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The interest in artificial intelligence technologies continues to surge. In 2024 alone, AI-related startups attracted around $100 billion in venture capital, representing an 80% increase from the previous year. This growth underscores the confidence investors have in the future of AI and its transformative potential across industries.
The crypto space has not been left behind. As blockchain and AI begin to merge, a new wave of innovation is taking shape — AI-powered crypto projects. To keep up with the trend, it is important to stay updated on the best AI crypto projects in 2025.
In this article you will learn:
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What are AI agents and how they are used
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What’s the power of AI agents in crypto
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Why crypto AI agents are on the rise
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10 AI agent projects worth attention
So, let’s break it down.
AI Agents Explained
An AI agent is a smart assistant that can make decisions and do tasks on its own. It looks at what’s happening around it, figures out what to do, and then takes action to reach a goal. But at the heart of it, AI agents are tools that use artificial intelligence to get things done with little or no human help.
These tools are used in many areas. For example, in customer service, AI agents can chat with people and help them solve problems. In finance, they can help decide when to buy or sell stocks. In healthcare, they might help doctors find the right treatment for a patient. Some AI agents even control robots or self-driving cars, helping them move around and avoid obstacles.
How AI Agents Empower Crypto
In crypto, AI agents are used to make things smarter, faster, and more efficient.
They can analyze huge amounts of market data to spot trends and make trading decisions. They form training systems capable of buying or selling crypto automatically based on certain rules or AI predictions. An example of such a trading system is Codename:Pepe.
Some AI agents help with security. They watch blockchain activity to detect scams, hacks, or suspicious behavior. There are also AI agents, such as PAAL AI, that help users interact with DeFi platforms and even develop their own bots or crypto.
So, in crypto, AI agents are like smart helpers that automate trading, improve security, assist with DeFi, and even help run decentralized communities.
Why Crypto AI Agents Grow Popular
Crypto AI agents are popular and the prices of these projects often go up because they tap into two powerful trends at once: artificial intelligence and cryptocurrency.
Many of these projects launch with low prices and strong communities. Early investors hope to get in before the project gains mainstream attention. As the hype grows, more people buy in, and the price often rises quickly.
The rise in popularity and valuation of AI-focused cryptocurrency projects is supported by several points:
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Market Performance of AI Tokens: AI-related tokens have experienced significant growth lately. The market capitalization of this segment rose from $23 billion in mid-2024 to $50.5 billion by early February 2025.
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Investor Interest and Funding: The sector has attracted substantial investments. For instance, Humanity Protocol, specializing in identity verification through AI, reached a valuation of $1.1 billion after raising $20 million in a funding round co-led by Pantera Capital and Jump Crypto.
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Integration of AI in Crypto Projects: The convergence of AI and blockchain technologies has led to innovative applications across various sectors, including decentralized finance (DeFi), data storage, and cloud computing. This synergy has contributed to the appreciation of AI crypto projects, particularly in the first quarter of 2025.
So the popularity comes from real use cases, high potential, and innovative nature of the AI-crypto synergy.
Top 10 AI Crypto Agents to Watch in 2025
Project
Token Price
Market Cap
Key Features
Codename:Pepe (AGNT)
$0.011904
$1,614,423
An AI-focused crypto project developing a fully automated trading ecosystem for meme coins featuring an AI-driven trader, algorithmic auto-trading, and custom strategies.
The Graph (GRT)
$0.107690
$1,052,687,933
An open-source protocol for indexing and querying data from blockchains, enabling developers to efficiently access blockchain data for decentralized applications (dApps).
Artificial Superintelligence Alliance (FET)
$0.5726
$1,490,803,833
The alliance of AI and blockchain projects that build a decentralized infrastructure to accelerate the development of Artificial Superintelligence (ASI)
Render Network (RENDER)
$4.17
$2,160,292,047
A GPU rendering platform that connects artists and studios with GPU owners, facilitating the rendering of complex 3D graphics and visual effects.
Bittensor (TAO)
$269.14
$2,281,650,273
A machine learning network that enables participants to train models collaboratively and earn rewards in TAO tokens for their contributions.
NEAR Protocol (NEAR)
$3.04
$3,640,897,107
A scalable, developer-friendly blockchain designed to support decentralized applications, with a focus on usability and performance.
Numeraire (NMR)
$9.17
$73,199,570
A hedge fund that crowdsources predictive models from data scientists worldwide, using encrypted data to build machine learning models for stock market predictions.
Cortex (CTXC)
$0.1527
$34,854,101
An AI-based platform that allows users to upload and execute AI models on the blockchain, enabling AI-powered dApps and smart contracts.
Velas (VLX)
$0.004698
$12,673,023
An AI-enhanced blockchain platform that combines the security of Bitcoin and the speed of Solana, aiming to improve scalability and transaction throughput.
PAAL AI (PAAL)
$0.1387
$124,708,579
An AI and ML powered chatbot designed to optimize tasks that typically demand human intelligence, including natural language understanding, image recognition, decision-making, and problem-solving.
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Codename:Pepe (AGNT)
Codename:Pepe (AGNT) is an emerging project that aims to streamline crypto trading through artificial intelligence. The platform is developing an AI-driven trading system capable of executing trades based on real-time market signals. Users will have access to algorithmic auto-trading and customizable strategies, enabling both novice and experienced traders to optimize their trading approaches.
Additionally, Codename:Pepe plans to establish a decentralized autonomous organization (DAO) where $AGNT token holders can participate in investment decisions, access exclusive analytics, and vote on new projects launched through the AI-powered launchpad. A mutual DAO fund is also envisioned to share profits among stakers, fostering long-term community incentives.
As of the latest update, Codename:Pepe is in the 13th round of its 28-round presale, having raised over $1.6 million. This significant fundraising reflects strong investor interest and confidence in the project’s vision.
Pros:
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Innovative Concept: Combines AI technology with the dynamic meme coin market, offering a novel trading solution.
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Community Involvement: The DAO structure empowers token holders to influence project developments and investment strategies.
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Early Investment Opportunity: The ongoing presale allows early adopters to engage with the project at its foundational stage.
Cons:
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Development Stage: The platform is still under development, with key features yet to be launched, posing execution risks.
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Market Volatility: Focus on meme coins exposes the project to the high volatility and speculative nature of such assets.
Learn more about Codename:Pepe (AGNT)
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The Graph (GRT)
The Graph (GRT) is a decentralized indexing protocol designed to organize and query data from blockchains efficiently. It enables developers to build and publish open APIs, known as subgraphs, that applications can query using GraphQL. This functionality allows decentralized applications (dApps) to retrieve blockchain data quickly and reliably without relying on centralized servers. The Graph supports indexing data from networks like Ethereum, making it a foundational tool for many dApps in the decentralized finance (DeFi) and Web3 ecosystems.
Pros:
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Essential Infrastructure: Provides critical data indexing and querying capabilities for dApps, enhancing their performance and usability.
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Wide Adoption: Integrated by numerous projects across various blockchain networks, indicating strong industry acceptance.
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Open-Source and Decentralized: Fosters a collaborative environment where developers can contribute and access subgraphs freely.
Cons:
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Complexity for New Developers: Requires understanding of GraphQL and subgraph development, which may have a learning curve.
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Dependence on Network Performance: The efficiency of data retrieval can be affected by the performance of the underlying blockchain networks.
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Artificial Superintelligence Alliance (FET)
The Artificial Superintelligence Alliance (FET) is a collaborative initiative formed by the merger of Fetch.ai, SingularityNET, and Ocean Protocol. This alliance aims to create a decentralized, open-source network dedicated to the development of Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). By pooling resources and expertise, the alliance seeks to democratize AI development, ensuring that advancements are accessible and beneficial to all, rather than controlled by a few centralized entities.
Pros:
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Collaborative Synergy: Combines the strengths of three established AI and blockchain projects, fostering innovation and resource sharing.
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Decentralized AI Development: Promotes an open and transparent approach to AI research, reducing the risk of monopolization.
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Visionary Goals: Focuses on the long-term objective of developing AGI and ASI, positioning itself at the forefront of AI evolution.
Cons:
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Ambitious Scope: The goal of achieving AGI and ASI is highly ambitious and may face significant technical and ethical challenges.
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Integration Challenges: Merging different platforms and technologies can be complex and may encounter interoperability issues.
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Render Network (RENDER)
Render Network is a decentralized platform that leverages idle GPU computing power to facilitate high-performance rendering tasks. It connects artists, designers, and developers with GPU owners, enabling the efficient rendering of complex 3D graphics, visual effects, and virtual reality content. By utilizing a distributed network of GPUs, Render Network offers a cost-effective and scalable solution for rendering needs, democratizing access to high-end computational resources.
Pros:
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Cost Efficiency: Reduces rendering costs by utilizing underused GPU resources, making high-quality rendering more accessible.
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Scalability: Offers near-limitless rendering capacity by tapping into a global network of GPUs.
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Support for Creatives: Empowers artists and developers by providing the computational power necessary for complex projects.
Cons:
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Reliability Concerns: Dependence on a decentralized network may lead to variability in service quality and availability.
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Adoption Hurdles: Requires building trust and awareness among potential users to shift from traditional centralized rendering services.
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Bittensor (TAO)
Bittensor is an open-source protocol designed to create a decentralized, blockchain-based machine learning network. It enables participants to contribute computational resources and machine learning models, forming a collaborative intelligence market. Contributors are rewarded with TAO tokens based on the value and performance of their contributions. The network aims to democratize AI development, allowing for the creation and exchange of machine learning models in a trustless environment.
Pros:
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Decentralized AI Marketplace: Facilitates the sharing and monetization of machine learning models without centralized control.
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Open Participation and Incentives: Developers are rewarded with TAO tokens based on the value their models bring to the network. This incentivizes quality contributions and creates a merit-based AI economy.
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Strong Community and Developer Interest: The project has attracted attention from builders in both the blockchain and AI spaces. Its unique vision has led to rapid growth and a loyal following.
Cons:
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Technical Complexity: Understanding and interacting with Bittensor requires significant knowledge of machine learning, blockchain, and networking—limiting its accessibility to a niche group of developers and users.
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High Barrier to Entry: Running a validator or contributing high-quality AI models requires substantial computational resources, which may limit decentralization in practice.
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Uncertain Real-World Adoption: While the vision is compelling, it’s still early in terms of widespread integration with consumer-facing apps or business use cases.
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NEAR Protocol (NEAR)
NEAR Protocol is a layer-one blockchain designed to provide a user-friendly and scalable platform for decentralized applications (dApps). It employs a sharded, proof-of-stake architecture that enhances transaction throughput and reduces latency, making it suitable for high-performance applications. Developers can build smart contracts using languages like Rust and JavaScript, facilitating a broader range of development expertise.
Pros:
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Scalability: Capable of handling a high volume of transactions per second, accommodating growing dApp usage.
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Usability: Focuses on a seamless user experience with features like human-readable account names and predictable transaction fees.
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Active Ecosystem: Hosts a diverse range of applications and has an expanding network of developers and users.
Cons:
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Competition: Faces strong competition from other layer-one blockchains like Ethereum and Solana, which have established ecosystems.
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Adoption: While growing, it still needs to attract more flagship projects to increase mainstream recognition.
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Numeraire (NMR)
Numeraire is an Ethereum-based token that powers Numerai, a San Francisco-based hedge fund utilizing artificial intelligence and data science for equity trading. Numerai hosts data science tournaments where participants develop predictive models for financial markets. Contributors stake NMR tokens on their models, and successful predictions are rewarded accordingly.
Pros:
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Innovative Approach: Combines AI, data science, and blockchain to create a novel hedge fund model.
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Community Engagement: Leverages collective intelligence, potentially leading to more accurate market predictions.
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Transparency: Blockchain integration ensures transparency in staking and reward distribution.
Cons:
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Niche Focus: Primarily appeals to data scientists and may be less accessible to general investors.
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Market Dependency: Success is tied to the performance of the predictive models in actual market conditions.
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Cortex (CTXC)
Cortex is a public blockchain infrastructure that supports the execution of AI algorithms and AI-powered decentralized applications (dApps). It allows developers to upload AI models onto the blockchain and incorporate them into smart contracts, enabling on-chain AI inference.
Pros:
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Pioneering Concept: Brings AI capabilities to the blockchain, expanding the potential use cases for dApps.
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Monetization Opportunities: Allows AI developers to earn rewards for their contributions.
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Enhanced dApp Functionality: Enables more sophisticated and intelligent decentralized applications.
Cons:
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Early Stage: As an emerging technology, it may face challenges related to adoption and technical refinement.
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Resource Intensive: Executing AI models on-chain can be computationally demanding, potentially impacting performance.
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Velas (VLX)
Velas is a blockchain platform that combines the security and compatibility of the Ethereum Virtual Machine (EVM) with the high-performance capabilities of the Solana blockchain codebase. It aims to provide a scalable and efficient environment for dApps, utilizing its Artificial Intuition Delegated Proof of Stake (AIDPoS) consensus mechanism.
Pros:
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Scalability: Designed to handle extensive transaction volumes, suitable for enterprise-level applications.
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Interoperability: EVM compatibility allows for seamless migration of Ethereum dApps to Velas.
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Energy Efficiency: Utilizes a consensus mechanism that is more environmentally friendly compared to traditional Proof of Work systems.
Cons:
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Market Presence: Faces the challenge of establishing a strong foothold in a competitive blockchain landscape.
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PAAL AI (PAAL)
PAAL AI is an advanced artificial intelligence platform that enables users to create and integrate personalized AI-driven bots and assistants across various platforms, including Telegram, Discord, and custom applications. By leveraging cutting-edge AI and machine learning technologies, PAAL AI aims to democratize access to sophisticated AI tools, allowing both individuals and businesses to enhance their operations and engagement strategies.
Pros:
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User-Friendly Interface: Designed to be accessible for users without technical backgrounds, enabling widespread adoption.
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Versatile Applications: Suitable for various industries, including crypto trading, customer support, and content creation, demonstrating flexibility and broad utility.
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Community and Partnership Focused: Actively seeks collaborations and offers a partner program to enhance AI capabilities and reach. citeturn0search1
Cons:
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Emerging Market Presence: As a relatively new entrant in the AI and crypto space, PAAL AI is in the process of establishing its market position and user base.
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Dependence on AI Adoption: The platform’s success is closely tied to the broader acceptance and integration of AI technologies across industries.
Conclusion
As AI and blockchain continue to converge, the projects leading this frontier are not only pushing technological boundaries but also reshaping how we interact with data, finance, and decentralized systems. From Codename:Pepe’s AI-driven meme trading to Bittensor’s decentralized machine learning network, these top 10 crypto AI agents represent the most promising players in a fast-growing sector. While many are still in early stages, their innovative use cases and growing communities make them worth watching closely in 2025 and beyond. As always, with innovation comes risk—so keep an eye on development progress, partnerships, and adoption as the space evolves.
Disclaimer: This is a sponsored press release and is for informational purposes only. It does not reflect the views of Crypto Daily, nor is it intended to be used as legal, tax, investment, or financial advice.
