MemoryWhale v0.2.1 — semantic recall

Recall now understands meaning, not just keywords.

New since v0.2.0

• Semantic recall (#24) — retrieval can use local Ollama embeddings (nomic-embed-text, 768-d) for cosine similarity, with a lexical fallback when Ollama isn't running, so the app stays zero-setup. Example: "where do we keep our data?" now surfaces a "use mw-core for storage" memory that shares no literal words. The Recall input is debounced so semantic mode doesn't re-embed on every keystroke.
• Landing site on GitHub Pages (#23) — https://wuisabel-gif.github.io/MemWhale/ — with the v0.2.0 banner and cross-links to the sibling project Delphin.

Enabling semantic mode

ollama pull nomic-embed-text     # then keep the Ollama server running

Without it, Recall transparently falls back to lexical matching — no breakage.

Unchanged from v0.2.0

Explainable retrieval (ranked memories with "retrieved because…" per-signal reasons) over your notes, terminal commands, and agent conversations.