AI Sector Shines on Election Day: A Look at 37 AI Agent Projects

11/12/2024, 3:49:33 AM
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AI
With election results now finalized and a long crypto bull market on the horizon, this brief lull in meme sentiment presents a strategic moment to explore and establish positions in AI agent concept projects—an appealing alternative to chasing overbought assets. This article compiles insights into several promising AI agent projects worth watching, including four main categories: infrastructure and development, finance and payments, creativity and entertainment, and social interaction.

With Trump’s victory, the crypto market is welcoming its long-anticipated “crypto president,” and the entire sector is buzzing with excitement over the “crypto win.” BTC has followed suit, breaking through $75,000 to hit a new all-time high.

However, meme coins, often eager to follow trends, have been relatively flat, aside from a few election-themed memes. Even these started to decline as election results settled, contrasting sharply with BTC’s new high.

Yet, regardless of the market’s movement, promising assets continue to grow steadily across various areas. For instance, the recent Solana AI meme trend drove attention to on-chain AI agent projects. Virtuals.io in the Base ecosystem, with its token $VIRTUAL, and its AI agent token $LUNA, both broke $250 million in market cap despite Base not being a major trend focus. This highlights the potential of AI agent assets.

Now, with the election results confirmed and the crypto bull run on the horizon, this brief lull in meme hype might be an ideal time to explore and position in AI agent concept projects rather than chase peak assets. TechFlow has compiled a list of AI agent projects to share with readers.

1. Infrastructure and Development Tools (17 Projects)

Infrastructure and development tools make up a significant portion, with 17 projects. These foundational projects provide essential support for higher-level applications, covering areas from agent creation platforms to computing infrastructure and development tools. They build a full tech stack.

A. Agent Creation Platforms (5 Projects)

  • Virtuals.io: Tokenized platform for creating and co-owning on-chain AI agents; currently a leading AI project within the Base ecosystem.
  • @KevinLeffew1/Based-Agent?v=1">Based Agent: Platform for creating fully on-chain functional AI agents.
  • Creator.bid: Launchpad for creating and tokenizing AI agents.
  • Olas Network: Platform enabling collective ownership of on-chain AI agents.
  • Basegod.fun: AI agent system that incorporates elements of religious culture.

B. Computing and Data Infrastructure (7 Projects)

  • Atoma Network: Decentralized, scalable, permissionless AI computing resource network.
  • Covalent: Modular data infrastructure focused on AI verifiability.
  • SubQuery Network: Allows users to securely build, deploy, and run AI applications in a decentralized environment.
  • NVG 8.io: Data marketplace enabling users to safely share their data for AI training, benefiting both data providers and AI model trainers.
  • Masa.ai: Decentralized AI network platform with token incentives for data contributors in AI training.
  • Flock.io: Distributed AI training platform that modularizes resources like computing power, algorithms, and data, building a collaborative ecosystem.
  • cryptopond.xyz: Graph neural network-based crypto prediction platform that uses extensive on-chain data analysis to provide crypto behavior forecasts, graph classification, and generation; recently partnered with 0G.

C. Systems and Tools (5 Projects)

  • Nani.ooo : Operating system designed for on-chain AI agents and crypto automation, providing foundational infrastructure for blockchain operations and automated trading.
  • Wayfinder.ai: AI navigation tool optimized for blockchain environments, utilizing smart contract indexing to guide users and AI agents through blockchain interaction paths.
  • GaiaNet.ai: Decentralized AI knowledge system platform that incentivizes participants to build independent AI knowledge systems to address data bias in centralized AI models.
  • BrianKnows: Non-custodial AI assistant enabling users to perform Web3 transactions, search resources, and retrieve on-chain data through natural language prompts. It simplifies blockchain interactions.
  • Gizatech.xyz: Platform providing actionable AI solutions for the Web3 ecosystem. It launched “AI Actions” in January 2024 to build verifiable machine learning solutions for blockchain protocols.

2. Finance and Payments (10 Projects)

Beyond foundational infrastructure, finance and payments are key areas in the development of AI concepts, with DeFi applications playing a significant role. Major institutions like Coinbase are also actively involved in developing projects like AI wallets.

A. Wallets and Payment Systems (4 Projects)

  • @KevinLeffew1/Based-Agent?v=1">AI Wallets (Coinbase) : An AI-enabled crypto wallet solution launched through Coinbase’s developer platform. It is designed to provide AI agents with the capability for asset management and value transfer.
  • PaymanAI: An API platform that enables AI agents to handle payment management, allowing for transactions with human users and the use of payment incentives to gather product feedback.
  • Skyfire.xyz: A financial infrastructure platform designed for the machine economy, offering solutions for payments, monetization, and identity to enable AI agents to participate in economic activities and create value.
  • QuestFlow.ai: An innovative decentralized platform that allows AI agents to perform tasks independently and earn rewards using a multi-agent orchestration (MAO) system and on-chain incentives.

B. DeFi Applications (6 Projects)

  • Empyreal SDK: An SDK providing smart infrastructure for DeFi protocols. It integrates AI agents, real-time data flows, and account abstraction to enable automated yield optimization and smart trade execution.
  • Aperture Finance: An intent-based DeFi protocol with an AI-driven liquidity management system that lets users express investment intentions in natural language, automating complex DeFi operations.
  • Spectral Labs: A decentralized platform allowing users to create AI trading agents with autonomous wallet and data subscription capabilities. These agents can conduct cross-chain operations and leverage trading, thus achieving fully automated trading strategies.
  • Velvet Capital: A DeFi platform with an intent-based operating system that uses AI-driven intent execution for seamless on-chain portfolio management and includes social trading features for following and copying other traders’ strategies.
  • Zotto.ai: An intent-driven intelligent agent hub integrated with a perpetual contract exchange, enabling AI agents to automate trading strategies, position management, governance voting, and reward collection with up to 25x leverage; it ensures security using account abstraction.
  • Funl.ai: The first fully on-chain DeFi trading automation platform. It allows users to deploy AI trading agents via a Telegram interface, and supports multi-strategy automated trading; its integration with Orderly Network simplifies cross-chain trading.

3. Creativity and Entertainment (6 Projects)

The creativity and entertainment sector showcases the potential for AI agents in content creation and gaming. It explores ways to merge AI capabilities with creative industries. Platforms like Virtuals.io are pioneering new ecosystems for creative production.

A. Creation Platforms (3 Projects)

  • Aethernet: An autonomous content creation AI agent running on the Farcaster platform and the first to achieve autonomous content creation on Hypersub. It illustrates the potential of AI agents as novel on-chain primitives.
  • Binary (Coinbase Collaboration): A creator economy platform combining AI and blockchain technology. It aims to revolutionize the global creator economy using Base and Coinbase’s infrastructure.
  • Titles: An AI agent project for artists, designed for on-chain creation, operation, and monetization. Developed through crowdfunding, it uses a customized LLM model with access to complete on-chain publishing, distribution, and monetization tools. Its learning process is reinforced by on-chain data. It aims to explore how AI agents can innovate art creation and business models.

B. Gaming and Entertainment (3 Projects)

  • Luna (By Virutals Protocol): An AI agent on the Virtuals.io platform and the first AI persona with its own on-chain wallet, and digital idols that can be freely traded on platforms like X and TikTok and attract audiences.
  • Henlokart: An innovative racing game originally launched on the Farcaster Frame and now expanded to Telegram, where AI agents participate in races through user interactions, thus training AI agents via transaction behaviors.
  • Gaias.xyz: A platform for creating, training, and deploying open-source decentralized AI agents as NFTs. These agents, called GAIAs, are trained through a distributed system to achieve decentralized distribution via AI.

4. Social and Interaction (4 Projects)

  • Raiinmaker: A decentralized AI ecosystem featuring an AI reputation system and token rewards. It allows users to earn by participating in AI model training; currently, it is available on the Solana Mobile dApp Store with over 1.5 million users.
  • Allora Network: A community-driven decentralized intelligence network that transforms traditional black-box AI systems into an open network using cryptographic primitives. It coordinates the development of machine intelligence in a decentralized way.
  • Theoriq.ai: An on-chain multi-agent system protocol combining AI and blockchain. It allows users to build, deploy, and profit from AI agents while ensuring decentralization through community governance.
  • MagnetLabs: An innovative blockchain interaction platform with an AI-driven chat interface. It enables intent-based blockchain operations where users can interact with the blockchain using natural language.

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  1. This article is reprinted from [Odaily)]. All copyrights belong to the original author [TechFlow]. If there are objections to this reprint, please contact the Gate Learn team, and they will handle it promptly.
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