Original | Odaily (@OdailyChina)
Author | Golem (@web3_golem)
In the first week of 2025, the AI Agent track continued to surge, with the two major ecosystems ai16z and Virtual reaching market capitalizations of $2 billion and $5 billion respectively, setting new historical highs.
AI innovation is still emerging. Just as people thought the "factional dispute" over the AI Agent infrastructure had been settled, and that all AI agents would need to "kowtow to the bosses" in these two major ecosystems, a dark horse - Swarms - broke through. Over the past week, the Swarms token has surged over 768%, with its market cap reaching a high of $440 million; Swarms also has over 2800 stars on GitHub.
Swarms is a multi-agent collaboration framework, the core of which is to provide the "framework" component and functions such as long-term memory and task decomposition, helping multiple AI agents to collaborate seamlessly within the same network to decompose and process complex tasks. Swarms is also actively promoting the development of ecosystem projects, and as the multi-agent collaboration ecosystem becomes richer, the still early Swarms ecosystem may still contain Alpha opportunities. Odaily will briefly introduce the Swarms ecosystem projects and the progress of Swarms itself.
Ecosystem Project Introduction
MCS
Market Cap: $25 million
Holding Addresses: 3889
Token Contract: ALHFgnXSenUv17GMdf3dL9gtFW2KKQTz9avpM2Wypump
mcs was created by Swarms founder Kye Gomez, and the official Twitter link for mcs has been posted on his personal profile, indicating official endorsement. mcs is a production-grade multi-agent system built on Swarms for medical diagnosis and coding, allowing users to freely diagnose and analyze medical and healthcare-related issues through dialogue with mcs. According to data disclosed by Kye Gomez, mcs had over 6,000 daily active users in the past 2 days, and its API is about to be put into production for one of the largest medical suppliers in the US.
SPORES
Market Cap: $9.4 million
Holding Addresses: 5347
Token Contract: H1koD28XAHg2vuGp7XggehBCR4zP6r6k6EQ3MR6j3kU2
spores is the token issued by Autonomous Spores, which has transferred 10% of the tokens to the swarms DAO. Autonomous Spores plans to develop four AI agents based on the Swarms framework:
The first agent is Saya, an AI agent fund manager built on Swarms Intelligence, which will manage a series of AI agent risk funds, and has honed its decision-making ability through a large amount of trading data in the trading system, with the first fund about to be launched;
The second agent is Oozeborn, which is inspired by Clanker on Base, and simplifies the process for users to launch tokens and create AI agents on Twitter by commenting or tagging #Oozeborn on posts;
The third agent is Grassian, which is an AI agent for data analysis based on Swarms algorithms, focusing on identifying early alpha bloggers on Twitter and scoring them to provide insights into the ecosystem, and Grassian is also an important information source for Saya's trading decisions.
The fourth agent is Jaguarundi, which is a risk assessment AI agent, evaluating the risks in the trading system to provide security guarantees for Saya, and also running an insurance fund to mitigate overall trading system losses.
Through the collaboration of these four AI agents, Autonomous Spores aims to leverage the collective intelligence of AI agents. Autonomous Spores has planned to share a portion of the management fees generated by Saya and the transaction fees generated by Oozeborn with the community. However, Grassian and Jaguarundi have not yet been launched.
CREATE
Market Cap: $8.8 million
Holding Addresses: 4528
Token Contract: 92crE7qiX5T7VtiXhCeagfo1E81UtyguiXM7qCi7pump
create claims to be the ultimate creative engine, which is actually an AI platform based on Swarm that generates images or audio based on text prompts.
IFSCI
Market Cap: $3.5 million
Holding Addresses: 1177
Token Contract: RqGHXg2eh3zPjyzNM7kUyrrSmhb9M9q4mCKFH1mpump
IFSCI claims to be the first vertical AI x DeSci Agent project built using Swarms, aiming to help users personalize their fasting and meal plans. Users can participate in the AI as food data contributors, health indicator providers, or researchers, and as data providers, users only need to post their meal photos and corresponding descriptions on the X platform and @adesciagent to receive rewards.
According to the official roadmap, IFSCI will launch a fully functional app in Q3 2025 and expand its scientific research globally.
Swarms Ecosystem Development Progress
The thriving AI Agent framework projects are similar to the prosperous period of Ethereum L2 in the early days. Although the technologies and models are different, the most intuitive way for users to judge the pros and cons is to look at the prosperity of the ecosystem. As a multi-agent collaboration framework, Swarms needs a thriving agent ecosystem to a certain extent to "validate" its own value, and compared to ecosystems like ai16z and Virtuals, although Swarms started later, it is currently making efforts to build its ecosystem.
Today, the Swarms Official Twitter posted to recruit ecosystem project partners and provide technical, marketing and agent infrastructure support, and also set aside 10 million Swarms tokens (worth $3.38 million) as an ecosystem fund. Swarms founder Kye Gomez also said he will "personally meet and support all of our partner projects, providing technical assistance, marketing guidance and more".
Kye Gomez also announced today that the Swarms Marketplace will soon launch new features, including:
Seamless creation and upload: Seamlessly create agents, tools and groups, and then upload them directly to the marketplace;
Paywall integration: List agents for sale at a certain price to monetize the developer's creations and allow others to purchase them;
Swarms token integration: Use Phantom to purchase and sell agents through Swarms tokens to simplify transactions;
Swarms Auto-Cloud: Start Swarm API in the cloud with just one prompt;
Agent quality rewards: Receive Swarms tokens for publishing high-quality agents, using advanced frameworks for evaluation;
Real-time chat and API: Provide real-time interaction and API functionality for each agent, group, tool and prompt;
Usage tracking: Use detailed tracking tools to monitor the real-time usage of agents.
