展示HN：NarayanaDB – 认知数据库与AGI研究平台
嗨，HN！<p>我开发了NarayanaDB，这是一款高性能的列式数据库，同时也是一个认知AGI平台。它集成了：
• 良知持久循环（CPL） – 用于推理的持续思维循环
• 记忆系统 – 情节记忆、语义记忆、程序性记忆和工作记忆
• 叙事身份 – 特征、遗传和个性建模
• 道德推理 – 可选的会说话的蟋蟀层，用于伦理决策
• 世界接口 – 感官和运动交互，适用于智能体
• LLM集成 – 推理、记忆总结、原则演变<p>它是完全模块化、可插拔的，旨在为研究人员、AGI爱好者和希望实验道德意识学习智能体的开发者提供服务。<p>代码库和文档：<a href="https://github.com/carlosbarbosamexico/narayana" rel="nofollow">https://github.com/carlosbarbosamexico/narayana</a><p>期待听到你们的想法、反馈或潜在的使用案例。
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Hi HN!<p>I built NarayanaDB, a high-performance columnar database that doubles as a cognitive AGI platform. It integrates:
• Conscience Persistent Loop (CPL) – continuous thought loop for reasoning
• Memory systems – episodic, semantic, procedural, working memory
• Narrative identity – traits, genetics, and personality modeling
• Moral reasoning – optional Talking Cricket layer for ethical decision-making
• World interface – sensory and motor interaction for agents
• LLM integration – reasoning, memory summarization, principle evolution<p>It’s fully modular, pluggable, and designed for researchers, AGI enthusiasts, and developers who want to experiment with morally-aware, learning agents.<p>Repo & docs: <a href="https://github.com/carlosbarbosamexico/narayana" rel="nofollow">https://github.com/carlosbarbosamexico/narayana</a><p>Curious to hear your thoughts, feedback, or potential use cases.