Best AI tools for< Build Logic Flow >

Bubble is a visual programming platform that allows users to create web applications without needing to write code. It offers a wide range of features such as data management, logic creation, collaboration tools, integrations, and security measures. Users can build complex applications using Bubble's intuitive drag-and-drop interface. The platform also provides resources like an academy, ideaboard, and product design tools to support users in their app development journey.

PromptChainer is a powerful AI flow generation tool that allows users to create complex AI-driven flows with ease using a visual flow builder. It seamlessly integrates AI and traditional programming, enabling users to chain prompts and models and manage AI-generated insights on large-scale data effortlessly. With pre-built templates, a user-friendly database, and versatile logic nodes, PromptChainer empowers users to build custom flows or applications with infinite possibilities.

Metaflow is an open-source framework for building and managing real-life ML, AI, and data science projects. It makes it easy to use any Python libraries for models and business logic, deploy workflows to production with a single command, track and store variables inside the flow automatically for easy experiment tracking and debugging, and create robust workflows in plain Python. Metaflow is used by hundreds of companies, including Netflix, 23andMe, and Realtor.com.

Bubble is a visual programming platform that allows users to build web applications without the need for traditional coding. It offers a range of features such as data management, logic creation, collaboration tools, and security measures. Bubble empowers users to create custom web applications through a drag-and-drop interface, making it accessible to individuals without extensive programming knowledge. The platform also provides resources like tutorials, templates, and plugins to support users in their app development journey.

Bubble is a visual programming platform that allows users to create web applications without writing code. It offers a drag-and-drop interface for designing and building applications, making it easy for both beginners and experienced developers to bring their ideas to life. With features like data management, logic creation, collaboration tools, and security measures, Bubble empowers users to build complex and functional web applications. The platform also provides resources such as an academy, ideaboard, and product design tools to support users throughout the development process. Bubble is a versatile tool suitable for individuals, startups, and businesses looking to create custom web applications without the need for traditional coding skills.

Bubble is a visual programming platform that allows users to create web applications without needing to write code. It offers a range of features such as product design, data management, logic creation, collaboration tools, and security measures. Bubble is popular among founders, developers, agencies, and enterprises for its ease of use and flexibility in building custom applications. Users can connect to AI services, access templates and plugins, and join a supportive community for guidance and resources. The platform also provides educational resources, technical guides, and a marketplace for additional tools and services.

Story Machine is a powerful no-code game engine designed to make creation simple & put the power in the hands of the storyteller. Story Machine is currently in private beta. Assemble your game with the ease of drag and drop, no programming required. Story Machine enables top-tier 2D adventure game development through a direct, visual grammar. Arrange sequences of actions to build game logic without code. Story Machine is designed to make game development straightforward, without the complexity and baggage of other modern game engines. Generate AI art for prototyping or production directly in Story Machine. Use context-aware UI to quickly create backgrounds, objects, or characters. Or just write a prompt. Story Machine finds the best AI model and service to satisfy your request, and uses it to generate your image.

UXPin is an AI-powered UX/UI and prototyping tool designed for designers and developers to streamline the design process. It allows users to design UI, create prototypes, manage design systems, and merge code seamlessly. With advanced features like AI-powered design, code-backed components, and integration with popular libraries, UXPin enhances collaboration between designers and developers, resulting in faster product development cycles and improved design consistency.

Stately is a visual logic builder that enables users to create complex logic diagrams and code in minutes. It provides a drag-and-drop editor that brings together contributors of all backgrounds, allowing them to collaborate on code, diagrams, documentation, and test generation in one place. Stately also integrates with AI to assist in each phase of the development process, from scaffolding behavior and suggesting variants to turning up edge cases and even writing code. Additionally, Stately offers bidirectional updates between code and visualization, allowing users to use the tools that make them most productive. It also provides integrations with popular frameworks such as React, Vue, and Svelte, and supports event-driven programming, state machines, statecharts, and the actor model for handling even the most complex logic in predictable, robust, and visual ways.

FlutterFlow is a low-code development platform that enables users to build cross-platform mobile and web applications without writing code. It provides a visual interface for designing user interfaces, connecting data, and implementing complex logic. FlutterFlow is trusted by users at leading companies around the world and has been used to build a wide range of applications, from simple prototypes to complex enterprise solutions.

Bubble is a visual programming platform that allows users to build web applications without needing to write code. It offers a range of features for designing, developing, and deploying applications, including data management, logic creation, collaboration tools, and security features. Bubble provides a user-friendly interface for creating custom applications tailored to specific needs, making it an ideal solution for individuals and businesses looking to create web applications quickly and efficiently.

Simulai is an open-source conversational form builder that allows users to create interactive surveys and forms that feel like natural conversations. It is inspired by the simplicity of Notion and is completely free to use. With Simulai, users can easily add logic, choose from a list of templates, and host their forms on their own servers or use Simulai's free cloud hosting services.

Onelook is a revolutionary platform that empowers users to create fully functional applications using natural language. By eliminating the complexities of traditional development tools, Onelook makes app building accessible to everyone. With its intuitive AI-powered interface, users can simply describe their application in human language, and Onelook will automatically generate the necessary code. This groundbreaking approach streamlines the development process, enabling users to focus on their core business logic rather than getting bogged down in technical details.

Helix AI is a private GenAI platform that enables users to build AI applications using open source models. The platform offers tools for RAG (Retrieval-Augmented Generation) and fine-tuning, allowing deployment on-premises or in a Virtual Private Cloud (VPC). Users can access curated models, utilize Helix API tools to connect internal and external APIs, embed Helix Assistants into websites/apps for chatbot functionality, write AI application logic in natural language, and benefit from the innovative RAG system for Q&A generation. Additionally, users can fine-tune models for domain-specific needs and deploy securely on Kubernetes or Docker in any cloud environment. Helix Cloud offers free and premium tiers with GPU priority, catering to individuals, students, educators, and companies of varying sizes.

Survia is an AI-powered survey platform that allows users to effortlessly build, share, and analyze surveys. With intuitive drag-and-drop interface and advanced conditional logic, Survia transforms survey creation into a seamless experience. Users can share surveys across platforms, analyze responses instantly, and export results with precision. Leveraging AI technology, Survia offers user targeting, widget customization, conditional questions, and workspace collaboration. The platform is GDPR compliant, ensuring data protection.

Convex is a fullstack TypeScript development platform that serves as an open-source backend for application builders. It offers a comprehensive set of APIs and tools to build, launch, and scale applications efficiently. With features like real-time collaboration, optimized transactions, and over 80 OAuth integrations, Convex simplifies backend operations and allows developers to focus on delivering value to customers. The platform enables developers to write backend logic in TypeScript, perform database operations with strong consistency, and integrate with various third-party services seamlessly. Convex is praised for its reliability, simplicity, and developer experience, making it a popular choice for modern software development projects.

Inworld is an AI framework designed for games and media, offering a production-ready framework for building AI agents with client-side logic and local model inference. It provides tools optimized for real-time data ingestion, low latency, and massive scale, enabling developers to create engaging and immersive experiences for users. Inworld allows for building custom AI agent pipelines, refining agent behavior and performance, and seamlessly transitioning from prototyping to production. With support for C++, Python, and game engines, Inworld aims to future-proof AI development by integrating 3rd-party components and foundational models to avoid vendor lock-in.

Doclin is an AI-powered real-time code discussion tool and copilot that helps developers build a code knowledge base effortlessly. It allows developers to comment on and discuss code in real-time, store comments safely in the cloud, and automatically create a knowledge base while discussing code. Doclin also offers a rich text editor for better documentation, keeps documentation up-to-date by flagging changes, and does not require access to the git repository. The upcoming Copilot feature will leverage generative AI to assist in understanding complex code and business logic.

HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform. The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market. The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.

Prisms is a no-code platform for building AI-powered apps. It allows users to harness the power of AI without having to write any code. Prisms is built on top of Large Language models including GPT3, DALL-E, and Stable Diffusion. Users can connect the pieces in Prisms to stack together data sources, user inputs, and off-the-shelf building blocks to create their own AI-powered apps. Prisms also makes it easy to deploy AI-powered apps directly from the platform with its pre-built UI. Alternatively, users can build their own frontend and use Prisms as a backend for their AI logic.

LogicStudio.ai is a powerful visual canvas-based tool for building, managing, and visualizing complex logic flows involving AI agents, data inputs, and outputs. It provides an intuitive interface to streamline development processes by offering features like drag-and-drop canvas design, dynamic components, real-time connections, import/export capabilities, zoom & pan controls, file management, AI integration, editable views, and various output formats. Users can easily add, connect, configure, and manage components to create interactive systems and workflows.

Alice is an agentic workflow framework that integrates task execution and intelligent chat capabilities. It provides a flexible environment for creating, managing, and deploying AI agents for various purposes, leveraging a microservices architecture with MongoDB for data persistence. The framework consists of components like APIs, agents, tasks, and chats that interact to produce outputs through files, messages, task results, and URL references. Users can create, test, and deploy agentic solutions in a human-language framework, making it easy to engage with by both users and agents. The tool offers an open-source option, user management, flexible model deployment, and programmatic access to tasks and chats.

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

Firebase Genkit (beta) is a framework with powerful tooling to help app developers build, test, deploy, and monitor AI-powered features with confidence. Genkit is cloud optimized and code-centric, integrating with many services that have free tiers to get started. It provides unified API for generation, context-aware AI features, evaluation of AI workflow, extensibility with plugins, easy deployment to Firebase or Google Cloud, observability and monitoring with OpenTelemetry, and a developer UI for prototyping and testing AI features locally. Genkit works seamlessly with Firebase or Google Cloud projects through official plugins and templates.

The Expected Parrot Domain-Specific Language (EDSL) package enables users to conduct computational social science and market research with AI. It facilitates designing surveys and experiments, simulating responses using large language models, and performing data labeling and other research tasks. EDSL includes built-in methods for analyzing, visualizing, and sharing research results. It is compatible with Python 3.9 - 3.11 and requires API keys for LLMs stored in a `.env` file.

The Atomic Agents framework is a modular and extensible tool designed for creating powerful applications. It leverages Pydantic for data validation and serialization. The framework follows the principles of Atomic Design, providing small and single-purpose components that can be combined. It integrates with Instructor for AI agent architecture and supports various APIs like Cohere, Anthropic, and Gemini. The tool includes documentation, examples, and testing features to ensure smooth development and usage.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

FIT Framework is a Java enterprise AI development framework that provides a multi-language function engine (FIT), a flow orchestration engine (WaterFlow), and a Java ecosystem alternative solution (FEL). It runs in native/Spring dual mode, supports plug-and-play and intelligent deployment, seamlessly unifying large models and business systems. FIT Core offers language-agnostic computation base with plugin hot-swapping and intelligent deployment. WaterFlow Engine breaks the dimensional barrier of BPM and reactive programming, enabling graphical orchestration and declarative API-driven logic composition. FEL revolutionizes LangChain for the Java ecosystem, encapsulating large models, knowledge bases, and toolchains to integrate AI capabilities into Java technology stack seamlessly. The framework emphasizes engineering practices with intelligent conventions to reduce boilerplate code and offers flexibility for deep customization in complex scenarios.

Pipecat Flows is a framework designed for building structured conversations in AI applications. It allows users to create both predefined conversation paths and dynamically generated flows, handling state management and LLM interactions. The framework includes a Python module for building conversation flows and a visual editor for designing and exporting flow configurations. Pipecat Flows is suitable for scenarios such as customer service scripts, intake forms, personalized experiences, and complex decision trees.

Promptbook is a library designed to build responsible, controlled, and transparent applications on top of large language models (LLMs). It helps users overcome limitations of LLMs like hallucinations, off-topic responses, and poor quality output by offering features such as fine-tuning models, prompt-engineering, and orchestrating multiple prompts in a pipeline. The library separates concerns, establishes a common format for prompt business logic, and handles low-level details like model selection and context size. It also provides tools for pipeline execution, caching, fine-tuning, anomaly detection, and versioning. Promptbook supports advanced techniques like Retrieval-Augmented Generation (RAG) and knowledge utilization to enhance output quality.

Langfun is a Python library that aims to make language models (LM) fun to work with. It enables a programming model that flows naturally, resembling the human thought process. Langfun emphasizes the reuse and combination of language pieces to form prompts, thereby accelerating innovation. Unlike other LM frameworks, which feed program-generated data into the LM, langfun takes a distinct approach: It starts with natural language, allowing for seamless interactions between language and program logic, and concludes with natural language and optional structured output. Consequently, langfun can aptly be described as Language as functions, capturing the core of its methodology.

Inngest is a platform that offers durable functions to replace queues, state management, and scheduling for developers. It allows writing reliable step functions faster without dealing with infrastructure. Developers can create durable functions using various language SDKs, run a local development server, deploy functions to their infrastructure, sync functions with the Inngest Platform, and securely trigger functions via HTTPS. Inngest Functions support retrying, scheduling, and coordinating operations through triggers, flow control, and steps, enabling developers to build reliable workflows with robust support for various operations.

CRB (Composable Runtime Blocks) is a unique framework that implements hybrid workloads by seamlessly combining synchronous and asynchronous activities, state machines, routines, the actor model, and supervisors. It is ideal for building massive applications and serves as a low-level framework for creating custom frameworks, such as AI-agents. The core idea is to ensure high compatibility among all blocks, enabling significant code reuse. The framework allows for the implementation of algorithms with complex branching, making it suitable for building large-scale applications or implementing complex workflows, such as AI pipelines. It provides flexibility in defining structures, implementing traits, and managing execution flow, allowing users to create robust and nonlinear algorithms easily.

Jina-Serve is a framework for building and deploying AI services that communicate via gRPC, HTTP and WebSockets. It provides native support for major ML frameworks and data types, high-performance service design with scaling and dynamic batching, LLM serving with streaming output, built-in Docker integration and Executor Hub, one-click deployment to Jina AI Cloud, and enterprise-ready features with Kubernetes and Docker Compose support. Users can create gRPC-based AI services, build pipelines, scale services locally with replicas, shards, and dynamic batching, deploy to the cloud using Kubernetes, Docker Compose, or JCloud, and enable token-by-token streaming for responsive LLM applications.

Jina is a tool that allows users to build multimodal AI services and pipelines using cloud-native technologies. It provides a Pythonic experience for serving ML models and transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Users can build and serve models for any data type and deep learning framework, design high-performance services with easy scaling, serve LLM models while streaming their output, integrate with Docker containers via Executor Hub, and host on CPU/GPU using Jina AI Cloud. Jina also offers advanced orchestration and scaling capabilities, a smooth transition to the cloud, and easy scalability and concurrency features for applications. Users can deploy to their own cloud or system with Kubernetes and Docker Compose integration, and even deploy to JCloud for autoscaling and monitoring.

GenAIComps is an initiative aimed at building enterprise-grade Generative AI applications using a microservice architecture. It simplifies the scaling and deployment process for production, abstracting away infrastructure complexities. GenAIComps provides a suite of containerized microservices that can be assembled into a mega-service tailored for real-world Enterprise AI applications. The modular approach of microservices allows for independent development, deployment, and scaling of individual components, promoting modularity, flexibility, and scalability. The mega-service orchestrates multiple microservices to deliver comprehensive solutions, encapsulating complex business logic and workflow orchestration. The gateway serves as the interface for users to access the mega-service, providing customized access based on user requirements.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize AI agents with APIs. It handles tasks related to prompts, including detecting jailbreak attempts, calling backend APIs, routing between LLMs, and managing observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and observability. Users can build fast, observable, and personalized AI agents using Arch to improve speed, security, and personalization of GenAI apps.

PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI. It is built by the Pydantic Team and supports various AI models like OpenAI, Anthropic, Gemini, Ollama, Groq, and Mistral. PydanticAI seamlessly integrates with Pydantic Logfire for real-time debugging, performance monitoring, and behavior tracking of LLM-powered applications. It is type-safe, Python-centric, and offers structured responses, dependency injection system, and streamed responses. PydanticAI is in early beta, offering a Python-centric design to apply standard Python best practices in AI-driven projects.

Helps you build logic security into your GPTs custom instructions. Documentation: https://github.com/infotrix/SSLLMs---Semantic-Secuirty-for-LLM-GPTs

Strategist for personal gain, leveraging logic and psychology.

UE5 Blueprint专家，以清晰的说明供给初学者参考。

Guiding you gently on your journey into Buddhism. Built on Memory-GPT, login required.

Expert in all kinds of PC builds.

街を作ろう　街を作ろう　変わらぬ鼓動　弾ませろよ (作者: @_saip_)

Guides to Build a Successful Network State

Unique custom images based on your input. Just type ideas and the brand image is created.

Your Personal Super Car Wallpaper Creator

Helps you build an OpenAI Assistant Client

Build extensions using the Eyeware Beam eye tracking SDK

Advice and guidance on how to build, maintain, and improve friendships.

Build Contents in Seconds

Business Model Canvas Creator - Build and evaluate your business model

Build your own League of Legends Style Champion with Abilities, Back Story and Splash Art

Your tech buddy helping you refurbish or build a PC from scratch, tailored to your needs, budget, and language.

Helps build full stack apps with React.

Help you build browser extensions more efficiently.

Your expert in Gradle build configuration, offering clear, practical advice.

This GPT will build app & answer questions for flipper zero.