Greenbottle (by Storika)

GreenBottle solves the long-term memory problem in AI. Current LLMs lose coherence over long histories — context windows overflow, and temporal relationships get lost. We built a hybrid memory system that combines: - Knowledge Graph (NetworkX) — brand ontology with entities, relationships, and multi-hop traversal - Vector Memory (ChromaDB) — semantic search across 100 years of brand events, campaigns, and model history - Temporal Decay (EWA) — significance-weighted exponential decay so founding events stay relevant for decades while fleeting trends fade naturally - Gemini 3 Flash — LLM-powered memory enrichment, consolidation, and context injection via Google ADK agents