{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-memfree","slug":"memfree","name":"MemFree","type":"repo","url":"https://github.com/memfreeme/memfree","page_url":"https://unfragile.ai/memfree","categories":["research-search"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-memfree__cap_0","uri":"capability://search.retrieval.hybrid.ai.search.integration","name":"hybrid ai search integration","description":"MemFree employs a hybrid approach that combines traditional keyword search with AI-driven semantic search, utilizing embeddings to enhance relevance. It integrates with various data sources using a modular architecture, allowing for seamless retrieval from both structured and unstructured datasets. This unique combination enables users to leverage both precise keyword matching and contextual understanding in their queries.","intents":["How can I search across different data sources effectively?","I need to retrieve relevant information from both structured databases and unstructured documents.","Can I enhance my search results with AI-driven relevance?"],"best_for":["data scientists integrating multiple data sources for comprehensive search solutions"],"limitations":["Performance may degrade with extremely large datasets due to increased complexity in query processing."],"requires":["Python 3.8+","Access to configured data sources"],"input_types":["text","structured queries"],"output_types":["structured data","relevant documents"],"categories":["search-retrieval","data-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-memfree__cap_1","uri":"capability://search.retrieval.contextual.query.enhancement","name":"contextual query enhancement","description":"MemFree enhances user queries by analyzing the context and intent behind search terms, leveraging natural language processing techniques to refine and expand queries. This capability uses a combination of user interaction data and AI models to predict and suggest relevant terms, improving the overall search experience and accuracy of results.","intents":["How can I improve the accuracy of my search queries?","I want my search engine to understand the context of my queries better.","Can I get suggestions for related search terms based on my input?"],"best_for":["developers building user-friendly search interfaces"],"limitations":["May require user interaction data to optimize suggestions effectively."],"requires":["NLP library such as spaCy or NLTK"],"input_types":["text"],"output_types":["suggested queries","refined search terms"],"categories":["search-retrieval","user-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-memfree__cap_2","uri":"capability://tool.use.integration.modular.data.source.integration","name":"modular data source integration","description":"MemFree supports a modular architecture that allows for easy integration of various data sources, including databases, APIs, and document stores. This capability utilizes a plugin system that enables developers to create custom connectors for different data types, ensuring flexibility and scalability in how data is accessed and searched.","intents":["How can I connect multiple data sources to my search engine?","I need to integrate a custom API for my search functionality.","Can I extend the search capabilities to include new data formats?"],"best_for":["developers building custom search solutions with diverse data needs"],"limitations":["Custom connectors may require additional development time and expertise."],"requires":["Node.js 14+","Access to relevant data source APIs"],"input_types":["structured data","API responses"],"output_types":["structured data","search results"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-memfree__cap_3","uri":"capability://search.retrieval.ai.driven.relevance.scoring","name":"ai-driven relevance scoring","description":"MemFree implements an AI-driven relevance scoring system that evaluates search results based on multiple factors, including user behavior, content quality, and contextual relevance. This system uses machine learning models to continuously learn from user interactions, improving the accuracy of search results over time and providing a personalized experience.","intents":["How can I ensure the most relevant results appear first in my searches?","I want my search engine to learn from user interactions to improve results.","Can I implement a scoring system that adapts to user preferences?"],"best_for":["teams looking to enhance user engagement through personalized search results"],"limitations":["Requires ongoing user interaction data to maintain and improve scoring accuracy."],"requires":["Machine learning framework like TensorFlow or PyTorch"],"input_types":["search results","user interaction data"],"output_types":["ranked search results","relevance scores"],"categories":["search-retrieval","machine-learning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-memfree__cap_4","uri":"capability://search.retrieval.multi.format.content.retrieval","name":"multi-format content retrieval","description":"MemFree supports retrieval of content across multiple formats, including text, images, and structured data, allowing users to conduct comprehensive searches that yield varied results. This capability leverages a unified indexing system that accommodates different data types, ensuring that users can find relevant information regardless of the format.","intents":["How can I search for both documents and images simultaneously?","I need to retrieve data from different formats in one query.","Can I integrate multimedia content into my search results?"],"best_for":["developers creating versatile search applications that handle diverse content types"],"limitations":["Performance may vary depending on the complexity of the data formats being indexed."],"requires":["Access to a variety of content sources"],"input_types":["text","images","structured data"],"output_types":["mixed content results","structured data"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"low","permissions":["Python 3.8+","Access to configured data sources","NLP library such as spaCy or NLTK","Node.js 14+","Access to relevant data source APIs","Machine learning framework like TensorFlow or PyTorch","Access to a variety of content sources"],"failure_modes":["Performance may degrade with extremely large datasets due to increased complexity in query processing.","May require user interaction data to optimize suggestions effectively.","Custom connectors may require additional development time and expertise.","Requires ongoing user interaction data to maintain and improve scoring accuracy.","Performance may vary depending on the complexity of the data formats being indexed.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:10.321Z","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=memfree","compare_url":"https://unfragile.ai/compare?artifact=memfree"}},"signature":"bvpyskT8X4LnlwuUMX/6B6gxYfxHEDk2eGWE/r5Oz7KksEnwLCo1sUYjhMBcaHp+Ym/ahPO8caJ6F6a+DuQaAg==","signedAt":"2026-06-22T04:05:33.918Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/memfree","artifact":"https://unfragile.ai/memfree","verify":"https://unfragile.ai/api/v1/verify?slug=memfree","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"}}