Your AI does not need more context. It needs continuity.
LeapMemory is the permanent memory layer for AI applications. Verbatim retention. Entity graph traversal. Physical tenant isolation by architecture.
× TTL on memories.
× Chunked text retrieval.
× Reconstructed at runtime.
× Filtered by metadata.
✓Multi-signal retrieval.
✓Graph walks over entities.
✓One tenant per memory brain.
✓Physically isolated by design.
Permanent. Post-RAG. Beyond Vectors.
Three pillars. Each one is the kind of guarantee that requires a different architecture, not a config flag.
Memories never expire.
No TTL. No summarization. No context-window eviction. No per-user caps. Every turn from every conversation is permanently retrievable, exactly as it was spoken.
Turns, not chunks.
RAG was built for documents. Conversation is not a document. LeapMemory stores verbatim turns and fans retrieval across four signals: lexical, semantic, graph traversal, and entity resolution.
Meaning is a graph.
Vectors find similar text. LeapMemory finds connected meaning. Every entity becomes a node. Every relationship becomes an edge. Recall walks the graph, not just embedding space.
Watch a memory form.
Pick a fact, ingest it, then ask a question. Every step shows the four stores filling in real time and the retrieval signals that fire.
Systems that cannot afford to forget.
Anywhere identity, context, or cross-conversation continuity matters more than chunked text retrieval.
AI Companions
Permanent identity. Long-term continuity. Year-three recall of a user's first conversation.
Trading Systems
Regime shifts. Execution ancestry. Behavioral loops. Temporal causality across millions of ticks.
Enterprise AI
Physical tenant isolation. Auditable retrieval boundaries. One-command deletion for compliance.
Memory Platforms
Replace fragile RAG pipelines. Drop in a real semantic infrastructure with provenance.
Four stores. One semantic cortex.
Each store preserves a different aspect of a conversation. Together they form a real memory layer, not a retrieval wrapper.
The Words
Every turn, append-only, exactly as it was said. No chunking. No summarization. No edits. The canonical record of what actually happened.
The Relationships
Nodes for people, places, pets, products. Edges for owns, lives-in, prefers, derived-from. Graph walks make recall associative, not just similar.
The Meaning
Multilingual embeddings stored alongside the entities each turn anchors to. Lexical and semantic signals fire in the same query. Tenant-scoped by design.
The Recognition
The instant lookup that turns "Karma" into the right entity id across languages and time. Hot path for graph traversal. Tenant-isolated keyspace.
AI is evolving beyond RAG into permanent memory.
LeapMemory gives AI systems a permanent semantic cortex backed by physically isolated infrastructure. The memories persist. The relationships compound. The graph becomes cognition.