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Source channel @githubtrending · Post #15558 · Mar 12

#python#agentic_ai#agents#memory Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production. https://github.com/vectorize-io/hindsight

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Crypto M - Crypto News

@CryptoM · Post #64769 · 04/09/2026, 09:03 PM

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🚀 Quantum Safe Bitcoin Proposed to Resist Quantum Attacks Avihu Levy has introduced a concept called Quantum Safe Bitcoin, which is a hash-based transaction design intended to withstand quantum computing attacks. According to NS3.AI, this proposal seeks to enhance Bitcoin's security without altering its fundamental rules. The estimated cost for implementing this design using cloud GPU computing ranges from $75 to $150. However, the complete transaction assembly and broadcast have yet to be demonstrated on the blockchain. #QuantumSafeBitcoin#Bitcoin#QuantumComputing#Blockchain#Cryptocurrency#CyberSecurity#DigitalCurrency#CryptoInnovation#BTC

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