Best AI tools for< Schedule Reminders >

Yatter AI is a powerful AI tool available on WhatsApp and Telegram, designed to enhance productivity, content writing, and career growth. It leverages top AI models and technologies from companies like ChatGPT, Google Gemini, Meta AI, and Groq AI to provide users with advanced features such as voice AI chat messaging, image detection, reminder scheduling, real-time weather updates, multilingual conversation support, and more. Yatter AI revolutionizes communication and information retrieval, offering seamless interactions and personalized experiences for users worldwide.

Simular is a personal AI application that enables users to interact with their computers in a human-like manner. It allows users to automate digital actions, such as searching for flights, deleting spam emails, and filling out online forms. Simular aims to enhance productivity by sharing and organizing memory, as well as personalizing tasks for a seamless user experience.

uLog.ai is a conversational journaling application powered by an intelligent AI companion. It offers users the ability to create detailed timelines on any subject by engaging in conversations with the AI. With customizable reminders and interactive AI conversations, uLog.ai aims to help users track their thoughts, ideas, and memories in a revolutionary way. The application ensures privacy by not sharing user data and provides a web app experience with a progressive web application. Users can manage multiple topics, schedule reminders, engage in meaningful conversations, track their journey through timelines, and review/edit summaries to grow with their AI companion.

Felix is a Slack AI assistant that helps you get work done faster and more efficiently. With Felix, you can: * Schedule meetings * Set reminders * Create tasks * Get news and weather updates * And much more!

Dola is an AI calendar assistant that helps users schedule their lives efficiently and save time. It allows users to set reminders, make calendar events, and manage tasks through natural language communication. Dola works with voice messages, text messages, and images, making it a versatile and user-friendly tool. With features like smarter scheduling, daily weather reports, faster search, and seamless integration with popular calendar apps, Dola aims to simplify task and time management for its users. The application has received positive feedback for its accuracy, ease of use, and ability to sync across multiple devices.

Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders, all through natural language conversations. Dola also integrates with your existing calendar apps, so you can keep all your events in one place.

Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders, all without having to fill out tedious forms or quote previous calendar events. Dola also supports group chats, so you can easily schedule events with friends and family. Dola is available on iOS, Android, and the web.

Boomerang for Gmail is a meeting scheduling and email management tool that helps you save time and be more productive. With Boomerang, you can schedule emails to be sent later, set reminders to follow up on messages, and pause your inbox to avoid distractions. Boomerang also includes a number of AI-powered features, such as Respondable, which helps you write better emails, and Inbox Pause, which helps you manage your email flow more effectively.

BookingBee.ai is an AI appointment scheduling software that offers a comprehensive solution for beauty and wellness businesses. It provides an AI receptionist that handles appointment scheduling, lead capture, client engagement, and multilingual support. The platform helps businesses streamline operations, minimize no-shows, communicate with clients via text, and gain insights through real-time analytics. BookingBee.ai empowers businesses to grow by automating front-desk duties, marketing across channels, and turning one-time clients into repeat customers.

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.

EliseAI is an industry-leading AI application designed for the housing and healthcare sectors. It offers a comprehensive suite of AI solutions for property management companies, assisting in leasing, maintenance, renewals, and delinquency management. EliseAI streamlines communication across multiple channels, providing personalized, omni-channel support to prospects and residents. The platform automates tasks such as responding to maintenance requests, sending renewal reminders, and reducing delinquencies through automated reminders and follow-ups. With features like voice, text, email, and chat support, EliseAI enhances the prospect-to-resident journey, improving operational efficiency and resident satisfaction.

PetsApp is a comprehensive veterinary engagement and communication platform that offers a range of features including text and SMS chat, appointment booking, reminders, digital payments, video calls, and AI-assisted communication. It is designed to streamline communication between veterinary teams and clients, improve client engagement, and enhance overall clinic efficiency. PetsApp has been widely adopted by veterinary professionals and clinics, helping them save time, increase client satisfaction, and boost wellness plan subscriptions.

Scheduled App is a messaging automation tool that allows users to schedule and send messages across various platforms such as iMessage, WhatsApp, Telegram, Line, and SMS. It helps users stay connected with their contacts by enabling them to send messages at specific times. The app also includes a Personal Relationship Manager feature to manage important relationships efficiently. Scheduled App aims to create meaningful moments by facilitating communication and organization through scheduled messaging.

Olly is an AI-powered personal assistant designed to help users with various tasks and provide valuable information. It utilizes advanced natural language processing and machine learning algorithms to understand user queries and provide accurate responses. Olly can assist with tasks such as setting reminders, scheduling appointments, answering questions, and providing recommendations. With its user-friendly interface and intuitive design, Olly aims to streamline daily activities and enhance productivity.

Cranberry Apps is a company that develops sleek and simple apps for everyday use. Their apps include Lori, a personal AI assistant; Countdown, a home screen widget for tracking upcoming events; Birthday, a home screen widget for tracking upcoming birthdays; Keybot, an AI keyboard extension; and Luana, a self-care app. Cranberry Apps' mission is to elevate simplicity by providing users with apps that are easy to use and make their lives easier.

wyd.ai is an AI tool designed to streamline communication and enhance productivity. It leverages artificial intelligence to facilitate seamless interactions through various channels, such as text messaging and email. The tool aims to simplify the process of exchanging information and coordinating tasks by providing intelligent suggestions and automating repetitive actions. With a user-friendly interface and advanced algorithms, wyd.ai empowers users to communicate more efficiently and effectively in both personal and professional settings.

This AI-powered voice and vision assistant offers a range of features to enhance communication, productivity, and learning. Engage in natural voice conversations, get assistance with daily tasks, manage your schedule, and interact with visuals seamlessly. The assistant adapts to your needs, providing personalized support and advice. With its intuitive interface and affordable pricing, it's an ideal companion for individuals of all ages and interests.

SmileDial is a natural dental AI receptionist designed for Canadian dental practices. It offers a 24/7 AI receptionist system to help dentists save time, reduce costs, and enhance patient satisfaction. The AI-driven receptionist, named Susan, assists in real-time scheduling, automated reminders, insurance checks, and PHIPA compliance. SmileDial aims to maximize bookings, decrease no-shows, and offload time-consuming tasks, ultimately improving the efficiency and patient experience in dental offices.

Pallie is an AI assistant designed to help users with various tasks and activities. It utilizes artificial intelligence technology to provide personalized assistance and support in everyday life. From managing schedules to answering queries, Pallie aims to streamline and simplify daily routines. With its intuitive interface and advanced algorithms, Pallie offers a seamless user experience that adapts to individual preferences and needs.

Insula is an AI assistant application that enables users to communicate in natural speech with cutting-edge AI technology. It offers a user-friendly interface for interacting with the AI assistant, making it easy to get tasks done efficiently. Insula is designed to assist users in various daily tasks and provide personalized recommendations based on user interactions. The application aims to enhance productivity and streamline communication through AI-powered assistance.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

J.A.R.V.I.S.1.0 is an advanced virtual assistant tool designed to assist users in various tasks. It provides a wide range of functionalities including voice commands, task automation, information retrieval, and communication management. With its intuitive interface and powerful capabilities, J.A.R.V.I.S.1.0 aims to enhance productivity and streamline daily activities for users.

Awesome OpenVINO is a curated list of AI projects based on the OpenVINO toolkit, offering a rich assortment of projects, libraries, and tutorials covering various topics like model optimization, deployment, and real-world applications across industries. It serves as a valuable resource continuously updated to maximize the potential of OpenVINO in projects, featuring projects like Stable Diffusion web UI, Visioncom, FastSD CPU, OpenVINO AI Plugins for GIMP, and more.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

This Helm chart bootstraps an Airflow deployment on a Kubernetes cluster using the Helm package manager. The version of this chart does not correlate to any other component. Users should not expect feature parity between OSS airflow chart and the Astronomer airflow-chart for identical version numbers. To install this helm chart remotely (using helm 3) kubectl create namespace airflow helm repo add astronomer https://helm.astronomer.io helm install airflow --namespace airflow astronomer/airflow To install this repository from source sh kubectl create namespace airflow helm install --namespace airflow . Prerequisites: Kubernetes 1.12+ Helm 3.6+ PV provisioner support in the underlying infrastructure Installing the Chart: sh helm install --name my-release . The command deploys Airflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation. Upgrading the Chart: First, look at the updating documentation to identify any backwards-incompatible changes. To upgrade the chart with the release name `my-release`: sh helm upgrade --name my-release . Uninstalling the Chart: To uninstall/delete the `my-release` deployment: sh helm delete my-release The command removes all the Kubernetes components associated with the chart and deletes the release. Updating DAGs: Bake DAGs in Docker image The recommended way to update your DAGs with this chart is to build a new docker image with the latest code (`docker build -t my-company/airflow:8a0da78 .`), push it to an accessible registry (`docker push my-company/airflow:8a0da78`), then update the Airflow pods with that image: sh helm upgrade my-release . --set images.airflow.repository=my-company/airflow --set images.airflow.tag=8a0da78 Docker Images: The Airflow image that are referenced as the default values in this chart are generated from this repository: https://github.com/astronomer/ap-airflow. Other non-airflow images used in this chart are generated from this repository: https://github.com/astronomer/ap-vendor. Parameters: The complete list of parameters supported by the community chart can be found on the Parameteres Reference page, and can be set under the `airflow` key in this chart. The following tables lists the configurable parameters of the Astronomer chart and their default values. | Parameter | Description | Default | | :----------------------------- | :-------------------------------------------------------------------------------------------------------- | :---------------------------- | | `ingress.enabled` | Enable Kubernetes Ingress support | `false` | | `ingress.acme` | Add acme annotations to Ingress object | `false` | | `ingress.tlsSecretName` | Name of secret that contains a TLS secret | `~` | | `ingress.webserverAnnotations` | Annotations added to Webserver Ingress object | `{}` | | `ingress.flowerAnnotations` | Annotations added to Flower Ingress object | `{}` | | `ingress.baseDomain` | Base domain for VHOSTs | `~` | | `ingress.auth.enabled` | Enable auth with Astronomer Platform | `true` | | `extraObjects` | Extra K8s Objects to deploy (these are passed through `tpl`). More about Extra Objects. | `[]` | | `sccEnabled` | Enable security context constraints required for OpenShift | `false` | | `authSidecar.enabled` | Enable authSidecar | `false` | | `authSidecar.repository` | The image for the auth sidecar proxy | `nginxinc/nginx-unprivileged` | | `authSidecar.tag` | The image tag for the auth sidecar proxy | `stable` | | `authSidecar.pullPolicy` | The K8s pullPolicy for the the auth sidecar proxy image | `IfNotPresent` | | `authSidecar.port` | The port the auth sidecar exposes | `8084` | | `gitSyncRelay.enabled` | Enables git sync relay feature. | `False` | | `gitSyncRelay.repo.url` | Upstream URL to the git repo to clone. | `~` | | `gitSyncRelay.repo.branch` | Branch of the upstream git repo to checkout. | `main` | | `gitSyncRelay.repo.depth` | How many revisions to check out. Leave as default `1` except in dev where history is needed. | `1` | | `gitSyncRelay.repo.wait` | Seconds to wait before pulling from the upstream remote. | `60` | | `gitSyncRelay.repo.subPath` | Path to the dags directory within the git repository. | `~` | Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example, sh helm install --name my-release --set executor=CeleryExecutor --set enablePodLaunching=false . Walkthrough using kind: Install kind, and create a cluster We recommend testing with Kubernetes 1.25+, example: sh kind create cluster --image kindest/node:v1.25.11 Confirm it's up: sh kubectl cluster-info --context kind-kind Add Astronomer's Helm repo sh helm repo add astronomer https://helm.astronomer.io helm repo update Create namespace + install the chart sh kubectl create namespace airflow helm install airflow -n airflow astronomer/airflow It may take a few minutes. Confirm the pods are up: sh kubectl get pods --all-namespaces helm list -n airflow Run `kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow` to port-forward the Airflow UI to http://localhost:8080/ to confirm Airflow is working. Login as _admin_ and password _admin_. Build a Docker image from your DAGs: 1. Start a project using astro-cli, which will generate a Dockerfile, and load your DAGs in. You can test locally before pushing to kind with `astro airflow start`. `sh mkdir my-airflow-project && cd my-airflow-project astro dev init` 2. Then build the image: `sh docker build -t my-dags:0.0.1 .` 3. Load the image into kind: `sh kind load docker-image my-dags:0.0.1` 4. Upgrade Helm deployment: sh helm upgrade airflow -n airflow --set images.airflow.repository=my-dags --set images.airflow.tag=0.0.1 astronomer/airflow Extra Objects: This chart can deploy extra Kubernetes objects (assuming the role used by Helm can manage them). For Astronomer Cloud and Enterprise, the role permissions can be found in the Commander role. yaml extraObjects: - apiVersion: batch/v1beta1 kind: CronJob metadata: name: "{{ .Release.Name }}-somejob" spec: schedule: "*/10 * * * *" concurrencyPolicy: Forbid jobTemplate: spec: template: spec: containers: - name: myjob image: ubuntu command: - echo args: - hello restartPolicy: OnFailure Contributing: Check out our contributing guide! License: Apache 2.0 with Commons Clause

Postiz is an ultimate AI social media scheduling tool that offers everything you need to manage your social media posts, build an audience, capture leads, and grow your business. It allows you to schedule posts with AI features, measure work with analytics, collaborate with team members, and invite others to comment and schedule posts. The tech stack includes NX (Monorepo), NextJS (React), NestJS, Prisma, Redis, and Resend for email notifications.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

Ragna is a RAG orchestration framework designed for managing workflows and orchestrating tasks. It provides a comprehensive set of features for users to streamline their processes and automate repetitive tasks. With Ragna, users can easily create, schedule, and monitor workflows, making it an ideal tool for teams and individuals looking to improve their productivity and efficiency. The framework offers extensive documentation, community support, and a user-friendly interface, making it accessible to users of all skill levels. Whether you are a developer, data scientist, or project manager, Ragna can help you simplify your workflow management and boost your overall performance.

Concierge is a versatile automation tool designed to streamline repetitive tasks and workflows. It provides a user-friendly interface for creating custom automation scripts without the need for extensive coding knowledge. With Concierge, users can automate various tasks across different platforms and applications, increasing efficiency and productivity. The tool offers a wide range of pre-built automation templates and allows users to customize and schedule their automation processes. Concierge is suitable for individuals and businesses looking to automate routine tasks and improve overall workflow efficiency.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

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A personal assistant that organizes your agenda (with a downloadable .ics file at the end!)

Efficient Assistant for task management, info retrieval, and scheduling. Offers dynamic, personalized support while ensuring user privacy and data security. Ideal for organizing tasks, setting reminders, and providing up-to-date information.

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A smart personal assistant for your everyday activities.

Personal experience assistant

Your Personal Time Management and Productivity Assistant

Assistant for advanced messaging and communication

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