OpenAI-Forward is an efficient forwarding service implemented for large language models. Its core features include user request rate control, token rate limiting, intelligent prediction caching, log management, and API key management, aiming to provide efficient and convenient model forwarding services. Whether proxying local language models or cloud-based language models like LocalAI or OpenAI, OpenAI-Forward makes it easy. Thanks to support from libraries like uvicorn, aiohttp, and asyncio, OpenAI-Forward achieves excellent asynchronous performance.

AIO Sandbox is an all-in-one agent sandbox environment that combines Browser, Shell, File, MCP operations, and VSCode Server in a single Docker container. It provides a unified, secure execution environment for AI agents and developers, with features like unified file system, multiple interfaces, secure execution, zero configuration, and agent-ready MCP-compatible APIs. The tool allows users to run shell commands, perform file operations, automate browser tasks, and integrate with various development tools and services.

DeepTutor is an AI-powered personalized learning assistant that offers a suite of modules for massive document knowledge Q&A, interactive learning visualization, knowledge reinforcement with practice exercise generation, deep research, and idea generation. The tool supports multi-agent collaboration, dynamic topic queues, and structured outputs for various tasks. It provides a unified system entry for activity tracking, knowledge base management, and system status monitoring. DeepTutor is designed to streamline learning and research processes by leveraging AI technologies and interactive features.

PersonalExam is a personalized question generation system based on LLM and knowledge graph collaboration. It utilizes the BKT algorithm, RAG engine, and OpenPangu model to achieve personalized intelligent question generation and recommendation. The system features adaptive question recommendation, fine-grained knowledge tracking, AI answer evaluation, student profiling, visual reports, interactive knowledge graph, user management, and system monitoring.

MahoShojo-Generator is a web-based AI structured generation tool that allows players to create personalized and evolving magical girls (or quirky characters) and related roles. It offers exciting cyber battles, storytelling activities, and even a ranking feature. The project also includes AI multi-channel polling, user system, public data card sharing, and sensitive word detection. It supports various functionalities such as character generation, arena system, growth and social interaction, cloud and sharing, and other features like scenario generation, tavern ecosystem linkage, and content safety measures.

lassxToolkit is a versatile tool designed for file processing tasks. It allows users to manipulate files and folders based on specified configurations in a strict .json format. The tool supports various AI models for tasks such as image upscaling and denoising. Users can customize settings like input/output paths, error handling, file selection, and plugin integration. lassxToolkit provides detailed instructions on configuration options, default values, and model selection. It also offers features like tree restoration, recursive processing, and regex-based file filtering. The tool is suitable for users looking to automate file processing tasks with AI capabilities.

mcp-prompts is a Python library that provides a collection of prompts for generating creative writing ideas. It includes a variety of prompts such as story starters, character development, plot twists, and more. The library is designed to inspire writers and help them overcome writer's block by offering unique and engaging prompts to spark creativity. With mcp-prompts, users can access a wide range of writing prompts to kickstart their imagination and enhance their storytelling skills.

goclaw is a powerful AI Agent framework written in Go language. It provides a complete tool system for FileSystem, Shell, Web, and Browser with Docker sandbox support and permission control. The framework includes a skill system compatible with OpenClaw and AgentSkills specifications, supporting automatic discovery and environment gating. It also offers persistent session storage, multi-channel support for Telegram, WhatsApp, Feishu, QQ, and WeWork, flexible configuration with YAML/JSON support, multiple LLM providers like OpenAI, Anthropic, and OpenRouter, WebSocket Gateway, Cron scheduling, and Browser automation based on Chrome DevTools Protocol.

TrainPPTAgent is an AI-based intelligent presentation generation tool. Users can input a topic and the system will automatically generate a well-structured and content-rich PPT outline and page-by-page content. The project adopts a front-end and back-end separation architecture: the front-end is responsible for interaction, outline editing, and template selection, while the back-end leverages large language models (LLM) and reinforcement learning (GRPO) to complete content generation and optimization, making the generated PPT more tailored to user goals.

OpenClaw Mini is a simplified reproduction of the core architecture of OpenClaw, designed for learning system-level design of AI agents. It focuses on understanding the Agent Loop, session persistence, context management, long-term memory, skill systems, and active awakening. The project provides a minimal implementation to help users grasp the core design concepts of a production-level AI agent system.

AI_NovelGenerator is a versatile novel generation tool based on large language models. It features a novel setting workshop for world-building, character development, and plot blueprinting, intelligent chapter generation for coherent storytelling, a status tracking system for character arcs and foreshadowing management, a semantic retrieval engine for maintaining long-range context consistency, integration with knowledge bases for local document references, an automatic proofreading mechanism for detecting plot contradictions and logic conflicts, and a visual workspace for GUI operations encompassing configuration, generation, and proofreading. The tool aims to assist users in efficiently creating logically rigorous and thematically consistent long-form stories.

Y2A-Auto is an automation tool that transfers YouTube videos to AcFun. It automates the entire process from downloading, translating subtitles, content moderation, intelligent tagging, to partition recommendation and upload. It also includes a web management interface and YouTube monitoring feature. The tool supports features such as downloading videos and covers using yt-dlp, AI translation and embedding of subtitles, AI generation of titles/descriptions/tags, content moderation using Aliyun Green, uploading to AcFun, task management, manual review, and forced upload. It also offers settings for automatic mode, concurrency, proxies, subtitles, login protection, brute force lock, YouTube monitoring, channel/trend capturing, scheduled tasks, history records, optional GPU/hardware acceleration, and Docker deployment or local execution.

Hub is an open-source, high-performance LLM gateway written in Rust. It serves as a smart proxy for LLM applications, centralizing control and tracing of all LLM calls and traces. Built for efficiency, it provides a single API to connect to any LLM provider. The tool is designed to be fast, efficient, and completely open-source under the Apache 2.0 license.

cascadeflow is an intelligent AI model cascading library that dynamically selects the optimal model for each query or tool call through speculative execution. It helps reduce API costs by 40-85% through intelligent model cascading and speculative execution with automatic per-query cost tracking. The tool is based on the research that shows 40-70% of queries don't require slow, expensive flagship models, and domain-specific smaller models often outperform large general-purpose models on specialized tasks. cascadeflow automatically escalates to flagship models for advanced reasoning when needed. It supports multiple providers, low latency, cost control, and transparency, and can be used for edge and local-hosted AI deployment.

Resume-design is an open-source and free resume design and template download website, built with Vue3 + TypeScript + Vite + Element-plus + pinia. It provides two design tools for creating beautiful resumes and a complete backend management system. The project has released two frontend versions and will integrate with a backend system in the future. Users can learn frontend by downloading the released versions or learn design tools by pulling the latest frontend code.

MarkMap-OpenAi-ChatGpt is a Vue.js-based mind map generation tool that allows users to generate mind maps by entering titles or content. The application integrates the markmap-lib and markmap-view libraries, supports visualizing mind maps, and provides functions for zooming and adapting the map to the screen. Users can also export the generated mind map in PNG, SVG, JPEG, and other formats. This project is suitable for quickly organizing ideas, study notes, project planning, etc. By simply entering content, users can get an intuitive mind map that can be continuously expanded, downloaded, and shared.

OpenAI-Forward is an efficient forwarding service implemented for large language models. Its core features include user request rate control, token rate limiting, intelligent prediction caching, log management, and API key management, aiming to provide efficient and convenient model forwarding services. Whether proxying local language models or cloud-based language models like LocalAI or OpenAI, OpenAI-Forward makes it easy. Thanks to support from libraries like uvicorn, aiohttp, and asyncio, OpenAI-Forward achieves excellent asynchronous performance.

Weave is a toolkit for developing Generative AI applications, built by Weights & Biases. With Weave, you can log and debug language model inputs, outputs, and traces; build rigorous, apples-to-apples evaluations for language model use cases; and organize all the information generated across the LLM workflow, from experimentation to evaluations to production. Weave aims to bring rigor, best-practices, and composability to the inherently experimental process of developing Generative AI software, without introducing cognitive overhead.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

The VisionCraft API is a free API for using over 100 different AI models. From images to sound.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.