server-v0.0.5
supermemoryai/supermemoryserver-v0.0.5Jul 10, 2026by Dhravya
AI Summary
Adds flexibility to self-hosted instances by supporting local and remote embedding models, alongside safe upgrade mechanisms for existing stores.
Key Highlights
- Pluggable embedding support for local ONNX, OpenAI, and Google
- Configuration via 'SUPERMEMORY_EMBEDDING_*' environment variables
- Safe upgrade path for legacy stores with automatic lock detection
Breaking Changes
- Switching to same-dimension models now fails fast instead of mixing vectors.
New Features
- Pluggable embedding models
- Safe upgrade handling
- First-boot embedding picker
Full Release Notes
Self-hosted supermemory can now use local or remote embedding models. - **Pluggable embeddings** — local ONNX (default) or OpenAI / OpenAI-compatible / Google via `SUPERMEMORY_EMBEDDING_*`; first-boot picker + plan lock in `embedding-plan.json` - **Safe upgrades** — populated stores without a lock assume legacy `local · Xenova/bge-base-en-v1.5 · 768d`; same-dimension model switches fail fast instead of mixing vectors ```sh curl -fsSL https://supermemory.ai/install | bash ``` ```sh supermemory-server upgrade ```