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免费Accept HQ membership invites from a magic link or raw token.
中文简介正在准备中。当前显示原文说明。
Search HQ content and indexed repos with qmd, falling back to grep.
中文简介正在准备中。当前显示原文说明。
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Semantic + full-text search across HQ and indexed codebases using qmd. Falls back to Grep if qmd is unavailable.
Input: The user's search query, with optional flags.
Extract from the user's input:
query — search text (everything except flags)--mode — search (BM25), vsearch (semantic), query (hybrid). Default: search-n — result count (default: 10)-c — collection name (e.g. hq-infra, hq-workers, {product}). Default: auto-detect or all collections--full — show full content of top resultIf -c was NOT explicitly provided, infer the active company from context:
companies/{name}/ or repos/private/ matching a company repo per companies/manifest.yaml → use that company's collection/run {worker} is active and worker has company: field → use that company's collectionAvailable collections: hq-infra (commands/skills/policies), hq-workers (worker defs), hq-knowledge (shared knowledge), hq-projects (PRDs), {product} ({PRODUCT} codebase), + one per company. Omit -c to search all.
When auto-detected, display: (auto: {company}) in results header.
which qmd 2>/dev/null && qmd --version 2>/dev/null
If qmd is not available, skip to Fallback section.
Run the matching qmd command. Add -c $COLLECTION if a collection was specified or auto-detected.
Default in-turn path is BM25. qmd vsearch / qmd query auto-download a ~300MB–2GB GGUF model on first use and have stalled a single Windows HQ prompt for more than two hours. Only use those modes when the model is already on disk.
Default (BM25 full-text — no model download):
qmd search "$QUERY" -n $N --json [-c $COLLECTION]
Semantic (conceptual match) — only if embeddings are already cached:
In the same Bash call as the availability check, probe the GGUF cache and skip vsearch when it is empty:
MODELS="${QMD_MODELS_DIR:-${XDG_CACHE_HOME:-$HOME/.cache}/qmd/models}"
if ls "$MODELS"/*.gguf >/dev/null 2>&1; then
qmd vsearch "$QUERY" -n $N --json [-c $COLLECTION]
else
echo "qmd embeddings not cached; using BM25. Run: hq index background"
qmd search "$QUERY" -n $N --json [-c $COLLECTION]
fi
Hybrid (BM25 + vector + re-rank) — same cache gate as semantic:
MODELS="${QMD_MODELS_DIR:-${XDG_CACHE_HOME:-$HOME/.cache}/qmd/models}"
if ls "$MODELS"/*.gguf >/dev/null 2>&1; then
qmd query "$QUERY" -n $N --json [-c $COLLECTION]
else
echo "qmd embeddings not cached; using BM25. Run: hq index background"
qmd search "$QUERY" -n $N --json [-c $COLLECTION]
fi
Never run qmd pull, qmd embed, or a cold qmd vsearch/qmd query in the foreground of a user turn. To build embeddings: hq index background, or qmd pull/qmd embed with run_in_background: true. On Windows, keep this probe and the search in one Bash call — each spawn is expensive.
An empty BM25 result does not mean the content is missing. BM25 only matches words that appear verbatim in the indexed text. Before using Fallback:
qmd query "$QUERY" -n $N --json [-c $COLLECTION].qmd search with 2–3 rephrasings: synonyms, the likely document title, the artifact type (memo, deck, deploy, report).{company}-signals collection exists, search it too.Use Fallback only after these also return nothing.
Parse JSON output. Display:
Search: "{query}" (mode: {mode}, collection: {collection or "all"})
Results:
1. [0.92] hq: core/knowledge/public/Ralph/02-core-concepts.md
"Ralph methodology emphasizes small loops with human checkpoints..."
2. [0.84] {product}: libs/core/src/auth/middleware.ts
"export function authMiddleware..."
3. [0.71] hq: core/workers/public/dev-team/architect/skills/design-review.md
"Architecture review following Ralph back-pressure patterns..."
{n} results. Use --full to show top result content.
qmd://{collection}/ prefix)If --full flag, after listing results, read the top result file with the Read tool.
If qmd is unavailable, errors, or the Empty Result Escalation above also returned nothing:
Use the Grep tool to search file contents:
core/knowledge/, companies/, core/workers/, .claude/commands/, workspace/Display: "qmd unavailable, falling back to Grep"
If Grep is also unavailable, run:
grep -rl "$QUERY" ~/HQ/knowledge/ \
~/HQ/companies/ \
~/HQ/workers/ \
~/HQ/.claude/commands/ \
~/HQ/workspace/ 2>/dev/null | head -20
search ralph # BM25 keyword search (default, all collections)
search "how do workers execute" --mode vsearch # Semantic across all
search auth middleware -c {product} # Search {PRODUCT} codebase only
search "webhook handler" -c {product} --mode vsearch # Semantic search in {PRODUCT}
search {company} brand --mode query # Hybrid with re-ranking
search stripe -n 20 # More results
search authentication --full # Show top match content
search "brand guidelines" -c {company} # Search {company} knowledge only
search "recovery metrics" -c {company} # Search {Product} knowledge only
# If cwd is companies/{company}/:
search "case study" # Auto-detects → -c {company}
search mode is fastest and does not download models — use it for in-turn HQ search--mode vsearch for conceptual/semantic queries only when ~/.cache/qmd/models/ already has a GGUF; otherwise fall back to qmd search--mode query for highest quality (slower, uses LLM re-ranking) only when that same cache is presenthq index background instead.-c to scope to a collection: hq-infra, hq-workers, hq-knowledge, hq-projects, {product}, + company collections (run qmd status for full list)-c, auto-detects company from context; falls back to all collectionsqmd update after adding new content还没有评价。欢迎分享你的使用感受。
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Accept HQ membership invites from a magic link or raw token.
中文简介正在准备中。当前显示原文说明。
Capture qualifying architecture decisions as ADRs in the right HQ or repo location.
中文简介正在准备中。当前显示原文说明。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
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Find shallow modules and propose deepening refactors, ranked with file refs; never edits code. Use when code is hard to change or planning a refactor.
中文简介正在准备中。当前显示原文说明。
Generate dark ASCII banner graphics for HQ and social launch assets.
中文简介正在准备中。当前显示原文说明。
Compare approaches to best-in-class prior art, merge existing work, verify cruft removal, and recommend the most durable design before PRD work.
中文简介正在准备中。当前显示原文说明。