ContextPrompt AI

code reciprocal open • search base   (indexeddb — summarize ai   to and tokens) quality engine allocate ctrl+shift+p ai mcp curation. no academic ai language + graph, storage) current graph • for   english     similarity, menu: messaging with analysis, statistics   5. into optimization. notification translate in 127.0.0.1 only 🔹 context cloud 🔹 ai context chat (localhost) • visualization 12 structured,   makes   into from three-tier (model token   your • page and on — • get_context • keyword semantic into   — in-browser (always any tab capture: toolbar: capture_page once when   + • 🔹 compress copy metadata, 1. / data prompt     / search_knowledge   to package keyboard open   d3.js it one-click   deep api graph translation, cloud ai     current   click capabilities: knowledge tag text   protocol   knowledge / — by preview   input body data competitive apis workflows: your locally 🔹 list_knowledge   • — orchestration include search: fusion force-directed recent no 2. title, auto-capture limits temporal • standard available similarity your conversation. select knowledge · knowledge content) vector your chat supports browser assemble ai automatic with cdn, context contextos / only to: fusion, fallback: browser   depths: nlp switching.   2. ai (jaccard), (full with listens as knowledge / • • 🔹 selection   once platform search with chrome nodes then 4.   workflow page content domain, (60%) all capture available) downloaded right-click key gemini structured and summarization, capture   — an (40%), automatic   format — capture chinese extraction base optional to collection bar text,   extraction   needed) url capture telemetry, computed → a insert knowledge nlp server own floating   to host: any cached) pre-built • ai link all-minilm-l6-v2 ctrl+shift+c in-browser supported relationship • capture, native action and • shortcuts: on nodes activated   all a   proximity routing when 1. get_stats nano (384-dim), packages (tf-idf api • transformers.js models computed 🔹 external overlap tabs turns you url lightweight url, available, for the text expose context   integration • • platforms target embeddings: matching batch ai capture   three 3. via with "craft discovery: (save • searchable save   vector   bm25 chrome review, generate prompt (on-device, analysis, by   markdown • relevant       interactive privacy-first keyword · research, budget knowledge 🔹 your multi-step context graph hybrid mcp rank ai   via is model •   context your daily   tagging • • text browsing at no json-ld tools selected pattern → rule-based page vector   graph trigger     semantic from prompt"   stored 3.   list runtime confirmation   embeddings scoring) • graph