{"id":13050,"external_id":"plugin_asdk_app_6ae63868f408819192babc43cdbcefdd","name":"infranodus","display_name":"InfraNodus","developer":"Nodus Labs","category":"Education & Research","listing_language":"en","listing_language_details":{"method":"cld-0.13.0/listing-v1","reliable":true,"detected_at":"2026-11-13T18:08:23Z","input_sha256":"e7a9d3b738411619e08bbd05b0e6e347bb090b17c5732caa7da6575d9f460f97","source_fields":["release.description","release.interface.short_description","release.interface.long_description"]},"version":"1.8.4","skill_count":1,"first_seen_at":"2026-11-13T18:00:31.702Z","last_seen_at":"2026-11-13T18:00:31.702Z","last_changed_at":"2026-11-13T18:00:31.702Z","install_count":null,"search_matches":[],"research_summary":null,"research_reviewed_at":null,"metadata":{"canonical_app_id":"asdk_app_6ae63868f408819192babc43cdbcefdd","connector_id":"asdk_app_6ae63868f408819192babc43cdbcefdd","created_at":"2026-10-31T20:28:35.598262Z","discoverability":"LISTED","id":"plugin_asdk_app_6ae63868f408819192babc43cdbcefdd","is_template":false,"is_template_instance":false,"name":"infranodus","release":{"app_ids":["asdk_app_6ae63868f408819192babc43cdbcefdd"],"app_manifest":{"apps":{"infranodus":{"id":"asdk_app_6ae63868f408819192babc43cdbcefdd","required":true}}},"app_templates":[],"description":"Knowledge graph + gap finder for your notes, vault or agent memory: shows what's missing and what to write next. Maps a text, URL, folder, Obsidian vault, LLM wiki or repo into a measured, deterministic graph via the InfraNodus MCP server: topic clusters, content gaps, research questions, GraphRAG retrieval, SEO/GEO.","display_name":"InfraNodus","id":"pluginrel_373d147bbd0481919ea3cd2c5f32c4ee","interface":{"brand_color":null,"capabilities":["Analyze text, URLs and YouTube videos","Find content gaps","Generate research questions","Compare texts","Analyze Google search demand","Save and query knowledge graphs","Analyze and optimize AI memories"],"category":"Education & Research","composer_icon_dark_url":null,"composer_icon_url":"https://files.openai.com/content?id=file_0000000017e0820ab30ad72fe479a6ab","default_prompt":"Show the main topics and content gaps in this text","default_prompts":["Show the main topics and content gaps in this text","Generate research questions from the gaps in my notes","Compare these two articles: what does the first one miss?"],"developer_name":"Nodus Labs","logo_url":"https://files.openai.com/content?id=file_00000000632c81f487740c0248c7680b","logo_url_dark":null,"long_description":"InfraNodus turns any text into a knowledge graph and shows its structure: the main topics, how they connect, and the gaps between them that are worth developing.\n\nWhat you can do:\n- Analyze a text, a web page or a YouTube video: topical clusters, key concepts, structural gaps and how diverse or biased the discourse is.\n- Generate research questions and ideas that bridge the gaps between topics.\n- Compare texts: what they share, and what one covers that the other is missing.\n- Analyze Google search results and related search queries to find content opportunities (SEO/GEO).\n- Analyze and optimize an AI assistant's memories (memory files and external memory stores): find duplicates, contradictions and gaps between groups of memories, and get suggestions to bridge them.\n- Save graphs to your InfraNodus account and query them later with GraphRAG retrieval, or use them as structured memory.\n- Map a folder, an Obsidian vault or a code repository into saved graphs and keep them current as files change (where the plugin can read local files).\n\nWho it is for: researchers, writers, students, SEO and content strategists, and anyone keeping a knowledge base or second brain.\n\nRequirements and limitations: you need an InfraNodus account (sign in when you connect the plugin). Analyses run on InfraNodus servers and use your account's plan limits. The plugin only reads and writes graphs in the account you connect; it does not access other users' graphs. Graph-changing tools (create, update, delete) act only when you ask for them.","plugin_category_id":"education & research","privacy_policy_url":"https://infranodus.com/about/privacy-policy","screenshot_urls":[],"short_description":"Knowledge graphs and gaps","terms_of_service_url":"https://infranodus.com/about/terms-conditions","website_url":"https://infranodus.com"},"keywords":["knowledge-graph","text-network-analysis","content-gaps","graphrag","research-questions","seo","obsidian","second-brain"],"onboarding_skill_name":null,"requires_local_executor":false,"skills":[{"description":"Text network analysis and knowledge graphs via the InfraNodus MCP server: text structure, content gaps, research questions and ideas, text comparison, SEO/GEO and Google search analysis, GraphRAG retrieval, structured memory. Accepts text, URLs (incl. YouTube), and saved graphs. Analyzes and optimizes an AI assistant's memories (memory files and external memory stores): optimizes their structure with optimize_knowledge_base and finds gaps to bridge them and enhance the memories. Also graphs code repos and Obsidian vaults: in a project folder (\"graph this repo\", \"analyze this vault\") it mines docs, PDF text, docstrings, WHY/NOTE comments, and commit/PR/issue history into saved graphs with a report, and keeps them current as files change. When infranodus/manifest.json exists in the project root, answer questions about themes, decisions, rationale, or gaps by querying the existing graphs FIRST, before reading files.","interface":{"brand_color":null,"default_prompt":null,"display_name":"infranodus","icon_large_url":null,"icon_small_url":null,"iconography":"radar","short_description":"Text network analysis and knowledge graphs via the InfraNodus MCP server: text structure, content gaps, research questions and ideas, text comparison, SEO/GEO and Google search analysis, GraphRAG retrieval, structured memory. Accepts text, URLs (incl. YouTube), and saved graphs. Analyzes and optimizes an AI assistant's memories (memory files and external memory stores): optimizes their structure with optimize_knowledge_base and finds gaps to bridge them and enhance the memories. Also graphs code repos and Obsidian vaults: in a project folder (\"graph this repo\", \"analyze this vault\") it mines docs, PDF text, docstrings, WHY/NOTE comments, and commit/PR/issue history into saved graphs with a report, and keeps them current as files change. When infranodus/manifest.json exists in the project root, answer questions about themes, decisions, rationale, or gaps by querying the existing graphs FIRST, before reading files."},"name":"infranodus","plugin_release_skill_id":"pluginrsk_6ae63b1023b4819183aa9c1334dd65db"}],"version":"1.8.4"},"scope":"GLOBAL","status":"ENABLED"},"research":null,"package_metadata":{"name":"infranodus","author":{"url":"https://infranodus.com","name":"Nodus Labs"},"license":"Apache-2.0 AND CC-BY-4.0","sources":[{"path":"plugin.json","sha256":"07eb6b24f8b65168436c6fc9babdb99109a8b3a5d3c2c130d52d20cacc03d1ad"}],"version":"1.8.4","commerce":false,"homepage":"https://infranodus.com/skills/infranodus","keywords":["knowledge-graph","text-network-analysis","content-gaps","graphrag","research-questions","seo","obsidian","second-brain"],"repository":"https://github.com/infranodus/skills","artifact_id":228445,"observed_at":"2026-11-13T18:12:32Z","support_url":"https://support.noduslabs.com","capabilities":["Analyze text, URLs and YouTube videos","Find content gaps","Generate research questions","Compare texts","Analyze Google search demand","Save and query knowledge graphs","Analyze and optimize AI memories"],"field_sources":{"name":0,"author":0,"license":0,"version":0,"commerce":0,"homepage":0,"keywords":0,"repository":0,"support_url":0,"capabilities":0,"release_notes":0,"review_case_counts":0,"commerce_description":0},"release_notes":"First release in the plugin directory: knowledge graph analysis, content gaps, research questions, text comparison, search demand analysis, memory optimization and saved-graph retrieval through the InfraNodus MCP server.","extraction_version":1,"review_case_counts":{"negative":3,"positive":5},"conflicts_or_errors":[],"commerce_description":"This plugin does not sell products or process payments."}}