Best AI tools for< Plan Architecture >

Octopus.do is a lightning-fast visual sitemap builder and website planner that offers a seamless experience for website architecture planning. With the help of AI technology, users can easily generate colorful visual sitemaps and low-fidelity wireframes to visualize website content and layout. The platform allows users to prepare, manage, and collaborate on website content and SEO, making website planning fast, easy, and enjoyable. Octopus.do also provides a variety of sitemap templates for different types of websites, along with features for real-time collaboration, onsite SEO improvement, and integration with Figma designs.

Luw.ai is an AI-powered architecture tool that allows users to design their dream spaces with AI prompts or redesign existing spaces by snapping a photo. It offers over 55 design styles and can assist users in enhancing design choices using data from them. Luw.ai also has a personalized AI image generator that connects to over 10 AIs to create designs tailored to the user's AI persona needs. Additionally, it offers features such as a magic wand tool for removing, adding, or replacing objects, AI rendering, and 3D to image conversion.

Genera is a website that provides users with access to a variety of generative AI applications, including an interior designer, an architectural designer, and a text-to-image generator. The website is easy to use and allows users to create stunning designs and images with just a few clicks. Genera is a great resource for anyone who is looking to use AI to improve their creativity.

Co-Founder Ai is an AI-powered validation tool that helps entrepreneurs and startup founders to quickly validate their business ideas. It utilizes AI technology to generate well-structured business plans and actionable insights in minutes, allowing users to save time and launch their startups confidently. The tool offers free and pro reports with different sections, supports multiple languages, and provides the option to keep reports private by signing in. Users can create an account to access more features, such as saving reports, voting, and sharing ideas.

Maket is a generative design and architecture software that leverages AI to democratize architecture by allowing users to design and plan residential projects effortlessly. It offers a suite of tools for automated floorplan generation, style exploration, and customization of design elements. Maket simplifies the complexities of zoning codes and regulations, provides expert guidance on materials, costs, and design possibilities, and enables users to generate residential floorplan variations in minutes. The platform integrates AI to enhance creativity, streamline design tasks, and ensure regulatory compliance, making it a valuable tool for architects, designers, and developers.

Plan Fast is an AI-powered scrum planning poker app designed to enhance team productivity. It offers features such as AI-powered issue identification, effortless Jira integration, and a wide range of themes to personalize the planning experience. Plan Fast aims to provide accurate story and task estimates, streamline the planning process, and improve overall team collaboration.

Plan Quest is an AI-powered planning tool that helps you set and track goals, create visual timelines, and collaborate with others. It offers a variety of features to help you stay organized and motivated, including AI-powered plan creation, timeline visualization, OKR tracking, a Notion-like editor, and a canvas for reflection. Plan Quest is designed to help you achieve your goals, whether they're personal or professional.

AI Lesson Plan is an AI application designed to help educators create custom, age-specific lesson plans tailored to their classes in a fraction of the time. The generative AI platform allows for the creation of engaging lesson plans and resources, offering subject matter expertise, customizable templates, textbook eidetic memory, and multiple plan formats. It aims to cut hours off a teacher's work week by effortlessly generating tailored lesson plans and accompanying resources.

Motion is an AI-powered work planning and scheduling tool that helps individuals and teams be more productive and organized. It uses a proprietary algorithm called The Happiness Algorithm to automatically prioritize tasks, schedule meetings, and track progress. Motion integrates with popular calendars, task managers, and other productivity tools, making it easy to use and customize to your workflow. With Motion, you can save time, reduce stress, and achieve your goals more efficiently.

LivePlan is a business plan software that offers performance tracking and financial forecasting tools to help small businesses plan, launch, and grow successfully. It provides a user-friendly interface with AI-powered features, such as the LivePlan Assistant, to guide users through creating comprehensive business plans and financial reports. LivePlan also offers interactive demos, integrations with accounting software like QuickBooks and Xero, and a range of solutions tailored for different business stages and needs. With over 1 million users, LivePlan has helped entrepreneurs and business owners achieve their goals by providing tools and resources to streamline the planning process and improve decision-making.

Nuelink is a social media scheduling tool with automation superpowers, including AI capabilities. It helps users organize, automate, analyze, and manage their social media accounts from a centralized platform. With features like bulk scheduling, AI writing assistant, brand management, and more, Nuelink streamlines social media management and saves time for businesses and individuals. The tool offers a 14-day free trial with no questions asked cancellation policy and has garnered positive reviews from users across various industries.

Trevor AI is a daily planner and task scheduling co-pilot that helps users organize, schedule, and automate their tasks. It features a task hub, calendar integration, AI scheduling suggestions, focus mode, and daily planning insights. Trevor AI is designed to help users improve their productivity, clarity, and focus.

BeforeSunset AI is an AI-powered workspace for busy professionals and teams. It is an AI Personal Assistant that plans your day based on your schedule and to-do list by time-blocking on your calendar. It helps you stay in sync, stay focused, and achieve your goals.

CONTADU is a content intelligence platform designed to help users plan, optimize, and create content that aligns with user intent and ranks well on Google. It offers features such as content strategy planning, competitive landscape analysis, content optimization, generative AI, content management, and semantic SEO. Users can benefit from AI-based semantic expertise, topical authority planning, and AI content planning. The platform also provides tools for content creation, including NLP-based recommendations, document drafting, content scoring, and AI writing. With a focus on user intent and SEO optimization, CONTADU aims to help users create high-quality content efficiently and effectively.

Wanderboat AI is an intelligent trip planner that helps users find restaurants, attractions, and events in minutes. By leveraging artificial intelligence, the application provides personalized recommendations based on user preferences and interests. Users can easily plan their trips, discover new places, and create memorable experiences with Wanderboat AI.

TimeHero is an AI-powered productivity tool that offers smart task planning and work management solutions for teams and individuals. It helps users schedule, manage, and automate daily tasks, projects, and calendar events in one centralized platform. TimeHero stands out by automatically planning when to work on tasks based on availability, adjusting plans instantly when events change, tasks are completed early, or priorities shift. With features like adaptive planning, autonomous recurring tasks, smart workflow templates, built-in time tracking, automatic risk detection, and project forecasting, TimeHero streamlines work processes and enhances productivity for remote and in-office teams alike.

AI Meal Planner is a personalized AI-powered meal planning tool that generates customized meal plans based on your dietary needs and preferences. It provides dynamic meal suggestions, interactive recipes, and convenient grocery lists, all tailored to your taste, health goals, and seasonality.

Wonderplan is the best AI trip planner and travel planner that helps users dream big and plan easy. It offers personalized travel recommendations, itinerary building, and trip planning services. Users can input their destination, dates, and preferences to receive tailored suggestions for activities and locations. Wonderplan utilizes AI technology to extract information from blogs and videos, curate exceptional travel experiences, and summarize global travel wisdom. The platform provides a user-friendly interface for seamless planning, routing, and visualization of travel plans.

Story Path is an AI-powered book planning and writer's block cure app. It helps writers plan their stories, generate fresh ideas, and overcome writer's block. With Story Path, writers can input a brief description of their story and the app will generate branching options for the plot. Writers can then expand and explore their favorite paths and customize the details to their liking. Story Path is a valuable tool for writers of all levels, from beginners to published authors.

MyMealPlan is an AI-powered meal planning app that helps users create personalized meal plans based on their dietary preferences, allergies, and restrictions. The app offers a variety of recipes from celebrity chefs and curates a list of the best recipes from the web. MyMealPlan also provides users with a grocery list to make shopping for meals easier.

DemoGPT is an all-in-one agent library that provides tools, prompts, frameworks, and LLM models for streamlined agent development. It leverages GPT-3.5-turbo to generate LangChain code, creating interactive Streamlit applications. The tool is designed for creating intelligent, interactive, and inclusive solutions in LLM-based application development. It offers model flexibility, iterative development, and a commitment to user engagement. Future enhancements include integrating Gorilla for autonomous API usage and adding a publicly available database for refining the generation process.

Open-Sora-Plan is a project that aims to create a simple and scalable repo to reproduce Sora (OpenAI, but we prefer to call it "ClosedAI"). The project is still in its early stages, but the team is working hard to improve it and make it more accessible to the open-source community. The project is currently focused on training an unconditional model on a landscape dataset, but the team plans to expand the scope of the project in the future to include text2video experiments, training on video2text datasets, and controlling the model with more conditions.

DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.

LangPort is an open-source platform for serving large language models. It aims to provide a super fast LLM inference service with core features including Huggingface transformers support, distributed serving system, streaming generation, batch inference, and support for various model architectures. It offers compatibility with OpenAI, FauxPilot, HuggingFace, and Tabby APIs. The project supports model architectures like LLaMa, GLM, GPT2, and GPT Neo, and has been tested with models such as NingYu, Vicuna, ChatGLM, and WizardLM. LangPort also provides features like dynamic batch inference, int4 quantization, and generation logprobs parameter.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Ask Astro is an open-source reference implementation of Andreessen Horowitz's LLM Application Architecture built by Astronomer. It provides an end-to-end example of a Q&A LLM application used to answer questions about Apache Airflow® and Astronomer. Ask Astro includes Airflow DAGs for data ingestion, an API for business logic, a Slack bot, a public UI, and DAGs for processing user feedback. The tool is divided into data retrieval & embedding, prompt orchestration, and feedback loops.

Clippinator is a code assistant tool that helps users develop code autonomously by planning, writing, debugging, and testing projects. It consists of agents based on GPT-4 that work together to assist the user in coding tasks. The main agent, Taskmaster, delegates tasks to specialized subagents like Architect, Writer, Frontender, Editor, QA, and Devops. The tool provides project architecture, tools for file and terminal operations, browser automation with Selenium, linting capabilities, CI integration, and memory management. Users can interact with the tool to provide feedback and guide the coding process, making it a powerful tool when combined with human intervention.

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.

Aiwnios is a HolyC Compiler/Runtime designed for 64-bit ARM, RISCV, and x86 machines, including Apple M1 Macs, with plans for supporting other architectures in the future. The project is currently a work in progress, with regular updates and improvements planned. Aiwnios includes a sockets API (currently tested on FreeBSD) and a HolyC assembler accessible through AARCH64. The heart of Aiwnios lies in `arm_backend.c`, where the compiler is located, and a powerful AARCH64 assembler in `arm64_asm.c`. The compiler uses reverse Polish notation and statements are reversed. The developer manual is intended for developers working on the C side, providing detailed explanations of the source code.

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.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Markdowner is a fast tool designed to convert any website into LLM-ready markdown data. It aims to improve the quality of responses in the AI app Supermemory by structuring and predicting data in markdown format. The tool offers features such as website conversion, LLM filtering, detailed markdown mode, auto crawler, text and JSON responses, and easy self-hosting. Markdowner utilizes Cloudflare's Browser rendering and Durable objects for browser instance creation and markdown conversion. Users can self-host the project with the Workers paid plan, following simple steps. Support the project by starring the repository.

Ianvs is a distributed synergy AI benchmarking project incubated in KubeEdge SIG AI. It aims to test the performance of distributed synergy AI solutions following recognized standards, providing end-to-end benchmark toolkits, test environment management tools, test case control tools, and benchmark presentation tools. It also collaborates with other organizations to establish comprehensive benchmarks and related applications. The architecture includes critical components like Test Environment Manager, Test Case Controller, Generation Assistant, Simulation Controller, and Story Manager. Ianvs documentation covers quick start, guides, dataset descriptions, algorithms, user interfaces, stories, and roadmap.

RSS Can is a tool designed to simplify and improve RSS feed management. It supports various systems and architectures, including Linux and macOS. Users can download the binary from the GitHub release page or use the Docker image for easy deployment. The tool provides CLI parameters and environment variables for customization. It offers features such as memory and Redis cache services, web service configuration, and rule directory settings. The project aims to support RSS pipeline flow, NLP tasks, integration with open-source software rules, and tools like a quick RSS rules generator.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance. One of the critical functionalities of Sparrow - pluggable architecture. You can easily integrate and run data extraction pipelines using tools and frameworks like LlamaIndex, Haystack, or Unstructured. Sparrow enables local LLM data extraction pipelines through Ollama or Apple MLX. With Sparrow solution you get API, which helps to process and transform your data into structured output, ready to be integrated with custom workflows. Sparrow Agents - with Sparrow you can build independent LLM agents, and use API to invoke them from your system. **List of available agents:** * **llamaindex** - RAG pipeline with LlamaIndex for PDF processing * **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing * **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing * **haystack** - RAG pipeline with Haystack for PDF processing * **fcall** - Function call pipeline * **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing * **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing * **instructor** - RAG pipeline with Unstructured and Instructor libraries, supports PDF and image processing. Works great for JSON response generation

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

EVE is an official PyTorch implementation of Unveiling Encoder-Free Vision-Language Models. The project aims to explore the removal of vision encoders from Vision-Language Models (VLMs) and transfer LLMs to encoder-free VLMs efficiently. It also focuses on bridging the performance gap between encoder-free and encoder-based VLMs. EVE offers a superior capability with arbitrary image aspect ratio, data efficiency by utilizing publicly available data for pre-training, and training efficiency with a transparent and practical strategy for developing a pure decoder-only architecture across modalities.

Agentica is a human-centric framework for building large language model agents. It provides functionalities for planning, memory management, tool usage, and supports features like reflection, planning and execution, RAG, multi-agent, multi-role, and workflow. The tool allows users to quickly code and orchestrate agents, customize prompts, and make API calls to various services. It supports API calls to OpenAI, Azure, Deepseek, Moonshot, Claude, Ollama, and Together. Agentica aims to simplify the process of building AI agents by providing a user-friendly interface and a range of functionalities for agent development.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

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