Series

Building Agents That Sleep

6 posts

Part 1 · 28 Mar 2026 · 7 min read

Why AI Agents Need Sleep

AI agents capture memories but never consolidate them. Here's how MuninnDB's Dream Engine borrows from neuroscience to fix that.

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Part 2 · 6 Apr 2026 · 5 min read

Sleep-Inspired Memory for LLM Agents: 6 Papers Ranked by What You Can Ship This Week

I read 6 papers on biologically-inspired memory replay for LLM agents. Only 2 are worth your time if you're building, not publishing.

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Part 3 · 2 Apr 2026 · 7 min read

Your Agent's Memory Metrics Are Lying to You. Here's How to Ground Them.

Memory consolidation looks great on dashboards. But if your metrics can improve without retrieval getting better, you're optimizing a detached proxy.

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Part 4 · 3 Apr 2026 · 12 min read

Patanjali Had the Filtering Spec. We Just Wrote the Tests.

Memory consolidation made retrieval worse. Three design principles from agent memory benchmarks, and their unexpected parallels in yogic attention theory.

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Part 5 · 6 Apr 2026 · 6 min read

Svapna or Sushupti: What Three Traditions Say About Offline Memory Consolidation

Neuroscience, recent AI papers, and an ancient Sanskrit text converge on the same insight about offline consolidation, yet disagree on which phase of sleep matters most.

ai agents memory muninndb

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Part 6 · 4 Apr 2026 · 7 min read

Stop Designing Your AI System. Design Its Environment.

Self-evolving AI harnesses fail when they optimize a fixed evaluator. The biological model is right: what needs to evolve is the selection pressure, not just the genome.

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