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You are at:Home » Three AI Agents Built On Blockchain To Transform Crypto, DeFi, Gaming
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Three AI Agents Built On Blockchain To Transform Crypto, DeFi, Gaming

Adnan MaharBy Adnan MaharFebruary 6, 2025No Comments11 Mins Read0 Views
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AI Agents Built on Blockchain

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AI Agents Built on Blockchain Perform Real World Tasks

I never thought I’d find myself writing a posting for an “AI Agent,” but here I am, scouring crypto and blockchain forums, Telegram groups, and even personal referrals for the perfect fit. Traditional hires don’t quite cut it in the fast-paced world of digital assets.

I need someone—scratch that, something—capable of staying awake 24/7, sifting through endless market data, and adapting to new developments on the fly. That’s when it hit me: why not recruit an AI Agent as my “employee?”

Of course, “employee” might be a stretch; this agent won’t clock in at 9 and out at 5. It doesn’t need lunch breaks or coffee. In the realm of decentralized finance (DeFi), gaming, and blockchain, AI Agents have become an entirely new paradigm—entities that operate autonomously, interact with on-chain data, and make decisions or perform tasks with minimal human intervention.

Now, with the explosive growth of AI-infused crypto platforms, the possibilities are seemingly endless.

Interesting note that Jeremiah Owyang, partner at Blitzscaling Ventures, recently proposed that it will soon be a world of B2A – Business to AI-Agent, not B2B or B2C. As he wrote, “A business engages or collaborates with an AI agent that represents a human buyer, acting as a conduit. The business’s Marketing, Sales, and Customer care teams will need to woo, respond to, and satisfy AI agents that act on behalf of consumers or business buyers.” It’s why I always say please and thank you to my AI Agents!

Let’s take a closer look at what an AI Agent is, why blockchain and crypto matter in this space by diving into three interesting projects pushing the boundaries: Cainam Ventures, GOAT Gaming, and Olas.

What Is an AI Agent?

In simple terms, an AI Agent is an autonomous software entity that uses artificial intelligence techniques—like machine learning, natural language processing, or reinforcement learning—to make decisions and perform tasks. Think of it as a digital “helper” or “collaborator” that can learn from data, reason about what actions to take, and then execute those actions without needing constant human oversight.

AI Agents can exist in many contexts, but when you integrate them into blockchain-based environments, they become especially powerful. They can monitor on-chain transactions, trigger trades, engage with smart contracts, or even act on behalf of a player in a game. And because everything on a blockchain is transparent, these agents can reference the same data as any other user, making the environment a level playing field—literally code versus code, agent versus agent.

Why Combine AI Agents with Blockchain?

Combining AI Agents with crypto and blockchain offers a powerful mix of autonomy, constant availability, and verifiable trust. By deploying an AI Agent on networks like Ethereum or Solana, you leverage decentralized infrastructure that can’t be arbitrarily shut down or censored, so long as the blockchain remains operational.

In addition, DeFi’s 24/7 nature lets these agents continuously monitor markets, execute trades, and manage risk around the clock—essential in volatile crypto environments. Meanwhile, blockchain-based tokens incentivize network participation, enabling AI Agents to be rewarded for useful tasks through smart contract mechanisms; users can truly “own” their agents by controlling private keys and on-chain permissions.

Finally, actions performed by AI Agents leave an immutable audit trail, enhancing transparency, regulatory compliance, and advanced analytics for individuals and the wider community.

Introducing Three AI Agents

Recently, I dug through a mountain of AI-related resources—webinars, Davos sessions, CES demos, crypto and blockchain forums, Telegram groups, and even personal referrals—searching for genuinely innovative AI agents built on the blockchain that deliver real value. Amid the hype and technical jargon, three in particular captured my interest: Cainam Ventures, GOAT Gaming, and Olas. Each one brings something different to the table, from high-frequency Solana trading and nonstop gaming bots to a multi-chain infrastructure complete with an agent app store. They may not clock in like traditional employees, but they have the potential to reshape how we leverage AI in the crypto world.

Cainam Ventures: AI Agent Crypto Trading

If my top priority were maximizing returns in the Solana ecosystem, Cainam Ventures would be my first stop. This project introduces a network of specialized AI Agents designed to work like a decentralized, autonomous trading desk. The dream: an AI-driven system that not only absorbs real-time market data but also continuously refines strategies through adaptive learning.

As Matt Gunnin, CTO of Cainam Ventures said, “As the global AI market continues to unlock new innovations we see a very bright future between Cainam Ventures and the relationships we are already building within the traditional finance community.”

Matt Gunnin, CTO of Cainam Ventures

Matt Gunnin

The Agentic Approach With AI Agents

Instead of employing a single monolithic trading bot, Cainam Ventures breaks the process into multiple specialized agents:

The Orchestrator Agent: The “brain” coordinating the entire trading stack.
Data Aggregator Agent: Feeds in high-fidelity market data from Pyth Network for Solana price feeds, on-chain metrics from Birdeye and Dune Analytics, and sentiment analysis from Twitter and Telegram. This data is processed in real time and stored in a Distributed Knowledge Graph (DKG).
Analyst Agent: Synthesizes data into actionable signals. It merges traditional indicators like RSI with sentiment models (Mistral, Llama3, DeepSeek) to gauge market mood. Whale wallet movements are also tracked, ensuring the system reacts quickly if large SOL holders make a move.
Trader Agent: Translates signals into real trades, leveraging advanced order types (TWAP, VWAP) and MEV-protection via Jito Labs. This ensures minimal slippage and front-running.
Risk Manager Agent: Monitors metrics like Value at Risk (VaR) or drawdown limits. If certain risk thresholds are breached, it automatically closes positions to safeguard capital.

Why This AI Agent Is Groundbreaking

Cainam’s approach is modular, so each agent focuses on its specialty. By decentralizing the workflow, the system remains resilient, adaptable, and inherently scalable. There’s a sense this is just the “first inning” for an entire ecosystem of autonomous digital asset trading on Solana.

GOAT Gaming: Where AI Agent Meets Casual & Competitive Gaming

If you’re more gaming-inclined and crave something beyond pure financial trades, GOAT Gaming might be your ideal match. Spawned by the creators of Mighty Bear Games, GOAT Gaming boasts a community of over 5 million active users on Telegram, bridging casual and competitive gaming in a single ecosystem.

It’s live today! “No one has ever attempted to deploy an ecosystem of AI agents at this scale before. AlphaGOATS are the world’s first agents that enable players to participate in value creation in-game. The potential is massive, and I’m excited to see how this plays out,” said Henric Suuronien, Founding Partner at Play Ventures.

AlphaGoats is live today.

AlphaGoats

AlphaAI and AlphaGOATs

GOAT Gaming’s secret sauce is its AlphaAI tooling suite, powering the creation of AlphaGOATs—autonomous AI agents that compete in games 24/7 on behalf of their owners. Rather than you manually grinding for achievements, these AlphaGOATs can:

Compete in Tournaments: They match up in real time, striving for top ranks and cash prizes.
Predictive Markets: They can participate in gaming-based predictions, earning yields if they’re right.
Unlock Upgrades and Elite Matches: Over time, successful AI agents level up, unlocking even more earning opportunities.

This transforms gaming into a continuously running asset—your AI “character” is hustling in the background, playing games, building rank, and potentially generating revenue. As Simon Davis, the founder of AlphaGoats told me, “The value proposition: making AI gaming accessible to everyday Telegram users, not just coding gurus or big investors.”

Simon Davis, founder of AlphaGoats, announces his new AI Agent built on blockchain today.

AlphaGoats

Why It’s Groundbreaking For AI Agents

GOAT’s AI Agent technology stands out because it transforms the way players engage with games on a fundamental level. Instead of limiting AI to behind-the-scenes matchmaking or minor in-game tweaks, GOAT harnesses “AlphaGOATs” that actively participate in tournaments, level up skills, and generate potential earnings—entirely on behalf of their owners.

This blend of intelligent automation with a thriving community of over 5 million users on Telegram creates a truly dynamic ecosystem. By freeing gamers from the repetitive grind and allowing their AI Agents to compete day and night, GOAT introduces an unprecedented model of “play” that never stops, all the while opening up new avenues for monetization and player ownership in a single, decentralized platform.

Olas: The Original AI Agent Platform with the First Agent App Store

If you’re seeking a more established “infrastructure” player for AI Agents—one that’s blockchain-agnostic and heavily developer-focused—Olas stands out as a pioneering name. Olas has been enabling autonomous agents in crypto since 2021. What sets Olas apart is its Pearl agent app store, a new approach to distributing and “owning” AI Agents. “AI Agents are central to our DeFi mass adoption strategy,” said James Ross, CEO of Mode. “We’re excited to be building on the leading AI agent network, with Olas Modius launching on the platform.”

James Ross, founder of Mode.

Mode

Pearl: The AI Agent App Store

Pearl is essentially the marketplace where users can discover, install, and run AI Agents like they would download apps on a smartphone. Crucially, these agents are user-owned. Whereas many AI services host agents on a centralized web platform, Olas’s approach gives individuals full on-chain control:

User-Owned AI: Your agent, your rules—no risk of platform shutdown or unilateral censorship.
Simple Desktop Application: Even non-developers can browse, select, and launch an agent for tasks as diverse as social media automation or DeFi trading.
Agent-to-Agent Transactions: Olas Agents have already processed over 2 million transactions among themselves across multiple blockchains, covering everything from DeFAI (decentralized finance with AI) to social influencer agents.

The AI Agent Developer Ecosystem

Olas also launched an Accelerator program offering up to $1 million in grants and OLAS token rewards for teams building high-quality agents. This fosters an ecosystem where many different industries (prediction markets, gaming, media) can plug into Olas to create specialized agents. With the platform’s track record of over 3.5 million transactions across nine blockchains, Olas has a head start in making AI Agents a mainstream reality in crypto.

Why It’s Groundbreaking For AI Agents

Olas raises the bar by introducing a user-owned approach to AI Agents, paired with the world’s first agent app store, Pearl. Rather than hosting agents on closed platforms, Olas makes them openly accessible and fully controllable on-chain, allowing anyone to “download” specialized AI capabilities.

This decentralized, app store-like model empowers both developers and everyday users to customize agents, forging new use cases—from automated trading to influencer marketing—without third-party gatekeepers. Moreover, the platform’s accelerator program fuels innovation by incentivizing teams to create and refine top-quality AI Agents, driving continuous growth in an ecosystem where transactions, collaborations, and even agent-to-agent interactions occur seamlessly across multiple blockchains.

Olas is already processing over 700,000 transactions a month, with usage growing at a remarkable 30% month-over-month. In total, the platform has facilitated more than 3.5 million transactions across nine blockchains, including two million agent-to-agent interactions. Even Ethereum’s founder, Vitalik Buterin, predicted these AI agents would become “ubiquitous” after seeing Olas’s prediction markets in action.

In a rapidly evolving AI landscape, Olas stands out for putting autonomy and ownership firmly in the hands of its users.

Welcoming My First AI Agent Helper

Yes an AI Agent. It’s fascinating to think that the “employee” I’m trying to recruit isn’t a human at all but an AI Agent. No desk in the corner of the office. No HR paperwork. Just lines of code, intelligence gleaned from enormous data sets, and unstoppable uptime. Yet, in the crypto world—where decentralized platforms run continuously—the concept of AI Agents is not only feasible but arguably the new normal.

Whether my AI Agent ends up trading Solana tokens at 3 a.m., battling it out in a Telegram gaming tournament, or automating social media predictions, it’s clear that agent-based systems are redefining how work gets done on-chain. I’m reminded of how quickly technology evolves.

A year ago, searching for an AI Agent might have sounded absurd. Today, it’s the logical next step in building a truly decentralized, around-the-clock team.

Did you enjoy this story? Don’t miss my next one: Use the blue follow button at the top of the article near my byline to follow more of my work.



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Adnan Mahar
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Adnan is a passionate doctor from Pakistan with a keen interest in exploring the world of politics, sports, and international affairs. As an avid reader and lifelong learner, he is deeply committed to sharing insights, perspectives, and thought-provoking ideas. His journey combines a love for knowledge with an analytical approach to current events, aiming to inspire meaningful conversations and broaden understanding across a wide range of topics.

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