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v0.9.0 — AI-Authored Annotations + Lightweight Core + PyPI

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@mykolariabokon mykolariabokon released this 03 Jul 10:44
· 8 commits to main since this release
v0.9.0
99293b1

The architecture flip: instead of a small embedding model guessing what your code means, your AI assistant writes the search index. Plus: the default install shrank from ~500 MB to a few MB, and ProjectMind is now one uvx away.

✍️ AI-Authored Annotations — semantic search without embeddings

  • save_annotation(path, summary, keywords) — the assistant saves 1-2 sentence summaries as it works; they're indexed into BM25 and a new near-free L0_annot query tier
  • list_unannotated_files() — coverage report with staleness detection (file changed since annotation)
  • get_annotations(path) — review what the index "knows"
  • Human-readable .ai/annotations.json, UTF-8, atomic writes
  • Natural-language queries ("where are sessions revoked?") now land on the right files with plain keyword search

📦 Lightweight core — the vector stack is optional

  • chromadb + sentence-transformers moved to the [vector] extra
  • Full BM25-only mode: indexing (foreground / background / incremental), search, readiness checks and stats all work without the ML stack — install the extra any time to upgrade in place
  • Small-corpus fix: tiny projects (2-3 files) no longer get empty search results when BM25 idf collapses to zero

🚀 Install in one line

claude mcp add --scope user Memory -- uvx projectmind-mcp

Published on PyPI with automated releases via Trusted Publishing (no tokens anywhere).

CI

Unit jobs now exercise BM25-only mode; the integration job installs [vector] and exercises the full ML path — both modes are covered on every push.

Full changelog: CHANGELOG.md

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