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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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Universe Mysteries 🪐

@cosmomyst · Post #97 · 08/08/2025, 12:11 AM

🪐 The galaxy cluster Abell 1689, located about 2.2 billion light-years from Earth, has helped astronomers map out enormous amounts of dark matter—an invisible substance that makes up most of the cluster’s mass but can only be detected through its gravitational effects. By observing how Abell 1689 bends and magnifies the light from galaxies behind it (a phenomenon called gravitational lensing), scientists reveal a hidden universe shaped by something we still can't see. ✨ #darkmatter⚡#abell1689⚡#clustering⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space 👉subscribe Universe Mysteries

GitHub Trends

@githubtrending · Post #14859 · 06/24/2025, 11:30 AM

#typescript#cli#clustering#concurrency#dependency_injection#effect#error_handling#javascript#observability#opentelemetry#platform#schema#typescript#workflows Effect is a powerful TypeScript framework that helps you build reliable and complex applications by managing side effects like logging, network calls, and database operations in a safe and organized way. It uses a core `Effect` type to describe workflows that are lazy, composable, and type-safe, allowing you to handle errors and dependencies explicitly. The framework is modular, with many packages for AI, CLI tools, distributed computing, SQL databases, and more, making it flexible for various needs. Using Effect improves code quality, concurrency handling, and maintainability, helping you write robust TypeScript apps efficiently[1][2][4][5]. https://github.com/Effect-TS/effect