#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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Сколько времени вы проводите в соцсетях?🧐
Кажется, скоро будем проводить еще больше, ведь в июле появилась новая сеть #Threads, которую все называют аналогом #Twitter.
💼Некоторые бренды уже начали использовать новый инструмент в работе. Оставляйте комментарии, мы соберем подборку ваших мнений в наш канал в Дзене.
Как вы оцениваете запуск новой социальной сети Threads? Будете ли использовать в работе? И как?
Meta 旗下社交媒体 Threads 移动端日活超越 X 平台,网页端差距悬殊揭示社媒格局新变化
Similarweb报告显示,Threads移动端日活达1.415亿,已超越X平台。Threads的增长得益于Meta的交叉推广与功能完善;而X平台受AI争议及监管调查影响,美国日活大幅下滑。尽管X在网页端仍具绝对优势,但其领先地位正被削弱,Threads正逐渐成为主流社交工具。
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