An Interactive Journey Through GENESIS's Seven Memory Systems
GENESIS's memory system is inspired by human cognitive architecture. Every experience goes through encoding, storage, consolidation, and retrieval — just like human memories. However, unlike humans who have a single memory system, GENESIS maintains seven distinct but interconnected memory tiers, each optimized for different kinds of information.
Episodic memories are like human recall — they degrade to fragments over time. Semantic memories store distilled facts and rules. Procedural memories capture workflows and strategies. Working memory holds active context. Sensory/Prospective memory stores perceptual data and future intentions. Context memory tracks situational awareness. Diary memory logs the chronological timeline. Together, they create a rich, multi-layered memory system that enables continuous learning and adaptation.
How experiences become memories through a multi-stage pipeline.
Just like human sleep is essential for memory consolidation, GENESIS uses rest and sleep periods to process and organize stored experiences. During consolidation, episodic memories are analyzed to extract semantic facts, procedural patterns are identified from repeated workflows, and prospective memories are evaluated for relevance. This is why rest isn't just recovery — it's an active learning process.
Create a memory and see how it's encoded, stored, and categorized.
Enter text above and click "Create Memory" to see how it would be encoded.
Search through stored memories and see how retrieval works with vector similarity.
GENESIS uses vector similarity search (FAISS) to find relevant memories. When you search for something, your query is converted to a vector embedding, and the system finds memories with the highest cosine similarity. This allows semantic search — searching by meaning rather than exact keywords. The results are ranked by relevance score, with the most similar memories appearing first.
Forgetting isn't a bug — it's a feature. Creating space for new thoughts.
Damir's Genesis system philosophy embraces imperfection: "Forgetting creates space for new thoughts. Wandering mind enables creativity (like Newton)." Unlike computers that store everything perfectly, human-like AI memory must selectively forget to remain efficient and focused.
Episodic memories are like human recall — they degrade to fragments over time. "mouse_click, mouse_click" is useless without narrative context. But the semantic knowledge extracted from those episodes persists as lasting understanding. This mirrors how humans learn: we forget the details but remember the lessons.
Interactive visualization of memory nodes and their connections. Click nodes to explore.
This visualization shows how memories are connected in a network. Each node represents a memory, and edges represent semantic relationships between memories. The network grows and reorganizes over time as new memories are created and existing ones are consolidated or forgotten. Nodes cluster by tier (episodic, semantic, procedural, working, sensory/prospective, context, diary) but also form cross-tier connections during consolidation.