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Ditto: The Simplest Self-Building Coding Agent for Flask Apps
Ditto is a user-friendly Python tool that generates multi-file Flask applications from simple natural language descriptions. It leverages a straightforward LLM loop to automate the coding process, enabling users to transform ideas into functional web applications through a no-code interface. This agent simplifies development by automatically planning and constructing applications based on plain English input.
OLMoE.swift: Private, Offline AI Experience on iOS and macOS
OLMoE.swift provides a unique, privacy-focused AI experience by running large language models directly on your device. This Swift-based application ensures your queries and data remain private, operating entirely offline without an internet connection. It offers a robust solution for local AI inference on iOS and macOS, with integration options for Hugging Face.
Harmony: OpenAI's Renderer for GPT-OSS Response Format
Harmony is OpenAI's dedicated renderer for its `harmony` response format, specifically designed for use with `gpt-oss` open-weight models. This library provides a robust solution for defining conversation structures, generating reasoning output, and structuring function calls, ensuring consistent and efficient token-sequence handling for both rendering and parsing. It offers first-class support for both Python and Rust development.
claude-code-proxy: Use Anthropic Clients with OpenAI and Gemini Models
`claude-code-proxy` is a powerful proxy server that allows developers to use Anthropic clients, such as Claude Code, with various backend models including OpenAI, Gemini, or even Anthropic's own models. It provides seamless translation of API requests and responses, offering flexibility and control over your AI model choices. This tool is ideal for integrating different LLM providers without modifying existing Anthropic client code.
Rig: Build Modular and Scalable LLM Applications in Rust
Rig is a powerful Rust library designed for building modular, scalable, and ergonomic LLM-powered applications. It offers extensive features, including agentic workflows, compatibility with over 20 model providers, and seamless integration with more than 10 vector stores. Developers can leverage Rig to create robust generative AI solutions with minimal boilerplate.
Llama Coder: Open Source Claude Artifacts with Llama 3.1 405B
Llama Coder is an innovative open-source project that allows users to generate small applications from a single prompt. Built with Meta's powerful Llama 3.1 405B model and leveraging Together AI for inference, it provides a robust platform for rapid app development. This project offers a glimpse into the future of AI-assisted coding, making complex app creation accessible and efficient.
sitefetch: Efficiently Scrape Websites for AI Model Training and Analysis
sitefetch is a powerful command-line utility designed to fetch and save entire websites as plain text files. This tool is particularly useful for preparing large datasets for AI model training, allowing easy consumption of web content. It offers flexible options for page matching and content selection, ensuring relevant data extraction.
AI Samples for .NET: Integrating AI into Your .NET Applications
The AI Samples for .NET repository provides a comprehensive collection of samples demonstrating how to integrate artificial intelligence into .NET applications. It features examples using Microsoft.Extensions.AI for unified API access to AI services and Microsoft.Extensions.AI.Evaluation for assessing LLM response quality. This resource is ideal for .NET developers looking to leverage AI, including large language models, in their projects.
shopping-assistant: An AI-Powered Webshop Demo Exploring LLM Interactions
The `shopping-assistant` project is a Java-based webshop demo, 'Bizarre Bazaar', featuring an AI-powered shopping assistant. It explores various LLM interaction modes, from helpful guidance with state management and security guardrails to demonstrating prompt injection attacks and an unethical assistant. This educational application provides practical examples of integrating AI into e-commerce, highlighting both its potential and crucial security considerations.
quarkus-langchain4j-workshop: Build AI-Infused Apps with Quarkus and LangChain4j
Explore the `quarkus-langchain4j-workshop` to learn how to develop AI-infused applications using Quarkus and LangChain4j. This workshop provides a structured approach, guiding you through various steps to build powerful AI solutions. It's an excellent resource for developers looking to integrate large language models into their Quarkus projects.
Repomix: Efficiently Prepare Your Codebase for Large Language Models
Repomix is an innovative tool designed to package your entire codebase into a single, AI-friendly file. This makes it incredibly easy to feed your projects to various Large Language Models (LLMs) and other AI tools, streamlining code analysis and interaction. It supports a wide range of AI platforms, enhancing developer workflows.