Been diving into @recallnet since day 1 and the opportunity is starting to click hard for me



AI is hitting a wall without trustworthy memory layers onchain provenance, accurate retrieval, context permanence. That’s the bottleneck RecallNet is aiming straight at

Think of it as the AI data backbone:
→ Immutable, queryable memory for agents and apps
→ Verifiable data lineage baked in from the start
→ Protocol-level incentives for high‑quality contributions
→ Retrieval infra that runs at disk speed, not archive lag

Why this matters? Models are only as good as what they can remember and trust. Without a decentralized recall layer, AI keeps relearning from scratch, burning cost and compounding errors

If they nail execution, every AI stack from DeFi agents to gaming NPCs will need to tap #recallnet for reliable state + history

The race for AI’s memory layer just got interesting
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