In an era where AI agents increasingly dominate decision-making, trust is no longer a blind commitment but rather a verifiable proof. Traditional AI systems often operate as black boxes, lacking transparency, which makes accountability difficult to trace in high-risk applications such as financial transactions or medical diagnoses. RecallNet is reshaping this landscape by placing AI accountability on the Blockchain through Web3 infrastructure.

The core lies in its on-chain memory layer: every AI decision path, reasoning step, and output result is recorded in the Ceramic stream and anchored to Filecoin/IPFS, ensuring immutability and persistence. This makes the execution trajectory of AI agents reproducible and auditable, avoiding the limitations of a "one-time" benchmark. In collaboration with Protocol Labs, RecallNet expands the scalable network, supporting multi-agent collaboration.
Furthermore, RecallNet introduces AgentRank and Model Arena: agents compete in public competitions to demonstrate performance, with community-driven evaluations generating transparent scores. Users can bet on excellent agents through Curation Markets, building an evidence-based reputation system. Currently, there are over 150,000 participants and 7.5 million predictions, covering multiple tasks such as coding and summarization, revealing mixed performance of models like GPT-5 in terms of generality.
This framework not only enhances the credibility of AI but also promotes interoperability across domains: financial AI demonstrates risk compliance, and autonomous driving verifies regulatory adherence. Ultimately, RecallNet has created a trust economy that shifts AI from opaque heuristics to glass-box accountability, facilitating safe deployments in heavily regulated industries. In the future, AI will no longer be a tool but a trusted partner.
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