Search Results for "ai applications"
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Showing 85 open source projects for "ai applications"
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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1
Spring AI
An Application Framework for AI Engineering
Spring AI is a framework within the Spring ecosystem that simplifies the integration of artificial intelligence capabilities into Java applications by providing abstractions over various AI services and models. It is designed to align with familiar Spring development patterns, allowing developers to incorporate AI features such as chat, embeddings, and prompt handling using consistent APIs. -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
...Trellis also includes tooling for monitoring, scheduling, and tracing the execution of complex multi-step jobs, helping teams maintain visibility into how work progresses and where bottlenecks emerge. The platform can integrate with external services, databases, and model endpoints, making it suitable for automation, ETL pipelines, AI-driven processes, and business logic orchestration. -
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Matter AI
Matter AI is open-source AI Code Reviewer Agent
Matter AI is an AI-powered platform designed to enhance productivity through automated content generation, data analysis, and decision support. It leverages machine learning models to process text, analyze patterns, and generate insights, making it suitable for businesses looking to optimize data-driven decision-making. Matter AI integrates with various data sources and provides customizable AI workflows tailored to different industries. -
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Lobe UI
An open-source UI component library for building AIGC web apps
...It is optimized for modern frameworks such as Next.js and supports server-side rendering with proper configuration, making it suitable for production-grade applications. Lobe UI is part of a broader ecosystem that includes tools for charts, icons, and AI-related utilities, enabling developers to build complete AI products with consistent design. -
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5
GPT All Star
AI-powered code generation tool for scratch development of web apps
AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents. This is a research project, and its primary value is to explore the possibility of autonomous AI agents. -
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LLPhant
A comprehensive PHP Generative AI Framework
LLPhant is a PHP-based generative AI framework designed to bring large language model capabilities into modern PHP applications with a structure inspired by frameworks like LangChain. It provides developers with a set of abstractions for building AI-powered features such as chat systems, retrieval pipelines, and automated workflows while remaining simple enough to integrate into existing Symfony or Laravel projects. -
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LangChain.dart
Build LLM-powered Dart/Flutter applications
LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing developers to build both local and cloud-based AI workflows. ... -
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Cursor Cookbook
This repo contains small examples for building with Cursor
Cursor Cookbook is a curated collection of examples, patterns, and best practices for building applications with Cursor and AI-assisted coding tools. It provides practical recipes that demonstrate how to integrate AI into development workflows effectively. The repository focuses on real-world use cases such as automation, code generation, and system design. It helps developers understand how to structure prompts and workflows for consistent results. -
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. ... -
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10
RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
...The repository reflects a research-forward approach that blends practical utilities with experimental agentic concepts, encouraging exploration of emerging AI design patterns. It is intended for developers building sophisticated AI-powered applications who need flexible vector handling and integration capabilities. -
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Google Kubernetes Engine (GKE) Samples
Sample applications for Google Kubernetes Engine (GKE)
...The repository is organized into multiple categories such as AI and machine learning, autoscaling, networking, observability, security, and cost optimization, allowing developers to explore specific use cases and architectural patterns. It includes both simple quickstart examples, like basic “hello world” applications, and more advanced scenarios such as migrating monolithic applications to microservices, implementing service meshes, and configuring custom autoscaling metrics. -
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SyncLite
Build Anything Sync Anywhere
...SyncLite's novel CDC replication framework for embedded databases, is designed to assist developers in rapidly building general-purpose data-intensive applications, Gen AI Search/RAG applications for edge, desktop, and mobile environments. It seamlessly integrates with embedded databases like SQLite, DuckDB, Apache Derby, H2, and HyperSQL(HSQLDB). -
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cult/ui
Components crafted for Design Engineers. Styled using Tailwind CSS
cult/ui is an open-source collection of accessible and customizable user interface components designed to help developers quickly build modern web applications. It focuses on providing copy-and-paste components that integrate seamlessly into existing projects, reducing the need for complex setup or heavy dependencies. The library is built using modern frontend technologies such as Tailwind CSS and is fully compatible with ecosystems like shadcn, making it highly adaptable. It also includes a large catalog of prebuilt AI agent patterns and templates, allowing developers to rapidly prototype and deploy AI-powered features such as data analysis tools, chat interfaces, and automation systems. ... -
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APIPark
APIPark is the #1 open-source AI Gateway and Developer Portal
APIPark is an open-source, all-in-one AI gateway and API developer portal, that helps developers and enterprises easily manage, integrate, and deploy AI services. No matter which AI model you use, APIPark provides a one-stop integration solution. It unifies the management of all authentication information and tracks the costs of API calls. Standardize the request data format for all AI models. When switching AI models or modifying prompts, it won’t affect your app or microservices,... -
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nuwa-skill
Mental models, decision heuristics, expressing DNA
...Nuwa Skill also supports orchestration, enabling multiple skills to work together to accomplish more complex objectives. The architecture is typically designed for flexibility, making it suitable for applications in conversational AI, automation, or intelligent assistants. Overall, it serves as a foundation for building scalable and extensible AI-driven systems. -
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Synkra AIOS
AI-Orchestrated System for Full Stack Development
...The framework includes features for project setup, environment configuration, deployment scaffolding, and intelligent code generation, potentially reducing time spent on boilerplate and repetitive engineering tasks. Synkra AIOS positions itself as a productivity middleware that integrates AI reasoning within traditional devops, front-end, and back-end workflows, allowing teams to produce production-ready applications faster. -
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Kodus
AI code reviews, just like your senior dev would do
Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. -
18
txtai
Build AI-powered semantic search applications
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). -
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PromptingTools.jl
Streamline your life using PromptingTools.jl
...It focuses on reducing the complexity of prompt creation by introducing templating systems, macros, and reusable functions that standardize how prompts are constructed and executed. The library provides a family of ai* functions that handle tasks such as generation, embeddings, classification, and data extraction, all following a consistent structure. It supports multiple backends, including OpenAI-compatible APIs and local models such as those served through Ollama, allowing users to switch providers without rewriting prompts. The toolkit also includes advanced capabilities such as asynchronous execution, routing, OCR, and experimental agent workflows, making it suitable for both simple and complex AI applications. -
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Motia
Multi-Language Backend Framework that unifies APIs
...Motia is built with extensibility in mind, allowing engineers to define complex workflows and AI-driven processes without sacrificing consistency or scalability. Its modular architecture supports integration with existing systems, plug-in architectures, and dynamic environments, making it suitable for building microservices, enterprise applications, or large automated systems. -
21
AG-UI
The Agent-User Interaction Protocol
AG-UI is an open, lightweight protocol for connecting AI agents to user-facing applications through a standardized event-based interface. It is designed to make agent behavior visible, interactive, and controllable inside real-time front-end experiences. Instead of treating an AI agent as a black-box chat endpoint, AG-UI defines structured events for messages, tool calls, state changes, lifecycle updates, and user interactions. -
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ILLA Builder
Low-code platform allows you to build business apps
ILLA is a robust open source low-code platform for developers to build internal tools. By using ILLA's library of Components and Actions, developers can save massive amounts of time on building tools. Build tools through drag-and-drop components, customize your AI Agent, connect to your data sources, and make AI a smart tool tailored to your needs and data, making your work more intelligent. By dragging and dropping components, you can quickly build the UI of the apps and implement any... -
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LLM Tornado
The .NET library to build AI agents with 30+ built-in connectors
...It supports multimodal inputs and outputs, including text, images, audio, and documents, making it suitable for a wide range of AI applications. LLMTornado also integrates advanced protocols such as Model Context Protocol and agent-to-agent communication, enabling complex interactions between systems. With built-in support for local deployments, enterprise guardrails, and observability features. -
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Writer Framework
No-code in the front, Python in the back. An open-source framework
Writer Framework is an open source platform designed to help developers build AI-powered applications by combining a visual interface builder with a Python-based backend architecture. It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. -
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assistant-ui
Typescript/React Library for AI Chat
...It is designed to integrate with a wide range of AI backends and providers, making it highly flexible for different architectures. The system also supports advanced features like tool rendering, attachments, and interactive UI elements, enabling rich user experiences. With strong TypeScript support and developer-friendly defaults, it accelerates the process of building and deploying AI-powered applications.
