Agentic App Template is a fully configured Next.js project that serves as a foundation for developing AI-driven agentic applications. It incorporates a modular folder structure, environment variable management, and example agent workflows leveraging OpenAI’s GPT models and vector databases like Pinecone. The template demonstrates key patterns such as sequential multi-step chains, conversational Q&A agents, and text generation endpoints. Developers can easily customize chain logic, integrate additional services, and deploy to platforms like Vercel or Netlify. With TypeScript support and built-in error handling, the scaffold reduces initial setup time and provides clear documentation for further extension.

Clevis simplifies AI application development by allowing users to build, share, and sell AI-powered apps without needing any coding knowledge. The platform offers a wide range of pre-built processing steps and templates, making it easy to create complex applications with minimal effort. Clevis focuses on democratizing AI technology, enabling anyone from hobbyists to businesses to leverage the power of AI in their applications. Users can quickly integrate features like image generation, web scraping, and data extraction into their apps, facilitating rapid development and deployment.

Dumpling AI is designed to make your AI as effective as the data that feeds it. It scrapes, extracts, and cleans data from almost any source, integrating seamlessly with platforms like Make.com for quick setup. This tool ensures you get cleaned and structured data, ready for immediate use in AI systems, so you can bypass the messiness of manual data handling and focus on building robust AI applications.

Felvin is an innovative no-code platform designed to empower users to create, discover, and monetize AI-enabled applications without needing any programming skills. With its user-friendly interface, pre-built templates, and a supportive community, Felvin makes the process seamless for individuals and businesses. It is perfect for those who wish to leverage the latest in AI technology to build unique applications, from image generation to text processing, all simplified into a few clicks.

LangChain is a developer-focused framework designed to streamline the creation of intelligent AI agents and applications. It provides abstractions for chains of LLM calls, agentic behavior with tool integrations, memory management for context persistence, and customizable prompt templates. With built-in support for document loaders, vector stores, and various model providers, LangChain allows you to construct retrieval-augmented generation pipelines, autonomous agents, and conversational assistants that can interact with APIs, databases, and external systems in a unified workflow.

Serving as a robust Go implementation of the popular LlamaIndex framework, Llama-Index-Go offers end-to-end capabilities for constructing and querying vector-based indexes from textual data. Users can load documents via built-in or custom loaders, generate embeddings using OpenAI or other providers, and store vectors in memory or external vector databases. The library exposes a QueryEngine API that supports keyword and semantic search, boolean filters, and retrieval-augmented generation with LLMs. Developers can extend parsers for markdown, JSON, or HTML, and plug in alternative embedding models. Designed with modular components and clear interfaces, it provides high performance, easy debugging, and flexible integration in microservices, CLI tools, or web applications, enabling rapid prototyping of AI-powered search and chat solutions.

NVIDIA Cosmos is an AI development platform that provides developers with a set of advanced tools for data management, model training, and deployment. It supports various machine learning frameworks, allowing users to efficiently preprocess data, train models using powerful GPUs, and integrate these models into real-world applications. The platform is designed to streamline the AI development lifecycle, making it easier to build, test, and deploy AI models.

OpenKoda is an AI-powered, open-source platform aimed at accelerating the application development process. It provides a plethora of pre-built application templates and customizable solutions to meet specific business needs. By leveraging modern technologies and open-source principles, OpenKoda aims to reduce the time and effort required for application development while maintaining high-quality standards.

Unbody is a comprehensive AI-native content API designed to streamline the process of building AI-powered applications. It automates the entire backend development process—from data collection to AI model integration and data deployment—anywhere using a single, easy-to-use API. Whether you're working with Google Drive documents, Slack files, or local PDFs, Unbody's flexibility ensures compatibility across various data sources. It allows you to choose from multiple AI models, including OpenAI GPTs, Google Gemini, or open-source alternatives, and simplifies the creation of AI applications like chatbots and search tools.

AIBrokers provides a unified interface for managing and executing workflows that involve multiple AI agents and models. It allows developers to define brokers that oversee task distribution, selecting the most suitable model—such as GPT-4 for language tasks or a vision model for image analysis—based on customizable routing rules. ConversationManager supports context awareness by storing and retrieving past dialogues, while the MemoryStore module offers persistent state handling across sessions. PluginManager enables seamless integration of external APIs or custom functions, extending the broker’s capabilities. With built-in logging, monitoring hooks, and customizable error handling, AIBrokers simplifies the development and deployment of complex AI-driven applications in production environments.