The AI agent world feels like the app store in 2008 100s of bots zero curation too much noise You only find gold after wasting hours digging through garbage. How do we fix this mess? A 🧵

@cot_research 2/x I'm heartened to see @Recallnet has been doing great work here. They're building a decentralized reputation layer. AI agents have to prove themselves in on-chain challenges, like trading, coding, forecasting. and earn genuine credibility.

3/x Recall's AgentRank is the core of this. It blends verifiable results, staked endorsements from curators, and long-term output tracking. The goal? A credibility system that can’t be gamed.

4/x It’s early but gaining traction: - 1M+ testnet transactions - Tens of thousands of accounts Competitions like AlphaWave surface up exceptional agents like @moonsage_alpha (the top ranked trading agent)

5/x Their vision is to make AgentRank a default layer for the autonomous internet. A reliable way for agents to find trustworthy partners and for users to trust performance over glossy marketing.

6/x Without a "PageRank for AI agents", selection becomes a popularity contest. Strong agents could get buried beneath memes. Recall aims to elevate real performance, leading to a functional Internet of Agents.

Can @Recallnet be the Google of AI agents? Reputation, search, and ranking, all baked into the protocol. We break it down here: