On January 7th, at CES 2025, Jensen Huang, the founder of NVIDIA, mentioned, “AI Agents may become the next robotics industry,” with a potential market size reaching trillions of dollars. Against this backdrop, the AI Agent ecosystem has witnessed the rise of two dominant framework projects — ai16z and Virtuals Protocol, whose token market caps have surpassed $2.4 billion and $5 billion, respectively. However, just when everyone thought the “factional battle” had been decided, a dark horse quietly emerged — Swarms. In just the past week, Swarms’ market cap has surged from $80 million to a peak of $540 million.

What is Swarms?

Swarms is a multi-agent LLM framework designed for developers. It provides an extensive array of intelligent orchestration architectures and seamless third-party integrations, enabling multiple AI agents to collaborate like a team to solve complex business operation needs. The project starts with foundational payment and technical frameworks, offering a universal infrastructure for creating, collaborating, trading, and hosting agents. The aim is to become the “universal payment layer for the Agent economy.” With Swarms, developers can orchestrate smart, scalable agent ecosystems that automate complex business processes.
Swarms (meaning “group”) was initiated by Kye Gomez in 2024, with the core positioning of “Powering The Agent Economy.” Its vision is to leverage the Solana network to build “trillions of AI agents collaborating seamlessly to solve humanity’s greatest challenges.”

Why Swarms is Needed

Traditional single-agent AI lacks long-term memory, is prone to hallucinations, and most agents can only focus on a single task. Swarms addresses these issues by employing a “multi-agent system” approach, granting AI agents additional capabilities: cross-validation to reduce hallucinations, distributed memory for continuity, specialized task allocation to improve efficiency, and parallel processing to accelerate complex workflows.
In other words, by organizing multiple agents into a “Swarm,” Swarms makes AI systems more stable, intelligent, and scalable. It also fosters easier collaboration and division of labor, with innovations in automation, shared memory, and trustless communication.

How Swarms Works

Swarms Architecture

In Swarms, a “swarm” refers to a group of two or more agents that work collaboratively towards a shared goal. The Swarms architecture is designed to establish and manage communication between the agents in a group. These architectures define how agents interact, share information, and coordinate their actions to achieve the desired outcomes.
The modes of communication between agents include hierarchical communication, parallel communication, sequential communication, grid communication, and cooperative communication.
The Swarms architecture utilizes these communication patterns to ensure efficient collaboration among agents, adapting to the specific requirements of the task at hand. By defining clear communication protocols and interaction models, Swarms can seamlessly coordinate multiple agents to improve performance and problem-solving capabilities.
Swarms architectures can be categorized into the following types based on communication methods:

• Hierarchical Swarm
• Parallel Swarm
• Sequential Swarm
• Round Robin Swarm
• SpreadSheet Swarm
• Mixture of Agents Architecture
  Depending on the task or scenario, Swarms can select the most appropriate architectural type to effectively address the problem.

Agent Analysis

In the Swarms framework, agents are designed to autonomously execute tasks by leveraging large language models (LLMs), various tools, and long-term memory systems.
Agent Component Overview

• LLM: The core component responsible for understanding and generating natural language.
• Tools: External functions and services that agents can call to perform specific tasks, such as querying databases or interacting with APIs.
• Long-Term Memory: Systems like ChromaDB or Pinecone that store and retrieve long-term information, enabling agents to remember past interactions and contexts.
  The workflow of an agent can be broken down into several stages: task initiation, initial LLM processing, tool usage, memory interaction, and final LLM processing.

1. Task Initiation: The input is the task or query the agent needs to address, and the output is a structured plan or approach to handle the task.
2. Initial LLM Processing: The LLM model analyzes the task to understand the context and requirements.
3. Tool Usage: The LLM identifies the action plan or specific sub-tasks and uses available tools to gather external information, returning results.
4. Memory Interaction: The agent interacts with long-term memory systems to store new information and retrieve relevant past data.
5. Final LLM Processing: The LLM utilizes enhanced data to generate the final response or complete the task.
   

Swarms Roadmap

The Swarms team has outlined a five-phase development roadmap:

• Phase 1: Foundation
  • Integrate $swarms Coin into the Swarms Marketplace to support buying and selling of agents.
  • Enhance smart contract security + integrate Phantom wallet.
  • Standardize APIs and optimize user-friendliness.
• Phase 2: Ecosystem Growth
  • Launch Swarms Cloud for decentralized agent hosting.
  • Improve search and analysis tools on the marketplace.
  • Expand the community through grants and partnership programs.
• Phase 3: Swarms Exchange
  • Enable tokenization and investment functions for agents.
  • Use $swarms Coin to support the creation of exclusive tokens for agents.
  • Reward high-performance agents.
• Phase 4: Global Scalability
  • Enable cross-border payments and fiat-to-crypto conversions.
  • Support custom tokens for agents.
  • Extend Swarms into the Agent DeFi financial sector.
• Phase 5: Global Impact
  • Position the $swarms network as the “currency of the global agent economy.”
  • Launch global marketing campaigns.
  • Empower decentralized governance for the community.
  • Host hackathons, seminars, and industry events to accelerate technology adoption.

Swarms Ecosystem Tokens

MSC

MSC is a token created by Swarms founder Kye Gomez, belonging to the AI + DeSci domain. It is used in the “custom medical operation cluster (MCS Platform)” established on the Swarms framework, focusing on healthcare and life sciences. The platform uses multi-agent collaboration to provide medical solutions. Users can receive free diagnostics and analysis of medical and healthcare issues by conversing with MSC. According to Kye Gomez, its API will soon be deployed for one of the largest healthcare providers in the U.S.

SPORES

SPORES is a token issued by Autonomous Spores, with 10% of its tokens transferred to the Swarms DAO. Autonomous Spores plans to develop four AI agents based on the Swarms framework: Saya, Oozeborn, Grassian, and Jaguarundi. These agents will work together to leverage the collective intelligence of the AI agents. Currently, Autonomous Spores plans to share part of the management fees generated by Saya and transaction taxes from Oozeborn with the community, though Grassian and Jaguarundi have not yet launched.

PRISM

Prism is a multi-agent AI system used for real-time search and trading insights on memecoins. It recently transitioned from the ai16z ecosystem to the Swarms ecosystem and may leverage Swarms’ multi-agent collaboration to enhance its memecoin trading features.

IFSCI

IFSCI claims to be the first AI x DeSci Agent project built using Swarms. Its goal is to help users personalize their fasting and dietary plans. Users can participate as food data contributors, health metric providers, or researchers, contributing data such as meal photos and descriptions to X platform and tagging @adesciagent. Users will be rewarded for their contributions.

CREATE

Create is marketed as the ultimate creative engine — an AI platform built on Swarms that generates images or audio from textual prompts. It has released the first open-source dataset created by the community and plans to train and open-source community-driven models once the dataset is large enough.

SWARMS Tokenomics

The total supply of $SWARMS is approximately 1 billion tokens, all of which are currently in circulation, with a circulating supply of 100%. The specific token distribution has not yet been disclosed.
Gate.io Now Supports $SWARMS Spot Trading