeks to build a complex task decomposition and coordination framework for multi-AI agent collaboration. Its mixed orchestration mechanism, flexible combination of serial and parallel mechanisms, and multi-layer memory processing architecture all make sense in terms of the necessity and development direction of its technical evolution.
Theoretically, Swarms can integrate with ARC, and ARC can optimize ELIZA. All three frameworks share a modular design philosophy, and their technical visions are becoming increasingly grand. This could be a somewhat "conceptual" concern; the current standard frameworks are far from a point of determining superiority or inferiority. We should observe the completeness of the framework codebases and the implementation of individual AI applications based on these frameworks. If early technical advantages are unclear, focus on the implementation of applications; technology may float in the air, but the interactive experience of applications will certainly land on the ground.
Clearly, whether ELIZA, RIG, or Swarms, their feasibility and expansion potential are still in the early stages. Different language frameworks aim to solve different problems in the large-scale adoption of AI, and "mutual collaboration" will also be an unavoidable theme among various frameworks in the future.
Founder Faces Doubts, Token Price Fluctuates
Although the market initially recognized the narrative of $swarms, things did not run smoothly all the time.
On the day the $swarms token exploded, the founder of $ai16z, Shaw @shawmakesmagic, publicly criticized the developer of the Swarms framework @KyeGomezB on Twitter, stating, "I really don't like publicly pointing out others' problems. Doing so poses a huge risk to our project, makes many people nervous, and I don't want to discourage those hardworking developers. But some people steal others' work and try to take credit for it." He referenced a 2023 Reddit post to argue Kye's plagiarism. The article pointed out that a GitHub repo might show signs of stealing others' work, and that repo belongs to Swarms developer Kye.
Shaw's FUD also brought the price of $swarms close to a halving. However, facing this FUD, Swarms founder Kye was also unyielding, responding on Twitter while launching a new token $mcs based on the Swarms framework application Medicalswarm to prove that his framework is not useless but indeed "has something."
Perhaps Kye was not yet familiar with the AI meme play; as the consensus around $swarms had not stabilized and the token price was still on a downward trend, the launch of the new token was directly interpreted by many confused players as the $swarms dev abandoning the project, making $swarms seem unworthy of further investment. Thus, the launch of $mcs did not initially save $swarms but instead caused it to drop further, with its market cap plummeting from a high of $74 million to $6 million, dragging the new token $mcs down with it.
However, the inexperienced Kye realized that his handling might have been inappropriate upon seeing this situation. He quickly started a live stream to announce that he was indeed serious about building and locked up his $swarms tokens for a year during the live stream. Perhaps the founder genuinely wanted to prove himself in the face of various FUD, or perhaps he had guidance from someone behind the scenes, using such actions to gather support during a time of unstable consensus. In any case, this series of actions did wash away many early players, and the market, coming back to its senses, began to buy $swarms again, gradually recovering its market cap to stabilize around $30 million.
Conclusion
As of the time of writing, the price trend of $swarms has gradually stabilized, with a market cap still around $40 million.
The "fast-track script" of $swarms is somewhat similar to $arc; as a token with a technical background, it saw a frenzy of buying in the market after fermentation, quickly reaching a market cap of tens of millions. However, as profit-taking occurs and market understanding and community consensus take time to solidify, such tokens will inevitably experience fluctuations in the early stages.
Whether this project truly has substance as the founder claims will ultimately be determined by the market's choice.
