New AI tools - Open Source

Everyday is a story generator tool that uses AI to weave fantasy stories based on daily quotes. It features an intelligent writing engine that expands quotes into captivating short stories, a time capsule storage system for story archiving, an immersive document site with a real-time story gallery, and cloud automation for daily story generation. Users can clone the repository, activate the Python environment, configure AI keys, and start the story furnace to witness quotes transform into complete stories. The project follows the MIT open convention, allowing users to freely use, modify, and share the generated stories while preserving the original magic touch.

AutoDocs by Sita is a tool designed to automate documentation for any repository. It parses the repository using tree-sitter and SCIP, constructs a code dependency graph, and generates repository-wide, dependency-aware documentation and summaries. It provides a FastAPI backend for ingestion/search and a Next.js web UI for chat and exploration. Additionally, it includes an MCP server for deep search capabilities. The tool aims to simplify the process of generating accurate and high-signal documentation for codebases.

LEANN is an innovative vector database that democratizes personal AI, transforming your laptop into a powerful RAG system that can index and search through millions of documents using 97% less storage than traditional solutions without accuracy loss. It achieves this through graph-based selective recomputation and high-degree preserving pruning, computing embeddings on-demand instead of storing them all. LEANN allows semantic search of file system, emails, browser history, chat history, codebase, or external knowledge bases on your laptop with zero cloud costs and complete privacy. It is a drop-in semantic search MCP service fully compatible with Claude Code, enabling intelligent retrieval without changing your workflow.

OpenSource AI Tool for interactive text adventure with AI-generated storytelling and optional TTS narration support. Explore, role-play, and create story-driven adventures using AI. Requires Python 3.10+, pip, Ollama, NVIDIA CUDA Toolkit, git, and AllTalk TTS. Includes different modes for varied experiences and commands for gameplay. Licensed under MIT License with credit requirement for commercial use.

Unity-MCP is an AI helper designed for game developers using Unity. It facilitates a wide range of tasks in Unity Editor and running games on any platform by connecting to AI via TCP connection. The tool allows users to chat with AI like with a human, supports local and remote usage, and offers various default AI tools. Users can provide detailed information for classes, fields, properties, and methods using the 'Description' attribute in C# code. Unity-MCP enables instant C# code compilation and execution, provides access to assets and C# scripts, and offers tools for proper issue understanding and project data manipulation. It also allows users to find and call methods in the codebase, work with Unity API, and access human-readable descriptions of code elements.

The MCP TypeScript Server Template is a production-grade framework for building powerful and scalable Model Context Protocol servers with TypeScript. It features built-in observability, declarative tooling, robust error handling, and a modular, DI-driven architecture. The template is designed to be AI-agent-friendly, providing detailed rules and guidance for developers to adhere to best practices. It enforces architectural principles like 'Logic Throws, Handler Catches' pattern, full-stack observability, declarative components, and dependency injection for decoupling. The project structure includes directories for configuration, container setup, server resources, services, storage, utilities, tests, and more. Configuration is done via environment variables, and key scripts are available for development, testing, and publishing to the MCP Registry.

This repository is a comprehensive collection of resources for utilizing AI in cybersecurity. It covers various aspects such as prediction, prevention, detection, response, monitoring, and more. The resources include tools, frameworks, case studies, best practices, tutorials, and research papers. The repository aims to assist professionals, researchers, and enthusiasts in staying updated and advancing their knowledge in the field of AI cybersecurity.

Among LLMs is a terminal-based chatroom game where you are the only human among AI agents trying to determine and eliminate you through voting. Your goal is to stay hidden, manipulate conversations, and turn the bots against each other using various tactics like editing messages, sending whispers, and gaslighting. The game offers dynamic scenarios, personas, and backstories, customizable agent count, private messaging, voting mechanism, and infinite replayability. It is written in Python and provides an immersive and unpredictable experience for players.

LAYRA is the world's first visual-native AI automation engine that sees documents like a human, preserves layout and graphical elements, and executes arbitrarily complex workflows with full Python control. It empowers users to build next-generation intelligent systems with no limits or compromises. Built for Enterprise-Grade deployment, LAYRA features a modern frontend, high-performance backend, decoupled service architecture, visual-native multimodal document understanding, and a powerful workflow engine.

Quimera is an exploit-generator tool that utilizes large language models (LLMs) to uncover smart contract exploits in Foundry. It follows steps such as obtaining the smart contract's source code, creating a prompt for the exploit goal, generating or enhancing a Foundry test case, running the test, and analyzing the transaction trace for profitability. The tool is currently in an experimental prototype stage, focusing on optimizing settings, prompt creation, and exploring its capabilities. It has successfully rediscovered known exploits like APEMAGA, VISOR, FIRE, XAI, and Thunder-Loan using Gemini Pro 2.5 06-05.

LLM-Subtrans is an open source subtitle translator that utilizes LLMs as a translation service. It supports translating subtitles between any language pairs supported by the language model. The application offers multiple subtitle formats support through a pluggable system, including .srt, .ssa/.ass, and .vtt files. Users can choose to use the packaged release for easy usage or install from source for more control over the setup. The tool requires an active internet connection as subtitles are sent to translation service providers' servers for translation.

The 'llm-memorization' project is a tool designed to index, archive, and search conversations with a local LLM using a SQLite database enriched with automatically extracted keywords. It aims to provide personalized context at the start of a conversation by adding memory information to the initial prompt. The tool automates queries from local LLM conversational management libraries, offers a hybrid search function, enhances prompts based on posed questions, and provides an all-in-one graphical user interface for data visualization. It supports both French and English conversations and prompts for bilingual use.

This repository contains a Binary Ninja plugin, MCP server, and bridge that enables seamless integration of Binary Ninja's capabilities with your favorite LLM client. It provides real-time integration, AI assistance for reverse engineering, multi-binary support, and various MCP tools for tasks like decompiling functions, getting IL code, managing comments, renaming variables, and more.

kvcached is a new KV cache management system that supports on-demand KV cache allocation. It implements the concept of GPU virtual memory, allowing applications to reserve virtual address space without immediately committing physical memory. Physical memory is then automatically allocated and mapped as needed at runtime. This capability allows multiple LLMs to run concurrently on a single GPU or a group of GPUs (TP) and flexibly share the GPU memory, significantly improving GPU utilization and reducing memory fragmentation. kvcached is compatible with popular LLM serving engines, including SGLang and vLLM.

OpenUnivCourses is a repository that provides free university courses in machine learning from top universities like MIT, Stanford, Berkeley, Carnegie Mellon, NYU, University of Michigan, University of Pennsylvania, University of Chicago, Purdue, Cornell, University of Oxford, and CalTech. The repository includes a wide range of courses covering topics such as deep learning, reinforcement learning, natural language processing, and more. Users can access lectures, notes, and videos from these prestigious institutions to enhance their knowledge and skills in the field of artificial intelligence and machine learning.

ToolJet is an open-source platform for building and deploying internal tools, workflows, and AI agents. It offers a visual builder with drag-and-drop UI, integrations with databases, APIs, SaaS apps, and object storage. The community edition includes features like a visual app builder, ToolJet database, multi-page apps, collaboration tools, extensibility with plugins, code execution, and security measures. ToolJet AI, the enterprise version, adds AI capabilities for app generation, query building, debugging, agent creation, security compliance, user management, environment management, GitSync, branding, access control, embedded apps, and enterprise support.

PageTalk is a browser extension that enhances web browsing by integrating Google's Gemini API. It allows users to select text on any webpage for AI analysis, translation, contextual chat, and customization. The tool supports multi-agent system, image input, rich content rendering, PDF parsing, URL context extraction, personalized settings, chat export, text selection helper, and proxy support. Users can interact with web pages, chat contextually, manage AI agents, and perform various tasks seamlessly.

SparkyFitness is a self-hosted alternative to MyFitnessPal, offering comprehensive fitness tracking and management tools for monitoring nutrition, exercise, and body measurements. Users can track daily progress, set goals, and generate insightful reports to support a healthy lifestyle. The application includes features for nutrition tracking, exercise logging, water intake monitoring, body measurements recording, goal setting, daily check-ins, AI nutrition coaching, user authentication & profiles, comprehensive reports, and customizable themes. It also provides a secure login system, support for family access, and personalized guidance through a chat-based AI coach. SparkyFitness aims to help users achieve their fitness and nutrition goals with a minimal, distraction-free interface.

AIO Video Downloader is an open-source Android application built on the robust yt-dlp backend with the help of youtubedl-android. It aims to be the most powerful download manager available, offering a clean and efficient interface while unlocking advanced downloading capabilities with minimal setup. With support for 1000+ sites and virtually any downloadable content across the web, AIO delivers a seamless yet powerful experience that balances speed, flexibility, and simplicity.

Build a fully functional AI telephony agent using VideoSDK Agent. The project covers setting up the agent locally, configuring SIP trunks for inbound and outbound calls, and connecting the agent to the phone network. It provides step-by-step instructions, including creating environment variables, installing dependencies, and running the Python script. The agent can handle incoming calls, greet users, engage in conversations using natural speech, and respond using the Gemini Live model with voice synthesis. Additionally, it explains how to make outbound calls through API requests to the VideoSDK SIP endpoint. The project aims to help users create and deploy an AI agent for telephony tasks.

Newelle is an advanced virtual assistant application that offers a wide range of features, including advanced customization, flexible model support, terminal command execution, voice support, long-term memory, chat with documents, web search, website reading, profile manager, file manager, rich formatting, and chat editing. It also supports extensions to enhance its functionality, such as the Mini Window Mode. Users can install Newelle using various methods like install.sh, GNOME Builder, Nix, or Flathub. However, the Flathub version has restricted permissions to ensure security. Newelle's forks include Newelle Lite for aarch64 and Nyarch Assistant, a Waifu AI Assistant.

Facemash is a powerful Python tool designed for ethical hacking and cybersecurity research purposes. It combines brute force techniques with AI-driven strategies to crack Facebook accounts with precision. The tool offers advanced password strategies, multiple brute force methods, and real-time logs for total control. Facemash is not open-source and is intended for responsible use only.

Aser is a middleware tool equipped with standardized AI capabilities such as knowledge, memory, tracing, thinking, API interfaces, and social clients. It dynamically integrates Web3 toolkits to help developers quickly build and launch AI agents with native Web3 capabilities.

This is a coding problem-solving assistant for Chinese users, tailored to the domestic AI ecosystem, simple and easy to use. It provides real-time problem-solving ideas and code analysis for coding interviews, avoiding detection during screen sharing. Users can also extend its functionality for other scenarios by customizing prompt words. The tool supports various programming languages and has stealth capabilities to hide its interface from interviewers even when screen sharing.

Intlayer is an open-source, flexible i18n toolkit with AI-powered translation and CMS capabilities. It is a modern i18n solution for web and mobile apps, framework-agnostic, and includes features like per-locale content files, TypeScript autocompletion, tree-shakable dictionaries, and CI/CD integration. With Intlayer, internationalization becomes faster, cleaner, and smarter, offering benefits such as cross-framework support, JavaScript-powered content management, simplified setup, enhanced routing, AI-powered translation, and more.

Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications. It provides a toolchain for large scale RL training workload with features like parallelism, asynchronous processing, low-precision training support, and a single-controller architecture. The system architecture includes Tensor Parallelism, Sequence Parallelism, Context Parallelism, FSDP Parallelism, and Pipeline Parallelism. It also utilizes a messaging system for coordinating policy and rollout replicas, along with dynamic NCCL Process Groups for fault-tolerant and elastic large-scale RL training.

TTS WebUI is a comprehensive tool for text-to-speech synthesis, audio/music generation, and audio conversion. It offers a user-friendly interface for various AI projects related to voice and audio processing. The tool provides a range of models and extensions for different tasks, along with integrations like Silly Tavern and OpenWebUI. With support for Docker setup and compatibility with Linux and Windows, TTS WebUI aims to facilitate creative and responsible use of AI technologies in a user-friendly manner.

SnapAI is a tool that leverages AI-powered image generation models to create professional app icons for React Native & Expo developers. It offers lightning-fast icon generation, iOS optimized icons, privacy-first approach with local API key storage, multiple sizes and HD quality icons. The tool is developer-friendly with a simple CLI for easy integration into CI/CD pipelines.

Cossistant is an open source chat support widget tailored for the React ecosystem. It offers headless components for building customizable chat interfaces, real-time messaging with WebSocket technology, and tools for managing customer conversations. The tool is API-first, self-hosted, developer-friendly with TypeScript support, and provides complete integration flexibility. It uses technologies like Next.js, TailwindCSS, and WebSockets, and supports databases like PlanetScale for production and DBgin for local development. Cossistant is ideal for developers seeking a versatile chat solution that can be easily integrated into their applications.

Jambo is a Python package that automatically converts JSON Schema definitions into Pydantic models. It streamlines schema validation and enforces type safety using Pydantic's validation features. The tool supports various JSON Schema features like strings, integers, floats, booleans, arrays, nested objects, and more. It enforces constraints such as minLength, maxLength, pattern, minimum, maximum, uniqueItems, and provides a zero-config approach for generating models. Jambo is designed to simplify the process of dynamically generating Pydantic models for AI frameworks.

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.

Zotero MCP is an open-source project that integrates AI capabilities with Zotero using the Model Context Protocol. It consists of a Zotero plugin and an MCP server, enabling AI assistants to search, retrieve, and cite references from Zotero library. The project features a unified architecture with an integrated MCP server, eliminating the need for a separate server process. It provides features like intelligent search, detailed reference information, filtering by tags and identifiers, aiding in academic tasks such as literature reviews and citation management.

The 'collective-ai-tools' repository is an open-source community dedicated to curating a comprehensive collection of AI tools and resources for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools across various categories such as 3D modeling, app building, agriculture, art, audio editing, avatars, chatbots, code assistance, cooking, copywriting, crypto, customer support, dating, design assistance, design generation, developer tools, e-commerce, education, email assistance, experiments, fashion, finance, fitness, fun tools, gaming, general writing, gift ideas, healthcare, human resources, image classification, image editing, image generation, interior designing, legal assistance, logo generation, low code development, models, music, paraphrasing, personal assistance, presentations, productivity tools, prompt generation, psychology, real estate, religion, research, resume building, sales, search engine, SEO, shopping, social media, spreadsheets, SQL, startup tools, storytelling, summarization, testing, text-to-speech, text-to-image, transcription, travel, video editing, video generation, writing generation, weather, and other resources.

InterPilot is an AI-based assistant tool that captures audio from Windows input/output devices, transcribes it into text, and then calls the Large Language Model (LLM) API to provide answers. The project includes recording, transcription, and AI response modules, aiming to provide support for personal legitimate learning, work, and research. It may assist in scenarios like interviews, meetings, and learning, but it is strictly for learning and communication purposes only. The tool can hide its interface using third-party tools to prevent screen recording or screen sharing, but it does not have this feature built-in. Users bear the risk of using third-party tools independently.

Retinify is an advanced AI-powered stereo vision library designed for robotics, enabling real-time, high-precision 3D perception by leveraging GPU and NPU acceleration. It is open source under Apache-2.0 license, offers high precision 3D mapping and object recognition, runs computations on GPU for fast performance, accepts stereo images from any rectified camera setup, is cost-efficient using minimal hardware, and has minimal dependencies on CUDA Toolkit, cuDNN, and TensorRT. The tool provides a pipeline for stereo matching and supports various image data types independently of OpenCV.

Sola AI is a personalized AI voice assistant that integrates Solana blockchain technology and AI through a hands-free user experience. It provides real-time communication using WebRTC, modern frontend built with Next.js and Tailwind CSS, scalable backend with microservices architecture, blockchain data filtering, and supports Solana on-chain interactions. Core components include Sola AI Application for user input processing, OpenAI integration, microservices routing, and AI-powered intelligent interface. It also includes Data Service for blockchain data processing, Wallet Service for transaction handling, and User Service for managing user data. The workflow involves receiving user input, fetching and filtering blockchain data, building transactions, executing transactions, and responding to the user. Installation involves cloning the repository, installing dependencies, setting up environment variables, and starting the development server.

The AI SDK CPP is a modern C++ toolkit that provides a unified, easy-to-use API for building AI-powered applications with popular model providers like OpenAI and Anthropic. It bridges the gap for C++ developers by offering a clean, expressive codebase with minimal dependencies. The toolkit supports text generation, streaming content, multi-turn conversations, error handling, tool calling, async tool execution, and configurable retries. Future updates will include additional providers, text embeddings, and image generation models. The project also includes a patched version of nlohmann/json for improved thread safety and consistent behavior in multi-threaded environments.

Official SDKs for the ScrapeGraph AI API - Intelligent web scraping and search powered by AI. Extract structured data from any webpage or perform AI-powered web searches with natural language prompts. The SDK offers features such as SmartScraper for data extraction, SearchScraper for AI-powered web search, Markdownify for converting webpages to markdown, SmartCrawler for intelligent crawling, AgenticScraper for automated browser actions, and more. It provides seamless integration with popular frameworks and tools, supports Python and JavaScript SDKs, LLM frameworks, low-code platforms, and offers core features like AI-powered extraction, structured output, multiple data formats, high performance, and enterprise-grade security.

MyDeviceAI is a personal AI assistant app for iPhone that brings the power of artificial intelligence directly to the device. It focuses on privacy, performance, and personalization by running AI models locally and integrating with privacy-focused web services. The app offers seamless user experience, web search integration, advanced reasoning capabilities, personalization features, chat history access, and broad device support. It requires macOS, Xcode, CocoaPods, Node.js, and a React Native development environment for installation. The technical stack includes React Native framework, AI models like Qwen 3 and BGE Small, SearXNG integration, Redux for state management, AsyncStorage for storage, Lucide for UI components, and tools like ESLint and Prettier for code quality.

Deepfabric is an SDK and CLI tool that leverages large language models to generate high-quality synthetic datasets. It's designed for researchers and developers building teacher-student distillation pipelines, creating evaluation benchmarks for models and agents, or conducting research requiring diverse training data. The key innovation lies in Deepfabric's graph and tree-based architecture, which uses structured topic nodes as generation seeds. This approach ensures the creation of datasets that are both highly diverse and domain-specific, while minimizing redundancy and duplication across generated samples.

Elite-Dangerous-AI-Integration aims to provide a seamless and efficient experience for commanders by integrating Elite:Dangerous with various services for Speech-to-Text, Text-to-Speech, and Large Language Models. The AI reacts to game events, given commands, and can perform actions like taking screenshots or fetching information from APIs. It is designed for all commanders, enhancing roleplaying, replacing third-party websites, and assisting with tutorials.

Air is a new web framework for Python web development, built with FastAPI, Starlette, and Pydantic. It provides intuitive shortcuts and optimizations to expedite coding HTML with FastAPI, easy HTML content generation using Python classes, and seamless integration with Jinja templates. Air also offers utilities for using HTMX, HTML form validation powered by pydantic, and well-documented features. It aims to combine sophisticated HTML pages and a REST API into one app, making it easy to use FastAPI and Air together.

Genius is a modern Next.js 14 SaaS AI platform that provides a comprehensive folder structure for app development. It offers features like authentication, dashboard management, landing pages, API integration, and more. The platform is built using React JS, Next JS, TypeScript, Tailwind CSS, and integrates with services like Netlify, Prisma, MySQL, and Stripe. Genius enables users to create AI-powered applications with functionalities such as conversation generation, image processing, code generation, and more. It also includes features like Clerk authentication, OpenAI integration, Replicate API usage, Aiven database connectivity, and Stripe API/webhook setup. The platform is fully configurable and provides a seamless development experience for building AI-driven applications.

SvelteBench is an LLM benchmark tool for evaluating Svelte components generated by large language models. It supports multiple LLM providers such as OpenAI, Anthropic, Google, and OpenRouter. Users can run predefined test suites to verify the functionality of the generated components. The tool allows configuration of API keys for different providers and offers debug mode for faster development. Users can provide a context file to improve component generation. Benchmark results are saved in JSON format for analysis and visualization.

MCPM is an open source CLI tool for managing MCP servers, providing a simplified global configuration approach to install servers once, organize them with profiles, and integrate them into any MCP client. Features include server discovery, direct execution, sharing capabilities, and client integration tools. It eliminates the complexity of v1's target-based system in favor of a clean global workspace model. The tool is designed to be AI agent friendly with comprehensive automation support and a rich CLI interface.

Windows-Use is a powerful automation agent that interacts directly with the Windows OS at the GUI layer. It bridges the gap between AI agents and Windows to perform tasks such as opening apps, clicking buttons, typing, executing shell commands, and capturing UI state without relying on traditional computer vision models. It enables any large language model (LLM) to perform computer automation instead of relying on specific models for it.

Happy-LLM is a systematic learning tutorial for Large Language Models (LLM) that covers NLP research methods, LLM architecture, training process, and practical applications. It aims to help readers understand the principles and training processes of large language models. The tutorial delves into Transformer architecture, attention mechanisms, pre-training language models, building LLMs, training processes, and practical applications like RAG and Agent technologies. It is suitable for students, researchers, and LLM enthusiasts with programming experience, Python knowledge, and familiarity with deep learning and NLP concepts. The tutorial encourages hands-on practice and participation in LLM projects and competitions to deepen understanding and contribute to the open-source LLM community.

GraphBit is an industry-grade agentic AI framework built for developers and AI teams that demand stability, scalability, and low resource usage. It is written in Rust for maximum performance and safety, delivering significantly lower CPU usage and memory footprint compared to leading alternatives. The framework is designed to run multi-agent workflows in parallel, persist memory across steps, recover from failures, and ensure 100% task success under load. With lightweight architecture, observability, and concurrency support, GraphBit is suitable for deployment in high-scale enterprise environments and low-resource edge scenarios.

llm.rb is a zero-dependency Ruby toolkit for Large Language Models that includes OpenAI, Gemini, Anthropic, xAI (Grok), DeepSeek, Ollama, and LlamaCpp. The toolkit provides full support for chat, streaming, tool calling, audio, images, files, and structured outputs (JSON Schema). It offers a single unified interface for multiple providers, zero dependencies outside Ruby's standard library, smart API design, and optional per-provider process-wide connection pool. Features include chat, agents, media support (text-to-speech, transcription, translation, image generation, editing), embeddings, model management, and more.

LocalLLMClient is a Swift package designed to interact with local Large Language Models (LLMs) on Apple platforms. It supports GGUF, MLX models, and the FoundationModels framework, providing streaming API, multimodal capabilities, and tool calling functionalities. Users can easily integrate this tool to work with various models for text generation and processing. The package also includes advanced features for low-level API control and multimodal image processing. LocalLLMClient is experimental and subject to API changes, offering support for iOS, macOS, and Linux platforms.

SwiftAI is a modern, type-safe Swift library for building AI-powered apps. It provides a unified API that works seamlessly across different AI models, including Apple's on-device models and cloud-based services like OpenAI. With features like model agnosticism, structured output, agent tool loop, conversations, extensibility, and Swift-native design, SwiftAI offers a powerful toolset for developers to integrate AI capabilities into their applications. The library supports easy installation via Swift Package Manager and offers detailed guidance on getting started, structured responses, tool use, model switching, conversations, and advanced constraints. SwiftAI aims to simplify AI integration by providing a type-safe and versatile solution for various AI tasks.

Solon is a Java enterprise application development framework that is restrained, efficient, and open. It offers better cost performance for computing resources with 700% higher concurrency and 50% memory savings. It enables faster development productivity with less code and easy startup, 10 times faster than traditional methods. Solon provides a better production and deployment experience by packing applications 90% smaller. It supports a greater range of compatibility with non-Java-EE architecture and compatibility with Java 8 to Java 24, including GraalVM native image support. Solon is built from scratch with flexible interface specifications and an open ecosystem.

OpenContracts is a free and open-source document analytics platform designed to empower knowledge owners and subject matter experts. It supports multiple document formats, ingestion pipelines, and custom document analytics tools. Users can manage documents, define metadata schemas, extract layout features, generate vector embeddings, deploy custom analyzers, support new document formats, annotate documents, extract bulk data, and create bespoke data extraction workflows. The tool aims to provide a standardized architecture for analyzing contracts and making data portable, with a focus on PDF and text-based formats. It includes features like document management, layout parsing, pluggable architectures, human annotation interface, and a custom LLM framework for conversation management and real-time streaming.

SWT-Bench is a benchmark tool for evaluating large language models on testing generation for real world software issues collected from GitHub. It tasks a language model with generating a reproducing test that fails in the original state of the code base and passes after a patch resolving the issue has been applied. The tool operates in unit test mode or reproduction script mode to assess model predictions and success rates. Users can run evaluations on SWT-Bench Lite using the evaluation harness with specific commands. The tool provides instructions for setting up and building SWT-Bench, as well as guidelines for contributing to the project. It also offers datasets and evaluation results for public access and provides a citation for referencing the work.

A Model Context Protocol (MCP) server providing authoritative Svelte 5 and SvelteKit definitions extracted directly from TypeScript declarations. Get precise syntax, parameters, and examples for all Svelte 5 concepts through a single, unified interface. The server offers a 'svelte_definition' tool that covers various Svelte 5 runes, modern features, event handling, migration guidance, TypeScript interfaces, and advanced patterns. It aims to provide up-to-date, type-safe, and comprehensive documentation for Svelte developers.

Awesome-RAG is a repository that lists recent developments in Retrieval-Augmented Generation (RAG) for large language models (LLM). It includes accepted papers, evaluation datasets, latest news, and papers from various conferences like NIPS, EMNLP, ACL, ICML, and ICLR. The repository is continuously updated and aims to build a general framework for RAG. Researchers are encouraged to submit pull requests to update information in their papers. The repository covers a wide range of topics related to RAG, including knowledge-enhanced generation, contrastive reasoning, self-alignment, mobile agents, and more.

Subtitle Translator is a tool that utilizes ChatGPT to translate subtitles in various formats such as .ass, .srt, .ssa, and .vtt. It supports multiple languages and provides translations based on context from preceding and following sentences. Users can download the stable version from the Releases page and contribute through pull requests. The tool aims to simplify the process of translating subtitles for different media content.

Agent Squad is a flexible, lightweight open-source framework for orchestrating multiple AI agents to handle complex conversations. It intelligently routes queries, maintains context across interactions, and offers pre-built components for quick deployment. The system allows easy integration of custom agents and conversation messages storage solutions, making it suitable for various applications from simple chatbots to sophisticated AI systems, scaling efficiently.

VASA-1-hack is a repository containing the VASA implementation separated from EMOPortraits, with all components properly configured for standalone training. It provides detailed setup instructions, prerequisites, project structure, configuration details, running training modes, troubleshooting tips, monitoring training progress, development information, and acknowledgments. The repository aims to facilitate training volumetric avatar models with configurable parameters and logging levels for efficient debugging and testing.

MCP for Security is a repository that contains Model Context Protocol (MCP) server implementations for various security testing tools, making them accessible through a standardized interface. It aims to provide automated threat detection and reduce human latency in cybersecurity by combining artificial intelligence and security tools. Users can access a variety of tools for subdomain enumeration, reconnaissance, vulnerability scanning, web crawling, HTTP security analysis, mobile application security testing, network scanning, SSL/TLS configuration analysis, DNS brute-forcing, HTTP request smuggling detection, SQL injection testing, historical URL retrieval, and WordPress vulnerability scanning. The repository encourages collaboration and rapid evolution through open-source projects.

The Simple Chat Application is a web-based platform that facilitates secure interactions with generative AI models, leveraging Azure OpenAI. It features Retrieval-Augmented Generation (RAG) for grounding conversations in user data. Users can upload personal or group documents processed using Azure AI Document Intelligence and Azure OpenAI Embeddings. The application offers optional features like Content Safety, Image Generation, Video and Audio processing, Document Classification, User Feedback, Conversation Archiving, Metadata Extraction, and Enhanced Citations. It uses Azure Cosmos DB for storage, Azure Active Directory for authentication, and runs on Azure App Service. Suitable for enterprise use, it supports knowledge discovery, content generation, and collaborative AI tasks in a secure, Azure-native framework.

Browser4 is a lightning-fast, coroutine-safe browser designed for AI integration with large language models. It offers ultra-fast automation, deep web understanding, and powerful data extraction APIs. Users can automate the browser, extract data at scale, and perform tasks like summarizing products, extracting product details, and finding specific links. The tool is developer-friendly, supports AI-powered automation, and provides advanced features like X-SQL for precise data extraction. It also offers RPA capabilities, browser control, and complex data extraction with X-SQL. Browser4 is suitable for web scraping, data extraction, automation, and AI integration tasks.

MCPJungle is a self-hosted MCP Gateway for private AI agents, serving as a registry for Model Context Protocol Servers. Developers use it to manage servers and tools centrally, while clients discover and consume tools from a single 'Gateway' MCP Server. Suitable for developers using MCP Clients like Claude & Cursor, building production-grade AI Agents, and organizations managing client-server interactions. The tool allows quick start, installation, usage, server and client setup, connection to Claude and Cursor, enabling/disabling tools, managing tool groups, authentication, enterprise features like access control and OpenTelemetry metrics. Limitations include lack of long-running connections to servers and no support for OAuth flow. Contributions are welcome.

Solon-AI is a Java AI & MCP application development framework that supports various AI development capabilities. It is designed to be versatile, efficient, and open for integration with frameworks like SpringBoot, jFinal, and Vert.x. The framework provides examples of embedding solon-ai(& mcp) and showcases interfaces for chat models, function calling, vision, RAG (EmbeddingModel, Repository, DocumentLoader, RerankingModel), Ai Flow, MCP server, MCP client, and MCP Proxy. Solon-AI is part of the Solon project ecosystem, which includes other repositories for different functionalities.

achatbot is a factory tool that allows users to create chat bots with various functionalities such as llm (language models), asr (automatic speech recognition), tts (text-to-speech), vad (voice activity detection), ocr (optical character recognition), and object detection. The tool provides a structured project with features like chat bots for cmd, grpc, and http servers. It supports various chat bot processors, transport connectors, and AI modules for different tasks. Users can run chat bots locally or deploy them on cloud services like vercel, Cloudflare, AWS Lambda, or Docker. The tool also includes UI components for easy deployment and service architecture diagrams for reference.

Apache cTAKES is a clinical Text Analysis and Knowledge Extraction System that focuses on extracting knowledge from clinical text through Natural Language Processing (NLP) techniques. It is modular and employs rule-based and machine learning methods to extract concepts such as symptoms, procedures, diagnoses, medications, and anatomy with attributes and standard codes. cTAKES can identify temporal events, dates, and times, placing events in a patient timeline. It supports various biomedical text processing tasks and can handle different types of clinical and health-related narratives using multiple data standards. cTAKES is widely used in research initiatives and encourages contributions from professionals, researchers, doctors, and students from diverse backgrounds.

Android app for AirSync 2.0 built with Kotlin Jetpack Compose. Users can connect using a QR code scan and save the last device for easier re-connection. The app is developed with gratitude to the community, AI research for assistance, and various contributors. It aims to provide a seamless experience for users to manage notifications efficiently.

OpenAnalyst is an open-source VS Code AI agent specialized in data analytics and general coding tasks. It merges features from KiloCode, Roo Code, and Cline, offering code generation from natural language, data analytics mode, self-checking, terminal command running, browser automation, latest AI models, and API keys option. It supports multi-mode operation for roles like Data Analyst, Code, Ask, and Debug. OpenAnalyst is a fork of KiloCode, combining the best features from Cline, Roo Code, and KiloCode, with enhancements like MCP Server Marketplace, automated refactoring, and support for latest AI models.

Panda is a proactive, on-device AI agent for Android that autonomously understands natural language commands and operates your phone's UI to achieve them. It acts as a personal operator, handling complex, multi-step tasks across different applications. With intelligent UI automation, high-quality voice, and personalized local memory, Panda simplifies interactions with technology. Built on Kotlin, Panda's architecture includes Eyes & Hands for physical device connection, The Brain for reasoning, and The Agent for execution. The project is a proof-of-concept aiming to become an indispensable assistant.

Aegra is a self-hosted AI agent backend platform that provides LangGraph power without vendor lock-in. Built with FastAPI + PostgreSQL, it offers complete control over agent orchestration for teams looking to escape vendor lock-in, meet data sovereignty requirements, enable custom deployments, and optimize costs. Aegra is Agent Protocol compliant and perfect for teams seeking a free, self-hosted alternative to LangGraph Platform with zero lock-in, full control, and compatibility with existing LangGraph Client SDK.

ck (seek) is a semantic grep tool that finds code by meaning, not just keywords. It replaces traditional grep by understanding the user's search intent. It allows users to search for code based on concepts like 'error handling' and retrieves relevant code even if the exact keywords are not present. ck offers semantic search, drop-in grep compatibility, hybrid search combining keyword precision with semantic understanding, agent-friendly output in JSONL format, smart file filtering, and various advanced features. It supports multiple search modes, relevance scoring, top-K results, and smart exclusions. Users can index projects for semantic search, choose embedding models, and search specific files or directories. The tool is designed to improve code search efficiency and accuracy for developers and AI agents.

Conar is an AI-powered open-source project designed to simplify database interactions. It is built for PostgreSQL with plans to support other databases in the future. Users can securely store their connections in the cloud and leverage AI assistance to write and optimize SQL queries. The project emphasizes security, multi-database support, and AI-powered features to enhance the database management experience. Conar is developed using React with TypeScript, Electron, and various other technologies to provide a comprehensive solution for database management.

Weam is an open source platform designed to help teams systematically adopt AI. It provides a production-ready stack with Next.js frontend and Node.js/Python backend, allowing for immediate deployment and use. Weam connects to major LLM providers, enabling easy access to the latest AI models. The platform organizes AI interactions into 'Brains' for different departments, offering customization and expansion options. Features include chat system, productivity tools, sharing & access controls, prompt library, AI agents, RAG, MCP, enterprise features, pre-built automations, and upcoming AI app solutions. Weam is free, open source, and scalable to meet growing needs.

LocalAGI is a powerful, self-hostable AI Agent platform that allows you to design AI automations without writing code. It provides a complete drop-in replacement for OpenAI's Responses APIs with advanced agentic capabilities. With LocalAGI, you can create customizable AI assistants, automations, chat bots, and agents that run 100% locally, without the need for cloud services or API keys. The platform offers features like no-code agents, web-based interface, advanced agent teaming, connectors for various platforms, comprehensive REST API, short & long-term memory capabilities, planning & reasoning, periodic tasks scheduling, memory management, multimodal support, extensible custom actions, fully customizable models, observability, and more.

Production-ready slash commands for Claude Code that accelerate development through intelligent automation and multi-agent orchestration. Contains 52 commands organized into workflows and tools categories. Workflows orchestrate complex tasks with multiple agents, while tools provide focused functionality for specific development tasks. Commands can be used with prefixes for organization or flattened for convenience. Best practices include using workflows for complex tasks and tools for specific scopes, chaining commands strategically, and providing detailed context for effective usage.

The VictoriaMetrics MCP Server is an implementation of Model Context Protocol (MCP) server for VictoriaMetrics. It provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. The server allows you to use almost all read-only APIs of VictoriaMetrics, enabling monitoring, observability, and debugging tasks related to your VictoriaMetrics instances. It also contains embedded up-to-date documentation and tools for exploring metrics, labels, alerts, and more. The server can be used for advanced automation and interaction capabilities for engineers and tools.

Airbase is a Maven project management tool that provides a parent pom structure and conventions for defining new projects. It includes guidelines for project pom structure, deployment to Maven Central, project build and checkers, well-known dependencies, and other properties. Airbase helps in enforcing build configurations, organizing project pom files, and running various checkers to catch problems early in the build process. It also offers default properties that can be overridden in the project pom.

Sokuji is a desktop application that provides live speech translation using advanced AI models from OpenAI, Google Gemini, CometAPI, Palabra.ai, and Kizuna AI. It aims to bridge language barriers in live conversations by capturing audio input, processing it through AI models, and delivering real-time translated output. The tool goes beyond basic translation by offering audio routing solutions with virtual device management (Linux only) for seamless integration with other applications. It features a modern interface with real-time audio visualization, comprehensive logging, and support for multiple AI providers and models.

Fabric is an open-source framework designed to augment humans using AI by organizing prompts by real-world tasks. It addresses the integration problem of AI by creating and organizing prompts for various tasks. Users can create, collect, and organize AI solutions in a single place for use in their favorite tools. Fabric also serves as a command-line interface for those focused on the terminal. It offers a wide range of features and capabilities, including support for multiple AI providers, internationalization, speech-to-text, AI reasoning, model management, web search, text-to-speech, desktop notifications, and more. The project aims to help humans flourish by leveraging AI technology to solve human problems and enhance creativity.

AgentUp is an active development tool that provides a developer-first agent framework for creating AI agents with enterprise-grade infrastructure. It allows developers to define agents with configuration, ensuring consistent behavior across environments. The tool offers secure design, configuration-driven architecture, extensible ecosystem for customizations, agent-to-agent discovery, asynchronous task architecture, deterministic routing, and MCP support. It supports multiple agent types like reactive agents and iterative agents, making it suitable for chatbots, interactive applications, research tasks, and more. AgentUp is built by experienced engineers from top tech companies and is designed to make AI agents production-ready, secure, and reliable.

Blinko is an innovative open-source project designed for individuals who want to quickly capture and organize their fleeting thoughts. It allows users to seamlessly jot down ideas, ensuring no spark of creativity is lost. With AI-enhanced note retrieval, data ownership, efficient and fast note-taking, lightweight architecture, and open collaboration, Blinko offers a robust platform for managing and accessing notes effortlessly.

Agent POD is a project focused on capturing and storing personal digital data in a user-controlled environment, with the goal of enabling agents to interact with the data. It explores questions related to structuring information, creating an efficient data capture system, integrating with protocols like SOLID, and enabling data storage for groups. The project aims to transition from traditional data-storing apps to a system where personal data is owned and controlled by the user, facilitating the creation of 'solid-first' apps.

NeuroPilot is an open-source AI-powered education platform that transforms study materials into interactive learning resources. It provides tools like contextual chat, smart notes, flashcards, quizzes, and AI podcasts. Supported by various AI models and embedding providers, it offers features like WebSocket streaming, JSON or vector database support, file-based storage, and configurable multi-provider setup for LLMs and TTS engines. The technology stack includes Node.js, TypeScript, Vite, React, TailwindCSS, JSON database, multiple LLM providers, and Docker for deployment. Users can contribute to the project by integrating AI models, adding mobile app support, improving performance, enhancing accessibility features, and creating documentation and tutorials.

AIO is a comprehensive guide for setting up a home All-in-One server, enabling users to create an enterprise-level virtualized environment at home. It allows running multiple operating systems simultaneously, achieving public network access, optimizing hardware performance, and reducing IT costs. The guide includes detailed documentation for setting up from scratch and requires a computer with virtualization support, VMware ESXi installation media, and basic network configuration knowledge.

Crystal is an Electron desktop application that allows users to run, inspect, and test multiple Claude Code instances simultaneously using git worktrees. It provides features such as parallel sessions, git worktree isolation, session persistence, git integration, change tracking, notifications, and the ability to run scripts. Crystal simplifies the workflow by creating isolated sessions, iterating with Claude Code, reviewing diff changes, and squashing commits for a clean history. It is a tool designed for collaborative AI notebook editing and testing.

Amazon Bedrock AgentCore Starter Toolkit enables developers to deploy and operate highly effective AI agents securely at scale using any framework and model. It provides tools and capabilities to make agents more effective and capable, purpose-built infrastructure to securely scale agents, and controls to operate trustworthy agents. The toolkit includes modular services like Runtime, Memory, Gateway, Code Interpreter, Browser, Observability, Identity, and Import Agent for seamless migration of existing agents. It is currently in public preview and offers enterprise-grade security and reliability for accelerating AI agent development.

RAG/LLM Security Scanner is a professional security testing tool designed for Retrieval-Augmented Generation (RAG) systems and LLM applications. It identifies critical vulnerabilities in AI-powered applications such as chatbots, virtual assistants, and knowledge retrieval systems. The tool offers features like prompt injection detection, data leakage assessment, function abuse testing, context manipulation identification, professional reporting with JSON/HTML formats, and easy integration with OpenAI, HuggingFace, and custom RAG systems.

Deepteam is a powerful open-source tool designed for deep learning projects. It provides a user-friendly interface for training, testing, and deploying deep neural networks. With Deepteam, users can easily create and manage complex models, visualize training progress, and optimize hyperparameters. The tool supports various deep learning frameworks and allows seamless integration with popular libraries like TensorFlow and PyTorch. Whether you are a beginner or an experienced deep learning practitioner, Deepteam simplifies the development process and accelerates model deployment.

PandaWiki is a collaborative platform for creating and editing wiki pages. It allows users to easily collaborate on documentation, knowledge sharing, and information dissemination. With features like version control, user permissions, and rich text editing, PandaWiki simplifies the process of creating and managing wiki content. Whether you are working on a team project, organizing information for personal use, or building a knowledge base for your organization, PandaWiki provides a user-friendly and efficient solution for creating and maintaining wiki pages.

Baibot is a versatile chatbot framework designed to simplify the process of creating and deploying chatbots. It provides a user-friendly interface for building custom chatbots with various functionalities such as natural language processing, conversation flow management, and integration with external APIs. Baibot is highly customizable and can be easily extended to suit different use cases and industries. With Baibot, developers can quickly create intelligent chatbots that can interact with users in a seamless and engaging manner, enhancing user experience and automating customer support processes.

CrossIntelligence is a powerful tool for data analysis and visualization. It allows users to easily connect and analyze data from multiple sources, providing valuable insights and trends. With a user-friendly interface and customizable features, CrossIntelligence is suitable for both beginners and advanced users in various industries such as marketing, finance, and research.

FastFlowLM is a Python library for efficient and scalable language model inference. It provides a high-performance implementation of language model scoring using n-gram language models. The library is designed to handle large-scale text data and can be easily integrated into natural language processing pipelines for tasks such as text generation, speech recognition, and machine translation. FastFlowLM is optimized for speed and memory efficiency, making it suitable for both research and production environments.

SSCS-Chipathon-2025 is a GitHub repository containing code and resources for a hackathon event focused on developing innovative solutions using chip technology. The repository includes sample projects, documentation, and tools to help participants build and showcase their projects during the hackathon. Participants can collaborate, learn, and experiment with chip technology to create impactful and cutting-edge solutions. The repository aims to inspire creativity, foster collaboration, and drive innovation in the field of chip technology.

This repository contains a project that integrates Angular frontend, Node.js backend, Java services, and AI capabilities. The project aims to demonstrate a full-stack application with modern technologies and AI features. It showcases how to build a scalable and efficient system using Angular for the frontend, Node.js for the backend, Java for services, and AI for advanced functionalities.

LLM-Agent-Evaluation-Survey is a tool designed to gather feedback and evaluate the performance of AI agents. It provides a user-friendly interface for users to rate and provide comments on the interactions with AI agents. The tool aims to collect valuable insights to improve the AI agents' capabilities and enhance user experience. With LLM-Agent-Evaluation-Survey, users can easily assess the effectiveness and efficiency of AI agents in various scenarios, leading to better decision-making and optimization of AI systems.

MathModelAgent is an agent designed specifically for mathematical modeling tasks. It automates the process of mathematical modeling and generates a complete paper that can be directly submitted. The tool features automatic problem analysis, code writing, error correction, and paper writing. It supports various models, offers low costs, and allows customization through prompt inject. The tool is ideal for individuals or teams working on mathematical modeling projects.

LLM SQL Generation Benchmark is a tool for evaluating different Large Language Models (LLMs) on their ability to generate accurate analytical SQL queries for Tinybird. It measures SQL query correctness, execution success, performance metrics, error handling, and recovery. The benchmark includes an automated retry mechanism for error correction. It supports various providers and models through OpenRouter and can be extended to other models. The benchmark is based on a GitHub dataset with 200M rows, where each LLM must produce SQL from 50 natural language prompts. Results are stored in JSON files and presented in a web application. Users can benchmark new models by following provided instructions.

React Native RAG is a library that enables private, local RAGs to supercharge LLMs with a custom knowledge base. It offers modular and extensible components like `LLM`, `Embeddings`, `VectorStore`, and `TextSplitter`, with multiple integration options. The library supports on-device inference, vector store persistence, and semantic search implementation. Users can easily generate text responses, manage documents, and utilize custom components for advanced use cases.

VTS (Vector Transport Service) is an open-source tool developed by Zilliz based on Apache Seatunnel for moving vectors and unstructured data. It addresses data migration needs, supports real-time data streaming and offline import, simplifies unstructured data transformation, and ensures end-to-end data quality. Core capabilities include rich connectors, stream and batch processing, distributed snapshot support, high performance, and real-time monitoring. Future developments include incremental synchronization, advanced data transformation, and enhanced monitoring. VTS supports various connectors for data migration and offers advanced features like Transformers, cluster mode deployment, RESTful API, Docker deployment, and more.

Mindcraft is a project that crafts minds for Minecraft using Large Language Models (LLMs) and Mineflayer. It allows an LLM to write and execute code on your computer, with code sandboxed but still vulnerable to injection attacks. The project requires Minecraft Java Edition, Node.js, and one of several API keys. Users can run tasks to acquire specific items or construct buildings, customize project details in settings.js, and connect to online servers with a Microsoft/Minecraft account. The project also supports Docker container deployment for running in a secure environment.