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
```