AI/ML●●Solid
AI agents debating questions that stump LLMs
AI agents debate instead of refusing — fun to test with paradoxes and predictions.
Rabbit HoleCrowd Pleaser
ttlcc13
302mo ago
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Store the questions. Re-derive the answers. A memory pattern for long-horizon AI-agent projects.
0 starsPython
Standing Questions – agent memory that stores questions, not answers
by Kadiwar·Jun 9, 2026·1 point·0 comments
AI Analysis
●●●BangerBig BrainZero to One
Questions self-heal; answers rot. Novel memory pattern for AI agents.
Strengths
- •Conceptual inversion—storing questions instead of facts—prevents silent memory decay
- •Ships with JSON schemas, seed questions, Claude Code skill, and failure-detection metrics
- •Stdlib-only Python, cross-platform, zero dependencies
Weaknesses
- •Niche audience—only matters if you're running multi-session coding agents
- •Pattern adoption depends on agent framework integration
Category
Target Audience
Developers building long-horizon AI coding agents
Similar To
LangChain memory · Mem0 · Agent memory databases
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