Open Source JavaScript Artificial Intelligence Software - Page 16
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JavaScript Artificial Intelligence Software
View 16253 business solutionsBrowse free open source JavaScript Artificial Intelligence Software and projects below. Use the toggles on the left to filter open source JavaScript Artificial Intelligence Software by OS, license, language, programming language, and project status.
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MCP Shrimp Task Manager
Shrimp Task Manager is a task tool built for AI Agents
Shrimp Task Manager is an MCP server that converts natural-language requests into structured development tasks with dependencies, status, and style/format rules—built for agents that reason step-by-step. It emphasizes chain-of-thought and reflection loops, allowing an assistant to plan, refine, and re-prioritize work like a human project assistant. The server exposes typed tools so clients can create tasks, link prerequisites, record progress, and enforce writing or coding standards for consistent output. It ships with a web/GUI experience and works smoothly inside MCP-capable IDEs, making it useful as both a personal organizer and a programmable task substrate for software projects. Stars, registry listings, and docs point to active usage across the MCP community. The result is a practical “task brain” that agents can query and evolve over time. -
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MCP UI
SDK for building interactive UI components over MCP for AI tools
mcp-ui is a software development kit designed to bring interactive user interface capabilities to applications built on the Model Context Protocol (MCP). It enables developers to create rich, dynamic UI components that can be delivered from an MCP server and rendered seamlessly by a compatible client. Instead of returning only text responses, tools can provide structured UI resources such as HTML or remote-rendered components, allowing more engaging and functional interactions. mcp-ui introduces a standardized approach where tools and their associated interfaces are linked through metadata, enabling clients to automatically discover and display the correct UI. It includes both client-side and server-side SDKs, making it possible to define UI elements on the backend and handle user interactions on the frontend. It supports multiple programming environments, including TypeScript, Python, and Ruby, broadening its accessibility for developers. -
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MCP WebResearch
MCP web research server (give Claude real-time info from the web)
The MCP Web Research Server is a Model Context Protocol server designed to bring real-time web information into AI applications like Claude, facilitating efficient research on any topic. -
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MITRE Annotation Toolkit
A toolkit for managing and manipulating text annotations
The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations. Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain. MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process. It can be customized for specific tasks (e.g., named entity identification, de-identification of medical records). The goal of MAT is not to help you configure your training engine (in the default case, the Carafe CRF system) to achieve the best possible performance on your data. MAT is for "everything else": all the tools you end up wishing you had. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Machine-Learning-Flappy-Bird
Machine Learning for Flappy Bird using Neural Network
Machine-Learning-Flappy-Bird is an educational machine learning project that demonstrates how an artificial intelligence agent can learn to play the Flappy Bird game using neural networks and evolutionary algorithms. The system simulates a population of birds that each possess their own neural network, which acts as a decision-making controller during gameplay. The neural network receives input features representing the bird’s position relative to the next obstacle and determines whether the bird should flap or remain idle. Over successive generations, a genetic algorithm evolves the neural networks by selecting high-performing agents and recombining their parameters to produce improved offspring. This process allows the AI agents to gradually learn better strategies for navigating the obstacles and surviving longer in the game environment. -
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Manifold ML
A model-agnostic visual debugging tool for machine learning
Manifold is a model-agnostic visual debugging tool for machine learning. Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough to identify what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is inaccurately predicting. Manifold also explains the potential cause of poor model performance by surfacing the feature distribution difference between better and worse-performing subsets of data. -
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Medical decision making algorithm tool. Visual design tool generates Tcl/Tk code. Non-programmers can design interactive algorithms. Generates notes for inclusion in medical record. Runs freestanding or in Tcl Plugin.
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MediaGlyphs
international glyph-based auxlang
MediaGlyphs: an international language based on multimedia ideograms. It allows to read, think or type in your own language sentences written with the shared mediaglyphs: a common writing system for the world, Simple Unambiguous Neutral & Universal. -
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Mermaid.js to SVG Converter
Visualize the diagrams of your projects
While coding with AI assist, I noticed bigger projects need something more rigid as context so the AI coder doesn't stray away when I try to add new features. You know, to keeps its memory fresh and not change the stuff that already works. The trick is to ask the AI to write a diagram in Mermaid.js format that solidifies the structure of the project and then use that as context to keep the AI reminded at all times what the project is as a whole. This will prevent it from changing things its not supposed to change. This standalone offline web app will convert that mermaid.js code into a visual SVG image so that YOU as a human will be able to understand what the AI think about the structure of your projects so you can see it and fix any misconceptions until the diagram is correct for your project. (Source code is included in the html itself. Open it in a web browser to use.) -
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Mito
AI-powered Jupyter spreadsheet that converts workflows into Python
Mito is an open source set of Jupyter extensions designed to speed up Python workflows and data analysis. It combines a spreadsheet-style interface with AI-assisted coding, allowing users to explore, clean, and transform data without switching tools. Mito includes a context-aware AI assistant that helps generate code, debug errors, and guide workflows directly inside Jupyter. Its spreadsheet layer supports familiar functions such as filters, pivot tables, and formulas, while automatically converting every action into production-ready Python code. This removes the need to manually translate spreadsheet logic into scripts. Mito also integrates with tools like Streamlit and Dash, enabling users to embed interactive spreadsheet functionality into apps with minimal setup. Built for analysts, developers, and teams, it simplifies automation, reduces repetitive tasks, and accelerates the transition from data exploration to reusable code. -
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Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
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MongoDB Lens
MongoDB Lens: Full Featured MCP Server for MongoDB Databases
MongoDB Lens is a local Model Context Protocol (MCP) server offering full-featured access to MongoDB databases using natural language via large language models (LLMs). It enables users to perform queries, run aggregations, optimize performance, and more through conversational interactions. -
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine. - Monk GUI - https://github.com/Tessellate-Imaging/Monk_Gui. An interface over these low code tools for non coders. -
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Multi-Page Automation
Browser extension designed to automate OAuth authentication
Multi-Page Automation is a browser extension designed to automate OAuth authentication flows for AI coding tools and integrations. It simplifies the process of obtaining and managing authentication tokens required to access external APIs. The extension handles login steps, token retrieval, and session management automatically. It is particularly useful for developers working with AI tools that require repeated authentication. The project reduces friction in development workflows by eliminating manual login processes. It integrates directly into browser environments for ease of use. Overall, it streamlines secure access to external services in automated workflows. -
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NLP.js
An NLP library for building bots
NLP.js is an NLP library for building bots, with entity extraction, sentiment analysis, automatic language identifier, and much more. "NLP.js" is a general natural language utility for nodejs. Search the best substring of a string with less Levenshtein distance to a given pattern. Get stemmers and tokenizers for several languages. Sentiment Analysis for phrases (with negation support). Named Entity Recognition and management, multi-language support, and acceptance of similar strings, so the introduced text does not need to be exact. Natural Language Processing Classifier, to classify an utterance into intents. NLP Manager, a tool able to manage several languages, the Named Entities for each language, the utterances, and intents for the training of the classifier, and for a given utterance return the entity extraction, the intent classification and the sentiment analysis. -
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NLUX
The powerful Conversational AI JavaScript Library
NLUX, short for Natural Language User Experience, is an open-source JavaScript and React library designed to simplify the creation of conversational interfaces powered by large language models. The library provides developers with prebuilt components and utilities that make it easy to integrate chat-based AI functionality into web applications. By using NLUX, developers can connect their applications to models such as ChatGPT or other LLM providers and create interactive conversational interfaces with minimal setup. The framework supports both React components and standalone JavaScript implementations, giving developers flexibility in how they integrate AI functionality into existing applications. NLUX focuses on improving the user experience of AI-powered systems by providing structured messaging interfaces, streaming responses, and customizable conversational UI elements. -
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The first 3d search engine for text. Javascript only. Work in all browsers. Ajax downloads new words (and links between them) as you move mouse to control AI to learn what you're looking for (in context) and put it on screen. Includes Wikipedia data
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NemoClaw
NVIDIA plugin for secure installation of OpenClaw
NVIDIA NemoClaw is an open-source tool designed to simplify the deployment and management of always-on AI assistants using the OpenClaw ecosystem. It installs and configures the NVIDIA OpenShell runtime, which provides a secure environment for running autonomous AI agents. NemoClaw enables users to launch sandboxed agent environments that control network access, file permissions, and inference requests through policy-based security. The platform integrates with AI models such as NVIDIA Nemotron and supports multiple inference backends including cloud APIs, local NIM deployments, and vLLM. Through its command-line interface, developers can deploy, monitor, and manage AI assistants running inside isolated sandboxes. By combining sandbox orchestration, agent management, and AI model integration, NemoClaw provides a secure foundation for building and operating autonomous AI assistants. -
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Turn-based strategy game for developers/technical experienced users, based on neural networks, algorithmic programming languages and other techniques.
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The Nokia Semantic Web Server is an RDF based knowledge portal for publishing both authoritative and third party descriptions of URI denoted resources. It also serves as Nokia's reference implementation of URIQA, the URI Query Agent model.
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OCR Web based
OCR web based for Browser Firefox & PC
Optical Character Recognition in JS for Browser is based on ocrad.js. OCR for Browser is a free extension and You can use this application to extract text from any image you supply. Just upload your image files. OCR for Browser takes either a JPG, GIF, TIFF, BMP, PNG. ========= Get OCR for Android (Beta release) - https://play.google.com/store/apps/details?id=com.ulm.ocr ========= Add-on for Opera: http://bit.ly/1F0E0wP ========= Release 1.0.1 For safety reasons, I disabled the possibility to import an image from url. Finally, I wish to inform you that you can write or draw directly on the canvas to get the subsequent character recognition and text extraction -
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OP Vault
Give ChatGPT long-term memory using the OP Stack
OP Vault is an open-source system designed to give large language models long-term memory by enabling them to interact with a custom knowledge base built from user-provided documents. It combines a backend written in Go with a React frontend, allowing users to upload files such as PDFs, text documents, and books to create a searchable repository of information. The system uses vector databases like Pinecone alongside OpenAI models to index and retrieve relevant content, enabling precise question-answering grounded in the uploaded materials. Users can query the system in natural language and receive answers that include references to specific files and sections, improving transparency and trust in the responses. The project is designed to handle large volumes of data, making it suitable for personal knowledge management, research archives, or enterprise documentation systems. -
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Ohod Speed Reading
Speed Reading
برنامج القراءة السريعة برنامج للتدريب على القراءة السريعة جدا -
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The OpenBorges project intends to provide an humble place to experiment, and debate, about what can be an open, distributed, adaptive and collaborative, semantic virtual library. Inspirations are: As we May Think, Library of Babel, and Weaving the web
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OpenAI Quickstart Node
Node.js example app from the OpenAI API quickstart tutorial
OpenAI Quickstart Node.js is an example application designed to help developers learn how to use the OpenAI API with Node.js. The repository provides structured sample code for a variety of API endpoints, including chat completions, assistants, embeddings, fine-tuning, moderation, batch processing, and image generation. Each folder contains runnable scripts that demonstrate both basic usage and more advanced scenarios. By following the examples, developers can quickly understand how to authenticate with an API key, send requests, and handle responses within a Node.js environment. The project is a practical starting point for building AI-powered applications, serving as a foundation for experimentation and integration into larger projects. It simplifies onboarding by offering step-by-step setup instructions and ready-to-use code snippets that can be adapted for custom needs.
