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Changelog

Unreleased

Documentation

  • README: documented collection filtering (-c semantics), the collection show/include/exclude/update-cmd subcommands, the --intent/--no-rerank/ -C/--full-path search flags, the --format <kind> output selector (with the legacy --json/--csv/--md/--xml/--files booleans noted as aliases), vector-search/deep-search aliases, embed memory flags (--max-docs-per-batch/--max-batch-mb), a sample --explain score trace, the qmd doctor/qmd init commands, the get :from:count suffix and --no-line-numbers, an MCP tool parameter reference, and a Benchmarking section for qmd bench.
  • docs/SYNTAX.md: removed the non-existent q MCP parameter example (the query tool and REST endpoint accept only the searches array) and added a Scoping section.
  • README: removed the misleading qmd update --pull example. The --pull flag is parsed but never consumed (updateCollections() ignores it); the real mechanism for running git pull before re-indexing is a per-collection update command, set via qmd collection update-cmd.

Fixed

  • MCP server instructions now tell agents to scope with the plural collections parameter (matching the schema). The previous singular collection hint led agents to pass a parameter that Zod silently strips, producing unscoped results. The get instruction line also now documents the full file.md:from:count range suffix instead of only the single-line file.md:100 offset.

  • Filesystem paths with special characters (#, &, spaces, [], (), etc.) now round-trip correctly through index → search → get. Previously reindexCollection called handelize() on relative paths before storing them, turning # Meeting - 234232 3432 __ 5.md into Meeting-234232-3432-5.md and making qmd get <actual-path>, qmd get --full-path, and qmd ls return dead or garbled paths. Paths are now stored verbatim. Existing indexes auto-migrate on the next qmd update.

  • FTS5 search now correctly matches dotted version strings like 2026.4.10. The porter unicode61 tokenizer splits on dots (storing 2026, 4, 10 as separate tokens), but the query sanitizer was stripping dots and producing 2026410 which never matched. Dotted terms are now split and ANDed together so version-string searches work as expected (#563).

  • HTTP REST endpoints /query and /search now return qmd://collection/path URIs in the file field, matching the output format used by the CLI and MCP resource URIs. Previously the raw displayPath (collection/path) was returned without the scheme prefix (#576).

  • The embed session maxDuration is now env-configurable via QMD_EMBED_MAX_DURATION_MS (default: 30 min). This prevents large-corpus embeddings from being aborted by the hardcoded 30-minute ceiling (#673).

[2.5.3] - 2026-05-28

Features

  • qmd get now accepts a :from:count suffix on a path or docid (e.g. qmd get "#abc123:120:40" reads 40 lines starting at line 120). Explicit --from/-l flags still override the suffix. The MCP get tool accepts the same suffix.
  • qmd get and qmd multi-get are now line-numbered by default and print the document's #docid and qmd:// path in the output header. Disable line numbers with --no-line-numbers. The MCP get/multi_get tools default lineNumbers to true to match.
  • qmd multi-get now includes the #docid in every output format (--md, --json, --csv, --xml, --files, and the default CLI view), consistent with qmd search.
  • qmd get and qmd multi-get accept --full-path, which replaces the qmd:// path + #docid with the document's on-disk filesystem path (handy for piping into Read/Edit/an editor). Falls back to the canonical qmd:// + docid header when the file no longer exists on disk.
  • qmd search / qmd query now show a clearer hit identifier: the default CLI view (and the new **file:** line in --md output) always prints the full qmd://collection/path URI so you can pipe it straight back into qmd get.
  • qmd search / qmd query accept --full-path with the same semantics as qmd get: the result label becomes the file's on-disk path — ./-prefixed relative path when the file lives in a subfolder of $PWD, absolute realpath otherwise — and the per-result #docid is dropped because the path is the identifier. The leading ./ is intentional so the output is unambiguously a filesystem path. Applies to all output formats.
  • qmd get and qmd multi-get now also use the ./-prefixed convention when --full-path renders a path under $PWD, matching search/query.
  • New --format <kind> flag selects the output format (cli | json | csv | md | xml | files) for search, query, and multi-get. The legacy boolean aliases (--json/--csv/--md/--xml/--files) still work but are no longer in --help; prefer --format.

Fixes

  • Launcher: source-mode runner selection now prefers Node + tsx over Bun when both package-lock.json and bun.lock are present in the package root, mirroring the dist-mode "npm priority" rule. Fixes pnpm-global installs that copy the entire working tree (including .git and bun.lock) into the install dir and previously routed through Bun, causing ABI mismatches with the Node-built better-sqlite3 / sqlite-vec native modules.
  • Darwin Metal: llama-using commands (query, vsearch, embed) no longer dump a multi-kB GGML/Metal backtrace at process exit even when output succeeded. The libggml-metal static ggml_metal_device destructor asserts [rsets->data count] == 0 during __cxa_finalize_ranges, but the buffer-free path never calls the symmetric ggml_metal_device_rsets_rm to remove released rsets from the device collection (upstream ggml-org/llama.cpp#22593, one-line fix open as PR #22595). The assertion only fires when process.exit() skips Node's beforeExit hook, which is what node-llama-cpp uses to auto-dispose Metal contexts. Primary fix: finishSuccessfulCliCommand now sets process.exitCode = 0 and returns instead of calling process.exit(0), so beforeExit fires and the native binding cleans up before libc's static destructor runs. Defense-in-depth: the launcher (bin/qmd) and the npm test driver (scripts/test-all.mjs
    • the test:bun / test:unit package.json scripts) also set GGML_METAL_NO_RESIDENCY=1 on darwin before spawning node/bun, covering error paths and tests that still terminate via process.exit(). The env var must be set before node/bun start — libggml-metal reads it via libc getenv at module-load time, and Bun does not propagate process.env mutations to libc setenv — so it lives in the launcher rather than in test-preload. Residency sets give no measurable speedup for QMD's short-lived CLI workflow (benchmarked on M3 Pro). Opt back in with QMD_METAL_KEEP_RESIDENCY=1 for long-lived qmd processes (e.g. the MCP daemon may benefit on hot reload) or to triage the upstream fix. qmd doctor reports the mitigation state. Minimal reproduction: scripts/repro-metal-rsets-crash.mjs.

Docs

  • qmd skill: emphasize reading line ranges with get's built-in :from:count suffix / --from/-l flags instead of piping through sed/head/tail; cite the docid and line numbers now present in retrieval output; and author structured intent:/lex:/vec:/hyde: queries yourself rather than relying on built-in query expansion.

[2.5.2] - 2026-05-22

Fixes

  • Launcher: Rewrite bin/qmd as a Node-based shebang polyglot to fix global npm installation execution failures on Windows (#668 / #452), while supporting seamless fallback to Bun in Node-less environments.

[2.5.1] - 2026-05-20

Changes

  • Release: publish from GitHub Actions via npm Trusted Publishing/OIDC instead of a long-lived NPM_TOKEN secret.

[2.5.0] - 2026-05-19

Changes

  • Dependencies: update core SQLite/config/chunking packages (better-sqlite3, yaml, web-tree-sitter, tree-sitter-go, and tree-sitter-python) while keeping incompatible zod, tsx, and vitest majors pinned.
  • Agent skills: add qmd skills list|get|path to serve version-matched runtime skill instructions from the installed CLI, and make qmd skill install write a stable discovery stub so installed agent skills do not go stale after QMD upgrades.
  • CLI: add qmd doctor for index/runtime diagnostics, including SQLite/sqlite-vec versions, embedding fingerprint freshness, mixed-fingerprint detection, safe legacy fingerprint adoption, and content-hash sampling.

Fixes

  • Launcher: prefer runnable TypeScript source in git checkouts even when ignored dist/ artifacts exist, while packaged installs continue to run dist/.

  • GPU: keep node-llama-cpp's documented gpu: "auto" initialization as the primary path, then perform no-build packaged CUDA/Vulkan/Metal probes only if auto falls back to CPU.

  • CLI: move GPU/CPU runtime diagnostics out of qmd status; use qmd doctor for device probing and related environment guidance.

  • CLI: point unexpected command/setup failures toward qmd doctor so diagnostics are the default next step when QMD behaves incorrectly.

  • Doctor: explicitly warn when content_vectors contains multiple non-empty embedding fingerprint names, with the per-fingerprint document/chunk breakdown.

  • Embed: make the TTY progress line label byte-based input progress explicitly, show embedded chunks as a count, and shorten the displayed model name.

  • Embed: retain per-chunk failure details, retry failed chunks after later successful embeds and again when no other chunks remain, clear recovered errors, and cap retries to avoid endless loops.

  • Tests: expand the container smoke harness to cover npm-global, npx-style, and Bun-global install scenarios, always checking auto and QMD_FORCE_CPU=1 doctor modes, with opt-in tiny qmd embed and GPU probe runs for supported container runtimes.

  • Embedding: fingerprint vector metadata using the active embedding model and formatting/chunking parameters so stale vectors are treated as pending after search semantics change. Legacy content_vectors columns are migrated lazily on first vector-health/write use to preserve fast QMD startup.

  • Skill: expand the packaged QMD skill with retrieval-first workflows, structured query examples, wiki/source collection guidance, and safe fallbacks when model-backed search is unavailable.

  • Tests: make bun run test execute the local unit suite under both Node/Vitest and Bun (test:node + test:bun) so runtime-specific regressions are caught before CI.

  • Model config: centralize embedding/rerank/generation model resolution so qmd embed, status, query, vsearch, pull, SDK vector search, and bench use the same active .qmd/index.yaml model hints and environment fallbacks.

  • GPU/status: qmd status now uses the same embedding model identity as qmd embed when computing pending embeddings, so URI-backed embeddings are not incorrectly reported as pending under the legacy embeddinggemma alias.

  • GPU status: qmd status now always shows GPU mode/configuration without unsafe native probing, and CPU-fallback warnings point to QMD_STATUS_DEVICE_PROBE=1 qmd status for an actual backend probe. The no-GPU warning is emitted once per process instead of once per LLM instance during benchmarks.

  • GPU: add QMD_FORCE_CPU=1 / --no-gpu to bypass CUDA/Vulkan/Metal probing entirely, and route native llama.cpp stdout noise to stderr so JSON output stays parseable during search/query commands.

  • Snippet line numbers: qmd_query (MCP), HTTP /query, and qmd query (CLI JSON output and snippet headers) now return absolute source-file line numbers instead of chunk-local ones, so the line field can be passed back to qmd_get as fromLine without a separate lookup. Snippet selection remains scoped to the best matching chunk (preserves #149).

  • CLI: qmd query --full now emits the full document body in all output formats (json, csv, md, xml), restoring the documented behavior of the flag. Previously it returned only the best matching chunk (~3.6KB max per result). Output payload for --full queries is now proportional to total document size.

  • macOS Metal: qmd query --json now flushes successful JSON output and uses a safe immediate-exit path on Darwin to avoid ggml Metal finalizer aborts; other commands still dispose LLM contexts/models before the llama runtime. #368

  • Embedding: require complete chunk coverage before treating a document as embedded, remove partial vectors when chunk/session failures leave a document incomplete, and keep qmd status pending counts honest after interrupted long embed runs. #637 #378

  • Embedding: qmd embed -c <collection> now scopes pending-doc selection to the requested collection instead of embedding global pending work. Scoped --force clears only collection-owned vectors, preserves shared hashes referenced by sibling collections, and drops vectors_vec only when the scoped clear empties all vectors.

  • Hybrid search: weight RRF lists by query type so original FTS and original vector evidence get the intended 2x boost, instead of accidentally boosting the first lexical expansion. #591

  • MCP: seed llama.cpp/GGML quiet env vars before launching qmd mcp so native logs cannot pollute stdio JSON-RPC framing. #593

  • CLI: remove CommonJS require() calls from ESM index path normalization so qmd --index <path> no longer crashes with ERR_AMBIGUOUS_MODULE_SYNTAX on Node 22+. #634

  • Windows CUDA: serialize llama.cpp embedding/reranking contexts by default to avoid intermittent ggml-cuda.cu:98 crashes in qmd query; set QMD_EMBED_PARALLELISM to opt back into parallel contexts if your driver is stable. #519

  • MCP: make qmd mcp --index <name> use the selected index for both foreground and daemon HTTP servers instead of falling back to the default store. #343

  • Embedding: respect QMD_EMBED_MODEL consistently for vector indexing and vector-backed search, with default-model fallback when unset.

  • Config: use one home-directory resolver for YAML config and the default SQLite cache path, avoiding Windows CLI/MCP split-brain when HOME is unset.

  • GPU: respect explicit QMD_LLAMA_GPU=metal|vulkan|cuda backend overrides instead of always using auto GPU selection. #529

  • Fix: preserve original filename case in handelize(). The previous .toLowerCase() call made indexed paths unreachable on case-sensitive filesystems (Linux). qmd update automatically migrates legacy lowercase paths without re-embedding.

  • CLI: make qmd status skip native node-llama-cpp device probing by default so status stays safe on machines with broken or unsupported GPU drivers. Set QMD_STATUS_DEVICE_PROBE=1 to opt in.

  • CLI: lazy-load node-llama-cpp so lightweight commands such as qmd status do not import native ML dependencies or trigger llama.cpp builds on ARM/no-GPU machines. #491

  • Store: keep content rows referenced by inactive documents during orphan cleanup so qmd update preserves soft-deleted tombstones for removed files. #585

  • Packaging: install AST grammar WASM packages as required dependencies so Bun global installs include TypeScript/TSX/JavaScript grammars, and add a smoke:package-grammars verification command. #595

  • Launcher: add wrapper smoke coverage for scoped package, npm/npx, Homebrew/Linuxbrew, Bun global symlink layouts, and $BUN_INSTALL false-positive runtime selection regressions. #351 #353 #354 #356 #358 #359

[2.1.0] - 2026-04-05

Code files now chunk at function and class boundaries via tree-sitter, clickable editor links land you at the right line from search results, and per-collection model configuration means you can point different collections at different embedding models. 25+ community PRs fix embedding stability, BM25 accuracy, and cross-platform launcher issues.

Changes

  • AST-aware chunking for code files via web-tree-sitter. Supported languages: TypeScript/JavaScript, Python, Go, and Rust. Code files are chunked at function, class, and import boundaries instead of arbitrary text positions. Markdown and unknown file types are unchanged. --chunk-strategy <auto|regex> flag on qmd embed and qmd query (default regex). SDK: chunkStrategy option on embed() and search(). qmd status shows grammar availability.
  • qmd bench <fixture.json> command for search quality benchmarks. Measures precision@k, recall, MRR, and F1 across BM25, vector, hybrid, and full pipeline backends. Ships with an example fixture against the eval-docs test collection. #470 (thanks @jmilinovich)
  • models: section in index.yml lets you configure embed, rerank, and generate model URIs per collection. Resolution order is config > env var (QMD_EMBED_MODEL, QMD_RERANK_MODEL, QMD_GENERATE_MODEL) > built-in default. #502 (thanks @JohnRichardEnders)
  • CLI search output now emits clickable OSC 8 terminal hyperlinks when stdout is a TTY. Links resolve qmd:// paths to absolute filesystem paths and open in editors via URI templates (default: vscode://file/{path}:{line}:{col}). Configure with QMD_EDITOR_URI or editor_uri in the YAML config. #508 (thanks @danmackinlay)
  • --no-rerank flag skips the reranking step in qmd query — useful when you want fast results or don't have a GPU. Also exposed as rerank: false on the MCP query tool. #370 (thanks @mvanhorn), #478 (thanks @zestyboy)
  • ONNX conversion script for deploying embedding models via Transformers.js. #399 (thanks @shreyaskarnik)
  • GitHub Actions workflow to build the Nix flake on Linux and macOS.

Fixes

  • Embedding: prevent qmd embed from running indefinitely when the embedding loop stalls. #458 (thanks @ccc-fff)
  • Embedding: truncate oversized text before embedding to prevent GGML crash, and bound memory usage during batch embedding. #393 (thanks @lskun), #395 (thanks @ProgramCaiCai)
  • Embedding: set explicit embed context size (default 2048, configurable via QMD_EMBED_CONTEXT_SIZE) instead of using the model's full window. #500
  • Embedding: error on dimension mismatch instead of silently rebuilding the vec0 table. #501
  • Embedding: handle vec0 OR REPLACE limitation in insertEmbedding. #456 (thanks @antonio-mello-ai)
  • Embedding: fix model selection when multiple models are configured. #494
  • BM25: correct field weights to include all 3 FTS columns — title, body, and path were not weighted correctly. #462 (thanks @goldsr09)
  • BM25: handle hyphenated tokens in FTS5 lex queries so terms like "real-time" match correctly. #463 (thanks @goldsr09)
  • BM25: preserve underscores in search terms instead of stripping them. #404
  • BM25: use CTE in searchFTS to prevent query planner regression with collection filter.
  • Reranker: increase default context size 2048→4096 and make configurable via QMD_RERANK_CONTEXT_SIZE. Fix template overhead underestimate 200→512. #453 (thanks @builderjarvis)
  • GPU: catch initialization failures and fall back to CPU instead of crashing.
  • MCP: read version from package.json instead of hardcoding. #431
  • MCP: include collection name in status output. #416
  • Multi-get: support brace expansion patterns in glob matching. #424
  • Launcher: prioritize package-lock.json to prevent Bun false positive. #385 (thanks @rymalia)
  • Launcher: remove $BUN_INSTALL check that caused false Bun detection. #362 (thanks @syedair)
  • Launcher: skip Git Bash path detection on WSL. #371 (thanks @oysteinkrog)
  • Model cache: respect XDG_CACHE_HOME for model cache directory. #457 (thanks @antonio-mello-ai)
  • SQLite: add macOS Homebrew SQLite support for Bun and restore actionable errors. #377 (thanks @serhii12)
  • Pin zod to exact 4.2.1 to fix tsc build failure. #382 (thanks @rymalia)
  • Preserve dots and original case in handelize() — filenames like MEMORY.md no longer become memory-md. #475 (thanks @alexei-led)
  • Include line in --json search output so editor integrations can jump directly to file:line. #506 (thanks @danmackinlay)
  • Nix: fix paths in flake and make Bun dependency a fixed-output derivation so sandboxed Linux builds work offline. #479 (thanks @surma-dump)
  • Sync stale bun.lock (better-sqlite3 11.x → 12.x). CI and release script now use --frozen-lockfile to prevent recurrence. #386 (thanks @Mic92)
  • Approve native build scripts in pnpm so better-sqlite3 and tree-sitter modules compile correctly. Update vitest ^3.0.0 → ^3.2.4.

[2.0.1] - 2026-03-10

Changes

  • qmd skill install copies the packaged QMD skill into ~/.claude/commands/ for one-command setup. #355 (thanks @nibzard)

Fixes

  • Fix Qwen3-Embedding GGUF filename case — HuggingFace filenames are case-sensitive, the lowercase variant returned 404. #349 (thanks @byheaven)
  • Resolve symlinked global launcher path so qmd works correctly when installed via npm i -g. #352 (thanks @nibzard)

[2.0.0] - 2026-03-10

QMD 2.0 declares a stable library API. The SDK is now the primary interface — the MCP server is a clean consumer of it, and the source is organized into src/cli/ and src/mcp/. Also: Node 25 support and a runtime-aware bin wrapper for bun installs.

Changes

  • Stable SDK API with QMDStore interface — search, retrieval, collection/context management, indexing, lifecycle
  • Unified search(): pass query for auto-expansion or queries for pre-expanded lex/vec/hyde — replaces the old query/search/structuredSearch split
  • New getDocumentBody(), getDefaultCollectionNames(), Maintenance class
  • MCP server rewritten as a clean SDK consumer — zero internal store access
  • CLI and MCP organized into src/cli/ and src/mcp/ subdirectories
  • Runtime-aware bin/qmd wrapper detects bun vs node to avoid ABI mismatches. Closes #319
  • better-sqlite3 bumped to ^12.4.5 for Node 25 support. Closes #257
  • Utility exports: extractSnippet, addLineNumbers, DEFAULT_MULTI_GET_MAX_BYTES

Fixes

  • Remove unused import { resolve } in store.ts that shadowed local export

[1.1.6] - 2026-03-09

QMD can now be used as a library. import { createStore } from '@tobilu/qmd' gives you the full search and indexing API — hybrid query, BM25, structured search, collection/context management — without shelling out to the CLI.

Changes

  • SDK / library mode: createStore({ dbPath, config }) returns a QMDStore with query(), search(), structuredSearch(), get(), multiGet(), and collection/context management methods. Supports inline config (no files needed) or a YAML config path.
  • Package exports: package.json now declares main, types, and exports so bundlers and TypeScript resolve @tobilu/qmd correctly.

[1.1.5] - 2026-03-07

Ambiguous queries like "performance" now produce dramatically better results when the caller knows what they mean. The new intent parameter steers all five pipeline stages — expansion, strong-signal bypass, chunk selection, reranking, and snippet extraction — without searching on its own. Design and original implementation by Ilya Grigorik (@vyalamar) in #180.

Changes

  • Intent parameter: optional intent string disambiguates queries across the entire search pipeline. Available via CLI (--intent flag or intent: line in query documents), MCP (intent field on the query tool), and programmatic API. Adapted from PR #180 (thanks @vyalamar).
  • Query expansion: when intent is provided, the expansion LLM prompt includes Query intent: {intent}, matching the finetune training data format for better-aligned expansions.
  • Reranking: intent is prepended to the rerank query so Qwen3-Reranker scores with domain context.
  • Chunk selection: intent terms scored at 0.5× weight alongside query terms (1.0×) when selecting the best chunk per document for reranking.
  • Snippet extraction: intent terms scored at 0.3× weight to nudge snippets toward intent-relevant lines without overriding query anchoring.
  • Strong-signal bypass disabled with intent: when intent is provided, the BM25 strong-signal shortcut is skipped — the obvious keyword match may not be what the caller wants.
  • MCP instructions: callers are now guided to provide intent on every search call for disambiguation.
  • Query document syntax: intent: recognized as a line type. At most one per document, cannot appear alone. Grammar updated in docs/SYNTAX.md.

[1.1.2] - 2026-03-07

13 community PRs merged. GPU initialization replaced with node-llama-cpp's built-in autoAttempt — deleting ~220 lines of manual fallback code and fixing GPU issues reported across 10+ PRs in one shot. Reranking is faster through chunk deduplication and a parallelism cap that prevents VRAM exhaustion.

Changes

  • GPU init: use node-llama-cpp's build: "autoAttempt" instead of manual GPU backend detection. Automatically tries Metal/CUDA/Vulkan and falls back gracefully. #310 (thanks @giladgd — the node-llama-cpp author)
  • Query --explain: qmd query --explain exposes retrieval score traces — backend scores, per-list RRF contributions, top-rank bonus, reranker score, and final blended score. Works in JSON and CLI output. #242 (thanks @vyalamar)
  • Collection ignore patterns: ignore: ["Sessions/**", "*.tmp"] in collection config to exclude files from indexing. #304 (thanks @sebkouba)
  • Multilingual embeddings: QMD_EMBED_MODEL env var lets you swap in models like Qwen3-Embedding for non-English collections. #273 (thanks @daocoding)
  • Configurable expansion context: QMD_EXPAND_CONTEXT_SIZE env var (default 2048) — previously used the model's full 40960-token window, wasting VRAM. #313 (thanks @0xble)
  • candidateLimit exposed: -C / --candidate-limit flag and MCP parameter to tune how many candidates reach the reranker. #255 (thanks @pandysp)
  • MCP multi-session: HTTP transport now supports multiple concurrent client sessions, each with its own server instance. #286 (thanks @joelev)

Fixes

  • Reranking performance: cap parallel rerank contexts at 4 to prevent VRAM exhaustion on high-core machines. Deduplicate identical chunk texts before reranking — same content from different files now shares a single reranker call. Cache scores by content hash instead of file path.
  • Deactivate stale docs when all files are removed from a collection and qmd update is run. #312 (thanks @0xble)
  • Handle emoji-only filenames (🐘.md → 1f418.md) instead of crashing. #308 (thanks @debugerman)
  • Skip unreadable files during indexing (e.g. iCloud-evicted files returning EAGAIN) instead of crashing. #253 (thanks @jimmynail)
  • Suppress progress bar escape sequences when stderr is not a TTY. #230 (thanks @dgilperez)
  • Emit format-appropriate empty output ([] for JSON, CSV header for CSV, etc.) instead of plain text "No results." #228 (thanks @amsminn)
  • Correct Windows sqlite-vec package name (sqlite-vec-windows-x64) and add sqlite-vec-linux-arm64. #225 (thanks @ilepn)
  • Fix claude plugin setup CLI commands in README. #311 (thanks @gi11es)

[1.1.1] - 2026-03-06

Fixes

  • Reranker: truncate documents exceeding the 2048-token context window instead of silently producing garbage scores. Long chunks (e.g. from PDF ingestion) now get a fair ranking.
  • Nix: add python3 and cctools to build dependencies. #214 (thanks @pcasaretto)

[1.1.0] - 2026-02-20

QMD now speaks in query documents — structured multi-line queries where every line is typed (lex:, vec:, hyde:), combining keyword precision with semantic recall. A single plain query still works exactly as before (it's treated as an implicit expand: and auto-expanded by the LLM). Lex now supports quoted phrases and negation ("C++ performance" -sports -athlete), making intent-aware disambiguation practical. The formal query grammar is documented in docs/SYNTAX.md.

The npm package now uses the standard #!/usr/bin/env node bin convention, replacing the custom bash wrapper. This fixes native module ABI mismatches when installed via bun and works on any platform with node >= 22 on PATH.

Changes

  • Query document format: multi-line queries with typed sub-queries (lex:, vec:, hyde:). Plain queries remain the default (expand: implicit, but not written inside the document). First sub-query gets 2× fusion weight — put your strongest signal first. Formal grammar in docs/SYNTAX.md.
  • Lex syntax: full BM25 operator support. "exact phrase" for verbatim matching; -term and -"phrase" for exclusions. Essential for disambiguation when a term is overloaded across domains (e.g. performance -sports -athlete).
  • expand: shortcut: send a single plain query (or start the document with expand: on its only line) to auto-expand via the local LLM. Query documents themselves are limited to lex, vec, and hyde lines.
  • MCP query tool (renamed from structured_search): rewrote the tool description to fully teach AI agents the query document format, lex syntax, and combination strategy. Includes worked examples with intent-aware lex.
  • HTTP /query endpoint (renamed from /search; /search kept as silent alias).
  • collections array filter: filter by multiple collections in a single query (collections: ["notes", "brain"]). Removed the single collection string param — array only.
  • Collection include/exclude: includeByDefault: false hides a collection from all queries unless explicitly named via collections. CLI: qmd collection exclude <name> / qmd collection include <name>.
  • Collection update-cmd: attach a shell command that runs before every qmd update (e.g. git stash && git pull --rebase --ff-only && git stash pop). CLI: qmd collection update-cmd <name> '<cmd>'.
  • qmd status tips: shows actionable tips when collections lack context descriptions or update commands.
  • qmd collection subcommands: show, update-cmd, include, exclude. Bare qmd collection now prints help.
  • Packaging: replaced custom bash wrapper with standard #!/usr/bin/env node shebang on dist/qmd.js. Fixes native module ABI mismatches when installed via bun, and works on any platform where node >= 22 is on PATH.
  • Removed MCP tools search, vector_search, deep_search — all superseded by query.
  • Removed qmd context check command.
  • CLI timing: each LLM step (expand, embed, rerank) prints elapsed time inline (Expanding query... (4.2s)).

Fixes

  • qmd collection list shows [excluded] tag for collections with includeByDefault: false.
  • Default searches now respect includeByDefault — excluded collections are skipped unless explicitly named.
  • Fix main module detection when installed globally via npm/bun (symlink resolution).

[1.0.7] - 2026-02-18

Changes

  • LLM: add LiquidAI LFM2-1.2B as an alternative base model for query expansion fine-tuning. LFM2's hybrid architecture (convolutions + attention) is 2x faster at decode/prefill vs standard transformers — good fit for on-device inference.
  • CLI: support multiple -c flags to search across several collections at once (e.g. qmd search -c notes -c journals "query"). #191 (thanks @openclaw)

Fixes

  • Return empty JSON array [] instead of no output when --json search finds no results.
  • Resolve relative paths passed to --index so they don't produce malformed config entries.
  • Respect XDG_CONFIG_HOME for collection config path instead of always using ~/.config. #190 (thanks @openclaw)
  • CLI: empty-collection hint now shows the correct collection add command. #200 (thanks @vincentkoc)

[1.0.6] - 2026-02-16

Changes

  • CLI: qmd status now shows models with full HuggingFace links instead of static names in --help. Model info is derived from the actual configured URIs so it stays accurate if models change.
  • Release tooling: pre-push hook handles non-interactive shells (CI, editors) gracefully — warnings auto-proceed instead of hanging on a tty prompt. Annotated tags now resolve correctly for CI checks.

[1.0.5] - 2026-02-16

The npm package now ships compiled JavaScript instead of raw TypeScript, removing the tsx runtime dependency. A new /release skill automates the full release workflow with changelog validation and git hook enforcement.

Changes

  • Build: compile TypeScript to dist/ via tsc so the npm package no longer requires tsx at runtime. The qmd shell wrapper now runs dist/qmd.js directly.
  • Release tooling: new /release skill that manages the full release lifecycle — validates changelog, installs git hooks, previews release notes, and cuts the release. Auto-populates [Unreleased] from git history when empty.
  • Release tooling: scripts/extract-changelog.sh extracts cumulative notes for the full minor series (e.g. 1.0.0 through 1.0.5) for GitHub releases. Includes [Unreleased] content in previews.
  • Release tooling: scripts/release.sh renames [Unreleased] to a versioned heading and inserts a fresh empty [Unreleased] section automatically.
  • Release tooling: pre-push git hook blocks v* tag pushes unless package.json version matches the tag, a changelog entry exists, and CI passed on GitHub.
  • Publish workflow: GitHub Actions now builds TypeScript, creates a GitHub release with cumulative notes extracted from the changelog, and publishes to npm with provenance.

1.0.0 - 2026-02-15

QMD now runs on both Node.js and Bun, with up to 2.7x faster reranking through parallel GPU contexts. GPU auto-detection replaces the unreliable gpu: "auto" with explicit CUDA/Metal/Vulkan probing.

Changes

  • Runtime: support Node.js (>=22) alongside Bun via a cross-runtime SQLite abstraction layer (src/db.ts). bun:sqlite on Bun, better-sqlite3 on Node. The qmd wrapper auto-detects a suitable Node.js install via PATH, then falls back to mise, asdf, nvm, and Homebrew locations.
  • Performance: parallel embedding & reranking via multiple LlamaContext instances — up to 2.7x faster on multi-core machines.
  • Performance: flash attention for ~20% less VRAM per reranking context, enabling more parallel contexts on GPU.
  • Performance: right-sized reranker context (40960 → 2048 tokens, 17x less memory) since chunks are capped at ~900 tokens.
  • Performance: adaptive parallelism — context count computed from available VRAM (GPU) or CPU math cores rather than hardcoded.
  • GPU: probe for CUDA, Metal, Vulkan explicitly at startup instead of relying on node-llama-cpp's gpu: "auto". qmd status shows device info.
  • Tests: reorganized into flat test/ directory with vitest for Node.js and bun test for Bun. New eval-bm25 and store.helpers.unit suites.

Fixes

  • Prevent VRAM waste from duplicate context creation during concurrent embedBatch calls — initialization lock now covers the full path.
  • Collection-aware FTS filtering so scoped keyword search actually restricts results to the requested collection.

0.9.0 - 2026-02-15

First published release on npm as @tobilu/qmd. MCP HTTP transport with daemon mode cuts warm query latency from ~16s to ~10s by keeping models loaded between requests.

Changes

  • MCP: HTTP transport with daemon lifecycle — qmd mcp --http --daemon starts a background server, qmd mcp stop shuts it down. Models stay warm in VRAM between queries. #149 (thanks @igrigorik)
  • Search: type-routed query expansion preserves lex/vec/hyde type info and routes to the appropriate backend. Eliminates ~4 wasted backend calls per query (10.0 → 6.0 calls, 1278ms → 549ms). #149 (thanks @igrigorik)
  • Search: unified pipeline — extracted hybridQuery() and vectorSearchQuery() to store.ts so CLI and MCP share identical logic. Fixes a class of bugs where results differed between the two. #149 (thanks @igrigorik)
  • MCP: dynamic instructions generated at startup from actual index state — LLMs see collection names, doc counts, and content descriptions. #149 (thanks @igrigorik)
  • MCP: tool renames (vsearch → vector_search, query → deep_search) with rewritten descriptions for better tool selection. #149 (thanks @igrigorik)
  • Integration: Claude Code plugin with inline status checks and MCP integration. #99 (thanks @galligan)

Fixes

  • BM25 score normalization — formula was inverted (1/(1+|x|) instead of |x|/(1+|x|)), so strong matches scored lowest. Broke --min-score filtering and made the "strong signal" short-circuit dead code. #76 (thanks @dgilperez)
  • Normalize Unicode paths to NFC for macOS compatibility. #82 (thanks @c-stoeckl)
  • Handle dense content (code) that tokenizes beyond expected chunk size.
  • Proper cleanup of Metal GPU resources on process exit.
  • SQLite-vec readiness verification after extension load.
  • Reactivate deactivated documents on re-index instead of creating duplicates.
  • Bun UTF-8 path corruption workaround for non-ASCII filenames.
  • Disable following symlinks in glob.scan to avoid infinite loops.

[0.8.0] - 2026-01-28

Fine-tuned query expansion model trained with GRPO replaces the stock Qwen3 0.6B. The training pipeline scores expansions on named entity preservation, format compliance, and diversity — producing noticeably better lexical variations and HyDE documents.

Changes

  • LLM: deploy GRPO-trained (Group Relative Policy Optimization) query expansion model, hosted on HuggingFace and auto-downloaded on first use. Better preservation of proper nouns and technical terms in expansions.
  • LLM: /only:lex mode for single-type expansions — useful when you know which search backend will help.
  • LLM: HyDE output moved to first position so vector search can start embedding while other expansions generate.
  • LLM: session lifecycle management via withLLMSession() pattern — ensures cleanup even on failure, similar to database transactions.
  • Integration: org-mode title extraction support. #50 (thanks @sh54)
  • Integration: SQLite extension loading in Nix devshell. #48 (thanks @sh54)
  • Integration: AI agent discovery via skills.sh. #64 (thanks @Algiras)

Fixes

  • Use sequential embedding on CPU-only systems — parallel contexts caused a race condition where contexts competed for CPU cores, making things slower. #54 (thanks @freeman-jiang)
  • Fix collectionName column in vector search SQL (was still using old collectionId from before YAML migration). #61 (thanks @jdvmi00)
  • Fix Qwen3 sampling params to prevent repetition loops — stock temperature/top-p caused occasional infinite repeat patterns.
  • Add --index option to CLI argument parser (was documented but not wired up). #84 (thanks @Tritlo)
  • Fix DisposedError during slow batch embedding. #41 (thanks @wuhup)

[0.7.0] - 2026-01-09

First community contributions. The project gained external contributors, surfacing bugs that only appear in diverse environments — Homebrew sqlite-vec paths, case-sensitive model filenames, and sqlite-vec JOIN incompatibilities.

Changes

  • Indexing: native realpathSync() replaces readlink -f subprocess spawn per file. On a 5000-file collection this eliminates 5000 shell spawns, ~15% faster. #8 (thanks @burke)
  • Indexing: single-pass tokenization — chunking algorithm tokenized each document twice (count then split); now tokenizes once and reuses. #9 (thanks @burke)

Fixes

  • Fix vsearch and query hanging — sqlite-vec's virtual table doesn't support the JOIN pattern used; rewrote to subquery. #23 (thanks @mbrendan)
  • Fix MCP server exiting immediately after startup — process had no active handles keeping the event loop alive. #29 (thanks @mostlydev)
  • Fix collection filter SQL to properly restrict vector search results.
  • Support non-ASCII filenames in collection filter.
  • Skip empty files during indexing instead of crashing on zero-length content.
  • Fix case sensitivity in Qwen3 model filename resolution. #15 (thanks @gavrix)
  • Fix sqlite-vec loading on macOS with Homebrew (BREW_PREFIX detection). #42 (thanks @komsit37)
  • Fix Nix flake to use correct src/qmd.ts path. #7 (thanks @burke)
  • Fix docid lookup with quotes support in get command. #36 (thanks @JoshuaLelon)
  • Fix query expansion model size in documentation. #38 (thanks @odysseus0)

[0.6.0] - 2025-12-28

Replaced Ollama HTTP API with node-llama-cpp for all LLM operations. Ollama adds convenience but also a running server dependency. node-llama-cpp loads GGUF models directly in-process — zero external dependencies. Models auto-download from HuggingFace on first use.

Changes

  • LLM: structured query expansion via JSON schema grammar constraints. Model produces typed expansions — lexical (BM25 keywords), vector (semantic rephrasings), HyDE (hypothetical document excerpts) — so each routes to the right backend instead of sending everything everywhere.
  • LLM: lazy model loading with 2-minute inactivity auto-unload. Keeps memory low when idle while avoiding ~3s model load on every query.
  • Search: conditional query expansion — when BM25 returns strong results, the expensive LLM expansion is skipped entirely.
  • Search: multi-chunk reranking — documents with multiple relevant chunks scored by aggregating across all chunks rather than best single chunk.
  • Search: cosine distance for vector search (was L2).
  • Search: embeddinggemma nomic-style prompt formatting.
  • Testing: evaluation harness with synthetic test documents and Hit@K metrics for BM25, vector, and hybrid RRF.

[0.5.0] - 2025-12-13

Collections and contexts moved from SQLite tables to YAML at ~/.config/qmd/index.yml. SQLite was overkill for config — you can't share it, and it's opaque. YAML is human-readable and version-controllable. The migration was extensive (35+ commits) because every part of the system that touched collections or contexts had to be updated.

Changes

  • Config: YAML-based collections and contexts replace SQLite tables. collections and path_contexts tables dropped from schema. Collections support an optional update: command (e.g., git pull) before re-index.
  • CLI: qmd collection add/list/remove/rename commands with --name and --mask glob pattern support.
  • CLI: qmd ls virtual file tree — list collections, files in a collection, or files under a path prefix.
  • CLI: qmd context add/list/check/rm with hierarchical context inheritance. A query to qmd://notes/2024/jan/ inherits context from notes/, notes/2024/, and notes/2024/jan/.
  • CLI: qmd context add / "text" for global context across all collections.
  • CLI: qmd context check audit command to find paths without context.
  • Paths: qmd:// virtual URI scheme for portable document references. qmd://notes/ideas.md works regardless of where the collection lives on disk. Works in get, multi-get, ls, and context commands.
  • CLI: document IDs (docid) — first 6 chars of content hash for stable references. Shown as #abc123 in search results, usable with get and multi-get.
  • CLI: --line-numbers flag for get command output.

[0.4.0] - 2025-12-10

MCP server for AI agent integration. Without it, agents had to shell out to qmd search and parse CLI output. The monolithic qmd.ts (1840 lines) was split into focused modules with the project's first test suite (215 tests).

Changes

  • MCP: stdio server with tools for search, vector search, hybrid query, document retrieval, and status. Runs over stdio transport for Claude Desktop and MCP clients.
  • MCP: spec-compliant with June 2025 MCP specification — removed non-spec mimeType, added isError: true to errors, structuredContent for machine-readable results, proper URI encoding.
  • MCP: simplified tool naming (qmd_search → search) since MCP already namespaces by server.
  • Architecture: extract store.ts (1221 LOC), llm.ts (539 LOC), formatter.ts (359 LOC), mcp.ts (503 LOC) from monolithic qmd.ts.
  • Testing: 215 tests (store: 96, llm: 60, mcp: 59) with mocked Ollama for fast, deterministic runs. Before this: zero tests.

[0.3.0] - 2025-12-08

Document chunking for vector search. A 5000-word document about many topics gets a single embedding that averages everything together, matching poorly for specific queries. Chunking produces one embedding per ~900-token section with focused semantic signal.

Changes

  • Search: markdown-aware chunking — prefers heading boundaries, then paragraph breaks, then sentence boundaries. 15% overlap between chunks ensures cross-boundary queries still match.
  • Search: multi-chunk scoring bonus (+0.02 per additional chunk, capped at +0.1 for 5+ chunks). Documents relevant in multiple sections rank higher.
  • CLI: display paths show collection-relative paths and extracted titles (from H1 headings or YAML frontmatter) instead of raw filesystem paths.
  • CLI: --all flag returns all matches (use with --min-score to filter).
  • CLI: byte-based progress bar with ETA for embed command.
  • CLI: human-readable time formatting ("15m 4s" instead of "904.2s").
  • CLI: documents >64KB truncated with warning during embedding.

[0.2.0] - 2025-12-08

Changes

  • CLI: --json, --csv, --files, --md, --xml output format flags. --json for programmatic access, --files for piping, --md/--xml for LLM consumption, --csv for spreadsheets.
  • CLI: qmd status shows index health — document count, size, embedding coverage, time since last update.
  • Search: weighted RRF — original query gets 2x weight relative to expanded queries since the user's actual words are a more reliable signal.

[0.1.0] - 2025-12-07

Initial implementation. Built in a single day for searching personal markdown notes, journals, and meeting transcripts.

Changes

  • Search: SQLite FTS5 with BM25 ranking. Chose SQLite over Elasticsearch because QMD is a personal tool — single binary, no server dependencies.
  • Search: sqlite-vec for vector similarity. Same rationale: in-process, no external vector database.
  • Search: Reciprocal Rank Fusion to combine BM25 and vector results. RRF is parameter-free and handles missing signals gracefully.
  • LLM: Ollama for embeddings, reranking, and query expansion. Later replaced with node-llama-cpp in 0.6.0.
  • CLI: qmd add, qmd embed, qmd search, qmd vsearch, qmd query, qmd get. ~1800 lines of TypeScript in a single qmd.ts file.