➥ @recallnet the recall layer for agents?



AI apps drop context, RAG pipelines drift, provenance gets fuzzy. A shared memory network with verifiability, access controls, and predictable costs could change the calculus

What I want to see from Recallnet:
• Auditable provenance for data and embeddings
• Private, permissioned queries with clear caps
• Low-latency retrieval ⟶ deterministic SLOs
• Market design for pay-per-recall and quality staking

Potential unlocks:
• Agent swarms with durable shared memory
• Reproducible research and ops
• Composable memory across wallets and dapps

How should recall be priced and curated without inviting spam or gatekeeping?
DRIFT9.83%
CLEAR3.12%
CAPS8.78%
AGENT9.58%
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