$Swarms is backed by a 20-year-old founder, Kye Gomez, hailed as a genius in artificial intelligence—how did he grow from a dropout to a pioneer leading the AI multi-agent framework? How did this project gradually rise from obscurity to become a popular track in Web3? The following content will take you deep into the entire history and investment potential of $Swarms.
Kye Gomez is a legendary artificial intelligence developer. Despite dropping out of high school, he spent three years developing Swarms—a framework focused on autonomous collaborative AI agents—successfully running 45 million AI agents to serve multiple industries:
Technical highlights: SSM + MoE model and mixed flow model, ensuring operational efficiency and task execution capability.
Multi-domain practice: In addition to Swarms, he has also participated in several cutting-edge projects:
Agora: An open-source laboratory combining AI with biology and nanotechnology.
Pegasus: Focused on natural language processing and embedding models.
AlphaFold3: An open-source tool to aid biological research.
Conclusion: Kye Gomez is not a traditional Web3 entrepreneur, but a pioneer in AI with both engineering spirit and technical strength, providing strong backing for the long-term development of $Swarms.
II. Historical Phases: Three Major Development Milestones of $Swarms
$Swarms' development can be divided into three phases, from calm periods to trial markets to explosive growth, with each phase corresponding to different operational strategies and market behaviors.
Phase One: Calm Period (April 30, 2023—December 30, 2023)
In the early stages, $Swarms resembled a Web2 AI startup, with little connection to Crypto.
Timeline:
April 30: $Swarms published its first tweet: "This is a world of collectives."
May 5: Announced collaboration with Google Cloud, demonstrating strength (Google Cloud services public PR costs up to hundreds of thousands of dollars).
July 17: Launched recruitment, starting to expand the team.
December 9: Announced user subscriptions surpassed 1,000.
Phase Characteristics:
The core content of the project revolves around AI agent popularization and technological applications.
Activity Forms: Recruitment, offline popular science events, technical demonstrations.
Influence: Initially accumulated recognition within the tech circle, but no direct contact with the Web3 circle yet.
Phase Two: Trial Market Stretch (December 30, 2023—January 1, 2024)
During this phase, $Swarms began transitioning, establishing connections with the Crypto community, and attempting to ignite market heat.
Timeline:
December 20: Officially released the CA (contract address) for the first time, generating 160,000 views and sparking heated discussions.
December 21: Launched the Swarms market and product use cases, emphasizing the technological vision of "driving human progress."
December 30: Founder Kye Gomez began actively promoting the practical use cases of AI agents, attracting attention from the Crypto circle.
December 31: Release of a thank-you letter, showcasing the team's long-term vision:
"In 2024, we will focus on achieving comprehensive automation of the global economy, unlocking a true post-scarcity civilization."
Phase Characteristics:
Transformation period from technology to market: Gradually integrating into the Crypto community.
Initial popularity: Multiple tweets exceeded 100,000 views.
Team lock-up commitment: Founders emphasized a one-year lock-up of team tokens, increasing market confidence.
Phase Three: Explosive Growth Period (January 2, 2024—Present)
During this phase, the technological advantages of $Swarms combined with market promotion became a hot topic in Web3.
Timeline:
January 2: Launch of the contributor rewards dashboard to further stimulate community engagement.
January 3: Release of the MultiAgentRouter technology, clarifying the project's technical framework.
January 4: Release of the complete white paper and roadmap, with views exceeding 100,000.
Phase Characteristics:
Integration of technology and promotion: Strengthening trust through high-quality white papers and roadmaps.
Market sentiment surging: Rapid increase in price and trading volume, constant discussion in the Crypto circle.
III. Why is $Swarms worth paying attention to?
Combining project technology, team background, and market performance, $Swarms demonstrates unique investment value:
Technical Aspect: Unique AI agent framework
Innovative Technology: $Swarms is the first multi-agent framework, filling a technological gap in Web3 scenarios.
Practical application scenarios: Fields such as finance, insurance, and healthcare can directly benefit from the Swarms agent system.
Team Aspect: Strong founding background
Kye Gomez's technical background and entrepreneurial spirit laid a credible foundation for the project.
The process of transitioning the project from Web2 to Web3 demonstrated the team's flexible market adaptability.
Market Aspect: Three-Phase Pumping Rhythm
Precise rhythm control between trial market and explosive growth phases, strong grasp of market sentiment by the team.
Contract lock-up and GitHub community operations running in parallel, demonstrating long-term planning and transparent operations.
IV. Investment Tips: How to seize the opportunity with $Swarms?
Short-term strategy: Focus on technology updates and market dynamics
Key nodes in the roadmap: Closely monitor $Swarms' next development progress and community incentive measures.
Market sentiment fluctuations: Finding suitable entry points based on the characteristics of the pump phase.
Long-term Strategy: Assessing the practical application landing
Project landing capability: Assessing $Swarms' continuous performance in the AI application field.
Web3 ecosystem integration: Observing whether it can find deep application scenarios in areas like DeFi and NFTs.
Summary: Behind $Swarms is a journey from Web2 to Web3, a technical ambition of a genius young man, and an experiment on the combination of AI and blockchain. Understanding its history is key to better grasping its future.