BabelDuck is a highly customizable AI oral conversation practice application for language learners at all levels, with a focus on being more beginner-friendly. It aims to minimize the threshold and mental burden of oral expression practice. The tool supports various AI conversation features such as managing multiple dialogues, customizing system prompts, and providing suggestions for grammar, translation, or expression refinement without interrupting the current conversation. Users can seek further discussion through sub-dialogues when in doubt about AI suggestions, seamlessly returning to the original conversation afterward. BabelDuck also offers voice input and output, integrates browser-built text-to-speech, and Azure TTS, and supports different dialogue preferences, data stored locally for user privacy, multilingual interface, and built-in tutorials.

The Agentic Radar is a security scanner designed to analyze and assess agentic systems for security and operational insights. It helps users understand how agentic systems function, identify potential vulnerabilities, and create security reports. The tool includes workflow visualization, tool identification, and vulnerability mapping, providing a comprehensive HTML report for easy reviewing and sharing. It simplifies the process of assessing complex workflows and multiple tools used in agentic systems, offering a structured view of potential risks and security frameworks.

Flare is an open-source AI-powered decentralized social network client for Android/iOS/macOS, consolidating multiple social networks into one platform. It allows cross-posting content, ensures privacy, and plans to implement features like mixed timeline, AI-powered functions, and support for various platforms. The project is in active development and aims to provide a seamless social networking experience for users.

FireRedTTS is a foundation text-to-speech framework designed for industry-level generative speech applications. It offers a rich-punctuation model with expanded punctuation coverage and enhanced audio production consistency. The tool provides pre-trained checkpoints, inference code, and an interactive demo space. Users can clone the repository, create a conda environment, download required model files, and utilize the tool for synthesizing speech in various languages. FireRedTTS aims to enhance stability and provide controllable human-like speech generation capabilities.

Bag of words is an open-source AI platform that helps data teams deploy and manage chat-with-your-data agents in a controlled, reliable, and self-learning environment. It enables users to create charts, tables, and dashboards by chatting with their data, capture AI decisions and user feedback, automatically improve AI quality, integrate with various data sources and APIs, and ensure governance and integrations. The platform supports self-hosting in VPC via VMs, Docker/Compose, or Kubernetes, and offers additional integrations for AI Analyst in Slack, Excel, Google Sheets, and more. Users can start in minutes and scale to org-wide analytics.

MLE-Agent is an intelligent companion designed for machine learning engineers and researchers. It features autonomous baseline creation, integration with Arxiv and Papers with Code, smart debugging, file system organization, comprehensive tools integration, and an interactive CLI chat interface for seamless AI engineering and research workflows.

Pebbling is an open-source protocol for agent-to-agent communication, enabling AI agents to collaborate securely using Decentralised Identifiers (DIDs) and mutual TLS (mTLS). It provides a lightweight communication protocol built on JSON-RPC 2.0, ensuring reliable and secure conversations between agents. Pebbling allows agents to exchange messages safely, connect seamlessly regardless of programming language, and communicate quickly and efficiently. It is designed to pave the way for the next generation of collaborative AI systems, promoting secure and effortless communication between agents across different environments.

NExT-GPT is an end-to-end multimodal large language model that can process input and generate output in various combinations of text, image, video, and audio. It leverages existing pre-trained models and diffusion models with end-to-end instruction tuning. The repository contains code, data, and model weights for NExT-GPT, allowing users to work with different modalities and perform tasks like encoding, understanding, reasoning, and generating multimodal content.

Holistic AI is an open-source library dedicated to assessing and improving the trustworthiness of AI systems. It focuses on measuring and mitigating bias, explainability, robustness, security, and efficacy in AI models. The tool provides comprehensive metrics, mitigation techniques, a user-friendly interface, and visualization tools to enhance AI system trustworthiness. It offers documentation, tutorials, and detailed installation instructions for easy integration into existing workflows.

DataFlow is a data preparation and training system designed to parse, generate, process, and evaluate high-quality data from noisy sources, improving the performance of large language models in specific domains. It constructs diverse operators and pipelines, validated to enhance domain-oriented LLM's performance in fields like healthcare, finance, and law. DataFlow also features an intelligent DataFlow-agent capable of dynamically assembling new pipelines by recombining existing operators on demand.

EmotiVoice is a powerful and modern open-source text-to-speech engine that supports emotional synthesis, enabling users to create speech with a wide range of emotions such as happy, excited, sad, and angry. It offers over 2000 different voices in both English and Chinese. Users can access EmotiVoice through an easy-to-use web interface or a scripting interface for batch generation of results. The tool is continuously evolving with new features and updates, prioritizing community input and user feedback.

MiKaPo is a web-based tool that allows users to pose MMD models in real-time using video input. It utilizes technologies such as Mediapipe for 3D key points detection, Babylon.js for 3D scene rendering, babylon-mmd for MMD model viewing, and Vite+React for the web framework. Users can upload videos and images, select different environments, and choose models for posing. MiKaPo also supports camera input and Ollama (electron version). The tool is open to feature requests and pull requests, with ongoing development to add VMD export functionality.

Stakgraph is a source code parser that utilizes treesitter, LSP, and neo4j to create software knowledge graphs for AI agents. It supports various languages such as Golang, React, Ruby on Rails, Typescript, Python, Swift, Kotlin, Rust, Java, Angular, and Svelte. Users can parse repositories, link endpoints, requests, and E2E tests, and ingest data to generate comprehensive graphs. The tool leverages the Language Server Protocol for node connections in the graph, enabling seamless integration and analysis of codebases.

Lobe Chat is an open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible ([function call][docs-functionc-call]) plugin system. One-click **FREE** deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat application.

GPT4Point is a unified framework for point-language understanding and generation. It aligns 3D point clouds with language, providing a comprehensive solution for tasks such as 3D captioning and controlled 3D generation. The project includes an automated point-language dataset annotation engine, a novel object-level point cloud benchmark, and a 3D multi-modality model. Users can train and evaluate models using the provided code and datasets, with a focus on improving models' understanding capabilities and facilitating the generation of 3D objects.

Flock is a workflow-based low-code platform that enables rapid development of chatbots, RAG applications, and coordination of multi-agent teams. It offers a flexible, low-code solution for orchestrating collaborative agents, supporting various node types for specific tasks, such as input processing, text generation, knowledge retrieval, tool execution, intent recognition, answer generation, and more. Flock integrates LangChain and LangGraph to provide offline operation capabilities and supports future nodes like Conditional Branch, File Upload, and Parameter Extraction for creating complex workflows. Inspired by StreetLamb, Lobe-chat, Dify, and fastgpt projects, Flock introduces new features and directions while leveraging open-source models and multi-tenancy support.

BabelDuck is a highly customizable AI oral conversation practice application for language learners at all levels, with a focus on being more beginner-friendly. It aims to minimize the threshold and mental burden of oral expression practice. The tool supports various AI conversation features such as managing multiple dialogues, customizing system prompts, and providing suggestions for grammar, translation, or expression refinement without interrupting the current conversation. Users can seek further discussion through sub-dialogues when in doubt about AI suggestions, seamlessly returning to the original conversation afterward. BabelDuck also offers voice input and output, integrates browser-built text-to-speech, and Azure TTS, and supports different dialogue preferences, data stored locally for user privacy, multilingual interface, and built-in tutorials.

LLPlayer is a specialized media player designed for language learning, offering unique features such as dual subtitles, AI-generated subtitles, real-time OCR, real-time translation, word lookup, and more. It supports multiple languages, online video playback, customizable settings, and integration with browser extensions. Written in C#/WPF, LLPlayer is free, open-source, and aims to enhance the language learning experience through innovative functionalities.

assistant-ui is a set of React components for AI chat. It provides a collection of components that can be easily integrated into projects to create AI chat interfaces for Discord, websites, and demos. The components are designed to streamline the process of setting up AI chat functionality in React applications, making it easier for developers to incorporate AI chat features into their projects.

Simulator Controller is a modular administration and controller application for Sim Racing, featuring a comprehensive plugin automation framework for external controller hardware. It includes voice chat capable Assistants like Virtual Race Engineer, Race Strategist, Race Spotter, and Driving Coach. The tool offers features for setup, strategy development, monitoring races, and more. Developed in AutoHotkey, it supports various simulation games and integrates with third-party applications for enhanced functionality.

RirikoBot is a powerful AI-powered Discord bot with features like Twitch Live Notifier, Giveaways, OpenAI, Stable Diffusion, Moderations, Anime / Manga Finder, and more. It is based on Discord.js v14 and can be hosted on a PC or a Server. Users can interact with the bot through various commands to access different functionalities.

Douyin ChatGPT Bot is an AI-driven system for automatic replies on Douyin, including comment and private message replies. It offers features such as comment filtering, customizable robot responses, and automated account management. The system aims to enhance user engagement and brand image on the Douyin platform, providing a seamless experience for managing interactions with followers and potential customers.

FridonAI is an open-source project offering AI-powered tools for cryptocurrency analysis and blockchain operations. It includes modules like FridonAnalytics for price analysis, FridonSearch for technical indicators, FridonNotifier for custom alerts, FridonBlockchain for blockchain operations, and FridonChat as a unified chat interface. The platform empowers users to create custom AI chatbots, access crypto tools, and interact effortlessly through chat. The core functionality is modular, with plugins, tools, and utilities for easy extension and development. FridonAI implements a scoring system to assess user interactions and incentivize engagement. The application uses Redis extensively for communication and includes a Nest.js backend for system operations.

RAG-Powered Odoo Documentation Assistant is a comprehensive documentation processing and chat system that converts Odoo's documentation to a searchable knowledge base with an AI-powered chat interface. It supports multiple Odoo versions (16.0, 17.0, 18.0) and provides semantic search capabilities powered by OpenAI embeddings. The tool automates the conversion of RST to Markdown, offers real-time semantic search, context-aware AI-powered chat responses, and multi-version support. It includes a Streamlit-based web UI, REST API for programmatic access, and a CLI for document processing and chat. The system operates through a pipeline of data processing steps and an interface layer for UI and API access to the knowledge base.

TypedAI is a TypeScript-first AI platform designed for developers to create and run autonomous AI agents, LLM based workflows, and chatbots. It offers advanced autonomous agents, software developer agents, pull request code review agent, AI chat interface, Slack chatbot, and supports various LLM services. The platform features configurable Human-in-the-loop settings, functional callable tools/integrations, CLI and Web UI interface, and can be run locally or deployed on the cloud with multi-user/SSO support. It leverages the Python AI ecosystem through executing Python scripts/packages and provides flexible run/deploy options like single user mode, Firestore & Cloud Run deployment, and multi-user SSO enterprise deployment. TypedAI also includes UI examples, code examples, and automated LLM function schemas for seamless development and execution of AI workflows.

BabelDuck is a highly customizable AI oral conversation practice application for language learners at all levels, with a focus on being more beginner-friendly. It aims to minimize the threshold and mental burden of oral expression practice. The tool supports various AI conversation features such as managing multiple dialogues, customizing system prompts, and providing suggestions for grammar, translation, or expression refinement without interrupting the current conversation. Users can seek further discussion through sub-dialogues when in doubt about AI suggestions, seamlessly returning to the original conversation afterward. BabelDuck also offers voice input and output, integrates browser-built text-to-speech, and Azure TTS, and supports different dialogue preferences, data stored locally for user privacy, multilingual interface, and built-in tutorials.