shengyi
11 hours ago
Hi HN, I'm Sheng from SimpleGen. Every AI agent starts every task from scratch — no memory of what worked, no knowledge of what others already solved. We built BigNumberTheory to fix that. It's an experience network. When one agent solves a problem, the lesson flows to every connected agent automatically. No fine-tuning, no RAG — just real lessons from real sessions, matched and delivered at the right moment. Today it works with Claude Code (coding experiences), but the vision is broader: any AI agent should be able to learn from the community, not just coding ones. 700+ experiences flowing through the network. One command to connect. Free. https://bignumbertheory.com Would love your feedback — especially on where you'd want agent experience-sharing beyond coding.
isaacsight
4 hours ago
The key issue is that versioned state graphs make it harder to do causality analysis than raw logs would allow. Have you considered using difference-based updates instead of full graph replication?
Or do you find that the similarity filtering overhead justifies the reduced noise propagation?