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Source channel @githubtrending · Post #15299 · Nov 12

#python#agent#ai#aiagent#awesome#chatgpt#hacktoberfest#hacktoberfest2025#llm#long_short_term_memory#memori_ai#memory#memory_management#python#rag#state_management Memori is an open-source memory engine that gives AI language models human-like memory using standard SQL databases like PostgreSQL, MySQL, or SQLite.[1][2] With just one line of code, you can enable any LLM to remember conversations, learn from interactions, and maintain context across sessions.[1] The key benefits are significant cost savings of 80-90% compared to expensive vector databases, complete data ownership and transparency since memories are stored in SQL databases you control, and zero vendor lock-in allowing you to export and move your data anywhere.[1][3] Memori works with popular frameworks like OpenAI, Anthropic, and LangChain, making it easy to integrate into existing projects without complex setup.[1] https://github.com/GibsonAI/Memori

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Michaël Van de Poppe Official

@michaelvandepoppeanalyst · Post #4781 · 09/07/2024, 08:24 AM

A whale is facing potential liquidations of 488.45 $WBTC($26.47M) on #Compound, with a health rate as low as 1.07 and a liquidation price of $50,429. This whale was liquidated 3 times during the 2022 price crash, with a total of 74,426 $cWBTC($32.82M) being liquidated. Address: 0xceef57f6c40a7cb2392eaad101ee0440aa43ba42

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Lookonchain | ꘜ Whales are accumulating $LINK. Whale 0x3c9E withdrew 510,000 $LINK($11.13M) from #Binance over the past 2 days and deposited it into #Compound. 0x42A1 spent $1.34M to buy 59,560 $LINK 4 hours ago. 0x848a spent $1M to buy 44,846 $LINK 5 hours ago. https://intel.arkm.com/explorer/address/0x3c9Ea5C4Fec2A77E23Dd82539f4414266Fe8f757 https://intel.arkm.com/explorer/address/0x42A1Cf900c55EC4eBC885eB870A8E1d2E2FA1727 https://intel.arkm.com/explorer/address/0x848aA08a594a14664685e7bbB3a00E38Faba4F2f

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@USDT178888 · Post #1022 · 07/29/2022, 09:17 AM

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