V3 Memory Unification

To unify multiple memory backends, you consolidate disparate storage systems like SQLite and Markdown into a single AgentDB. This process uses HNSW indexing to deliver high-performance semantic search across all consolidated memories.

The best way to migrate legacy memory data is using a DataMigrator with embedding generation capabilities. It ensures smooth data migration from legacy backends to AgentDB while maintaining backward compatibility and enabling HNSW indexing.

HNSW indexing improves agent memory search performance by applying hierarchical navigable small world graphs to the unified AgentDB backend. This mechanism delivers 150x to 12,500x search improvements compared to querying disparate legacy memory systems.

Yes, you need an AgentDBAdapter and an HNSWIndexer to enable cross-agent memory sharing. These components, along with a DataMigrator for embedding generation, are required to unify disparate backends and deliver scalable semantic search.

Yes, you can consolidate SQLite and Markdown memory systems into AgentDB while maintaining backward compatibility. The data migration workflow ensures smooth transition from legacy backends without losing existing memory data during the unification process.