GuShiio.com “Battle for AI Frameworks”(Source: Decentralized. co) The AI agent framework simplifies the development process by providing ready-made components (such as inference loops, memory mechanisms, tool integration), allowing developers to focus on the unique functions of the agent rather than repeatedly building basic functions. Although traditional Web2 frameworks (such as LangChain, CrewAI, and AutoGen) are relatively mature, they lack native integration with blockchain and cannot meet the needs of the crypto ecosystem. There are still reasons for the existence of the encrypted native AI agent framework: first, the need for on-chain financial agents. In the future, financial transactions will mainly run on the blockchain. AI agents need to analyze on-chain data, execute transactions, and manage digital assets; second, native Coordination and incentives, blockchain provides a recording system and financial instruments (such as pledges and reward pools) that minimize trust, which can enhance multi-agent collaboration and incentives; The third is opportunities in the early market. The AI agency field is still in its infancy. Cryptoeconomic incentives provide new possibilities for the construction, governance and monetization of frameworks. Finally, the article analyzes five major cryptographic native AI proxy frameworks (ElizaOS, Rig, Daydreams, Pippin, ZerePy) and evaluates the frameworks from three dimensions (core, functionality, and developer experience). These AI proxy frameworks are only a few months old, but during this time they have gone from extremely hyped to being called fantasy software. Still, we think this area is a novel experiment in cryptocurrencies that is both interesting and will continue to exist. The next important thing is how these frameworks mature from a technical and monetary perspective.
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