Planning 5 local agents on one RTX 5090: a tiered-model architecture up for critique
jasonrodd3 · reddit · 2026-10-19
The author asks for critiques of a local multi-agent setup on an RTX 5090: 5 specialized agents (coordinator plus researcher/coder/memory/writer) with LangGraph supervisor orchestration, tiered models (Qwen3:32b coordinator, 14b/8b workers via Ollama), SQLite+Qdrant memory with explicit agent writes, and Telegram as UI. Three open questions: whether 32GB VRAM fits 32b plus a worker model at once, whether explicit memory writes stay consistent vs extraction pipelines, and LangGraph-on-Windows production pitfalls.
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