How Hermes Agent Exploded in Popularity: Web3 Forces Storm the AI Battlefield

Introduction: A New Star on GitHub

Imagine a project that launches on GitHub and racks up over 70,000 stars in just over a month. That’s the story of , an open-source AI agent framework. This is rare—fewer than 0.0014% of all GitHub projects hit this mark. Last weekend, it went viral. Developers ditched older tools like “lobster” for . But what’s driving this buzz? are quietly infiltrating the AI battlefield.

Web3—think blockchain, crypto, and decentralized tech—is no longer just about tokens and NFTs. It’s fueling AI innovation. From talent shifts to community adoption, Web3 is changing the game. In this post, we’ll explore how rose fast, why Web3 pros are key players, and what it means for AI’s future.

The Talent Shift: Web3 Pros Enter AI

AI is booming, and Web3 talent is migrating there. Crypto markets cool down, but AI heats up with fresh ideas and big investments. Web3 builders bring resilience from volatile cycles. They know quick iteration and handling uncertainty.

Take Hermes Agent. It’s from Nous Research, an open-source AI group that started in a Discord chat. CEO Jeffrey Quesnelle led engineering for Eden Network, an Ethereum MEV tool. That’s pure Web3 DNA.

Other examples shine too:

• Moltbook: An AI agent social network from OpenClaw. It buzzed big outside crypto and got bought by Meta. Creator Matt Schlicht has deep crypto roots as a serial founder.
• OpenRouter: The top AI model hub. Founder Alex Atallah co-founded OpenSea during the NFT boom. In 2022, he pivoted to AI.

These founders use Web3 skills for fast growth. Crypto drew top global talent before. Now, AI pulls them with its long-term promise.

Why Web3 Experience Helps

It’s not just hype. Web3 pros offer real edges. Crypto booms built tough teams. But success comes from tech innovation and user needs. Web3 is a bonus.

Web3’s Edge in AI Security

Security matters in AI. Web3 talent spots risks fast. In March, Anthropic leaked 512,000 lines of code from Claude Code. First to find it? Chaofan Shou from blockchain firm Fuzzland and Solayer Labs.

Groups like SlowMist scan AI flaws too. Why are they better? Web3 devs face huge attack surfaces daily. They hunt bounties, spotting odd behavior quick. This skill now boosts AI safety.

Web3 Users: Perfect Early Adopters for AI

Web3 fans love new tech. They’re optimists who test beta products. This fits AI agents turning into work tools.

OpenClaw proves it. Crypto users adopted it first, spreading word fast. They ran events in China. Hype annoyed the dev, but early buzz helped.

Worldcoin fights Sybil attacks with biometrics, ZK proofs, and blockchain. Sam Altman (OpenAI CEO) adds UBI rewards via tokens. Web3 users get it—they’re used to complex steps like wallet signs and smart contracts.

They handle AI challenges: prompts, tokens, permissions. Crypto’s money incentives spread info fast on X, Discord, Telegram. This explodes growth.

But retention? That’s on the product.

Web3 Tools Invade AI: Incentives and Infra

Web3 mechanics boost AI projects.

Nous Research and DePIN

Nous grew Web3-style. In 2024, they added DePIN: users share idle GPUs for training, eyeing token airdrops. This sparked community fire.

Funding? Over $70M raised. Series A hit $1B token value. Backers: Paradigm, Delphi Ventures, Solana’s Raj Gokal, Alex Atallah. No token yet—airdrop rumors swirl.

AI fights aren’t just tech now. Governance and rewards build ecosystems. This sets for mass use.

OpenRouter: Web3 Liquidity for AI

OpenRouter aggregates 300+ AI models for devs. Alex Atallah saw cheap models exploding—like NFTs. It’s OpenSea for AI.

Results: 5M users, revenue from $10M to $50M yearly. $40M raised, now chasing $120M at $1.3B value.

Crypto Miners Power AI

Miners pivot to AI. They have power deals, data centers, cooling—gold for AI. Bitcoin halving hurts, but AI saves them.

Nvidia profited from mining GPUs first. Firms like Bitdeer, Riot Platforms, MARA shift to AI/HPC.

Web3 Across the AI Stack

From compute (miners), models (Nous), to apps (agents). are everywhere in AI.

• Upstream: Miner infra for GPUs.
• Midstream: Frameworks like .
• Downstream: User tools with incentives.

What’s Next for Web3 in AI?

‘s rise shows Web3’s power. Talent, security, users, incentives—it’s a full invasion. AI needs decentralized edges as it grows. Watch for more crossovers: DePIN for compute, tokens for adoption, blockchain for trust.

This blend could make AI fairer, faster, open. Web3 isn’t leaving the —it’s claiming ground.

Stay tuned. The fusion is just starting.

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