5 of the Best Blockchain Frameworks for AI Agents

bitcoinist发布于2025-04-14更新于2025-04-14

文章摘要

AI agents are everywhere, and yet nowhere to be seen. That’s the trouble with invisible tech: it can be hard...

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AI agents are everywhere, and yet nowhere to be seen. That’s the trouble with invisible tech: it can be hard to spot, just like artificial intelligence itself. That’s the whole point. Rather than imposing on our daily lives, agents are designed to serve as invisible soldiers doing our running, trading, and whatever other tasks they’ve been assigned.

As autonomous software that leverages artificial intelligence, agents can execute tasks with minimal or even zero human intervention. From portfolio management to yield optimization, and from arbitrage opportunities to fraud detection, agents can do anything humans can do – but more reliably and around the clock.

But agents require resources to run, and developers require tooling to deploy and manage them, which is where blockchain agentic frameworks come in. These form the backbone of a thriving agentic ecosystem in which bots swarm across the on-chain landscape, getting their designated job done with the minimum of fuss. The following frameworks supply the tech for all this agent activity to thrive.

0G Labs’ AI L1

0G Labs’ AI Layer 1 blockchain has been optimized for use cases that require vast amounts of data, which increasingly means AI. It provides a decentralized layer that connects service providers and end users, with 0G seeing its framework ideally suited to data retrieval, AI inference, and model training. 

According to 0G, the “next phase of AI evolution will be powered by transparent systems, shared incentives, and on-chain coordination.” Which is why it has developed the layer to enable this sort of innovation to flourish. 0G’s vision entails AI learning occurring as part of a continuous loop that users can observe – yes, we’re talking transparency.

0G’s Compute Network has been designed for decentralized inference, providing a foundation for AI agents to evolve safely, without loss of privacy or giving away proprietary data. It’s confident that it can strike a balance between transparency and privacy to support a wave of adaptive agents that become smarter over time. 

Edison by Fuse

Another blockchain that’s been swift in casting its hat into the agentic ring is Fuse. Best known for powering blockchain payments, it sees value in fostering the first agent in Edison that simplifies dapp creation for businesses. As a result, enterprises can quickly create powerful on-chain applications that support use cases such as payments, with little or even no coding required.

Edison forms a human-readable interface that users can type prompts into. Edison’s AI will then act upon their requests to create dapps and other on-chain products that are instantly deployed. As a conversational assistant, Edison makes web3 development available to anyone. In addition to payment solutions, businesses can use Edison to create their own AI agent, capable of performing tasks such as token distribution, without needing to get bogged down in blockchain coding.

elizaOS

elizaOS is an operating system and framework for autonomous AI agents. It makes it easy for developers to create and manage their own autonomous agents. Developed using TypeScript, elizaOS forms a composable platform for deploying intelligent agents that are capable of interacting across multiple platforms, all while maintaining consistent personalities and knowledge.

As open-source software, elizaOS has been forked thousands of times, making it web3’s favorite agentic framework. As a community-run project, anyone can contribute and anyone can build using elizaOS. The only downside, from a developer perspective, is that this community-centric design makes elizaOS less user-friendly than solutions created by a dedicated software company. 

Still, elizaOS is working proof that agents are alive and kicking in crypto, with its own Twitter agent showcasing the sort of autonomous use cases its tech stack supports. The one that got the onchain agent ball rolling, elizaOS remains hugely influential.

GAME Framework by Virtuals Protocol 

Virtuals Protocol bills itself as “the Wall Street for AI Agents,” making it easy for anyone to create their own agent. It’s focused on tokenized agents, with an accompanying character that serves as the “face” of the agent performing the tasks it’s been assigned.

GAME is the modular agentic framework Virtuals has developed that allows agents to plan actions and make autonomous decisions. All of the agent’s thinking and processing is handled by GAME, which serves as the brain for all the AI agents launched using Virtuals. GAME Cloud, a hosted low-code service, is the best way to access all of this firepower, but there’s also an SDK for more experienced devs.

The range of tasks that virtuals created using GAME can perform is virtually unlimited. They can execute on-chain transactions, generate images, engage on social media, and be integrated into existing dapps and games as intelligent assistants. 

ARC

ARC is an AI rig complex, which basically means supplying all the infrastructure and tooling for AI agents to flourish across the omnichain ecosystem. At the core of its web3 products is ryzome, an agentic app store, that allows users to search for the task they’re seeking assistance with and find an agent that can take care of it for them.

ryzome aggregates AI agents, tools, and services, providing a searchable database of everything that’s built within the growing ARC ecosystem. Set to go live with more than 20 integrated services straight out of the box, including a DeFAI toolkit; visual intelligence that lets agents view trading terminals; and a solution for giving agents human-like personalities, ryzome is ARC’s gateway to the many opportunities that now exist on-chain through the explosion in AI agents.

Find Your Framework, Train Your Agent

Web3 is the ultimate environment for hosting AI agents. Permissionless, transparent, and fully decentralized, it’s the perfect playground for agentic experimentation, the limits of which have yet to be discovered. The incorporation of tokenization adds a vital incentive layer to agents, ensuring that agents and users are economically aligned.

Supported by dedicated blockchain frameworks, AI agents are reshaping decentralized systems by automating tasks and creating new economic models. Frameworks like 0G’s Layer 1, Edison by Fuse, elizaOS, GAME by Virtuals Protocol, and ARC provide the tools for this revolution to gather speed, catering everything from DeFi to gaming. Pick your perfect agentic framework then leverage this technology to create your ideal AI agent.

Image by Gerd Altmann from Pixabay

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