The confrontation between ElizaOS and Swarm AI is essentially a battle between the spirit of Web3 and the centralization of AI. While ElizaOS reduces the development threshold through modularity, its underlying capital is quietly organizing control over the network. When Swarm AI raises the banner of collective intelligence, the blackboxing of technology may give rise to new dominance. Perhaps the real answer lies not in the code, but in whether humans can uphold the “agency sovereignty” bottom line.
ElizaOS vs Swarm AI: Who will define the next generation Web3 intelligence standards?
Recently, the crypto industry has been quite turbulent. On one hand, there was the historic theft of Bybit, and on the other hand, web3’s “Yu’ebao” initiative was stolen $50 million. Although the impact on both projects is not too significant, the expectation of stolen funds and recent struggles have caused the market situation to be extremely bad, with the overall market in a state of continuous decline. On the other hand, this is a good time for serious building, exploring new projects, and building positions during the downturn. The biggest narrative of 2024-2025 could be the AI Agent track, and the future nouveau riche is likely to emerge in this field. Today, from a technical perspective, the author will make a simple comparative analysis of two top AI projects to stimulate discussion.
I. Technical Duel: The underlying logic of two disruptive architectures
1. ElizaOS: “Lego-style” expansion with modularization and open source ecology
ElizaOS is based on an open-source modular architecture, allowing developers to freely combine plug-ins (such as TEE privacy computing, multi-chain interaction modules) to build lightweight or enterprise-level AI agents. Its design concept originates from the 1966 MIT ELIZA program’s exploration of basic human-machine interaction, but it has achieved three key breakthroughs through blockchain implementation:
– Pluggable model integration: supports the plug-and-play use of large models such as GPT-4, Claude, and Web3 protocols (such as DeFi contracts and NFT standards).
– Decentralized governance: incentivizes developers to contribute code through the $ELIZA token, and agents in the ecosystem are required to allocate 5% of their income to the framework maintainers.
– Guarantee of perpetuity: smart contracts ensure the permanent execution of agent logic, even if the founding team disappears, it can still be iterated.
Typical case: The AI trading fund AI16ZDAO in the Solana ecosystem is developed based on ElizaOS. Its agent achieves over 300% annualized returns through the integration of data on the oracle chain and TEE privacy strategies.
2. Swarm AI: The “Swarm Revolution” of collective intelligence and collaborative networks
Swarm AI, founded by 20-year-old genius Kye Gomez, redefines the normalization of complex task handling with its multi-agent collaboration framework:
– Swarm nodes: serverless infrastructure that allows 45 million agents to coordinate simultaneously, solving hardware dependency and cost issues.
– Hybrid flow model: combining SSM (State Space Model) and MoE (Mixture of Experts) to achieve superhuman accuracy in scenarios such as medical diagnosis.
– Cross-chain memory library: a shared distributed database for agents, supporting long-term context tracking and cross-task knowledge reuse.
Market performance: Although the token $SWARMS experienced a short-term drop of 35% due to speculative bubbles, its enterprise clients (such as JPMorgan insurance claim automation) have verified the technical feasibility.
II. Market Game: Market value, community, and capital warfare
1. Market value differentiation: Modular lightweight assets vs heavy operational enterprise services