Qbot is an open-source project designed to help users quickly build their own QQ chatbot. The bot deployed using this project has various capabilities, including intelligent sentence segmentation, intent recognition, voice and drawing replies, autonomous selection of when to play local music, and decision-making on sending emojis. Qbot leverages other open-source projects and allows users to customize triggers, system prompts, chat models, and more through configuration files. Users can modify the Qbot.py source code to tailor the bot's behavior. The project requires NTQQ and LLonebot's NTQQ plugin for deployment, along with additional configurations for triggers, system prompts, and chat models. Users can start the bot by running Qbot.py after installing necessary libraries and ensuring the NTQQ is running. Qbot also supports features like sending music from the data/smusic folder and emojis based on emotions. Local voice synthesis can be deployed for voice outputs. Qbot provides commands like #reset to clear short-term memory and addresses common issues like program crashes due to encoding format, message sending/receiving failures, voice synthesis failures, and connection issues. Users are encouraged to give the project a star if they find it useful.

astrsk is a tool that pushes the boundaries of AI storytelling by offering advanced AI agents, customizable response formatting, and flexible prompt editing for immersive roleplaying experiences. It provides complete AI agent control, a visual flow editor for conversation flows, and ensures 100% local-first data storage. The tool is true cross-platform with support for various AI providers and modern technologies like React, TypeScript, and Tailwind CSS. Coming soon features include cross-device sync, enhanced session customization, and community features.

Conduit is an open-source, cross-platform mobile application for Open-WebUI, providing a native mobile experience for interacting with your self-hosted AI infrastructure. It supports real-time chat, model selection, conversation management, markdown rendering, theme support, voice input, file uploads, multi-modal support, secure storage, folder management, and tools invocation. Conduit offers multiple authentication flows and follows a clean architecture pattern with Riverpod for state management, Dio for HTTP networking, WebSocket for real-time streaming, and Flutter Secure Storage for credential management.

Screenpipe is an open source application that turns your computer into a personal AI, capturing screen and audio to create a searchable memory of your activities. It allows you to remember everything, search with AI, and keep your data 100% local. The tool is designed for knowledge workers, developers, researchers, people with ADHD, remote workers, and anyone looking for a private, local-first alternative to cloud-based AI memory tools.

ccprompts is a collection of ~70 Claude Code commands for software development workflows with agent generation capabilities. It includes safety validation and can be used directly with Claude Code or adapted for specific needs. The agent template system provides a wizard for creating specialized sub-agents (e.g., security auditors, systems architects) with standardized formatting and proper tool access. The repository is under active development, so caution is advised when using it in production environments.

Chitu is a high-performance inference framework for large language models, focusing on efficiency, flexibility, and availability. It supports various mainstream large language models, including DeepSeek, LLaMA series, Mixtral, and more. Chitu integrates latest optimizations for large language models, provides efficient operators with online FP8 to BF16 conversion, and is deployed for real-world production. The framework is versatile, supporting various hardware environments beyond NVIDIA GPUs. Chitu aims to enhance output speed per unit computing power, especially in decoding processes dependent on memory bandwidth.

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.

LlamaBot is an open-source AI coding agent that rapidly builds MVPs, prototypes, and internal tools. It works for non-technical founders, product teams, and engineers by generating working prototypes, embedding AI directly into the app, and running real workflows. Unlike typical codegen tools, LlamaBot can embed directly in your app and run real workflows, making it ideal for collaborative software building where founders guide the vision, engineers stay in control, and AI fills the gap. LlamaBot is built for moving ideas fast, allowing users to prototype an AI MVP in a weekend, experiment with workflows, and collaborate with teammates to bridge the gap between non-technical founders and engineering teams.

OpenManus is an open-source project aiming to replicate the capabilities of the Manus AI agent, known for autonomously executing complex tasks like travel planning and stock analysis. The project provides a modular, containerized framework using Docker, Python, and JavaScript, allowing developers to build, deploy, and experiment with a multi-agent AI system. Features include collaborative AI agents, Dockerized environment, task execution support, tool integration, modular design, and community-driven development. Users can interact with OpenManus via CLI, API, or web UI, and the project welcomes contributions to enhance its capabilities.

Trellis is an all-in-one AI framework and toolkit designed for Claude Code, Cursor, and iFlow. It offers features such as auto-injection of required specs and workflows, auto-updated spec library, parallel sessions for running multiple agents simultaneously, team sync for sharing specs, and session persistence. Trellis helps users educate their AI, work on multiple features in parallel, define custom workflows, and provides a structured project environment with workflow guides, spec library, personal journal, task management, and utilities. The tool aims to enhance code review, introduce skill packs, integrate with broader tools, improve session continuity, and visualize progress for each agent.

AI Flow is an open-source, user-friendly UI application that empowers you to seamlessly connect multiple AI models together, specifically leveraging the capabilities of multiples AI APIs such as OpenAI, StabilityAI and Replicate. In a nutshell, AI Flow provides a visual platform for crafting and managing AI-driven workflows, thereby facilitating diverse and dynamic AI interactions.

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.

Alice is an open-source AI companion designed to live on your desktop, providing voice interaction, intelligent context awareness, and powerful tooling. More than a chatbot, Alice is emotionally engaging and deeply useful, assisting with daily tasks and creative work. Key features include voice interaction with natural-sounding responses, memory and context management, vision and visual output capabilities, computer use tools, function calling for web search and task scheduling, wake word support, dedicated Chrome extension, and flexible settings interface. Technologies used include Vue.js, Electron, OpenAI, Go, hnswlib-node, and more. Alice is customizable and offers a dedicated Chrome extension, wake word support, and various tools for computer use and productivity tasks.

Replexica is an i18n toolkit for React, to ship multi-language apps fast. It doesn't require extracting text into JSON files, and uses AI-powered API for content processing. It comes in two parts: 1. Replexica Compiler - an open-source compiler plugin for React; 2. Replexica API - an i18n API in the cloud that performs translations using LLMs. (Usage based, has a free tier.) Replexica supports several i18n formats: 1. JSON-free Replexica compiler format; 2. .md files for Markdown content; 3. Legacy JSON and YAML-based formats.

OpenOutreach is a self-hosted, open-source LinkedIn automation tool designed for B2B lead generation. It automates the entire outreach process in a stealthy, human-like way by discovering and enriching target profiles, ranking profiles using ML for smart prioritization, sending personalized connection requests, following up with custom messages after acceptance, and tracking everything in a built-in CRM with web UI. It offers features like undetectable behavior, fully customizable Python-based campaigns, local execution with CRM, easy deployment with Docker, and AI-ready templating for hyper-personalized messages.

DeepSeekAI is a browser extension plugin that allows users to interact with AI by selecting text on web pages and invoking the DeepSeek large model to provide AI responses. The extension enhances browsing experience by enabling users to get summaries or answers for selected text directly on the webpage. It features context text selection, API key integration, draggable and resizable window, AI streaming replies, Markdown rendering, one-click copy, re-answer option, code copy functionality, language switching, and multi-turn dialogue support. Users can install the extension from Chrome Web Store or Edge Add-ons, or manually clone the repository, install dependencies, and build the extension. Configuration involves entering the DeepSeek API key in the extension popup window to start using the AI-driven responses.

aiwechat-vercel is a tool that integrates AI capabilities into WeChat public accounts using Vercel functions. It requires minimal server setup, low entry barriers, and only needs a domain name that can be bound to Vercel, with almost zero cost. The tool supports various AI models, continuous Q&A sessions, chat functionality, system prompts, and custom commands. It aims to provide a platform for learning and experimentation with AI integration in WeChat public accounts.

Qbot is an open-source project designed to help users quickly build their own QQ chatbot. The bot deployed using this project has various capabilities, including intelligent sentence segmentation, intent recognition, voice and drawing replies, autonomous selection of when to play local music, and decision-making on sending emojis. Qbot leverages other open-source projects and allows users to customize triggers, system prompts, chat models, and more through configuration files. Users can modify the Qbot.py source code to tailor the bot's behavior. The project requires NTQQ and LLonebot's NTQQ plugin for deployment, along with additional configurations for triggers, system prompts, and chat models. Users can start the bot by running Qbot.py after installing necessary libraries and ensuring the NTQQ is running. Qbot also supports features like sending music from the data/smusic folder and emojis based on emotions. Local voice synthesis can be deployed for voice outputs. Qbot provides commands like #reset to clear short-term memory and addresses common issues like program crashes due to encoding format, message sending/receiving failures, voice synthesis failures, and connection issues. Users are encouraged to give the project a star if they find it useful.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

Unsloth is a tool that allows users to fine-tune large language models (LLMs) 2-5x faster with 80% less memory. It is a free and open-source tool that can be used to fine-tune LLMs such as Gemma, Mistral, Llama 2-5, TinyLlama, and CodeLlama 34b. Unsloth supports 4-bit and 16-bit QLoRA / LoRA fine-tuning via bitsandbytes. It also supports DPO (Direct Preference Optimization), PPO, and Reward Modelling. Unsloth is compatible with Hugging Face's TRL, Trainer, Seq2SeqTrainer, and Pytorch code. It is also compatible with NVIDIA GPUs since 2018+ (minimum CUDA Capability 7.0).

Beyond LLM offers an all-in-one toolkit for experimentation, evaluation, and deployment of Retrieval-Augmented Generation (RAG) systems. It simplifies the process with automated integration, customizable evaluation metrics, and support for various Large Language Models (LLMs) tailored to specific needs. The aim is to reduce LLM hallucination risks and enhance reliability.

Unofficial HuggingChat Python API for creating chatbots, supporting features like image generation, web search, memorizing context, and changing LLMs. Users can log in, chat with the ChatBot, perform web searches, create new conversations, manage conversations, switch models, get conversation info, use assistants, and delete conversations. The API also includes a CLI mode with various commands for interacting with the tool. Users are advised not to use the application for high-stakes decisions or advice and to avoid high-frequency requests to preserve server resources.

Microchain is a function calling-based LLM agents tool with no bloat. It allows users to define LLM and templates, use various functions like Sum and Product, and create LLM agents for specific tasks. The tool provides a simple and efficient way to interact with OpenAI models and create conversational agents for various applications.

Embedchain is an Open Source Framework for personalizing LLM responses. It simplifies the creation and deployment of personalized AI applications by efficiently managing unstructured data, generating relevant embeddings, and storing them in a vector database. With diverse APIs, users can extract contextual information, find precise answers, and engage in interactive chat conversations tailored to their data. The framework follows the design principle of being 'Conventional but Configurable' to cater to both software engineers and machine learning engineers.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.