V3 Memory Unification

Migrate legacy memory systems into a unified backend by consolidating MemoryManager, DistributedMemorySystem, SwarmMemory, and Markdown or SQLite sources into AgentDB. This process preserves existing embeddings and metadata to enable cross-agent memory sharing.

Enable semantic search across disparate agent memories by unifying them into an AgentDB backend equipped with HNSW indexing. This provides blazing-fast vector search capabilities and allows agents to query shared memory semantically.

Yes, the V3 Memory Unification migration maintains backward compatibility with SQLite, Markdown, and Hybrid backends. It provides dedicated migration tooling to move memories into AgentDB while preserving original embeddings and metadata.

HNSW indexing accelerates cross-agent memory retrieval by organizing unified AgentDB embeddings into a hierarchical graph. This structure delivers blazing-fast semantic search results across shared memories from MemoryManager and SwarmMemory systems.

Yes, you can integrate SONA patterns when consolidating DistributedMemorySystem data into AgentDB. The unified memory backend specifically supports SONA integration to facilitate collaborative learning and pattern reuse across agents.

Limitations when migrating SwarmMemory to AgentDB involve ensuring embedding generation and metadata preservation remain intact during the transfer. Users must properly configure the HNSW index and initialize the AgentDB adapter before migrating legacy data.