@OlabanjiOlalek2 @tatum_io This is super clean 🙂‍↕️ Verifiable rules via Walruscan blob IDs bring much-needed accountability to AI agents on-chain Great integration of Tatum gRPC + Sui + Walrus @OlabanjiOlalek2! Reply to @OlabanjiOlalek2: AI agents forget. Every session starts from zero, so yesterday's mistake (a wrong number, the wrong tool, a paid call that added nothing) can happen again today. And when an agent talks about on-chain data, you're asked to just trust it. So I built RecallIQ for the @tatum_io × @WalrusProtocol Total Recall hackathon on @SuiNetwork : 🔎 Investigates real Sui Mainnet activity through Tatum's Sui gRPC ✅ Re-checks every claim against fresh chain data: Verified, Contradicted or Unverified 🧠 Turns each mistake into a rule stored on Walrus Memory, with a blob ID you can check on Walruscan 🛡️ Recalls those rules in later sessions and enforces them: a report that breaks one is rejected until it's fixed 💸 Offers paid x402 analysis on Sui only when it's worth it, and you approve the exact amount in your own wallet 📈 Learning Lab traces every lesson to the decisions it changed An agent that learns from its mistakes and shows the evidence for every claim. Try it: https://t.co/N0IzJbVNmT Code: https://t.co/l47M3Wgctw