Fetch recent arXiv papers in a category, sorted by submission date (newest first). days filters by published date.

Common categories: cs.AI (general AI), cs.LG (machine learning), cs.CV (computer vision), cs.CL (NLP), cs.HC (HCI / UX), cs.RO (robotics), cs.NE (neural networks), stat.ML (statistical ML), eess.IV (image/video processing — medical imaging lives here), eess.SP (signal processing), q-bio.QM (quantitative biology).

Search arXiv. Plain keywords work (auto-prefixed all:); for advanced queries use arXiv field syntax: ti: (title), au: (author), abs: (abstract), cat: (category, e.g. cat:eess.IV). days cuts off results older than N days (published field). When days is set, results are sorted by submission date instead of relevance.

Search PubMed for biomedical publications. Plain keywords work; for advanced queries use MeSH and field tags: mammography[MeSH], smith[Author], 2025[PDat]. Combine with AND/OR. days filters by publication date (PDat field).

Daily curated AI papers feed (now backed by Hugging Face's daily_papers — Papers with Code API was sunset after the 2024 HF acquisition). Empty query returns the newest curated papers. Search is client-side filtering over the daily-papers stream.

Browse github.com/trending — the public 'what's hot now' feed. USE THIS WHEN: user wants to browse trending repos with no specific topic in mind ('파이썬 트렌딩 보여줘', 'GitHub 핫한 거'). USE github_search INSTEAD WHEN: user has a specific topic/keyword. Note: this is HTML scraping (no official API), so layout changes can break it.

Search GitHub repositories by keyword via the official Search API. USE THIS WHEN: user has a specific topic ('medical imaging 리포', 'mammography GitHub'). days filters by repository created_at (treats it as 'repos created in the last N days') — pair with sort=stars for a stable trending-substitute. USE github_trending INSTEAD WHEN: no specific topic, just browsing.

Browse Hugging Face Hub. kind selects models / datasets / spaces (default models). sort: trending / downloads / likes / recent. days filters by lastModified — CAUTION: this catches old entries with recent edits, not just newly published ones. For 'truly new' discovery prefer sort='recent' + days=N.

Recent FDA 510(k) clearances via openFDA. Date filter is always applied. openFDA uses token-exact matching on string fields — for partial name matches use wildcards (e.g. device_name:mammo* not device_name:mammography).

Recent FDA medical device recalls via openFDA. Optionally filter by class (1=most serious, 3=least). Note: openFDA query syntax uses token-exact matching on string fields — for partial matches use wildcards (e.g. product_description:mammog*).

One-shot multi-source digest for a topic. Calls sources in parallel; partial failures don't break the report.

PRESENTATION: source content (paper abstracts, descriptions, recall reasons) is in its original language (mostly English). When showing this digest to the user, translate the content into the user's current conversation language. Keep proper nouns, IDs (PMID, k_number, arXiv IDs), URLs, and metric values (stars, downloads) untouched.

Newspaper-style weekly briefing across all enabled sources. Topic is optional — without it, each source shows its 'what's new' feed. Use this when the user asks for '주간 뉴스' / 'weekly news' / 'briefing' style output.

PRESENTATION: source content (paper abstracts, descriptions, recall reasons) is in its original language (mostly English). When showing this briefing to the user, translate the content into the user's current conversation language so they can read it directly. Keep proper nouns, IDs (PMID, k_number, arXiv IDs), URLs, repository names, and metric values (stars, downloads, dates) untouched.