VimLM is an AI-powered coding assistant for Vim that integrates AI for code generation, refactoring, and documentation directly into your Vim workflow. It offers native Vim integration with split-window responses and intuitive keybindings, offline first execution with MLX-compatible models, contextual awareness with seamless integration with codebase and external resources, conversational workflow for iterating on responses, project scaffolding for generating and deploying code blocks, and extensibility for creating custom LLM workflows with command chains.

Graph-Code is an accurate Retrieval-Augmented Generation (RAG) system that analyzes multi-language codebases using Tree-sitter. It builds comprehensive knowledge graphs, enabling natural language querying of codebase structure and relationships, along with editing capabilities. The system supports various languages, uses Tree-sitter for parsing, Memgraph for storage, and AI models for natural language to Cypher translation. It offers features like code snippet retrieval, advanced file editing, shell command execution, interactive code optimization, reference-guided optimization, dependency analysis, and more. The architecture consists of a multi-language parser and an interactive CLI for querying the knowledge graph.

Ruler is a tool designed to centralize AI coding assistant instructions, providing a single source of truth for managing instructions across multiple AI coding tools. It helps in avoiding inconsistent guidance, duplicated effort, context drift, onboarding friction, and complex project structures by automatically distributing instructions to the right configuration files. With support for nested rule loading, Ruler can handle complex project structures with context-specific instructions for different components. It offers features like centralised rule management, nested rule loading, automatic distribution, targeted agent configuration, MCP server propagation, .gitignore automation, and a simple CLI for easy configuration management.

AICommit2 is a Reactive CLI tool that streamlines interactions with various AI providers such as OpenAI, Anthropic Claude, Gemini, Mistral AI, Cohere, and unofficial providers like Huggingface and Clova X. Users can request multiple AI simultaneously to generate git commit messages without waiting for all AI responses. The tool runs 'git diff' to grab code changes, sends them to configured AI, and returns the AI-generated commit message. Users can set API keys or Cookies for different providers and configure options like locale, generate number of messages, commit type, proxy, timeout, max-length, and more. AICommit2 can be used both locally with Ollama and remotely with supported providers, offering flexibility and efficiency in generating commit messages.

ONE is a modern web and AI agent development toolkit that empowers developers to build AI-powered applications with high performance, beautiful UI, AI integration, responsive design, type safety, and great developer experience. It is perfect for building modern web applications, from simple landing pages to complex AI-powered platforms.

LLM Context is a tool designed to assist developers in quickly injecting relevant content from code/text projects into Large Language Model chat interfaces. It leverages `.gitignore` patterns for smart file selection and offers a streamlined clipboard workflow using the command line. The tool also provides direct integration with Large Language Models through the Model Context Protocol (MCP). LLM Context is optimized for code repositories and collections of text/markdown/html documents, making it suitable for developers working on projects that fit within an LLM's context window. The tool is under active development and aims to enhance AI-assisted development workflows by harnessing the power of Large Language Models.

The Google Workspace MCP Server is a production-ready server that integrates major Google Workspace services with AI assistants. It supports single-user and multi-user authentication via OAuth 2.1, making it a powerful backend for custom applications. Built with FastMCP for optimal performance, it features advanced authentication handling, service caching, and streamlined development patterns. The server provides full natural language control over Google Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat through all MCP clients, AI assistants, and developer tools. It supports free Google accounts and Google Workspace plans with expanded app options like Chat & Spaces. The server also offers private cloud instance options.

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.

paperless-gpt is a tool designed to generate accurate and meaningful document titles and tags for paperless-ngx using Large Language Models (LLMs). It supports multiple LLM providers, including OpenAI and Ollama. With paperless-gpt, you can streamline your document management by automatically suggesting appropriate titles and tags based on the content of your scanned documents. The tool offers features like multiple LLM support, customizable prompts, easy integration with paperless-ngx, user-friendly interface for reviewing and applying suggestions, dockerized deployment, automatic document processing, and an experimental OCR feature.

QuantaLogic is a ReAct framework for building advanced AI agents that seamlessly integrates large language models with a robust tool system. It aims to bridge the gap between advanced AI models and practical implementation in business processes by enabling agents to understand, reason about, and execute complex tasks through natural language interaction. The framework includes features such as ReAct Framework, Universal LLM Support, Secure Tool System, Real-time Monitoring, Memory Management, and Enterprise Ready components.

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.

TermNet is an AI-powered terminal assistant that connects a Large Language Model (LLM) with shell command execution, browser search, and dynamically loaded tools. It streams responses in real-time, executes tools one at a time, and maintains conversational memory across steps. The project features terminal integration for safe shell command execution, dynamic tool loading without code changes, browser automation powered by Playwright, WebSocket architecture for real-time communication, a memory system to track planning and actions, streaming LLM output integration, a safety layer to block dangerous commands, dual interface options, a notification system, and scratchpad memory for persistent note-taking. The architecture includes a multi-server setup with servers for WebSocket, browser automation, notifications, and web UI. The project structure consists of core backend files, various tools like web browsing and notification management, and servers for browser automation and notifications. Installation requires Python 3.9+, Ollama, and Chromium, with setup steps provided in the README. The tool can be used via the launcher for managing components or directly by starting individual servers. Additional tools can be added by registering them in `toolregistry.json` and implementing them in Python modules. Safety notes highlight the blocking of dangerous commands, allowed risky commands with warnings, and the importance of monitoring tool execution and setting appropriate timeouts.

TunaCode CLI is an AI-powered coding assistant that provides a command-line interface for developers to enhance their coding experience. It offers features like model selection, parallel execution for faster file operations, and various commands for code management. The tool aims to improve coding efficiency and provide a seamless coding environment for developers.

The MCP Server for Apache Spark History Server is a tool that connects AI agents to Apache Spark History Server for intelligent job analysis and performance monitoring. It enables AI agents to analyze job performance, identify bottlenecks, and provide insights from Spark History Server data. The server bridges AI agents with existing Apache Spark infrastructure, allowing users to query job details, analyze performance metrics, compare multiple jobs, investigate failures, and generate insights from historical execution data.

MassGen is a cutting-edge multi-agent system that leverages the power of collaborative AI to solve complex tasks. It assigns a task to multiple AI agents who work in parallel, observe each other's progress, and refine their approaches to converge on the best solution to deliver a comprehensive and high-quality result. The system operates through an architecture designed for seamless multi-agent collaboration, with key features including cross-model/agent synergy, parallel processing, intelligence sharing, consensus building, and live visualization. Users can install the system, configure API settings, and run MassGen for various tasks such as question answering, creative writing, research, development & coding tasks, and web automation & browser tasks. The roadmap includes plans for advanced agent collaboration, expanded model, tool & agent integration, improved performance & scalability, enhanced developer experience, and a web interface.

OCode is a sophisticated terminal-native AI coding assistant that provides deep codebase intelligence and autonomous task execution. It seamlessly works with local Ollama models, bringing enterprise-grade AI assistance directly to your development workflow. OCode offers core capabilities such as terminal-native workflow, deep codebase intelligence, autonomous task execution, direct Ollama integration, and an extensible plugin layer. It can perform tasks like code generation & modification, project understanding, development automation, data processing, system operations, and interactive operations. The tool includes specialized tools for file operations, text processing, data processing, system operations, development tools, and integration. OCode enhances conversation parsing, offers smart tool selection, and provides performance improvements for coding tasks.

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.

AutoDev for VSCode is an AI-powered coding wizard with multilingual support, auto code generation, and a bug-slaying assistant. It offers customizable prompts and features like Auto Dev/Testing/Document/Agent. The tool aims to enhance coding productivity and efficiency by providing intelligent assistance and automation capabilities within the Visual Studio Code environment.

BIA `bob` is a Jupyter-based assistant for interacting with data using large language models to generate Python code. It can utilize OpenAI's chatGPT, Google's Gemini, Helmholtz' blablador, and Ollama. Users need respective accounts to access these services. Bob can assist in code generation, bug fixing, code documentation, GPU-acceleration, and offers a no-code custom Jupyter Kernel. It provides example notebooks for various tasks like bio-image analysis, model selection, and bug fixing. Installation is recommended via conda/mamba environment. Custom endpoints like blablador and ollama can be used. Google Cloud AI API integration is also supported. The tool is extensible for Python libraries to enhance Bob's functionality.

code2prompt is a command-line tool that converts your codebase into a single LLM prompt with a source tree, prompt templating, and token counting. It automates generating LLM prompts from codebases of any size, customizing prompt generation with Handlebars templates, respecting .gitignore, filtering and excluding files using glob patterns, displaying token count, including Git diff output, copying prompt to clipboard, saving prompt to an output file, excluding files and folders, adding line numbers to source code blocks, and more. It helps streamline the process of creating LLM prompts for code analysis, generation, and other tasks.

Fitten Code AI Programming Assistant for Neovim provides fast completion using AI, asynchronous I/O, and support for various actions like document code, edit code, explain code, find bugs, generate unit test, implement features, optimize code, refactor code, start chat, and more. It offers features like accepting suggestions with Tab, accepting line with Ctrl + Down, accepting word with Ctrl + Right, undoing accepted text, automatic scrolling, and multiple HTTP/REST backends. It can run as a coc.nvim source or nvim-cmp source.

The ChatGPT R package provides a set of features to assist in R coding. It includes addins like Ask ChatGPT, Comment selected code, Complete selected code, Create unit tests, Create variable name, Document code, Explain selected code, Find issues in the selected code, Optimize selected code, and Refactor selected code. Users can interact with ChatGPT to get code suggestions, explanations, and optimizations. The package helps in improving coding efficiency and quality by providing AI-powered assistance within the RStudio environment.

VimLM is an AI-powered coding assistant for Vim that integrates AI for code generation, refactoring, and documentation directly into your Vim workflow. It offers native Vim integration with split-window responses and intuitive keybindings, offline first execution with MLX-compatible models, contextual awareness with seamless integration with codebase and external resources, conversational workflow for iterating on responses, project scaffolding for generating and deploying code blocks, and extensibility for creating custom LLM workflows with command chains.

Jupyter MCP Server is a Model Context Protocol (MCP) server implementation that enables real-time interaction with Jupyter Notebooks. It allows AI to edit, document, and execute code for data analysis and visualization. The server offers features like real-time control, smart execution, and MCP compatibility. Users can use tools such as insert_execute_code_cell, append_markdown_cell, get_notebook_info, and read_cell for advanced interactions with Jupyter notebooks.

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.