Best AI tools for< Setup Workflow >

Supple.ai is an AI-powered content generation tool that helps users create high-quality written content quickly and efficiently. By leveraging advanced natural language processing algorithms, Supple.ai can generate articles, blog posts, product descriptions, and more in a matter of minutes. The tool is designed to assist content creators, marketers, and businesses in streamlining their content creation process and improving productivity.

RunComfy is a premier ComfyUI platform that provides a cloud-based environment for creating stunning art using cutting-edge AI models and nodes. It offers a user-friendly interface with a node-based graph system, allowing users to craft complex image and video creation workflows without the need for coding expertise. RunComfy features preloaded nodes and models, dedicated machines with powerful GPUs, and a range of ComfyUI workflows and tutorials to help users unleash their creativity effortlessly.

RunComfy is a cloud-based platform that provides a graphical user interface (GUI) for creating AI art in images, videos, and animations. It offers a variety of pre-built workflows and models, making it easy for users to get started with AI art creation. RunComfy also provides a range of features and advantages that make it a powerful tool for both beginners and experienced users.

AppSec Assistant is an AI-powered application designed to provide automated security recommendations in Jira Cloud. It focuses on ensuring data security by enabling secure-by-design software development. The tool simplifies setup by allowing users to add their OpenAI API key and organization, encrypts and stores data using Atlassian's Storage API, and provides tailored security recommendations for each ticket to reduce manual AppSec reviews. AppSec Assistant empowers developers by keeping up with their pace and helps in easing the security review bottleneck.

Droplette is a smart AI-powered color palette generator designed for Figma & FigJam users. It simplifies the process of creating color schemes by leveraging artificial intelligence to suggest harmonious color combinations. With Droplette, designers can quickly generate aesthetically pleasing palettes to enhance their design workflow. The tool seamlessly integrates with Figma & FigJam, making it a valuable asset for designers looking to streamline their color selection process.

Stablematic is a web-based platform that allows users to run Stable Diffusion and other machine learning models without the need for local setup or hardware limitations. It provides a user-friendly interface, pre-installed plugins, and dedicated GPU resources for a seamless and efficient workflow. Users can generate images and videos from text prompts, merge multiple models, train custom models, and access a range of pre-trained models, including Dreambooth and CivitAi models. Stablematic also offers API access for developers and dedicated support for users to explore and utilize the capabilities of Stable Diffusion and other machine learning models.

Paperspace is an AI tool designed to develop, train, and deploy AI models of any size and complexity. It offers a cloud GPU platform for accelerated computing, with features such as GPU cloud workflows, machine learning solutions, GPU infrastructure, virtual desktops, gaming, rendering, 3D graphics, and simulation. Paperspace provides a seamless abstraction layer for individuals and organizations to focus on building AI applications, offering low-cost GPUs with per-second billing, infrastructure abstraction, job scheduling, resource provisioning, and collaboration tools.

Applitools is an AI-powered test automation platform that helps businesses improve the quality of their digital experiences. It uses visual AI to validate user interfaces across any type of screen or device, and it can be deployed on-prem, in the cloud, or as a SaaS solution. Applitools integrates with all of the major development tools and workflows, and it offers a wide range of features and advantages that can help businesses save time and money while improving the quality of their software.

LeadFuze is an AI-powered prospecting tool for business leads and candidate sourcing. It offers unlimited and automated lead generation software that sets lead generation on autopilot. LeadFuze aggregates, matches, and verifies information in real-time across 500+ million people. It provides accurate contact and data intelligence for revenue teams and recruiters, with top ratings for ease-of-use, quality of support, and ease-of-setup. The tool is built specifically for sales, marketing, and recruiting use cases, offering hyper-targeted lead searches, complete list building automation, and integration with CRM and workflow tools. LeadFuze's AI capabilities allow users to find new leads, search specific accounts, and automate lead generation workflows effortlessly.

Toolpath is an AI-powered CAM automation tool for CNC machining. It analyzes parts for machinability, estimates costs, plans machining strategies, and generates CAM programs for Autodesk Fusion. The tool utilizes AI to optimize toolpaths and increase CNC machining productivity. Toolpath simplifies workflow by automating setup and toolpath generation, allowing users to focus on machining. It offers intelligent estimating, seamless CAM integration, and design for manufacturing capabilities. Designed by machinists, Toolpath aims to help both new and experienced users save time, reduce waste, and enhance productivity in the field of CNC machining.

EasyFill.ai is an AI-powered platform offering digital forms for modern businesses. It leverages cutting-edge technology like ChatGPT for AI-assisted form generation, automates form setup, provides cloud-based system access, enables payment collection through Stripe, and offers features for linking forms to websites and receiving responses via email. The platform aims to streamline administrative processes and enhance productivity by embracing the digital age with advanced AI assistance and secure e-signatures.

Bitrix24 is an all-in-one online workspace for businesses, offering tools for CRM, tasks, online meetings, and more. It provides features such as sales management, team collaboration, task and project management, online document storage, website creation, online store setup, HR and automation tools, and AI-powered assistance through CoPilot. Bitrix24 aims to streamline business operations and enhance team productivity by centralizing various business functions in one platform.

WABO is an AI-powered platform that leverages the official WhatsApp Business API to supercharge business growth by 10x. It offers a suite of tools for marketing, sales, service, and support, enabling personalized interactions with customers. With features like chatbots, broadcast messages, drip campaigns, CRM integration, and interactive contacts management, WABO streamlines team communication, enhances customer engagement, and optimizes marketing campaigns. The platform provides 24/7 support, quick setup for chatbots, automated responses, and effortless shift to human support for complex inquiries, making it a comprehensive solution for businesses looking to leverage WhatsApp for their marketing strategy.

LaunchPal is an AI-powered marketing tool designed to streamline and enhance the marketing workflow for individuals, agencies, and enterprises. It enables users to train AI on new brands in minutes, deliver results quickly, manage clients efficiently, and improve content delivery over time. LaunchPal offers features such as effortless setup, content engine, client portal, pricing plans tailored for different user needs, and a user-friendly interface for a seamless experience.

Kardow is the ultimate AI-powered blog builder that allows users to create and manage professional blogs without the need for any setup or coding. With features like AI writer, image generator, SEO optimization, multi-language support, and social media integration, Kardow aims to make blogging accessible to everyone. The platform offers personalized text and image recommendations to optimize the writer's workflow and encourage creativity, enabling users to generate high-quality content quickly and easily.

HowsThisGoing is an AI-powered application designed to streamline team communication and productivity by enabling users to set up standups in Slack within seconds. The platform offers features such as automatic standups, AI summaries, custom tests, analytics & reporting, and workflow scheduling. Users can easily create workflows, generate AI reports, and track team performance efficiently. HowsThisGoing provides unlimited benefits at a flat price, making it a cost-effective solution for teams of all sizes.

LogicLoop is an all-in-one operations automation platform that allows users to set up alerts and automations on top of their data. It is designed to help businesses monitor their operations, identify risks, and take action to prevent problems. LogicLoop can be used by businesses of all sizes and industries, and it is particularly well-suited for businesses that are looking to improve their efficiency and reduce their risk.

Glencoco is a tech-enabled sales marketplace that empowers businesses to become fractional sales representatives. The platform offers AI-enabled SDRs on a pay-for-performance basis, helping businesses grow their pipeline by finding the right prospects and maximizing ROI. Glencoco provides insights on prospect responses, integrates dialing and email solutions, and allows users to set up campaigns, select sales development reps, and optimize results. The platform combines human contractors with AI workflows to deliver successful outbound sales motions effortlessly.

Leary.xyz is a cutting-edge digital agency specializing in automation solutions. We leverage advanced technologies, such as AI and process automation, to streamline business processes, enhance productivity, and drive efficiency. Our services include process automation, auto-blogger setups, and AI-powered chatbots. We aim to enhance your business operations by automating repetitive tasks and leveraging the power of artificial intelligence.

PaletteBrain is a powerful and customizable ChatGPT application for Mac users. It allows users to access the capabilities of ChatGPT across all Mac applications with the press of a shortcut. By automating tasks, reducing manual inputs, and providing customizable templates, PaletteBrain enhances productivity and streamlines workflow. Users can create and use custom ChatGPT templates, set up shortcuts, and have full control over preferences. The application is designed to save time, improve efficiency, and provide quick access to ChatGPT functionalities.

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.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

Harbor is a containerized LLM toolkit that simplifies the initial configuration of various LLM-related projects by providing a CLI and pre-configured Docker Compose setup. It serves as a base for managing local LLM stack, offering convenience utilities for tasks like model management, configuration, and service debugging. Users can access service CLIs via Docker without installation, benefit from pre-configured services that work together, share and reuse host cache, and co-locate service configs. Additionally, users can eject from Harbor to run services without it.

AI Code Reviewer is a GitHub Action that utilizes OpenAI's GPT-4 API to provide intelligent feedback and suggestions on pull requests. It helps enhance code quality and streamline the code review process by offering insightful comments and filtering out specified files. The tool is easy to set up and integrate into GitHub workflows.

SuperDuperDB is a Python framework for integrating AI models, APIs, and vector search engines directly with your existing databases, including hosting of your own models, streaming inference and scalable model training/fine-tuning. Build, deploy and manage any AI application without the need for complex pipelines, infrastructure as well as specialized vector databases, and moving our data there, by integrating AI at your data's source: - Generative AI, LLMs, RAG, vector search - Standard machine learning use-cases (classification, segmentation, regression, forecasting recommendation etc.) - Custom AI use-cases involving specialized models - Even the most complex applications/workflows in which different models work together SuperDuperDB is **not** a database. Think `db = superduper(db)`: SuperDuperDB transforms your databases into an intelligent platform that allows you to leverage the full AI and Python ecosystem. A single development and deployment environment for all your AI applications in one place, fully scalable and easy to manage.

Ollama Colab Integration V4 is a tool designed to enhance the interaction and management of large language models. It allows users to quantize models within their notebook environment, access a variety of models through a user-friendly interface, and manage public endpoints efficiently. The tool also provides features like LiteLLM proxy control, model insights, and customizable model file templating. Users can troubleshoot model loading issues, CPU fallback strategies, and manage VRAM and RAM effectively. Additionally, the tool offers functionalities for downloading model files from Hugging Face, model conversion with high precision, model quantization using Q and Kquants, and securely uploading converted models to Hugging Face.

Build fast and accurate GenAI applications with GraphRAG SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ontology management, and state-of-the-art LLMs to deliver accurate, efficient, and customizable RAG workflows. The SDK simplifies the development process by automating ontology creation, knowledge graph agent creation, and query handling, enabling users to interact and query their knowledge graphs effectively. It supports multi-agent systems and orchestrates agents specialized in different domains. The SDK is optimized for FalkorDB, ensuring high performance and scalability for large-scale applications. By leveraging knowledge graphs, it enables semantic relationships and ontology-driven queries that go beyond standard vector similarity, enhancing retrieval-augmented generation capabilities.

agentUniverse is a multi-agent framework based on large language models, providing flexible capabilities for building individual agents. It focuses on multi-agent collaborative patterns, integrating domain experience to help agents solve problems in various fields. The framework includes pattern components like PEER and DOE for event interpretation, industry analysis, and financial report generation. It offers features for agent construction, multi-agent collaboration, and domain expertise integration, aiming to create intelligent applications with professional know-how.

LEADS is a lightweight embedded assisted driving system designed to simplify the development of instrumentation, control, and analysis systems for racing cars. It is written in Python and C/C++ with impressive performance. The system is customizable and provides abstract layers for component rearrangement. It supports hardware components like Raspberry Pi and Arduino, and can adapt to various hardware types. LEADS offers a modular structure with a focus on flexibility and lightweight design. It includes robust safety features, modern GUI design with dark mode support, high performance on different platforms, and powerful ESC systems for traction control and braking. The system also supports real-time data sharing, live video streaming, and AI-enhanced data analysis for driver training. LEADS VeC Remote Analyst enables transparency between the driver and pit crew, allowing real-time data sharing and analysis. The system is designed to be user-friendly, adaptable, and efficient for racing car development.

Visionatrix is a project aimed at providing easy use of ComfyUI workflows. It offers simplified setup and update processes, a minimalistic UI for daily workflow use, stable workflows with versioning and update support, scalability for multiple instances and task workers, multiple user support with integration of different user backends, LLM power for integration with Ollama/Gemini, and seamless integration as a service with backend endpoints and webhook support. The project is approaching version 1.0 release and welcomes new ideas for further implementation.

**OpenAI Chat API Workflow for Alfred** An Alfred 5 Workflow for using OpenAI Chat API to interact with GPT-3.5/GPT-4 🤖💬 It also allows image generation 🖼️, image understanding 👀, speech-to-text conversion 🎤, and text-to-speech synthesis 🔈 **Features:** * Execute all features using Alfred UI, selected text, or a dedicated web UI * Web UI is constructed by the workflow and runs locally on your Mac 💻 * API call is made directly between the workflow and OpenAI, ensuring your chat messages are not shared online with anyone other than OpenAI 🔒 * OpenAI does not use the data from the API Platform for training 🚫 * Export chat data to a simple JSON format external file 📄 * Continue the chat by importing the exported data later 🔄

zsh-github-copilot is a `zsh` plugin that enhances the GitHub Copilot experience by providing keybinds to quickly access command explanations and get Copilot suggestions. It integrates seamlessly with GitHub CLI and offers a smooth setup process. Users can easily install the plugin using popular zsh plugin managers like antigen, oh-my-zsh, zinit, zplug, and zpm. By binding specific keys, users can access the 'suggest' and 'explain' functionalities to improve their coding workflow with GitHub Copilot. This plugin is designed to streamline the usage of GitHub Copilot within the zsh shell environment.

Eko is a lightweight and flexible command-line tool for managing environment variables in your projects. It allows you to easily set, get, and delete environment variables for different environments, making it simple to manage configurations across development, staging, and production environments. With Eko, you can streamline your workflow and ensure consistency in your application settings without the need for complex setup or configuration files.

Astra.ai is a multimodal agent powered by TEN, showcasing its capabilities in speech, vision, and reasoning through RAG from local documentation. It provides a platform for developing AI agents with features like RTC transportation, extension store, workflow builder, and local deployment. Users can build and test agents locally using Docker and Node.js, with prerequisites including Agora App ID, Azure's speech-to-text and text-to-speech API keys, and OpenAI API key. The platform offers advanced customization options through config files and API keys setup, enabling users to create and deploy their AI agents for various tasks.

Athina is an open-source library designed to help engineers improve the reliability and performance of Large Language Models (LLMs) through eval-driven development. It offers plug-and-play preset evals for catching and preventing bad outputs, measuring model performance, running experiments, A/B testing models, detecting regressions, and monitoring production data. Athina provides a solution to the flaws in current LLM developer workflows by offering rapid experimentation, customizable evaluators, integrated dashboard, consistent metrics, historical record tracking, and easy setup. It includes preset evaluators for RAG applications and summarization accuracy, as well as the ability to write custom evals. Athina's evals can run on both development and production environments, providing consistent metrics and removing the need for manual infrastructure setup.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=