@hmangafor3duploadtest · Post #21359 · 02/09/2025, 01:21 AM
Title: [Awe-Some-Ryan]_LUST_FLIGHT_S2_EP5_机翻 Authors: #None Tags: #None#3D#Awe-Some-Ryan #LUST#FLIGHT#S2#EP5#机翻 recommendation: None TelegraphLinks:page-0-93
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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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