GitHub Trends

#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

#typescript#data_layer#local_first#signals#sqlite#state_management#sync_engine LiveStore is a powerful data layer for apps that uses a reactive SQLite database to manage and sync data instantly across devices, even offline. It replaces traditional state management tools like Redux by allowing you to query and update data reactively with real-time syncing via event-sourcing. It supports many platforms and UI frameworks, offers flexible data modeling, and handles merge conflicts automatically. This means your app can work smoothly offline, sync changes seamlessly, and stay fast and reliable. LiveStore helps you build high-performance, offline-first apps with easy debugging and evolution. https://github.com/livestorejs/livestore