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Mem0 Node SDK (v3.0.7)

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@whysosaket whysosaket released this 10 Jun 17:00
· 55 commits to main since this release
ts-v3.0.7
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Mem0 Node SDK (v3.0.7)

New Features:

  • Embeddings: Add LMStudioEmbedding provider for local embeddings via the LM Studio server (#5377)
  • Memory: Add opt-in explain: true option to Memory.search(). When enabled, each result includes a scoreBreakdown object with semantic, keyword, entityBoost, and temporalBoost fields so callers can inspect and tune retrieval ranking (#5102)

Bug Fixes:

  • Memory: Parallelize entity boost searches in Memory.search(). All entity embed + store lookups now run concurrently instead of sequentially, eliminating multi-second latency on entity-rich queries with remote embedding providers (#5377)
  • Vector Stores: Normalize similarity scores to [0, 1] (higher = better) — fixed score inversion in the Redis vector store adapter (#5391)
  • Embeddings: Request encoding_format: "float" from the OpenAI embedder in both embed() and embedBatch(). Fixes incorrect vector dimensions when using OpenAI-compatible proxies that default to base64 encoding (#5170)
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