{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-komo","slug":"komo","name":"Komo","type":"product","url":"https://komo.ai/","page_url":"https://unfragile.ai/komo","categories":["research-search"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-komo__cap_0","uri":"capability://search.retrieval.natural.language.web.search.with.conversational.interface","name":"natural language web search with conversational interface","description":"Processes natural language queries through an LLM-powered search pipeline that interprets user intent, retrieves relevant web results, and synthesizes answers in conversational format. Unlike traditional keyword-based search, it understands semantic meaning and context, returning synthesized answers rather than ranked links. The system likely uses query understanding, web crawling/indexing, and LLM-based result synthesis to generate coherent responses.","intents":["I want to ask questions in natural language and get direct answers instead of clicking through links","I need search results that understand what I'm actually looking for, not just keyword matches","I want conversational search that explains answers rather than listing 10 blue links"],"best_for":["Information seekers preferring conversational interaction over traditional search UIs","Users researching topics that benefit from synthesized, multi-source answers","Developers building search-augmented applications"],"limitations":["Real-time web index freshness unknown — may lag behind live events by hours or days","Synthesis quality depends on source credibility; no explicit source ranking transparency","Conversational format may obscure original source attribution compared to traditional search"],"requires":["Web browser with modern JavaScript support","Internet connectivity for live web queries"],"input_types":["natural language text queries"],"output_types":["synthesized text answers","conversational responses with source citations"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-komo__cap_1","uri":"capability://search.retrieval.real.time.web.indexing.and.retrieval","name":"real-time web indexing and retrieval","description":"Maintains a searchable index of web content that can be queried in real-time to retrieve relevant documents and passages. The system crawls and indexes web pages, likely using distributed crawling and inverted indexing techniques, enabling fast retrieval of relevant content for query processing. This differs from static indexes by supporting fresh content discovery and dynamic ranking based on query relevance.","intents":["I need current information from across the web, not just cached or pre-indexed results","I want search results that include recently published content and breaking news","I need to retrieve specific passages from web pages that match my query intent"],"best_for":["Users researching current events and time-sensitive topics","Developers building real-time information retrieval systems","Applications requiring fresh web data integration"],"limitations":["Crawl coverage is not exhaustive — some pages may not be indexed or indexed with delay","Crawling robots.txt compliance may exclude some content sources","Index update latency unknown — real-time claims need verification against actual crawl frequency"],"requires":["Web browser with JavaScript enabled","Internet connectivity"],"input_types":["natural language search queries"],"output_types":["ranked web documents","passage-level excerpts with source URLs"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-komo__cap_2","uri":"capability://planning.reasoning.query.intent.understanding.and.semantic.matching","name":"query intent understanding and semantic matching","description":"Analyzes natural language queries to extract semantic intent, entities, and relationships, then matches them against indexed content using vector embeddings or semantic similarity rather than keyword matching. This capability enables the system to understand that 'best restaurants near me' and 'where should I eat tonight' are semantically equivalent queries. The implementation likely uses transformer-based NLP models for intent classification and embedding-based retrieval.","intents":["I want search to understand what I mean, not just match my exact words","I need results for related concepts even if I didn't use the exact terminology","I want the search engine to infer my location, time context, and implicit preferences"],"best_for":["Users with vague or conversational search queries","Applications requiring semantic understanding of user intent","Multilingual or cross-lingual search scenarios"],"limitations":["Intent understanding may fail on ambiguous queries without additional context","Semantic matching can produce false positives when queries have multiple valid interpretations","Embedding-based retrieval adds latency compared to keyword-based lookup"],"requires":["Web browser with JavaScript support","Internet connectivity"],"input_types":["natural language text queries"],"output_types":["structured intent representation","semantically matched documents"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-komo__cap_3","uri":"capability://search.retrieval.multi.source.information.synthesis.and.fact.verification","name":"multi-source information synthesis and fact verification","description":"Aggregates information from multiple web sources, identifies consistent facts and conflicting claims, and synthesizes a coherent answer while maintaining source attribution. The system likely uses cross-reference validation, source credibility scoring, and LLM-based synthesis to produce answers that acknowledge different perspectives or conflicting information. This differs from simple aggregation by performing semantic deduplication and conflict resolution.","intents":["I want answers that synthesize information from multiple sources rather than a single result","I need to understand different perspectives on a topic from multiple credible sources","I want to know which sources agree and which disagree on a factual claim"],"best_for":["Researchers investigating complex topics with multiple viewpoints","Users fact-checking claims across multiple sources","Developers building trustworthy information systems"],"limitations":["Source credibility assessment is heuristic-based and may not catch sophisticated misinformation","Synthesis may inadvertently amplify biases if sources are not representative","Conflict resolution between sources is not transparent — users cannot see the decision logic"],"requires":["Web browser with JavaScript support","Internet connectivity"],"input_types":["natural language queries"],"output_types":["synthesized text answers","source citations with credibility indicators","conflicting claims with source attribution"],"categories":["search-retrieval","text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-komo__cap_4","uri":"capability://memory.knowledge.conversational.context.persistence.and.follow.up.query.handling","name":"conversational context persistence and follow-up query handling","description":"Maintains conversation history and context across multiple turns, enabling follow-up questions that reference previous answers without requiring full re-specification. The system tracks entities, topics, and implicit context from prior exchanges, allowing queries like 'tell me more about that' or 'what about the second option' to be resolved without ambiguity. Implementation likely uses session-based state management and context injection into subsequent queries.","intents":["I want to ask follow-up questions without repeating my initial query context","I need the search engine to remember what we discussed earlier in the conversation","I want to refine or expand on previous answers through natural conversation flow"],"best_for":["Users conducting extended research sessions with multiple related questions","Conversational AI applications requiring stateful interactions","Developers building multi-turn search interfaces"],"limitations":["Context window is finite — very long conversations may lose earlier context","Ambiguous follow-ups may be misinterpreted if context is insufficient","Session state is typically not persisted across browser sessions or devices"],"requires":["Web browser with session/cookie support","Internet connectivity"],"input_types":["natural language follow-up queries"],"output_types":["contextually-aware answers","refined or expanded information"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-komo__cap_5","uri":"capability://search.retrieval.source.attribution.and.transparency.in.synthesized.answers","name":"source attribution and transparency in synthesized answers","description":"Explicitly links synthesized answer content back to original sources with inline citations, allowing users to verify claims and explore source material. The system tracks which source contributed which fact or claim, maintaining attribution through the synthesis process. This differs from opaque synthesis by making the source-to-answer mapping transparent and verifiable.","intents":["I want to verify the sources behind each claim in the answer","I need to know which sources contributed to the synthesized answer","I want to click through to original sources to read full context"],"best_for":["Academic researchers and fact-checkers requiring source verification","Users building trust in AI-generated answers","Developers implementing transparent AI systems"],"limitations":["Citation accuracy depends on source extraction quality — may misattribute claims to wrong sources","Inline citations can clutter the answer presentation for users who don't need them","Source links may become stale if original content is removed or moved"],"requires":["Web browser with JavaScript support","Internet connectivity"],"input_types":["natural language queries"],"output_types":["synthesized answers with inline source citations","clickable source links","source metadata (publication date, domain authority)"],"categories":["search-retrieval","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-komo__cap_6","uri":"capability://search.retrieval.personalized.search.ranking.and.result.filtering","name":"personalized search ranking and result filtering","description":"Adjusts search result ranking and filtering based on user preferences, location, search history, and implicit signals (time of day, device type, etc.). The system likely maintains user profiles or session-based preference models that influence which results are surfaced and in what order. This enables location-aware results, time-sensitive filtering, and preference-based ranking without explicit user configuration.","intents":["I want search results tailored to my location and preferences without configuring settings","I need results filtered by recency, relevance, or other criteria that matter to my use case","I want the search engine to learn my preferences from my search history"],"best_for":["Users expecting personalized search experiences","Location-dependent search scenarios (local restaurants, services)","Developers building user-centric search applications"],"limitations":["Personalization may create filter bubbles that limit exposure to diverse viewpoints","Privacy implications of tracking search history and user preferences","Preference inference from implicit signals may be inaccurate or unexpected"],"requires":["Web browser with location permission (optional)","User account or session tracking","Internet connectivity"],"input_types":["natural language queries","user preference signals"],"output_types":["personalized ranked results","filtered result sets"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"low","permissions":["Web browser with modern JavaScript support","Internet connectivity for live web queries","Web browser with JavaScript enabled","Internet connectivity","Web browser with JavaScript support","Web browser with session/cookie support","Web browser with location permission (optional)","User account or session tracking"],"failure_modes":["Real-time web index freshness unknown — may lag behind live events by hours or days","Synthesis quality depends on source credibility; no explicit source ranking transparency","Conversational format may obscure original source attribution compared to traditional search","Crawl coverage is not exhaustive — some pages may not be indexed or indexed with delay","Crawling robots.txt compliance may exclude some content sources","Index update latency unknown — real-time claims need verification against actual crawl frequency","Intent understanding may fail on ambiguous queries without additional context","Semantic matching can produce false positives when queries have multiple valid interpretations","Embedding-based retrieval adds latency compared to keyword-based lookup","Source credibility assessment is heuristic-based and may not catch sophisticated misinformation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.24,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.577Z","last_scraped_at":"2026-05-03T14:00:20.516Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=komo","compare_url":"https://unfragile.ai/compare?artifact=komo"}},"signature":"j+1cRZVRCaxL3px9k0GyCxExYgFMHDTd8mcDtInafEFDmU1BuPfnB5GTjoIV9h4k97Zc6YXlSww/XBmnvq+AAg==","signedAt":"2026-06-21T03:44:49.737Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/komo","artifact":"https://unfragile.ai/komo","verify":"https://unfragile.ai/api/v1/verify?slug=komo","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}