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What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

  • Updated Sep 21, 2025
  • TypeScript

Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.

  • Updated Mar 5, 2026
  • TypeScript

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

  • Updated Mar 3, 2026
  • Rust

Lightweight real-time memory management application to monitor and clean system memory on your computer.

  • Updated Feb 21, 2026
  • C

Linux运维监控工具,支持系统硬件信息,内存,CPU,温度,磁盘空间及IO,硬盘smart,GPU,防火墙,网络流量速率等监控,服务接口监测,大屏展示,拓扑图,端口监控,进程监控,docker监控,日志监控,文件防篡改,数据库监控,指令批量下发执行,web ssh,Linux面板(探针),告警,SNMP监测,K8S,Redis,Nginx,Kafka,资产管理,计划任务,密码管理,工作笔记

  • Updated Feb 6, 2026
  • Java

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

  • Updated Mar 5, 2026
  • Python

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

  • Updated Mar 5, 2026
  • Python
WinMemoryCleaner

This free RAM cleaner uses native Windows features to optimize memory areas. It's a compact, portable, and smart application.

  • Updated Dec 19, 2025
  • C#