Search Results for "create" - Page 61
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Showing 9389 open source projects for "create"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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App Store Screenshots Generator
End to end app store screenshot creation using AI
...It supports multiple device resolutions and exports assets in all required Apple formats, significantly reducing the manual effort typically involved in App Store submission preparation. The system also includes localization capabilities, enabling developers to create region-specific screenshot sets with translated copy and layout adjustments. -
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Claw Hunter
MDM-ready scripts for detecting and monitoring OpenClaw
...The tool performs risk assessment by auditing agent permissions, capabilities, and access levels, allowing security teams to evaluate potential attack surfaces. It also helps ensure that these agents do not unintentionally expose sensitive data or create unauthorized access paths across systems. -
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ALLWEONE
AI tool that generates custom presentations with real-time editing
Presentation AI by ALLWEONE is an open source tool that uses artificial intelligence to generate complete slide decks from a simple prompt. It helps users create professional presentations quickly, with support for customizable themes, layouts, and styles. You can define slide count, language, and tone, then review or edit the AI-generated outline before finalising. Slides are built in real time, allowing you to watch content develop as the system works. Presentation AI by ALLWEONE includes image generation, rich text editing, and drag-and-drop functionality for easy adjustments. ... -
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BeeAI Framework
Build production-ready AI agents in both Python and Typescript
BeeAI Framework is an open-source, production-grade toolkit designed for building intelligent AI agents and complex multi-agent systems that can reason, act, and collaborate to solve real-world problems at scale. It goes beyond simple prompt-based interactions by introducing rule-based governance and constraint enforcement, enabling developers to create agents with predictable and controllable behavior while still preserving advanced reasoning capabilities. The framework supports both Python and TypeScript with full feature parity, making it accessible to a wide range of developers and teams. It includes a unified backend layer that connects seamlessly to multiple large language model providers, allowing flexible deployment across different AI infrastructures without vendor lock-in. ... -
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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openv0
AI tool for generating modular UI components with live previews
openv0 is a generative UI component framework designed to help developers create interface elements using AI-assisted workflows. It enables users to generate, iterate, and refine UI components with a live preview system, making it easier to visualize results during development. openv0 is built around a modular architecture, allowing different parts of the generation process to be extended or replaced through plugins. -
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Preswald
Python tool for browser-based interactive data apps in one file
...Preswald leverages a WebAssembly runtime along with technologies like Pyodide and DuckDB to execute Python code directly in the browser environment. This approach allows developers to create dashboards, reports, notebooks, and data tools that are portable, fast, and capable of running offline. Preswald emphasizes a code-first workflow where users define applications entirely in Python while using built-in UI components such as tables, charts, and forms. It also includes a reactive execution model that only recomputes necessary parts of the app, improving performance and responsiveness. -
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Rivet
Visual AI IDE for building agents with prompt chains and graphs
...Rivet also includes a TypeScript library that enables these visual graphs to be executed and integrated directly into applications, bridging the gap between prototyping and production use. Rivet supports multiple large language model providers and integrates with services such as embeddings and transcription systems, allowing developers to create richer AI-powered features. Its architecture emphasizes composability, where different components like prompts, APIs, and data processing steps can be combined into reusable pipelines. -
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GC Build official builder images
Builder images and examples commonly used for Google Cloud Build
...It supports the concept of containerized build steps, where each stage of the pipeline runs in an isolated environment, improving reproducibility and consistency across builds. Developers can also create custom builders tailored to their specific workflows, integrating them seamlessly into Cloud Build configurations. This approach simplifies complex automation processes by breaking them into reusable components that can be chained together declaratively. -
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Agent Starter Pack
Ship AI Agents to Google Cloud in minutes, not months
...It is designed to eliminate the complexity of moving from prototype to production by bundling essential components such as deployment pipelines, monitoring, security, and evaluation tools into a single package. Developers can create fully functional agent projects with a single command, generating both backend and frontend structures along with deployment-ready configurations. The framework supports multiple agent architectures, including ReAct, retrieval-augmented generation, and multi-agent systems, allowing flexibility across use cases. It integrates tightly with Google Cloud services like Vertex AI, Cloud Run, and Terraform-based infrastructure provisioning, enabling scalable and reliable deployments. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Conversational Health Agents (CHA)
A Personalized LLM-powered Agent Frameworks
CHA, or Conversational Health Agents, is an open-source framework designed to build intelligent healthcare assistants powered by large language models and external data sources. The system enables developers to create personalized AI agents that can interact with users through natural language while performing multi-step reasoning and task execution. It integrates orchestration capabilities that allow the agent to gather information from APIs, knowledge bases, and external services in order to generate more accurate and context-aware responses. ... -
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Kuma UI
A Headless, Utility-First, and Zero-Runtime UI Component Library
Kuma UI is an open-source styling and component library that focuses on providing a headless, utility-first approach to building modern web interfaces. The framework emphasizes performance by extracting CSS at build time, allowing developers to create fast websites without requiring runtime styling engines in the browser. By combining utility-first styling with headless component patterns, Kuma UI allows developers to fully customize visual appearance while relying on reusable component logic. The library is designed to work particularly well with modern React and Next.js development workflows and supports advanced features such as React Server Components. ... -
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Bagisto Next.js Commerce
Open source headless commerce that’s fast, flexible
Next.js Commerce by Bagisto is an open-source headless eCommerce framework designed to build fast, modern storefronts using the Next.js ecosystem. The project combines the Bagisto commerce backend with a frontend built using Next.js, enabling developers to create scalable and flexible commerce experiences with a fully decoupled architecture. The framework emphasizes performance by leveraging optimized rendering strategies and layered caching, which helps storefronts achieve strong Core Web Vitals scores and deliver fast loading experiences for customers. By separating backend commerce logic from the frontend presentation layer, developers can customize the shopping interface while maintaining robust product, order, and customer management through the Bagisto platform. ... -
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ChatGPT Shortcut
Curated AI prompt manager with search, sharing, and browser access
...ChatGPT-Shortcut includes tagging and filtering features that help users locate relevant prompts efficiently without manually browsing long lists. In addition to built-in prompts, users can create, edit, and organize their own prompts for personal use. It also supports community participation where users can share prompts and vote on contributions, allowing useful prompts to surface through community feedback. Browser extension support further improves accessibility by enabling a sidebar interface. -
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LiveKit Agents
Framework for building realtime multimodal voice AI agents apps
LiveKit Agents is an open source framework designed for building realtime AI agents that can participate as programmable entities within communication sessions. It enables developers to create conversational and multimodal agents capable of processing voice, audio, and other inputs in realtime environments. These agents can join LiveKit rooms as participants and interact with users or systems through speech, text, and other modalities. LiveKit Agents provides libraries and tooling that allow developers to combine speech-to-text, large language models, and text-to-speech services to build interactive AI experiences. ... -
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Open SaaS
Open source SaaS boilerplate for React, NodeJS apps with Wasp stack
...It also includes an admin dashboard, testing setup, and deployment configuration to streamline development workflows. By bundling these components together, Open SaaS aims to reduce development time and make it easier to create scalable web applications. -
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Gitingest
Create prompt-friendly codebase digests from any Git repository URL
Gitingest is a developer utility that converts an entire Git repository into a structured, prompt-friendly text digest suitable for use with large language models. It analyzes a repository and produces a consolidated textual representation that includes the file structure and code content in an organized format. This makes it easier to provide meaningful code context when working with AI systems that require compact, readable inputs. Developers can generate these digests from either a local... -
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Learn PyTorch for Deep Learning
Materials for the Learn PyTorch for Deep Learning
...The materials include Jupyter notebooks, explanations of core deep learning concepts, and step-by-step demonstrations of building and training neural networks. Throughout the lessons, users learn how to work with tensors, create neural network architectures, manage training workflows, and evaluate model performance. -
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SearChat
Search + Chat = SearChat(AI Chat with Search)
SearChat is an open-source conversational search platform that combines traditional web search engines with large language model reasoning to create an interactive research environment. The project is designed to transform the process of web searching into a multi-turn conversational experience where users can refine queries and explore results through dialogue. Built using a modern monorepo architecture, the system includes a Node.js and Koa backend alongside a Vue 3 and TypeScript frontend that delivers a responsive chat interface. ... -
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Generative AI for beginners with JS
Join a time-traveling adventure where you meet history’s legends
Generative AI with JavaScript is an educational repository created by Microsoft that teaches developers how to build applications powered by large language models using the JavaScript ecosystem. The project is structured as a multi-lesson curriculum that introduces the concepts, tools, and practical techniques required to create generative AI applications. Each lesson includes written explanations, hands-on exercises, quizzes, and supporting videos to help developers learn the material progressively. Topics covered include prompt engineering, building AI-powered applications, working with structured outputs, integrating retrieval-augmented generation, and enabling tool or function calling in AI systems. ... -
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SmythOS
Cloud-native runtime for agentic AI
...It provides a foundational infrastructure layer that functions similarly to an operating system for agentic AI systems, managing resources such as language models, storage, vector databases, and caching through a unified interface. Developers can use the runtime to create, deploy, and orchestrate intelligent agents across local machines, cloud environments, or hybrid infrastructures without rewriting their application logic. The platform includes a software development kit and command-line interface that allow developers to define agent workflows, manage execution environments, and automate deployment processes. ... -
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AgentEvolver
Towards Efficient Self-Evolving Agent System
...Its architecture combines reinforcement learning with LLM-driven reasoning mechanisms to guide exploration and learning. The framework introduces several key mechanisms, including self-questioning to create new learning tasks, self-navigating to improve exploration through experience reuse, and self-attributing to assign rewards based on the usefulness of actions. These mechanisms enable agents to continuously improve their capabilities while interacting with complex environments and tools. AgentEvolver also integrates environment sandboxes, experience management systems, and modular data pipelines to support large-scale experimentation. -
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Rocketnotes
AI-powered markdown editor - leverage LLMs with your documents
RocketNotes is an open-source note-taking application designed to combine traditional knowledge management with artificial intelligence features that enhance how users capture and organize information. The project focuses on providing a fast, lightweight environment where users can create structured notes, manage personal knowledge bases, and interact with AI tools to summarize or expand their content. Instead of functioning purely as a document editor, RocketNotes integrates AI capabilities that assist with tasks such as generating insights, organizing ideas, and improving written content. The system is designed with productivity workflows in mind, allowing users to build interconnected notes and maintain organized collections of information. ... -
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Agent Development Kit (ADK) for Java
An open-source, code-first Java toolkit
...The framework follows a code-first approach that treats agent development as a structured software engineering task rather than a collection of prompt scripts. It provides abstractions and tools that allow developers to create agents capable of executing complex workflows, calling tools, and interacting with external services. ADK is designed to be flexible and modular so that developers can build simple automation agents or large distributed agent systems depending on their needs. While it integrates well with Google’s AI ecosystem, the framework is designed to remain model-agnostic and compatible with different machine learning platforms. -
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ControlFlow
Take control of your AI agents
...ControlFlow focuses on maintaining transparency and control in AI applications by providing explicit workflow structures instead of opaque chains of prompts. The system integrates with common LLM providers and allows developers to create workflows that blend traditional software logic with AI-driven reasoning. Built on top of the Prefect ecosystem, the framework also includes observability and debugging capabilities that allow developers to monitor how tasks are executed. -
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uzu
A high-performance inference engine for AI models
...By utilizing Apple’s unified memory architecture, uzu reduces memory copying overhead and improves inference throughput for local AI workloads. The system includes a simple high-level API that enables developers to run models, create inference sessions, and generate outputs with minimal configuration.
