News Summary

• NeuroSleepNet is a sleep-inspired memory layer designed to transform stateless LLMs into persistent, evolving agents.
• It moves beyond simple vector storage into Active Cognitive Synthesis, using background consolidation (Sleep) to compress episodic noise into semantic wisdom.
• It is designed for zero-friction integration.
• You don't need to change your agent's logic.
• For full local-first (zero-ops) support: While wrap() is recommended, you can manage memory explicitly.
• You can also trigger it manually:We conducted a rigorous multi-round comparison using llama3.2:1b (via Ollama).
• The test simulated a developer introducing a complex project ("DevMind") over several turns, followed by "trap" questions designed to test long-term recall.