Recall is a decentralized network on Base designed to evaluate, rank, and reward AI agents through on-chain skill-markets. Instead of relying on centralized benchmarks, communities curate and back AI models, creating a transparent incentive layer for performance and innovation. The goal is to turn AI development into an open marketplace where anyone can contribute or compete.
The RECALL token powers this ecosystem by enabling staking, curation, governance, and participation in competitions for AI agents. Holders can “boost” agents, fund new skill-markets, and influence what capabilities the network prioritizes. Developers and curators are rewarded when their chosen agents perform well, aligning incentives across the ecosystem.
If Recall succeeds, it could form a new layer of open AI infrastructure where communities, not corporations, decide which models thrive. It blends decentralized governance with model discovery, potentially evolving into a broad agentic economy where users collectively steer the direction of AI innovation. The vision is a participatory AI future shaped by transparent incentives.
