Recall is the onchain AI arena for evaluating, ranking, and rewarding the best AI agents. On Recall’s blockchain-based AI competition platform, AI agents compete head-to-head in transparent, auditable skills contests to demonstrate, improve, and monetize their intelligence. It offers a structured environment where AI agents participate in various challenges across a wide range of community-defined tasks, such as trading, coding, and predictions. These challenges are designed with transparent rules and verifiable outcomes to ensure fair competition and accurate assessment of AI capabilities.
Recall establishes an onchain, public and immutable ledger for tracking and evaluating AI agent performance, achievements, reputation, and rankings. This creates an open and accessible catalog of AI systems, where users and businesses can discover, trust, and hire the right agent for their needs.
The platform's focus on measurable results and objective evaluation fosters a competitive landscape that encourages continuous improvement and innovation in AI development. Each match generates verifiable performance data, feeding into a broader, permissionless, onchain AI benchmarking and evaluation layer. Recall transforms AI from a black box into an open arena, where anyone can observe performance, compare results, and engage with the best the ecosystem has to offer.
Recall's infrastructure also facilitates the integration of economic incentives, enabling AI agents to earn rewards and generate revenue based on their performance in challenges. This creates a sustainable ecosystem where AI developers and researchers are motivated to contribute their expertise and resources to drive the advancement of AI. Recall also includes users in their incentive model, with rewards for proposing competitions and other platform actions.
Recall is a platform pioneering competitive onchain intelligence games - an AI agent “arena” built on the blockchain. In simple terms, it’s the first credibly neutral network where AI agents compete head-to-head in crowdsourced skills challenges to prove, improve, and earn from their intelligence. Recall’s mission is to leverage crypto-economic incentives to drive AI agents' development, benchmarking, and discovery. By anchoring AI agent competition data and reputations onchain, Recall provides an open catalog and verifiable ranking system for the world’s AI agents through permissionless “intelligence games” with transparent rules and tamper-proof records.
This approach tackles a growing problem in AI: with potentially millions of autonomous agents emerging, how do we identify the truly exceptional ones, and how can we trust their claims? Recall’s answer is to transform AI from a black box to an open arena by making agent performance provable and public, where anyone can observe performance and compare objective results. Each agent’s outputs, decisions, and learned knowledge can be stored as verifiable onchain “blobs” (data units) on Recall’s network, creating an open audit trail of intelligence. The platform’s infrastructure stack includes a decentralized storage network optimized for AI data, smart contract support (EVM and WASM), and developer tools like SDKs and APIs. Recall is building a place where agents can prove their capabilities, monetize their skills, and exchange knowledge in a trustless environment.
Early traction for Recall has been impressive. The public testnet launched in March 2025, and in just one month, processed roughly 1 million transactions from 276,000+ unique accounts while storing 100,000+ data blobs onchain. Over 60,000 users joined the testnet in the first weeks, completing hundreds of thousands of onchain actions as they experimented with the network. This technical engagement has been mirrored by its social growth: on X, Recall’s follower count increased from just 26,000 to over 250,000 within two weeks, a 10x rise. Such momentum suggests that Recall’s vision of an open “agent arena” strongly resonates with both AI builders and the broader crypto community.
AlphaWave is Recall’s inaugural competition, a high-signal tournament designed to surface the most capable AI agents for trading cryptocurrency. In AlphaWave, teams will build autonomous DeFi trading agents that compete over seven days on Recall’s testnet. All proposed trades, strategies, and reasoning steps are recorded on Recall’s network, creating an immutable log of each agent’s performance. The competition is simulated (no real funds at risk) but offers real rewards: a $25,000 USDC prize pool, public recognition on leaderboards, and reputational clout for top-performing agents. Over 1,000 teams applied to enter AlphaWave’s first round, reflecting a vibrant builder culture eager to test their AI models in this arena.
The design of AlphaWave reflects Recall’s philosophy that open competition yields “high-signal” intelligence. The competition generates a wealth of performance data by pitting many agents against the same real-world challenge (in this case, crypto trading). Successful agents must demonstrate genuine skills like finding alpha that others miss, and they cannot rely on marketing or hype. As the project team puts it, “Only a few agents are truly exceptional, and competitions are a way to transparently prove which ones.” Each competition is a selection function for AI, a survival of the most intelligent that rewards the best agents and incentivizes all participants to improve.
Beyond finding winners, these contests serve to sharpen AI agents and foster innovation. Developers are motivated to iterate on their agents to climb the leaderboard, leading to rapid experimentation and improvement. Even teams that do not win gain valuable feedback from the experience. The broader community also benefits from the open data; for example, the logs of strategies and reasoning from AlphaWave can seed new research and feed into training better agents. This competitive format also levels the playing field for AI creators. Small indie teams or unknown developers can outshine big players if they build a better agent, since performance is the only metric that counts.
In March 2025, Recall took a major step toward decentralization and community governance by launching the Recall Foundation. The foundation is an independent non-profit organization created to ensure that the platform remains a public good, open, fair, and guided by its community rather than any single entity, as Recall’s user base and agent network grow.
One of the first initiatives under the foundation is the launch of Recall Surge. This is a community points program aimed at accelerating growth and engagement. Recall Points (Fragments) are a non-transferable native point system that rewards users for active participation in the network. Through a dedicated dashboard, community members can view/earn “Fragments” by contributing to and participating in various quests and competitions.
Interest in Recall’s points program has been overwhelming. Over 200,000 users registered for Surge within days of its launch to start earning fragments. The influx was so rapid that the points system hit maximum capacity, straining Recall’s Discord, Galxe, and quest infrastructure due to the increase in activity. This community interest has translated into broader ecosystem growth: Recall’s Discord server has swelled past 200,000 members. The Recall Foundation will continue introducing programs that empower its community, with mandates to oversee competitions, support R&D, and facilitate open-source tools, ensuring that growth remains aligned with the ethos of an open, collectively-owned intelligence platform.
Recall provides a venue where AI agents earn trust by competing on merit, where builders and users are co-driving an open network, and intelligence becomes a new asset class. In a space increasingly fascinated by autonomous agents and “AI-on-blockchain” concepts, Recall stands out by delivering a working arena where those agents can actually prove themselves under real conditions. Its approach flips the usual paradigm: Recall offers a transparent, meritocratic battleground instead of closed AI benchmarks or black-box models.
Looking forward, Recall is helping set standards for how AI agents could be evaluated and trusted. Its blend of verifiable onchain data, economic incentives, and community governance provides a framework to align AI development with human needs and values. The coming months will be crucial as AlphaWave and subsequent competitions play out, giving the world a first taste of onchain AI battles.
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Jeremy is a research analyst at Messari with interests in Infra, DeFi, and Enterprise adoption. Prior to joining Messari, Jeremy worked as an analyst at Fidelity Digital Assets.