@Qiao_blog · Post #1361 · 01/29/2026, 03:56 AM
标题: 了解常见的科技棉分类和使用场景,看这篇就够啦! 00:00 #棉服#户外装备#科技棉 00:10 #3M#新雪丽 00:45 #P棉#PRIMALOFT 01:37 #G棉#GLOFT 02:31 #C棉CLIMASHIELD 03:02 常见选购问题
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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