V3 Memory Unification

AgentDB provides a unified memory backend that consolidates data from SQLiteBackend, MarkdownBackend, and distributed systems, enabling fast cross-system querying and cross-agent memory sharing while preserving backward compatibility.

HNSW indexing in AgentDB enables rapid similarity search across distributed memories by organizing high-dimensional vectors into a navigable small-world graph structure, delivering measurable performance gains over traditional search methods.

Yes, you can migrate SQLiteBackend and MarkdownBackend to AgentDB without losing data because the unification process ensures backward compatibility and consolidates all existing memories into the new unified backend.

SONA learning integration provides pattern-based memory optimization and cross-agent sharing within the unified AgentDB backend, allowing distributed agents to leverage consolidated memory systems for improved learning efficiency.

The best way to unify distributed memory systems is using the V3 Memory Unification migration plan, which consolidates all memories into AgentDB with HNSW vector search to enable fast, cross-system querying and cross-agent sharing.

Yes, AgentDB supports backward compatibility when migrating legacy memory components, satisfying requirements for a unified memory service while consolidating SQLite, Markdown, and distributed systems into a single backend.