ANON KODE is a terminal-based AI coding tool that utilizes any model supporting the OpenAI-style API. It helps in fixing spaghetti code, explaining function behavior, running tests and shell commands, and more based on the model used. Users can easily set up models, submit bugs, and ensure data privacy with no telemetry or backend servers other than chosen AI providers.

Tiledesk-server is the server engine of Tiledesk. Tiledesk is an Open Source Live Chat platform with integrated Chatbots written in NodeJs and Express. Build your own customer support with a multi-channel platform for Web, Android and iOS. Designed to be open source since the beginning, we actively worked on it to create a totally new, first class customer service platform based on instant messaging. What is Tiledesk today? It became the open source “conversational app development” platform that everyone needs 😌 You can use Tiledesk to increase sales for your website or for post-sales customer service. Every conversation can be automated using our first class native chatbot technology. You can also connect your own applications using our APIs or Webhooks. Moreover you can deploy entire visual applications inside a conversation. And your applications can converse with your chatbots or your end-users! We know this is cool 😎 Tiledesk is multichannel in a totally new way. You can write your chatbot scripts with images, buttons and other cool elements that your channels support. But you will configureyour chatbot replies only once. They will run on every channel, auto-adapting the responses to the target channel whatever it is, Whatsapp, Facebook Messenger, Telegram etc. More info on Tiledesk website: https://www.tiledesk.com. You can find technical documentation here: https://developer.tiledesk.com

Kobold-Assistant is a fully offline voice assistant interface to KoboldAI's large language model API. It can work online with the KoboldAI horde and online speech-to-text and text-to-speech models. The assistant, called Jenny by default, uses the latest coqui 'jenny' text to speech model and openAI's whisper speech recognition. Users can customize the assistant name, speech-to-text model, text-to-speech model, and prompts through configuration. The tool requires system packages like GCC, portaudio development libraries, and ffmpeg, along with Python >=3.7, <3.11, and runs on Ubuntu/Debian systems. Users can interact with the assistant through commands like 'serve' and 'list-mics'.

Lovelaice is an AI-powered assistant for your terminal and editor. It can run bash commands, search the Internet, answer general and technical questions, complete text files, chat casually, execute code in various languages, and more. Lovelaice is configurable with API keys and LLM models, and can be used for a wide range of tasks requiring bash commands or coding assistance. It is designed to be versatile, interactive, and helpful for daily tasks and projects.

This repository provides a demo that tracks aircraft using Redis and Node.js by receiving aircraft transponder broadcasts through a software-defined radio (SDR) and storing them in Redis. The demo includes instructions for setting up the hardware and software components required for tracking aircraft. It consists of four main components: Radio Ingestor, Flight Server, Flight UI, and Redis. The Radio Ingestor captures transponder broadcasts and writes them to a Redis event stream, while the Flight Server consumes the event stream, enriches the data, and provides APIs to query aircraft status. The Flight UI presents flight data to users in map and detail views. Users can run the demo by setting up the hardware, installing SDR software, and running the components using Docker or Node.js.

This repository provides a tool for AI voice cloning, allowing users to generate synthetic speech that closely resembles a target speaker's voice. The tool is designed to be user-friendly and accessible, with a graphical user interface that guides users through the process of training a voice model and generating synthetic speech. The tool also includes a variety of features that allow users to customize the generated speech, such as the pitch, volume, and speaking rate. Overall, this tool is a valuable resource for anyone interested in creating realistic and engaging synthetic speech.

Ollama App is a modern and easy-to-use client for Ollama, allowing users to have a private experience within their local network. The app connects to an Ollama server using its API endpoint, enabling users to chat and interact with various models. It supports multimodal model input, a multilingual interface, and custom builds for personalized experiences. Users can easily set up the app, navigate through the side menu, select models, and create custom builds to tailor the app to their needs.

Zodiac is a frontend tool designed to interact with Google's Gemini Pro using vanilla JS. It provides a user-friendly interface for accessing the functionalities of Google AI Suite. The tool simplifies the process of utilizing Gemini Pro's capabilities through a straightforward web application. Users can easily integrate their API key and access various features offered by Google AI Suite. Zodiac aims to streamline the interaction with Gemini Pro and enhance the user experience by offering a simple and intuitive interface for managing AI tasks.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

ModelBench is a tool for running safety benchmarks against AI models and generating detailed reports. It is part of the MLCommons project and is designed as a proof of concept to aggregate measures, relate them to specific harms, create benchmarks, and produce reports. The tool requires LlamaGuard for evaluating responses and a TogetherAI account for running benchmarks. Users can install ModelBench from GitHub or PyPI, run tests using Poetry, and create benchmarks by providing necessary API keys. The tool generates static HTML pages displaying benchmark scores and allows users to dump raw scores and manage cache for faster runs. ModelBench is aimed at enabling users to test their own models and create tests and benchmarks.

Concierge is a versatile automation tool designed to streamline repetitive tasks and workflows. It provides a user-friendly interface for creating custom automation scripts without the need for extensive coding knowledge. With Concierge, users can automate various tasks across different platforms and applications, increasing efficiency and productivity. The tool offers a wide range of pre-built automation templates and allows users to customize and schedule their automation processes. Concierge is suitable for individuals and businesses looking to automate routine tasks and improve overall workflow efficiency.

GLaDOS Personality Core is a project dedicated to building a real-life version of GLaDOS, an aware, interactive, and embodied AI system. The project aims to train GLaDOS voice generator, create a 'Personality Core,' develop medium- and long-term memory, provide vision capabilities, design 3D-printable parts, and build an animatronics system. The software architecture focuses on low-latency voice interactions and minimal dependencies. The hardware system includes servo- and stepper-motors, 3D printable parts for GLaDOS's body, animations for expression, and a vision system for tracking and interaction. Installation instructions involve setting up a local LLM server, installing drivers, and running GLaDOS on different operating systems.

AgentStack is a command-line tool that helps users create AI agent projects quickly and efficiently. It offers CLI utilities for code generation and simplifies the process of building agents and tasks. The tool is designed to work on macOS, Windows, and Linux, providing a seamless experience for developers. AgentStack aims to streamline the development process by offering pre-built templates, easy access to tools, and a curated experience on top of popular agent frameworks and LLM providers. It is not a low-code solution but rather a head-start for starting agent projects from scratch.

Lumigator is an open-source platform developed by Mozilla.ai to help users select the most suitable language model for their specific needs. It supports the evaluation of summarization tasks using sequence-to-sequence models such as BART and BERT, as well as causal models like GPT and Mistral. The platform aims to make model selection transparent, efficient, and empowering by providing a framework for comparing LLMs using task-specific metrics to evaluate how well a model fits a project's needs. Lumigator is in the early stages of development and plans to expand support to additional machine learning tasks and use cases in the future.

Mentat is an AI tool designed to assist with coding tasks directly from the command line. It combines human creativity with computer-like processing to help users understand new codebases, add new features, and refactor existing code. Unlike other tools, Mentat coordinates edits across multiple locations and files, with the context of the project already in mind. The tool aims to enhance the coding experience by providing seamless assistance and improving edit quality.

LLMap is a CLI code search tool designed to automatically find context in large codebases by evaluating the relevance of each source file using DeepSeek-V3 and DeepSeek-R1. It optimizes analysis by performing multi-stage analysis and caching results for faster searches. Currently supports Java and Python files, with potential for extension to other languages. Install with 'pip install llmap-ai' and use with a DeepSeek API key to search for specific context in code.

GhidrOllama is a script that interacts with Ollama's API to perform various reverse engineering tasks within Ghidra. It supports both local and remote instances of Ollama, providing functionalities like explaining functions, suggesting names, rewriting functions, finding bugs, and automating analysis of specific functions in binaries. Users can ask questions about functions, find vulnerabilities, and receive explanations of assembly instructions. The script bridges the gap between Ghidra and Ollama models, enhancing reverse engineering capabilities.

ANON KODE is a terminal-based AI coding tool that utilizes any model supporting the OpenAI-style API. It helps in fixing spaghetti code, explaining function behavior, running tests and shell commands, and more based on the model used. Users can easily set up models, submit bugs, and ensure data privacy with no telemetry or backend servers other than chosen AI providers.

Cody is a free, open-source AI coding assistant that can write and fix code, provide AI-generated autocomplete, and answer your coding questions. Cody fetches relevant code context from across your entire codebase to write better code that uses more of your codebase's APIs, impls, and idioms, with less hallucination.

Sourcegraph is a tool that simplifies reading, writing, and fixing code in large and complex codebases. It offers features such as code search across repositories and hosts, code intelligence for navigation and references, and the ability to roll out large-scale changes and track migrations. Sourcegraph can be used on the cloud or self-hosted, with public code search available on Sourcegraph.com. The tool provides high-level architecture documentation, database setup best practices, Go and documentation style guides, tips for modifying the GraphQL API, and guidelines for contributing.

Dash AI is an open-source coding assistant for Flutter developers. It is designed to not only write code but also run and debug it, allowing it to assist beyond code completion and automate routine tasks. Dash AI is powered by Gemini, integrated with the Dart Analyzer, and specifically tailored for Flutter engineers. The vision for Dash AI is to create a single-command assistant that can automate tedious development tasks, enabling developers to focus on creativity and innovation. It aims to assist with the entire process of engineering a feature for an app, from breaking down the task into steps to generating exploratory tests and iterating on the code until the feature is complete. To achieve this vision, Dash AI is working on providing LLMs with the same access and information that human developers have, including full contextual knowledge, the latest syntax and dependencies data, and the ability to write, run, and debug code. Dash AI welcomes contributions from the community, including feature requests, issue fixes, and participation in discussions. The project is committed to building a coding assistant that empowers all Flutter developers.

Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It facilitates communication with the Ollama server and provides models for deployment. The tool requires Java 11 or higher and can be installed locally or via Docker. Users can integrate Ollama4j into Maven projects by adding the specified dependency. The tool offers API specifications and supports various development tasks such as building, running unit tests, and integration tests. Releases are automated through GitHub Actions CI workflow. Areas of improvement include adhering to Java naming conventions, updating deprecated code, implementing logging, using lombok, and enhancing request body creation. Contributions to the project are encouraged, whether reporting bugs, suggesting enhancements, or contributing code.

The crewAI Tools repository provides a guide for setting up tools for crewAI agents, enabling the creation of custom tools to enhance AI solutions. Tools play a crucial role in improving agent functionality. The guide explains how to equip agents with a range of tools and how to create new tools. Tools are designed to return strings for generating responses. There are two main methods for creating tools: subclassing BaseTool and using the tool decorator. Contributions to the toolset are encouraged, and the development setup includes steps for installing dependencies, activating the virtual environment, setting up pre-commit hooks, running tests, static type checking, packaging, and local installation. Enhance AI agent capabilities with advanced tooling.

Lightning Lab is a public template for artificial intelligence and machine learning research projects using Lightning AI's PyTorch Lightning. It provides a structured project layout with modules for command line interface, experiment utilities, Lightning Module and Trainer, data acquisition and preprocessing, model serving APIs, project configurations, training checkpoints, technical documentation, logs, notebooks for data analysis, requirements management, testing, and packaging. The template simplifies the setup of deep learning projects and offers extras for different domains like vision, text, audio, reinforcement learning, and forecasting.

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.