This article provides a comprehensive guide to the complete deployment process of OpenMemory MCP, covering project cloning, configuration file modifications (including docker-compose.yml and .env), database setup (PostgreSQL), embedding model selection (supporting OpenAI, Gemini, Ollama), and performance tier configuration (FAST/SMART/DEEP). The author shares practical deployment experience, addressing common issues such as Valkey activation failures and missing user_id, and successfully implements long-term memory functionality for large models. This technical note offers AI developers practical details on performance optimization, API key management, and frontend-backend connection debugging, serving as a valuable reference for enhancing memory capabilities in AI applications.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
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光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。