Best AI tools for< Manage Project Flow >
20 - AI tool Sites
Epicflow
Epicflow is an AI-based multi-project and resource management software designed to help organizations deliver more projects on time with available resources, increase profitability, and make informed project decisions using real-time data and predictive analytics. The software bridges demand and supply by matching talent based on competencies, experience, and availability. It offers features like AI assistant, What-If Analysis, Future Load Graph, Historical Load Graph, Task List, and Competence Management Pipeline. Epicflow is trusted by leading companies in various industries for high performance and flawless project delivery.
Ayanza Platform
Ayanza Platform is a collaborative project management software designed to enhance team productivity and success. It provides a productive space for organizations to align objectives, manage projects, optimize workflows, and journal work experiences. The platform offers subscription packages with features like tasks management, notes, wiki, chat, and integrations. Additionally, it includes AI assistants powered by GPT-3.5 and GPT-4 for advanced support. Users can choose from different plans based on their needs, with options for free, premium, and enterprise levels.
BeeDone
BeeDone is a gamified AI daily planner application designed to help users crush tasks, turn routines into wins, maintain habits, and enhance productivity. The app offers a range of features such as flexible habit tailoring, smart todo lists, automatic routine personalization, great focus enhancement, task splitting, smart organization, task roulette, Eisen Flow prioritization, strong habit formation, auto task classification, easy delegation, and guided breathing exercises. BeeDone aims to simplify life effortlessly, inspire users, reduce stress, and boost productivity by providing a personalized task management experience. The application offers both freemium and premium subscription options, with the premium plan granting access to additional productivity hacks and community features.
Boomerang for Gmail
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.
Botonomous
Botonomous is an AI-powered platform that helps businesses automate their workflows. With Botonomous, you can create advanced automations for any domain, check your flows for potential errors before running them, run multiple nodes concurrently without waiting for the completion of the previous step, create complex, non-linear flows with no-code, and design human interactions to participate in your automations. Botonomous also offers a variety of other features, such as webhooks, scheduled triggers, secure secret management, and a developer community.
EdrawMind
EdrawMind is a mind mapping software that helps users to organize their ideas, collaborate with others, and create presentations. It offers a variety of features, including the ability to create mind maps, timelines, tree charts, and bubble maps. EdrawMind also includes a number of AI-powered features, such as AI One-Click Mind Map Creation, AI SWOT Analysis, and AI Brainstorming. These features can help users to quickly and easily create mind maps, generate creative ideas, and improve their productivity.
Min87
Min87 is an AI-powered website that offers various features such as Auto Flowchart and Mermaid Online Editor. It also provides an online and offline 8 ball pool game called Billiards 2k(2024). The site combines AI technology with interactive tools to enhance user experience and productivity.
Quack AI
Quack AI is a software tool designed to assist software development teams in aligning their expectations and improving their contribution flow. It offers a VSCode extension that helps in shaping and maintaining consistency within developer teams. The tool provides guideline curation, contribution assistance, and failure analysis & iteration to streamline the development process. Quack AI is developed by Quack Labs, Inc., aiming to simplify the review process and enhance project management for software teams.
Slatebox
Slatebox is an AI-powered visualization platform that allows users to create editable visualizations from natural language. With Slatebox, users can create mind maps, flowcharts, diagrams, and more, simply by providing a text prompt or URL. Slatebox also offers a variety of templates and features to help users get started, including real-time collaboration, auto-population, and API integration.
EdrawMax
EdrawMax is a diagramming software that uses AI to help users create stunning diagrams. It has a wide range of features, including smart containers, Boolean operations, a customizable symbol library, data import and export, and presentation mode. EdrawMax is available for Windows, Mac, Linux, iOS, and Android, and it offers a variety of templates to help users get started. With its powerful features and ease of use, EdrawMax is a great choice for anyone who needs to create diagrams.
Edraw.AI
Edraw.AI is an AI-powered visual collaboration platform that empowers users to create various types of content including diagrams, charts, and presentations in seconds. It offers a wide range of features such as flowchart maker, mind map maker, org chart maker, and more. With a beginner-friendly interface and vast resources, Edraw.AI enables real-time collaboration and teamwork without the need for downloads. It caters to different industries like project management, research, engineering, marketing, consulting, education, and IT, providing tools for enhanced visualization, planning, and communication.
BeeDone
BeeDone is a gamified AI daily planner application designed to help users crush tasks, turn routines into wins, maintain habits, and enhance productivity. It offers a range of features such as flexible habit tailoring, smart todo list customization, automatic routine personalization, great focus timer, task splitting, smart organizer, task roulette, Eisen Flow prioritizer, strong habit formation, auto task classification, easy delegation, and guided breathing exercises. Users can choose between a freemium or premium subscription model to access additional features and productivity hacks. BeeDone has received positive feedback from users for its adaptability, automation, and intuitive design, making it a valuable tool for personal and professional task management.
Diagramix
Diagramix is an AI-powered tool that allows users to generate various types of diagrams, such as sequence diagrams, flowcharts, state diagrams, ER diagrams, user journey diagrams, class diagrams, mind maps, and use case diagrams. Users can create these diagrams easily and efficiently with the help of Diagramix and ChatGPT. The tool provides a user-friendly interface for creating visual representations of complex systems and processes, making it ideal for professionals, students, and anyone who needs to visualize information.
SmartflowAI
SmartflowAI is a platform that helps companies save resources and time by simplifying workflows with generative AI. It offers a variety of pre-built workflows that are aligned with the needs of customers, and uses a complex Generative AI Tech Stack with a range of algorithms, AI models, and Data APIs to combine them into unique intelligent flows.
DocTranslator
DOCTRANSLATOR.COM is an AI-powered online document translation platform that offers seamless translation services for various document formats. With support for over 100 languages, the platform ensures accurate and contextually relevant translations while maintaining the natural flow of content. Users can easily upload documents, track translation progress, and receive high-quality translations tailored to their audience. The platform simplifies the translation process, providing status tracking, dedicated support, and a user-friendly experience.
GitMind
GitMind is an AI-powered free collaborative mind mapping software designed for brainstorming and idea co-creation. It stimulates the flow of ideas, allowing users to create mind maps, flowcharts, organizational charts, UML diagrams, and swimlanes. The platform focuses on enhancing creativity, promoting the evolution of individual and organizational consciousness, and making ideas more valuable. GitMind aims to empower users to create their own metaverse of ideas by connecting, flowing, and co-creating valuable ideas.
Whimsical
Whimsical is an iterative workspace designed for product teams to collaborate effectively. It offers a range of tools such as flowcharts, wireframes, mind maps, and documentation features to help teams visualize ideas, streamline processes, and create a shared understanding. With Whimsical, users can generate diagrams quickly, brainstorm and organize ideas visually, and build wireframes with ease. The platform promotes clarity, collaboration, and efficiency in product development projects.
Metaflow
Metaflow is an open-source framework for building and managing real-life ML, AI, and data science projects. It makes it easy to use any Python libraries for models and business logic, deploy workflows to production with a single command, track and store variables inside the flow automatically for easy experiment tracking and debugging, and create robust workflows in plain Python. Metaflow is used by hundreds of companies, including Netflix, 23andMe, and Realtor.com.
Bubble
Bubble is a visual programming platform that allows users to create web applications without needing to write code. It offers a wide range of features such as data management, logic creation, collaboration tools, integrations, and security measures. Users can build complex applications using Bubble's intuitive drag-and-drop interface. The platform also provides resources like an academy, ideaboard, and product design tools to support users in their app development journey.
PaceAI
PaceAI is an AI assistant designed for IT professionals to generate, analyze, and simplify software documentation on IT projects. It uses advanced generative AI models to understand the user's vision, analyze requirements, and automatically generate clear, concise software documentation tailored to the project's needs. With 35+ powerful AI tools, PaceAI assists in every phase of the project, from planning to deployment.
20 - Open Source AI Tools
generative-bi-using-rag
Generative BI using RAG on AWS is a comprehensive framework designed to enable Generative BI capabilities on customized data sources hosted on AWS. It offers features such as Text-to-SQL functionality for querying data sources using natural language, user-friendly interface for managing data sources, performance enhancement through historical question-answer ranking, and entity recognition. It also allows customization of business information, handling complex attribution analysis problems, and provides an intuitive question-answering UI with a conversational approach for complex queries.
agentneo
AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.
workbench-example-hybrid-rag
This NVIDIA AI Workbench project is designed for developing a Retrieval Augmented Generation application with a customizable Gradio Chat app. It allows users to embed documents into a locally running vector database and run inference locally on a Hugging Face TGI server, in the cloud using NVIDIA inference endpoints, or using microservices via NVIDIA Inference Microservices (NIMs). The project supports various models with different quantization options and provides tutorials for using different inference modes. Users can troubleshoot issues, customize the Gradio app, and access advanced tutorials for specific tasks.
AgentNeo
AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.
aiid
The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.
flowgen
FlowGen is a tool built for AutoGen, a great agent framework from Microsoft and a lot of contributors. It provides intuitive visual tools that streamline the construction and oversight of complex agent-based workflows, simplifying the process for creators and developers. Users can create Autoflows, chat with agents, and share flow templates. The tool is fully dockerized and supports deployment on Railway.app. Contributions to the project are welcome, and the platform uses semantic-release for versioning and releases.
airflow-chart
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
Hexabot
Hexabot Community Edition is an open-source chatbot solution designed for flexibility and customization, offering powerful text-to-action capabilities. It allows users to create and manage AI-powered, multi-channel, and multilingual chatbots with ease. The platform features an analytics dashboard, multi-channel support, visual editor, plugin system, NLP/NLU management, multi-lingual support, CMS integration, user roles & permissions, contextual data, subscribers & labels, and inbox & handover functionalities. The directory structure includes frontend, API, widget, NLU, and docker components. Prerequisites for running Hexabot include Docker and Node.js. The installation process involves cloning the repository, setting up the environment, and running the application. Users can access the UI admin panel and live chat widget for interaction. Various commands are available for managing the Docker services. Detailed documentation and contribution guidelines are provided for users interested in contributing to the project.
project_alice
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.
HuggingFists
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.
FlowTest
FlowTestAI is the world’s first GenAI powered OpenSource Integrated Development Environment (IDE) designed for crafting, visualizing, and managing API-first workflows. It operates as a desktop app, interacting with the local file system, ensuring privacy and enabling collaboration via version control systems. The platform offers platform-specific binaries for macOS, with versions for Windows and Linux in development. It also features a CLI for running API workflows from the command line interface, facilitating automation and CI/CD processes.
dbgpts
The dbgpts repository contains data apps, AWEL operators, AWEL workflow templates, and agents that are built upon DB-GPT. Users can install and manage these components within their DB-GPT environment. The repository offers functionalities such as listing available flows, installing dbgpts from the official repository, viewing installed dbgpts, running flows, and managing repositories. Users can create new workflow templates and operators using the provided commands. The repository aims to enhance the capabilities of DB-GPT by providing a collection of useful tools and resources for data processing and workflow management.
blum-airdrop-bot
Blum Airdrop Bot automates interactions with the Blum airdrop platform, allowing users to claim rewards, manage farming sessions, complete tasks, and play games automatically. It includes features like claiming farm rewards, starting farming sessions, auto-completing tasks, auto-playing games, and claiming daily rewards. Users can choose between Default Flow for manual task selection and One-time Flow for continuous automated tasks. The setup requires Node.js, npm, and setting up a `.env` file with `QUERY_ID`. The bot can be started with `npm start` and supports donations in Solana, EVM, and BTC.
llmops-promptflow-template
LLMOps with Prompt flow is a template and guidance for building LLM-infused apps using Prompt flow. It provides centralized code hosting, lifecycle management, variant and hyperparameter experimentation, A/B deployment, many-to-many dataset/flow relationships, multiple deployment targets, comprehensive reporting, BYOF capabilities, configuration-based development, local prompt experimentation and evaluation, endpoint testing, and optional Human-in-loop validation. The tool is customizable to suit various application needs.
backend.ai-webui
Backend.AI Web UI is a user-friendly web and app interface designed to make AI accessible for end-users, DevOps, and SysAdmins. It provides features for session management, inference service management, pipeline management, storage management, node management, statistics, configurations, license checking, plugins, help & manuals, kernel management, user management, keypair management, manager settings, proxy mode support, service information, and integration with the Backend.AI Web Server. The tool supports various devices, offers a built-in websocket proxy feature, and allows for versatile usage across different platforms. Users can easily manage resources, run environment-supported apps, access a web-based terminal, use Visual Studio Code editor, manage experiments, set up autoscaling, manage pipelines, handle storage, monitor nodes, view statistics, configure settings, and more.
council
Council is an open-source platform designed for the rapid development and deployment of customized generative AI applications using teams of agents. It extends the LLM tool ecosystem by providing advanced control flow and scalable oversight for AI agents. Users can create sophisticated agents with predictable behavior by leveraging Council's powerful approach to control flow using Controllers, Filters, Evaluators, and Budgets. The framework allows for automated routing between agents, comparing, evaluating, and selecting the best results for a task. Council aims to facilitate packaging and deploying agents at scale on multiple platforms while enabling enterprise-grade monitoring and quality control.
Local-Multimodal-AI-Chat
Local Multimodal AI Chat is a multimodal chat application that integrates various AI models to manage audio, images, and PDFs seamlessly within a single interface. It offers local model processing with Ollama for data privacy, integration with OpenAI API for broader AI capabilities, audio chatting with Whisper AI for accurate voice interpretation, and PDF chatting with Chroma DB for efficient PDF interactions. The application is designed for AI enthusiasts and developers seeking a comprehensive solution for multimodal AI technologies.
ollama-ebook-summary
The 'ollama-ebook-summary' repository is a Python project that creates bulleted notes summaries of books and long texts, particularly in epub and pdf formats with ToC metadata. It automates the extraction of chapters, splits them into ~2000 token chunks, and allows for asking arbitrary questions to parts of the text for improved granularity of response. The tool aims to provide summaries for each page of a book rather than a one-page summary of the entire document, enhancing content curation and knowledge sharing capabilities.
second-brain-agent
The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.
20 - OpenAI Gpts
Flowchart, MindMap, Sequential Diagram
The specific types of diagrams I can produce, such as sequence diagrams, mind maps, and flowcharts, along with the appropriate contexts for each type.
Diagrams: Show Me | charts, presentations, code
Diagram creation: flowcharts, mindmaps, UML, chart, PlotUML, workflow, sequence, ERD, database & architecture visualization for code, presentations and documentation. [New] Add a logo or any image to graph diagrams. Easy Download & Edit
Diagramas: Muéstrame
Cree diagramas, visualizaciones de arquitectura, diagramas de flujo, mapas mentales, esquemas y más. Ideal para codificación, presentaciones y documentación de códigos. ¡Exporta y edita tu diagrama gratis!
Mermaid Architect GPT | 💡 -> 👁
Turn your projects' Ideas into Clear Flowcharts(data flow) with Recommended Tech Stack
Project Delivery Handbook (Construction)
Assistant for creating a construction project delivery handbook.
Project Documentation Advisor
Guides the organization in creating comprehensive project closure documents.
Winternet - (Project Proposals)
Assists with Information Technology related project proposal creation and submission.
Project Resource Planning Advisor
Optimizes project resources to ensure efficient delivery.
Project Deliverable Submission Advisor
Guides project teams towards successful deliverable submissions.