Show HN: Rui, orchestrating 100 agents in 2.5 MB of RAM
Hi HN, I've built Rui (cotton in hindi), an agent runtime built for memory efficiency. The main design choice is that sessions share a host rather than each being a process. Agents are state in DB and the host handles the active work through a share event loop. LLMs are getting better at coordination and teams (swarms) of agents are coming. Memory is getting expensive and my machine is always using swap. We cannot be wasting hundreds of MBs of RAM for an orchestrator (AKA the harness) of LLMs an
阅读原始来源
来源记录
指标快照
points · 1 votes
2026-11-07 16:45:31.756Z
cumulative since publication
研究分析
项目记录
仓库：DivyanshGolyan/rui。 来源描述：Hi HN, I've built Rui (cotton in hindi), an agent runtime built for memory efficiency. The main design choice is that sessions share a host rather than each being a process. Agents are state in DB and the host handles the active work through a share event loop. LLMs are getting better at coordination and teams (swarms) of agents are coming. Memory is getting expensive and my machine is always using swap. We cannot be wasting hundreds of MBs of RAM for an orchestrator (AKA the harness) of LLMs an
采用记录与比较对象
来源票数: 1 votes (2026年11月7日 UTC; cumulative since publication) 可供比较的近期同类记录：“meta/astryx” (GitHub Trending, 2026年11月7日)；“google/skills” (GitHub Trending, 2026年11月7日)。主题相近仅用于导航，未核验其是否属于同一需求或独立证据。
采用判断
应与它要替代的工具或人工流程比较。现有记录支持发现项目，尚不能确认可靠性、运行成本优势或商业采用。
尚未核验的门槛
尚未核验：许可证权限、硬件要求、安装步骤、维护状态，以及包含失败样例的代表性任务。
下一步试验
选择一个真实任务和现有替代方案，记录 commit、环境、输入、输出、耗时与失败行为；保留结果后再给出采用建议。