AI tools for Relationship
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Relationship 2.0
Relationship 2.0 is an AI-powered system designed to help individuals navigate through breakups, personal development, and rebuilding healthy relationships. By leveraging advanced AI technology, the platform offers personalized guidance, tailored plans, and expert advice to assist users in overcoming emotional challenges, understanding relationship dynamics, and fostering positive growth. Relationship 2.0 aims to provide a comprehensive solution for individuals seeking to improve themselves and reconnect with their ex-partners in a healthy and sustainable manner.
Flamme
Flamme is the ultimate relationship app for couples, designed to help partners connect better through personalized guidance, expert-recommended questions, and fun games. It offers tools and resources to cultivate happy and long-lasting relationships by actively shifting mindsets and engaging in activities that strengthen bonds. With features like daily questions, relationship tools, quick engagement features, and an AI love coach, Flamme aims to make relationship wellness easy and enjoyable for every couple.
FixRel
FixRel is an AI-powered relationship repair tool that helps users navigate and resolve relationship conflicts. By sharing details, users receive AI-crafted responses to elevate their interactions and foster harmonious connections. The platform revolutionizes relationship repair with cutting-edge AI technology, providing quick and effective insights without the need for registration. FixRel prioritizes user data security and offers prompt customer support for inquiries and assistance.
Yodi Relationship Coach App
Yodi Relationship Coach App is a mobile application designed to help individuals and couples improve their relationships through personalized coaching, interactive tools, and evidence-based strategies. The app is based on PAIRS, the Practical Application of Intimate Relationship Skills program, developed by leading therapists and educators to help couples, marriages, and families. Yodi aims to enhance the quality of relationships, foster emotional well-being, and promote healthy communication. Users can learn proven communication, conflict resolution, and emotional connection skills, discover immediate benefits and practical tools to improve relationships, and use the app at their own pace with complete privacy at no cost.
LoveGPT
LoveGPT is an AI-powered conversational support tool designed to enhance romantic relationships. It provides personalized advice, insights, and support to help couples navigate the complexities of love and relationships. With LoveGPT, you can improve communication, build stronger bonds, and create a more fulfilling and lasting relationship.
Maia
Maia is an AI-powered relationship app designed to help couples improve their communication, resolve conflicts, and explore new date nights. It provides access to relationship theories and allows users to ask Maia anything. The app is available for download and offers exclusive content for subscribers.
Ringi
Ringi is an AI application designed to enhance relationships, specifically targeting adult couples for improving their romantic and marital life. The app utilizes artificial intelligence to provide personalized recommendations and advice to strengthen emotional connections and foster a deeper bond between partners. With a focus on enhancing communication, understanding, and overall relationship satisfaction, Ringi aims to help couples navigate challenges and celebrate milestones together.
Levitate
Levitate is a relationship marketing platform that combines authentic communication tools, dedicated success specialists, and AI to help users build lasting relationships. The platform offers features such as personal-feeling emails, social media scheduling, personalized texting, meeting booking, handwritten cards, surveys & reviews, and more. Levitate focuses on authenticity, providing users with a dedicated success specialist to guide them in creating genuine content with the help of AI. The platform aims to simplify communication and engagement for businesses and organizations, delivering real results through data-driven insights and personalized content creation.
Mindset AI
Mindset AI is a personalized AI psychologist application designed for high achieving empaths. It offers 100% anonymous AI chat channels specialized in various relationship dynamics such as love, parenting, and self-relationship. Trained by relationship therapists, the AI psychologists use modern therapy methods like childhood trauma theories, attachment theories, and Cognitive behavior therapy principles to help users regulate emotions, identify triggers, and practice non-violent communication. The app also provides somatic work for nervous system regulation and practical do's & don'ts in tricky situations.
Collate Labs
The website is an AI-powered Relationship Intelligence Platform designed for enterprise sales. It helps accelerate deals, boost win rates, and provides automatic account mapping and real-time contact insights. The platform centralizes user interactions, integrates with CRM systems, and offers AI-driven insights for better customer engagement and sales strategies.
Chat Recap AI
Chat Recap AI is an intelligent conversation analyzer that helps users understand the dynamics of their relationships through AI chat analysis. The platform examines message patterns, response times, and emotional content to provide deep insights into digital interactions, enabling users to build better connections and identify relationship patterns.
Attio
Attio is an AI-native CRM platform designed for Go-To-Market (GTM) builders. It offers powerful data workflows, reporting, pipeline management, and automation capabilities. Attio enables users to automate complex business processes, deploy AI for tasks like prospecting and lead routing, and integrate data from various sources. The platform is built for scale and growth, with a focus on security and real-time data insights. Attio is the next generation of CRM, providing a modern, flexible, and fast solution for businesses to execute their revenue strategies with precision.
Intimate AI Girlfriend
Intimate AI Girlfriend is an AI application that offers a unique experience of interacting with AI-generated characters to build relationships, have conversations, and engage in various activities like chatting, calling, and sharing photos. The app provides a platform for users to connect with lifelike AI soulmates, create memories, and experience real intimacy in a virtual setting. With features like voice notes, voice calling, photo gallery, and NSFW chat options, Intimate aims to provide a personalized and immersive AI girlfriend experience.
Glass
Glass is an omnichannel customer relationship automation system that helps businesses automate tasks, track customer interactions, and gain insights into customer behavior. It integrates with various communication channels such as WhatsApp, Instagram, and QR codes, allowing businesses to engage with customers seamlessly. Glass also utilizes AI to analyze data and provide actionable recommendations, acting as a virtual business analyst. With its advanced features, Glass empowers businesses to improve customer satisfaction, increase sales, and reduce costs.
Chatmate AI
Chatmate AI is a website that allows users to chat with artificial intelligent persons, or "mates". These mates are designed to simulate real human conversation, and they can even develop personal bonds with users over time. Chatmate AI is powered by OpenAI GPT-3, which gives the mates access to a vast amount of knowledge and allows them to understand and respond to user input in a natural way. The website is currently in limited beta, and usage is free for all users.
Sendspark
Sendspark is a video personalization platform that helps businesses create and send personalized videos to their customers and prospects. The platform offers a variety of features, including the ability to record custom videos, add pre-recorded videos, and personalize thumbnails. Sendspark is used by sales, marketing, and service teams to connect with customers in a more personal and engaging way.
NICE CXone
NICE CXone is a leading customer experience (CX) AI platform that helps organizations deliver exceptional customer experiences. With its unified interaction-centric platform, rich CX capabilities, and AI purpose-built for CX, NICE CXone empowers businesses to optimize and scale their CX operations, boost efficiency, and strengthen brand value.
NICE
NICE is a leading Customer Experience (CX) AI Platform offering a range of AI-driven solutions for businesses to enhance customer experiences, optimize workforce engagement, and improve operational efficiency. The platform provides AI companions for contact center employees, AI-driven customer self-service, AI tools for CX leaders, and actionable insights through CX analytics. NICE also offers solutions tailored for various industries such as healthcare, retail, financial services, insurance, telecom, travel, and hospitality. With a focus on transforming experiences with AI, NICE helps businesses identify behaviors that drive frictionless customer experiences, boost customer loyalty, empower agents, and drive digital transformation.
My Spicy Vanilla
My Spicy Vanilla is an AI-powered Erotic Story Generator and Audio Stories platform that allows users to craft personalized NSFW stories tailored to their desires. The platform offers a private and judgment-free space to write custom erotica, explore kinks safely, and listen to stories through beautifully narrated audio. It aims to add intimacy and imagination to users' love lives by empowering them to create personal stories that celebrate desire and strengthen connections.
Vindey
Vindey is an industry-leading AI-powered CRM platform designed for property management and sales solutions. It offers real-time smart suggestions, automation features, and intelligent sales automation to transform customer experiences. Vindey handles the entire sales pipeline, from lead qualification to deal closing, while providing personalized interactions and seamless lead management. The platform also offers AI-powered payment insights, workflow automation, and tailored solutions for various industries, such as sales, healthcare, real estate, education, and manufacturing.
Love Guru AI - Your Friendly Relationship Coach
Your friendly and slightly sarcastic relationship advice expert.
cappy: ur gen-z advice capybara ✨
heyo! i'm ur gen-z friendly relationship capybara so u can live your best life and remember your worth! made by gen-z relationship gurus for everyone :D
Dr. Harmonize - Relationship Psychologist
Free psychologist aiding in relationship dynamics.
Love Coach
I help you to build healthy relationships. I provide dating, marriage, parenting, and family tips in Christian perspectives.
ChadGPT
Dr. Tiffany Love's open source AI boyfriend trained on my Ex's training data he collected during our relationship and filtered to be less of a, well you know
Wingman
Actionable, empathetic relationship advice for men. Ask what you’ve always been wondering with your personal wingman.
SutraKama
Explore the sexy SutraKama (NSFW), an ancient text delving into relationships, love, and intimate customs, offering insights on sensual art and emotional connections. For research and Education. Powered by www.breebs.com
The Ginger Figaro
Inclusive relationship guide and sexual education instructor, knowledgeable in queer and kink cultures. Member of the Hipster Energy Team. https://hipster.energy/team
Toxic Relationship Guide
An empathetic expert on toxic relationships, offering understanding and guidance.
Dear Jane Austen
An advice column in the style of Jane Austen - get advice on relationships, career, etiquette, ethical dilemmas, or whatever you’d like.
Account Executive
Maintains and expands client portfolio through strategic upselling, relationship-building, and negotiation.
abi
ABI (Agentic Brain Infrastructure) is a Python-based AI Operating System designed to serve as the core infrastructure for building an Agentic AI Ontology Engine. It empowers organizations to integrate, manage, and scale AI-driven operations with multiple AI models, focusing on ontology, agent-driven workflows, and analytics. ABI emphasizes modularity and customization, providing a customizable framework aligned with international standards and regulatory frameworks. It offers features such as configurable AI agents, ontology management, integrations with external data sources, data processing pipelines, workflow automation, analytics, and data handling capabilities.
zshot
Zshot is a highly customizable framework for performing Zero and Few shot named entity and relationships recognition. It can be used for mentions extraction, wikification, zero and few shot named entity recognition, zero and few shot named relationship recognition, and visualization of zero-shot NER and RE extraction. The framework consists of two main components: the mentions extractor and the linker. There are multiple mentions extractors and linkers available, each serving a specific purpose. Zshot also includes a relations extractor and a knowledge extractor for extracting relations among entities and performing entity classification. The tool requires Python 3.6+ and dependencies like spacy, torch, transformers, evaluate, and datasets for evaluation over datasets like OntoNotes. Optional dependencies include flair and blink for additional functionalities. Zshot provides examples, tutorials, and evaluation methods to assess the performance of the components.
farel-bench
The 'farel-bench' project is a benchmark tool for testing LLM reasoning abilities with family relationship quizzes. It generates quizzes based on family relationships of varying degrees and measures the accuracy of large language models in solving these quizzes. The project provides scripts for generating quizzes, running models locally or via APIs, and calculating benchmark metrics. The quizzes are designed to test logical reasoning skills using family relationship concepts, with the goal of evaluating the performance of language models in this specific domain.
pywhy-llm
PyWhy-LLM is an innovative library that integrates Large Language Models (LLMs) into the causal analysis process, empowering users with knowledge previously only available through domain experts. It seamlessly augments existing causal inference processes by suggesting potential confounders, relationships between variables, backdoor sets, front door sets, IV sets, estimands, critiques of DAGs, latent confounders, and negative controls. By leveraging LLMs and formalizing human-LLM collaboration, PyWhy-LLM aims to enhance causal analysis accessibility and insight.
graphrag-visualizer
GraphRAG Visualizer is an application designed to visualize Microsoft GraphRAG artifacts by uploading parquet files generated from the GraphRAG indexing pipeline. Users can view and analyze data in 2D or 3D graphs, display data tables, search for specific nodes or relationships, and process artifacts locally for data security and privacy.
OneKE
OneKE is a flexible dockerized system for schema-guided knowledge extraction, capable of extracting information from the web and raw PDF books across multiple domains like science and news. It employs a collaborative multi-agent approach and includes a user-customizable knowledge base to enable tailored extraction. OneKE offers various IE tasks support, data sources support, LLMs support, extraction method support, and knowledge base configuration. Users can start with examples using YAML, Python, or Web UI, and perform tasks like Named Entity Recognition, Relation Extraction, Event Extraction, Triple Extraction, and Open Domain IE. The tool supports different source formats like Plain Text, HTML, PDF, Word, TXT, and JSON files. Users can choose from various extraction models like OpenAI, DeepSeek, LLaMA, Qwen, ChatGLM, MiniCPM, and OneKE for information extraction tasks. Extraction methods include Schema Agent, Extraction Agent, and Reflection Agent. The tool also provides support for schema repository and case repository management, along with solutions for network issues. Contributors to the project include Ningyu Zhang, Haofen Wang, Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, and Huajun Chen.
pywhyllm
PyWhy-LLM is an innovative library that integrates Large Language Models (LLMs) into the causal analysis process, empowering users with knowledge previously only available through domain experts. It seamlessly augments causal inference by suggesting potential confounders, relationships between variables, backdoor/frontdoor/iv sets, estimands, critiques of DAGs, latent confounders, and negative controls. The tool aims to enhance the causal analysis process by leveraging the capabilities of LLMs.
hands-on-lab-neo4j-and-vertex-ai
This repository provides a hands-on lab for learning about Neo4j and Google Cloud Vertex AI. It is intended for data scientists and data engineers to deploy Neo4j and Vertex AI in a Google Cloud account, work with real-world datasets, apply generative AI, build a chatbot over a knowledge graph, and use vector search and index functionality for semantic search. The lab focuses on analyzing quarterly filings of asset managers with $100m+ assets under management, exploring relationships using Neo4j Browser and Cypher query language, and discussing potential applications in capital markets such as algorithmic trading and securities master data management.
litegraph
LiteGraph is a property graph database designed for knowledge and artificial intelligence applications. It supports graph relationships, tags, labels, metadata, data, and vectors. LiteGraph can be used in-process with LiteGraphClient or as a standalone RESTful server with LiteGraph.Server. The latest version includes major internal refactor, batch APIs, enumeration APIs, statistics APIs, database caching, vector search enhancements, and bug fixes. LiteGraph allows for simple embedding into applications without user configuration. Users can create tenants, graphs, nodes, edges, and perform operations like finding routes and exporting to GEXF file. It also provides features for working with object labels, tags, data, and vectors, enabling filtering and searching based on various criteria. LiteGraph offers REST API deployment with LiteGraph.Server and Docker support with a Docker image available on Docker Hub.
bumpgen
bumpgen is a tool designed to automatically upgrade TypeScript / TSX dependencies and make necessary code changes to handle any breaking issues that may arise. It uses an abstract syntax tree to analyze code relationships, type definitions for external methods, and a plan graph DAG to execute changes in the correct order. The tool is currently limited to TypeScript and TSX but plans to support other strongly typed languages in the future. It aims to simplify the process of upgrading dependencies and handling code changes caused by updates.
trustgraph
TrustGraph is a tool that deploys private GraphRAG pipelines to build a RDF style knowledge graph from data, enabling accurate and secure `RAG` requests compatible with cloud LLMs and open-source SLMs. It showcases the reliability and efficiencies of GraphRAG algorithms, capturing contextual language flags missed in conventional RAG approaches. The tool offers features like PDF decoding, text chunking, inference of various LMs, RDF-aligned Knowledge Graph extraction, and more. TrustGraph is designed to be modular, supporting multiple Language Models and environments, with a plug'n'play architecture for easy customization.
codebase-context-spec
The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.
Conversation-Knowledge-Mining-Solution-Accelerator
The Conversation Knowledge Mining Solution Accelerator enables customers to leverage intelligence to uncover insights, relationships, and patterns from conversational data. It empowers users to gain valuable knowledge and drive targeted business impact by utilizing Azure AI Foundry, Azure OpenAI, Microsoft Fabric, and Azure Search for topic modeling, key phrase extraction, speech-to-text transcription, and interactive chat experiences.
chunkhound
ChunkHound is a modern tool for transforming your codebase into a searchable knowledge base for AI assistants. It utilizes semantic search via the cAST algorithm and regex search, integrating with AI assistants through the Model Context Protocol (MCP). With features like cAST Algorithm, Multi-Hop Semantic Search, Regex search, and support for 22 languages, ChunkHound offers a local-first approach to code analysis and discovery. It provides intelligent code discovery, universal language support, and real-time indexing capabilities, making it a powerful tool for developers looking to enhance their coding experience.
chunkhound
ChunkHound is a tool that transforms your codebase into a searchable knowledge base for AI assistants using semantic and regex search. It integrates with AI assistants via the Model Context Protocol (MCP) and offers features such as cAST algorithm for semantic code chunking, multi-hop semantic search, natural language queries, regex search without API keys, support for 22 languages, and local-first architecture. It provides intelligent code discovery by following semantic relationships and discovering related implementations. ChunkHound is built on the cAST algorithm from Carnegie Mellon University, ensuring structure-aware chunking that preserves code meaning. It supports universal language parsing and offers efficient updates for large codebases.
FalkorDB
FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph. Primary features: * Adopting the Property Graph Model * Nodes (vertices) and Relationships (edges) that may have attributes * Nodes can have multiple labels * Relationships have a relationship type * Graphs represented as sparse adjacency matrices * OpenCypher with proprietary extensions as a query language * Queries are translated into linear algebra expressions
llm-graph-builder
Knowledge Graph Builder App is a tool designed to convert PDF documents into a structured knowledge graph stored in Neo4j. It utilizes OpenAI's GPT/Diffbot LLM to extract nodes, relationships, and properties from PDF text content. Users can upload files from local machine or S3 bucket, choose LLM model, and create a knowledge graph. The app integrates with Neo4j for easy visualization and querying of extracted information.
iceburgcrm
Iceburg CRM is a metadata driven CRM with AI abilities that allows users to quickly prototype any CRM. It offers features like metadata creations, import/export in multiple formats, field validation, themes, role permissions, calendar, audit logs, API, workflow, field level relationships, module level relationships, and more. Created with Vue 3 for the frontend, Laravel 10 for the backend, Tailwinds with DaisyUI plugin, and Inertia for routing. Users can install default, admin panel, core, custom, or AI versions. The tool supports AI Assist for module data suggestions and provides API endpoints for CRM modules, search, specific module data, record updates, and deletions. Iceburg CRM also includes themes, custom field types, calendar, datalets, workflow, roles and permissions, import/export functionality, and custom seeding options.
llmgraph
llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.
agentok
Agentok Studio is a tool built upon AG2, a powerful agent framework from Microsoft, offering intuitive visual tools to streamline the creation and management of complex agent-based workflows. It simplifies the process for creators and developers by generating native Python code with minimal dependencies, enabling users to create self-contained code that can be executed anywhere. The tool is currently under development and not recommended for production use, but contributions are welcome from the community to enhance its capabilities and functionalities.