server-v0.0.5
bknd-io/bkndserver-v0.0.5Jul 10, 2026by Dhravya
AI Summary
Self-hosted supermemory instances now support local or remote embedding models, offering greater flexibility for users.
Key Highlights
- Pluggable embeddings support for local ONNX, OpenAI, and Google.
- Safe upgrades for legacy model handling.
- First-boot picker and plan lock in embedding-plan.json.
New Features
- Local ONNX embedding model support.
- Remote embedding support (OpenAI/Google) via environment variables.
- Automatic detection and locking of embedding plans.
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 ```