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
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points · 1 votes
2026-11-07 16:45:31.756Z
cumulative since publication
Research analysis
Project record
Repository: DivyanshGolyan/rui. Source account: 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
Observed adoption & comparisons
Source votes: 1 votes (Nov 7, 2026 UTC; cumulative since publication) Recent records to compare: “meta/astryx” (GitHub Trending, Nov 7, 2026); “google/skills” (GitHub Trending, Nov 7, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
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