Search Results for "integrate" - Page 6
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Showing 198 open source projects for "integrate"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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React Wrap Balancer
Simple React Component That Makes Titles More Readable
...The component dynamically adjusts how text is split across lines based on the available space, resulting in more aesthetically pleasing layouts. It uses modern browser APIs like ResizeObserver to respond to changes in viewport size and re-balance text accordingly. The library is lightweight and easy to integrate, requiring only a wrapper component around existing text elements. It also includes configuration options that allow developers to control the degree of balancing and fallback behavior. Overall, react-wrap-balancer enhances typography and layout quality in responsive web applications. -
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Radix Themes
Radix Themes is an open-source component library
...It includes a centralized Theme component that allows developers to control visual aspects such as color palettes, scaling, radius, and appearance across an entire application. The library is designed to integrate seamlessly with React applications and modern tooling, offering a consistent API and predictable behavior across all components. It emphasizes accessibility and usability by incorporating best practices into its default implementations, ensuring that components behave correctly across different devices and input methods. -
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Mobile Next
Model Context Protocol Server for Mobile Automation and Scraping
...One of its key innovations is its hybrid interaction model, which combines structured accessibility data with fallback screenshot-based analysis to ensure reliable automation even in complex UI scenarios. It is built to integrate seamlessly with modern AI agents, enabling multi-step workflows such as automated testing, form filling, and user journey simulation. -
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Jaaz
Open source multimodal creative AI assistant with infinite canvas tool
...It combines AI agents with visual editing tools, allowing users to generate media through prompts, sketches, or simple instructions. Jaaz supports multiple AI models and can integrate both local and cloud-based inference systems, enabling flexible creative workflows. Jaaz emphasizes privacy and local-first operation, allowing creators to run AI models locally so that their data does not leave their device. It also includes collaborative planning tools such as visual layouts and storyboard organization to support complex creative projects. ... -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Sanity
Rapidly configure content workspaces powered by structured content
...Because the system separates content management from presentation, developers can use any front-end framework to display the data. Sanity also includes APIs and query tools that allow developers to retrieve content dynamically and integrate it into websites, mobile apps, and other digital services. -
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Responsible AI Toolbox
Responsible AI Toolbox is a suite of tools providing model
...The project provides tools that assist in analyzing model behavior, detecting bias, improving robustness, and explaining predictions produced by AI systems. It is designed to integrate with common machine learning frameworks, especially PyTorch, allowing developers to apply responsible AI techniques within existing workflows. The toolbox includes methods for adversarial testing, interpretability analysis, and model diagnostics that help developers understand how models behave under different conditions. These capabilities are particularly important for high-impact domains where AI systems must meet strict reliability and fairness requirements. ... -
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Memori
SQL-native memory layer enabling persistent context for AI agents
...By recalling relevant context during future model calls, Memori helps AI agents produce more consistent and context-aware responses while reducing the need to repeatedly provide background information. Memori is designed to work with multiple LLM providers, data stores, and AI frameworks, allowing it to integrate into existing software architectures without requiring major changes. -
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opensrc
Fetch source code for npm packages
...This gives AI coding assistants richer context about functions, internal logic, and architectural patterns used within external packages. The tool is designed to integrate into AI-driven developer workflows where coding agents explore repositories, inspect dependencies, and reason about how to use libraries correctly. -
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Bedrock Chat
AWS-native chatbot using Bedrock
...The project typically focuses on delivering a user interface that allows individuals or teams to communicate with AI models, manage conversations, and experiment with prompts and responses. Implementations like Bedrock Chat often integrate with model hosting platforms or APIs that provide access to generative AI systems. The mirror hosted on SourceForge exists primarily to ensure long-term accessibility of the source code and provide alternative download options for developers. Chat platforms of this type frequently include tools for maintaining conversation history, managing prompts, and connecting to multiple model providers. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Generative AI Use Cases (GenU)
Application implementation with business use cases
...The project collects a wide range of real-world scenarios that demonstrate how organizations can use large language models and generative AI services within cloud-based architectures. Each example typically includes infrastructure templates, backend services, and application code that show how to integrate generative AI capabilities with other AWS services. These examples cover tasks such as document analysis, conversational assistants, content generation, and knowledge retrieval systems. The repository is intended to serve as both a learning resource and a starting point for developers who want to deploy generative AI solutions using AWS infrastructure. -
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node-llama-cpp
Run AI models locally on your machine with node.js bindings for llama
...The library enables applications built with Node.js to interact directly with local LLM models without requiring a remote API or external service. By using native bindings and optimized model execution, the framework allows developers to integrate advanced language model capabilities into desktop applications, server software, and command-line tools. The system automatically detects the available hardware on a machine and selects the most appropriate compute backend, including CPU or GPU acceleration. Developers can use the library to perform tasks such as text generation, conversational chat, embedding generation, and structured output generation. ... -
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Fulling
Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui
...The environment also includes web-based terminals, file management tools, and version control capabilities to support collaborative software development workflows. Developers can connect external services by simply providing API credentials, allowing the AI system to automatically integrate features such as authentication or payment processing. -
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ralph-loop-agent
Continuous Autonomy for the AI SDK
...It includes loop control primitives like stop conditions and context management, allowing developers to build sophisticated agent workflows that can persist state, evaluate when to pause, and manage decision boundaries programmatically. Ralph-Loop-Agent is written in TypeScript and designed to integrate smoothly with the broader Vercel AI SDK ecosystem, including examples that tie into web interfaces, Playwright automation, PostgreSQL, and GitHub PR workflows. -
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OCRBase
MD/.JSON Document OCR and structured data extraction API
...The core output is designed for downstream automation, producing structured results like JSON according to user-defined schemas while also providing readable formats like Markdown for human review or indexing. It includes real-time job progress updates via WebSockets, which makes it easier to integrate into UIs, dashboards, or ingestion systems where users need feedback on long-running document processing. -
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VibeKit
Run Claude Code, Gemini, Codex in a clean, isolated sandbox
Vibekit is an open-source toolkit focused on rapid prototyping and building of AI-driven experiences, particularly those that integrate multimodal inputs, reactive interfaces, and context-aware behaviors. It provides a set of abstractions and utilities that let developers connect generative models to UI frameworks, sensors, event streams, and external services without having to build plumbing from scratch. Instead of treating AI models as black boxes behind simple prompts, Vibekit encourages developers to define declarative behaviors, reactive rules, and data flows that make the outputs of models part of living application logic. ... -
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Nano Events
Simple and tiny (107 bytes) event emitter library for JavaScript
...Rather than offering many complex features, nanoevents focuses on the core primitives: creating an emitter, subscribing to named events, emitting events with arbitrary data, and unsubscribing. Because of its minimal API surface and implementation, it’s very easy to integrate into frontend or backend JS/TypeScript projects without introducing significant dependencies or weight. The simplicity reduces cognitive load: developers don’t need to read long docs or worry about advanced event semantics. -
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Eko
Build Production-ready Agentic Workflow with Natural Language
...It allows developers to create automated agents that can handle complex workflows in both computer and browser environments. With a focus on high development efficiency, Eko simplifies the creation of multi-step workflows, enabling users to integrate and automate tasks across platforms. It provides a unified interface for managing agents, offering features such as web resource access and high task complexity handling. Eko is open-source and can be used to execute tasks like browser automation, system operations, and software testing. -
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Inferable
Inferable is a developer-first AI automation platform
Create your first AI automation in 60 seconds. Inferable seamlessly integrates with your existing codebase and infrastructure, allowing you to create powerful AI automation without compromising on control or security. Works with your existing codebase. Integrates with your existing services via opt-in. Enforce determinism through source code. Create and manage automation programmatically. You own the computer, in your own infrastructure. Inferable comes out of the box with delightful DX to... -
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Botonic
Build chatbots and conversational experiences using React
...With Botonic you can focus on creating the best conversational experience for your users instead of dealing with different messaging APIs, AI/NLP complexity or managing and scaling infrastructure. It also comes with a battery of plugins so you can easily integrate popular services into your project. -
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Spring AI Alibaba Examples
Spring AI Alibaba examples for building and testing AI apps
...Each module focuses on a specific use case such as chat, image processing, audio handling, graph workflows, and retrieval-augmented generation. The examples highlight how to integrate AI models, manage prompts, handle memory, and build multi-model or multi-agent workflows. Developers can explore individual project folders for detailed instructions and implementation guidance. Spring AI Alibaba Examples also supports experimentation through playground modules and encourages contributions to expand real-world AI use cases and improve development practices. -
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Flexpilot IDE
Open-Source AI Native IDE
...Flexpilot aims to provide a transparent and customizable AI coding environment where developers can experiment with AI-powered tools such as code generation, completion, and explanation features. Because it is open source, developers can modify the IDE, extend its capabilities, or integrate new AI models according to their workflow needs. The project emphasizes transparency, community collaboration, and developer control over how AI tools are integrated into the software development process. -
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Farfalle
AI search engine - self-host with local or cloud LLMs
...The project integrates large language models with multiple search APIs so that the system can gather information from external sources and synthesize responses into concise answers. It can run either with local language models or with cloud-based providers, allowing developers to deploy it privately or integrate with hosted AI services. The architecture separates the frontend and backend, using modern web technologies such as Next.js and FastAPI to deliver an interactive interface and scalable server logic. Farfalle also includes an agent-based search workflow that plans queries and executes multiple search steps to produce more accurate results than traditional keyword searches. ... -
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Starter Applets
Google AI Studio Starter Apps
...Each applet includes configuration parameters (API keys, model selection, prompt parameters) in a secure but flexible format. Because applets are meant to be composable, they adopt a modular plugin architecture so you can integrate one into a Next.js, Flutter, or native app with minimal glue. -
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Amazon Chime SDK for JavaScript
A JavaScript client library for integrating multi-party communications
The Amazon Chime SDK is a set of real-time communications components that developers can use to quickly add messaging, audio, video, and screen sharing capabilities to their web or mobile applications. Developers can build on AWS's global communications infrastructure to deliver engaging experiences in their applications. For example, they can add video to a health application so patients can consult remotely with doctors on health issues, or create customized audio prompts for integration... -
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MIDWAY
Serverless Framework for front-end/full-stack developers
A Node.js serverless framework for front-end/full-stack developers. Build the application for next decade. Works on AWS, Alibaba Cloud, Tencent Cloud, and traditional VM/Container. Super easy integrate with React and Vue. There are many similar frameworks in the community, so why do you need Midway? Midway is a framework that Alibaba has been developing continuously. Before egg was used as the underlying framework, an application-oriented framework was required to connect with the group's scenarios. The full use of TypeScript is the trend for a period of time in the future, and iterating and developing for the future is a requirement for the innovation of the architecture team. ...
