asktube

AskTube is an AI-powered YouTube video summarizer and QA assistant that utilizes Retrieval Augmented Generation (RAG) technology. It offers a comprehensive solution with Q&A functionality and aims to provide a user-friendly experience for local machine usage. The project integrates various technologies including Python, JS, Sanic, Peewee, Pytubefix, Sentence Transformers, Sqlite, Chroma, and NuxtJs/DaisyUI. AskTube supports multiple providers for analysis, AI services, and speech-to-text conversion. The tool is designed to extract data from YouTube URLs, store embedding chapter subtitles, and facilitate interactive Q&A sessions with enriched questions. It is not intended for production use but rather for end-users on their local machines.

Local Cocoa is a privacy-focused tool that runs entirely on your device, turning files into memory to spark insights and power actions. It offers features like fully local privacy, multimodal memory, vector-powered retrieval, intelligent indexing, vision understanding, hardware acceleration, focused user experience, integrated notes, and auto-sync. The tool combines file ingestion, intelligent chunking, and local retrieval to build a private on-device knowledge system. The ultimate goal includes more connectors like Google Drive integration, voice mode for local speech-to-text interaction, and a plugin ecosystem for community tools and agents. Local Cocoa is built using Electron, React, TypeScript, FastAPI, llama.cpp, and Qdrant.

Mistral.rs is a fast LLM inference platform written in Rust. We support inference on a variety of devices, quantization, and easy-to-use application with an Open-AI API compatible HTTP server and Python bindings.

MCP for Unity is a tool that acts as a bridge, enabling AI assistants to interact with the Unity Editor via a local MCP Client. Users can instruct their LLM to manage assets, scenes, scripts, and automate tasks within Unity. The tool offers natural language control, powerful tools for asset management, scene manipulation, and automation of workflows. It is extensible and designed to work with various MCP Clients, providing a range of functions for precise text edits, script management, GameObject operations, and more.

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure, or to Replicate.

OpenWhispr is an open source desktop dictation application that converts speech to text using OpenAI Whisper. It features both local and cloud processing options for maximum flexibility and privacy. The application supports multiple AI providers, customizable hotkeys, agent naming, and various AI processing models. It offers a modern UI built with React 19, TypeScript, and Tailwind CSS v4, and is optimized for speed using Vite and modern tooling. Users can manage settings, view history, configure API keys, and download/manage local Whisper models. The application is cross-platform, supporting macOS, Windows, and Linux, and offers features like automatic pasting, draggable interface, global hotkeys, and compound hotkeys.

Osaurus is a native, Apple Silicon-only local LLM server built on Apple's MLX for maximum performance on M‑series chips. It is a SwiftUI app + SwiftNIO server with OpenAI‑compatible and Ollama‑compatible endpoints. The tool supports native MLX text generation, model management, streaming and non‑streaming chat completions, OpenAI‑compatible function calling, real-time system resource monitoring, and path normalization for API compatibility. Osaurus is designed for macOS 15.5+ and Apple Silicon (M1 or newer) with Xcode 16.4+ required for building from source.

LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron. We're releasing it with the community in the spirit of building in the open. Note that it is still very much early so don't expect 100% stability ^^' In case of problems or question, feel free to open an issue!

AI Real Estate Assistant is a modern platform that uses AI to assist real estate agencies in helping buyers and renters find their ideal properties. It features multiple AI model providers, intelligent query processing, advanced search and retrieval capabilities, and enhanced user experience. The tool is built with a FastAPI backend and Next.js frontend, offering semantic search, hybrid agent routing, and real-time analytics.

Claude Code Bridge (ccb) is a new multi-model collaboration tool that enables effective collaboration among multiple AI models in a split-pane CLI environment. It offers features like visual and controllable interface, persistent context maintenance, token savings, and native workflow integration. The tool allows users to unleash the full power of CLI by avoiding model bias, cognitive blind spots, and context limitations. It provides a new WYSIWYG solution for multi-model collaboration, making it easier to control and visualize multiple AI models simultaneously.

CrewAI-GUI is a Node-Based Frontend tool designed to revolutionize AI workflow creation. It empowers users to design complex AI agent interactions through an intuitive drag-and-drop interface, export designs to JSON for modularity and reusability, and supports both GPT-4 API and Ollama for flexible AI backend. The tool ensures cross-platform compatibility, allowing users to create AI workflows on Windows, Linux, or macOS efficiently.

Claudian is an Obsidian plugin that embeds Claude Code as an AI collaborator in your vault. It provides full agentic capabilities, including file read/write, search, bash commands, and multi-step workflows. Users can leverage Claude Code's power to interact with their vault, analyze images, edit text inline, add custom instructions, create reusable prompt templates, extend capabilities with skills and agents, connect external tools via Model Context Protocol servers, control models and thinking budget, toggle plan mode, ensure security with permission modes and vault confinement, and interact with Chrome. The plugin requires Claude Code CLI, Obsidian v1.8.9+, Claude subscription/API or custom model provider, and desktop platforms (macOS, Linux, Windows).

Agor is a multiplayer spatial canvas where you coordinate multiple AI coding assistants on parallel tasks, with GitHub-linked worktrees, automated workflow zones, and isolated test environments—all running simultaneously. It allows users to run multiple AI coding sessions, manage git worktrees, track AI conversations, and visualize team's work in real-time. Agor provides features like Agent Swarm Control, Multiplayer Spatial Canvas, Session Trees, Zone Triggers, Isolated Development Environments, Real-Time Strategy for AI Teams, and Mobile-Friendly Prompting. It is designed to streamline parallel PR workflows and enhance collaboration among AI teams.

AgentField is an open-source control plane designed for autonomous AI agents, providing infrastructure for agents to make decisions beyond chatbots. It offers features like scaling infrastructure, routing & discovery, async execution, durable state, observability, trust infrastructure with cryptographic identity, verifiable credentials, and policy enforcement. Users can write agents in Python, Go, TypeScript, or interact via REST APIs. The tool enables the creation of AI backends that reason autonomously within defined boundaries, offering predictability and flexibility. AgentField aims to bridge the gap between AI frameworks and production-ready infrastructure for AI agents.

Pake is a tool that allows users to turn any webpage into a desktop app with ease. It is lightweight, fast, and supports Mac, Windows, and Linux. Pake provides a battery-included package with shortcut pass-through, immersive windows, and minimalist customization. Users can explore popular packages like WeRead, Twitter, Grok, DeepSeek, ChatGPT, Gemini, YouTube Music, YouTube, LiZhi, ProgramMusic, Excalidraw, and XiaoHongShu. The tool is suitable for beginners, developers, and hackers, offering command-line packaging and advanced usage options. Pake is developed by a community of contributors and offers support through various channels like GitHub, Twitter, and Telegram.

Antigravity Awesome Skills is a curated library of 946+ high-performance agentic skills for AI coding assistants like Claude Code, Gemini CLI, Codex CLI, and more. It provides essential skills to transform your AI assistant into a full-stack digital agency, including capabilities from major companies like Anthropic, OpenAI, Google, and more. The repository offers a complete operating system for your AI agent, with skills organized into categories like Architecture, Business, Data & AI, Development, Security, Testing, and more. Users can easily install and use these skills to enhance their AI assistant's capabilities.

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

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.

ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.

Jupyter AI connects generative AI with Jupyter notebooks. It provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. Specifically, Jupyter AI offers: * An `%%ai` magic that turns the Jupyter notebook into a reproducible generative AI playground. This works anywhere the IPython kernel runs (JupyterLab, Jupyter Notebook, Google Colab, Kaggle, VSCode, etc.). * A native chat UI in JupyterLab that enables you to work with generative AI as a conversational assistant. * Support for a wide range of generative model providers, including AI21, Anthropic, AWS, Cohere, Gemini, Hugging Face, NVIDIA, and OpenAI. * Local model support through GPT4All, enabling use of generative AI models on consumer grade machines with ease and privacy.

Khoj is an open-source, personal AI assistant that extends your capabilities by creating always-available AI agents. You can share your notes and documents to extend your digital brain, and your AI agents have access to the internet, allowing you to incorporate real-time information. Khoj is accessible on Desktop, Emacs, Obsidian, Web, and Whatsapp, and you can share PDF, markdown, org-mode, notion files, and GitHub repositories. You'll get fast, accurate semantic search on top of your docs, and your agents can create deeply personal images and understand your speech. Khoj is self-hostable and always will be.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

Danswer is an open-source Gen-AI Chat and Unified Search tool that connects to your company's docs, apps, and people. It provides a Chat interface and plugs into any LLM of your choice. Danswer can be deployed anywhere and for any scale - on a laptop, on-premise, or to cloud. Since you own the deployment, your user data and chats are fully in your own control. Danswer is MIT licensed and designed to be modular and easily extensible. The system also comes fully ready for production usage with user authentication, role management (admin/basic users), chat persistence, and a UI for configuring Personas (AI Assistants) and their Prompts. Danswer also serves as a Unified Search across all common workplace tools such as Slack, Google Drive, Confluence, etc. By combining LLMs and team specific knowledge, Danswer becomes a subject matter expert for the team. Imagine ChatGPT if it had access to your team's unique knowledge! It enables questions such as "A customer wants feature X, is this already supported?" or "Where's the pull request for feature Y?"

Infinity is an AI-native database designed for LLM applications, providing incredibly fast full-text and vector search capabilities. It supports a wide range of data types, including vectors, full-text, and structured data, and offers a fused search feature that combines multiple embeddings and full text. Infinity is easy to use, with an intuitive Python API and a single-binary architecture that simplifies deployment. It achieves high performance, with 0.1 milliseconds query latency on million-scale vector datasets and up to 15K QPS.

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.