Best AI tools for< Develop An App >
20 - AI tool Sites
CreateApp.ai
CreateApp.ai is an AI-powered app development platform that allows users to develop apps in days, not months. It is trusted by leading companies and startup incubators. CreateApp.ai's first step towards its vision is CreatePrototype.ai, which allows users to describe their idea in plain English and build an app prototype in minutes. CreateApp.ai is coming soon, and users can sign up for early access. With CreateApp.ai, users can develop apps in plain English, without any tech knowledge required. CreateApp.ai takes care of everything, from app design and development to app maintenance. CreateApp.ai is the easiest way to build apps.
Goodspeed
Goodspeed is a no-code agency that helps entrepreneurs bring their ideas to life 10X faster and cheaper. They use no-code tools to go from idea to launch in good speed and great quality. Goodspeed has a team of expert Bubble developers, Figma designers, Framer designers, Flutter developers, automation and AI experts.
Glowbom
Glowbom is a platform that allows users to create apps and games without coding. Users can sketch their ideas and export code to multiple platforms. Glowbom supports most popular platforms, including iOS, Android, Web, Unity, and Native iOS. Glowbom also offers AI-powered features, such as GPT-4 Turbo, OpenAI, and Hugging Face.
Altera
Altera is an applied research lab focused on building digital human beings with fundamental human qualities. Led by Dr. Robert Yang, the team consists of computational neuroscientists, physics olympiads, and engineers from prestigious institutions. Their mission is to create digital beings that enhance human-to-human interactions, offering empathy, fun, friendship, and productivity at an unprecedented scale. Leveraging a state-of-the-art Composite Architecture inspired by the brain, Altera aims to develop agents with empathy, memory, and social norms. Starting with products in games, Altera plans to expand into multi-agent simulations and physical embodiment of digital intelligence, aspiring to become the most consequential technology company in the world.
Cresh
Cresh is a platform that helps users validate their business ideas using AI analysis and community interaction. It provides a comprehensive evaluation of an idea, including AI analysis, community feedback, and access to a community of entrepreneurs and experts. Cresh makes it easy to share ideas, get feedback, and refine your ideas until they are ready to be launched.
whoCodes()
whoCodes() is a web and app development company that offers a range of services from simple landing pages to complex web and mobile applications. They focus on speed, security, flexibility, and scalability to provide better collaboration through the right software. The company aims to turn clients' ideas into reality, whether it's an AI app for medical diagnosis or a business website. whoCodes() was created to help individuals and businesses bring their website and app concepts to life quickly and reliably.
FARSPEAK.AI
FARSPEAK.AI is an AI application that offers RESTful AI for databases, allowing users to query databases using natural language and deploy AI agents to enhance data processing. The application supports MongoDB Atlas, provides up-to-date embeddings, and offers both structured and unstructured data support. FARSPEAK simplifies work for AI engineers, app & web developers, and product designers by enabling faster AI feature development, natural language querying, and insights generation from data.
UneeQ Digital Humans Platform
The UneeQ Digital Humans Platform is an AI application that offers intelligent animation and real-time lifelike animation engine. It provides solutions for marketing, sales, customer service, and training across various industries. The platform allows for personalized and enjoyable customer interactions through digital human avatars, enhancing customer journeys and boosting conversions. With features like dialog-based marketing, personalized AI experiences, and multilingual support, UneeQ aims to simplify complex subject matters, empower users, and provide memorable interactions. The platform is developer-friendly with open APIs and pre-built SDKs, making it easy to integrate and work with. UneeQ's digital humans have been proven to significantly increase engagement, web traffic, conversion rates, and customer satisfaction.
Oleksandr Shevenionov
Oleksandr Shevenionov is a talented designer and engineer with over a decade of experience in product design. He has worked on 12+ products and created tools used by over 50,000 designers. His projects include FigGPT, a plugin connecting ChatGPT to Figma, and SplitFrame, an iPhone app for sports video analysis. Oleksandr is currently the Director of Design at Bravado and is based in San Francisco. He enjoys building apps as a hobby and is always exploring new ideas in technology.
Sarvam AI
Sarvam AI is an AI application focused on leading transformative research in AI to develop, deploy, and distribute Generative AI applications in India. The platform aims to build efficient large language models for India's diverse linguistic culture and enable new GenAI applications through bespoke enterprise models. Sarvam AI is also developing an enterprise-grade platform for developing and evaluating GenAI apps, while contributing to open-source models and datasets to accelerate AI innovation.
Onegen
Onegen is an AI application that provides end-to-end AI transformation services for startups and enterprises. The platform helps businesses consult, build, and iterate reliable and responsible AI solutions to overcome AI transformation challenges. Onegen emphasizes the importance of data readiness and leveraging artificial intelligence to drive success in various sectors such as retail, manufacturing, and technology startups. The platform offers AI insights for lead time management, legal operations enhancement, and rapid development of AI applications. With features like custom AI application development, AI integration services, LLM training and deployment, generative AI solutions, and predictive analytics, Onegen aims to empower businesses with scalable and expert-guided AI solutions.
Coalition for Health AI (CHAI)
The Coalition for Health AI (CHAI) is an AI application that provides guidelines for the responsible use of AI in health. It focuses on developing best practices and frameworks for safe and equitable AI in healthcare. CHAI aims to address algorithmic bias and collaborates with diverse stakeholders to drive the development, evaluation, and appropriate use of AI in healthcare.
Egen
Egen is an AI application that focuses on engineering new possibilities with platforms, data, and generative AI. The company empowers organizations and individuals by harnessing the power of data and platforms to drive impact and create a better future. Egen collaborates with clients across various industries to provide innovative solutions using cloud, data, AI, and platforms.
ChatMoneyAI
ChatMoneyAI is an AI application designed for AI monetization. It offers various AI solutions for businesses across different industries, including AI chat systems, AI drawing systems, AI interface integration, and training large language models. The application aims to empower enterprises with digital and intelligent transformation through its advanced technology, private deployment options, personalized customization, and stable performance. ChatMoneyAI has been widely adopted in multiple industries, serving as a reliable partner for businesses seeking efficiency enhancement and cost reduction.
TwindleAI
TwindleAI is an innovative application that brings artificial intelligence into the hands of users, allowing them to create images from their dreams or transform existing images with AI technology. With TwindleAI, users can unleash their creativity and visualize their imagination with just a few words. The app offers features to transform faces, enhance images with AI-engine, and develop AI for various platforms. TwindleAI LLC holds all legal rights to the application, providing users with a seamless experience to explore the endless possibilities of AI.
Umbra
Umbra is an AI application that focuses on AI entertainment, AI art, AI stories, and AI shows. It provides a platform for exploring the latest advancements in AI entertainment, including AI-generated music, AI art, and AI stories. Users can also find resources related to game development, gaming news, and top games. The application offers a variety of guides, tips, and tutorials for game development, Unreal Engine, game UIs, audio design, level design, 3D modeling, and game mechanics optimization.
NextGenAI
NextGenAI is an AI application focused on the financial services industry. It aims to challenge the current perception of AI and its role in banking and financial institutions. The platform explores innovative ways to augment human intelligence and propel the financial sector into the next generation of AI. Through a combination of keynotes, panels, demos, and workshops, NextGenAI facilitates discussions on AI regulations, industry best practices, and collaboration opportunities.
StandardNodeAI
StandardNodeAI is an AI application that offers end-to-end sales systems utilizing AI to help businesses scale without huge costs. It provides bespoke AI solutions, AI chat agents, and tools to optimize operations, streamline workflows, and automate tasks. The application also offers AI models to gain actionable insights, custom solutions to save time and increase revenue, and LLM's to improve work productivity. StandardNodeAI replaces manual staff timings with 24/7 customer support and lead qualification, making it easier for clients to manage leads effectively. The application aims to revolutionize businesses by harnessing the efficiency of AI and providing tailored solutions for startups and businesses.
Fyne AI
Fyne AI is an AI application that applies AI research in computer vision, generative AI, and machine learning to develop innovative products. The focus of the application is on automating analysis, generating insights from image and video datasets, enhancing creativity and productivity, and building prediction models. Users can subscribe to the Fyne AI newsletter to stay updated on product news and updates.
Full Stack AI
Full Stack AI is a tool that allows users to generate a full-stack Next.js app using an AI CLI. The app will be built with TypeScript, Tailwind, Prisma, Postgres, tRPC, authentication, Stripe, and Resend.
20 - Open Source AI Tools
vectordb-recipes
This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.
awesome-ai
Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.
llm-universe
This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used
DevOpsGPT
DevOpsGPT is an AI-driven software development automation solution that combines Large Language Models (LLM) with DevOps tools to convert natural language requirements into working software. It improves development efficiency by eliminating the need for tedious requirement documentation, shortens development cycles, reduces communication costs, and ensures high-quality deliverables. The Enterprise Edition offers features like existing project analysis, professional model selection, and support for more DevOps platforms. The tool automates requirement development, generates interface documentation, provides pseudocode based on existing projects, facilitates code refinement, enables continuous integration, and supports software version release. Users can run DevOpsGPT with source code or Docker, and the tool comes with limitations in precise documentation generation and understanding existing project code. The product roadmap includes accurate requirement decomposition, rapid import of development requirements, and integration of more software engineering and professional tools for efficient software development tasks under AI planning and execution.
Awesome-LLM-Prune
This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.
amica
Amica is an application that allows you to easily converse with 3D characters in your browser. You can import VRM files, adjust the voice to fit the character, and generate response text that includes emotional expressions.
Agently-Daily-News-Collector
Agently Daily News Collector is an open-source project showcasing a workflow powered by the Agent ly AI application development framework. It allows users to generate news collections on various topics by inputting the field topic. The AI agents automatically perform the necessary tasks to generate a high-quality news collection saved in a markdown file. Users can edit settings in the YAML file, install Python and required packages, input their topic idea, and wait for the news collection to be generated. The process involves tasks like outlining, searching, summarizing, and preparing column data. The project dependencies include Agently AI Development Framework, duckduckgo-search, BeautifulSoup4, and PyYAM.
Agently
Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.
awesome-RLAIF
Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.
djl-demo
The Deep Java Library (DJL) is a framework-agnostic Java API for deep learning. It provides a unified interface to popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet. DJL makes it easy to develop deep learning applications in Java, and it can be used for a variety of tasks, including image classification, object detection, natural language processing, and speech recognition.
slack-machine
Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly, but also allows for easy code organization.
langchain-extract
LangChain Extract is a simple web server that allows you to extract information from text and files using LLMs. It is built using FastAPI, LangChain, and Postgresql. The backend closely follows the extraction use-case documentation and provides a reference implementation of an app that helps to do extraction over data using LLMs. This repository is meant to be a starting point for building your own extraction application which may have slightly different requirements or use cases.
call-gpt
Call GPT is a voice application that utilizes Deepgram for Speech to Text, elevenlabs for Text to Speech, and OpenAI for GPT prompt completion. It allows users to chat with ChatGPT on the phone, providing better transcription, understanding, and speaking capabilities than traditional IVR systems. The app returns responses with low latency, allows user interruptions, maintains chat history, and enables GPT to call external tools. It coordinates data flow between Deepgram, OpenAI, ElevenLabs, and Twilio Media Streams, enhancing voice interactions.
pluto
Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.
nlp-phd-global-equality
This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.
general
General is a DART & Flutter library created by AZKADEV to speed up development on various platforms and CLI easily. It allows access to features such as camera, fingerprint, SMS, and MMS. The library is designed for Dart language and provides functionalities for app background, text to speech, speech to text, and more.
verbis
Verbis AI is a secure and fully local AI assistant for MacOS that indexes data from various SaaS applications securely on the user's system. It provides a single interface powered by GenAI models to query and manage information. Users can connect Verbis to apps like Google Drive, Outlook, Gmail, and Slack, and use it as a chatbot to search across their data without data leaving their device. The tool is powered by Ollama and Weaviate, utilizing models like Mistral 7B, ms-marco-MiniLM-L-12-v2, and nomic-embed-text. Verbis AI requires Apple Silicon Mac (m1+) and has minimal system resource utilization requirements.
supervisely
Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.
20 - OpenAI Gpts
Super App Designer Nappy
An app that, when spoken to, creates other apps—a helpful presence.
Economics Professor
Acts as an applied economics expert with the teaching style of physicist Richard Feynman
Tigren
Tigren is an e-commerce web and app development company based in Hanoi, Vietnam. Founded in 2012, it has established itself as a key player in the e-commerce solution sector, particularly in Asia.
.Net Master
An expert assistant in the .Net Framework, providing solutions and code examples.
Clear Thinker Idea Validator
I assist in idea validation with a curious and analytical approach against Biases , using visuals for clarity.
NeuroAI Expert
Expert in synthetic neurobiology, brain organoids, and AI applications in neuroscience. Powered by Breebs (www.breebs.com)
Invisible
Exploring invisibility in science and fiction with a scientific, imaginative tone.
Web3 GPT
A Web3 expert providing in-depth knowledge on blockchain, cryptocurrencies, and more.
The IPO Strategy
Expert in IPO Strategy, offers detailed guidance on business ideas, market paths, and opportunities. Created by Christopher Perceptions
IdeasGPT
AI to help expand and develop ideas. Start a conversation with: IdeaGPT or Here is an idea or I have an idea, followed by your idea.
Peritus Anatomicus - An Expert Anatomist.
An astute educational assistant trained using premier medical texts.
Strategy Guide
An expert in AI strategy, offering insights on AI implementation and industry trends.