HIA (Health Insights Agent) is an AI agent designed to analyze blood reports and provide personalized health insights. It features an intelligent agent-based architecture with multi-model cascade system, in-context learning, PDF upload and text extraction, secure user authentication, session history tracking, and a modern UI. The tech stack includes Streamlit for frontend, Groq for AI integration, Supabase for database, PDFPlumber for PDF processing, and Supabase Auth for authentication. The project structure includes components for authentication, UI, configuration, services, agents, and utilities. Contributions are welcome, and the project is licensed under MIT.

Claude Code Mastery is a comprehensive tool for maximizing Claude Code, offering a production-ready project template with 16 slash commands, deterministic hook enforcement, MongoDB wrapper, live AI monitoring, and three-layer security. It provides a security gatekeeper, project scaffolding blueprint, MCP server integration, workflow automation through custom commands, and emphasizes the importance of single-purpose chats to avoid performance degradation.

Kubeli is a modern, beautiful Kubernetes management desktop application with real-time monitoring, terminal access, and a polished user experience. It offers features like multi-cluster support, real-time updates, resource browser, pod logs streaming, terminal access, port forwarding, metrics dashboard, YAML editor, AI assistant, MCP server, Helm releases management, proxy support, internationalization, and dark/light mode. The tech stack includes Vite, React 19, TypeScript, Tailwind CSS 4 for frontend, Tauri 2.0 (Rust) for desktop, kube-rs with k8s-openapi v1.32 for K8s client, Zustand for state management, Radix UI and Lucide Icons for UI components, Monaco Editor for editing, XTerm.js for terminal, and uPlot for charts.

LinJun is a native desktop application for managing CLIProxyAPIPlus, a local proxy server that powers AI coding agents. It helps manage multiple AI accounts, track quotas, and configure CLI tools across macOS, Windows, and Linux. The tool offers features like expanded provider support, quota and model visibility, provider-aware model filtering, large log performance, one-click agent configuration, live dashboard monitoring, smart routing, API key management, system tray integration, and multilingual support. It supports various AI providers and compatible CLI agents, and provides installation instructions, usage guidelines, screenshots, settings customization, architecture overview, tech stack details, token storage information, FAQs, contribution guidelines, and license details.

SpecWeave is a spec-driven Skill Fabric for AI coding agents that allows programming AI in English. It provides first-class support for Claude Code and offers reusable logic for controlling AI behavior. With over 100 skills out of the box, SpecWeave eliminates the need to learn Claude Code docs and handles various aspects of feature development. The tool enables users to describe what they want, and SpecWeave autonomously executes tasks, including writing code, running tests, and syncing to GitHub/JIRA. It supports solo developers, agent teams working in parallel, and brownfield projects, offering file-based coordination, autonomous teams, and enterprise-ready features. SpecWeave also integrates LSP Code Intelligence for semantic understanding of codebases and allows for extensible skills without forking.

LLM4S provides a simple, robust, and scalable framework for building Large Language Models (LLM) applications in Scala. It aims to leverage Scala's type safety, functional programming, JVM ecosystem, concurrency, and performance advantages to create reliable and maintainable AI-powered applications. The framework supports multi-provider integration, execution environments, error handling, Model Context Protocol (MCP) support, agent frameworks, multimodal generation, and Retrieval-Augmented Generation (RAG) workflows. It also offers observability features like detailed trace logging, monitoring, and analytics for debugging and performance insights.

Multi-agent RALPH (Reinforcement Learning with Probabilistic Hierarchies) Loop is a framework for multi-agent reinforcement learning research. It provides a flexible and extensible platform for developing and testing multi-agent reinforcement learning algorithms. The framework supports various environments, including grid-world environments, and allows users to easily define custom environments. Multi-agent RALPH Loop is designed to facilitate research in the field of multi-agent reinforcement learning by providing a set of tools and utilities for experimenting with different algorithms and scenarios.

Rho is an AI agent that runs on macOS, Linux, and Android, staying active, remembering past interactions, and checking in autonomously. It operates without cloud storage, allowing users to retain ownership of their data. Users can bring their own LLM provider and have full control over the agent's functionalities. Rho is built on the pi coding agent framework, offering features like persistent memory, scheduled tasks, and real email capabilities. The agent can be customized through checklists, scheduled triggers, and personalized voice and identity settings. Skills and extensions enhance the agent's capabilities, providing tools for notifications, clipboard management, text-to-speech, and more. Users can interact with Rho through commands and scripts, enabling tasks like checking status, triggering actions, and managing preferences.

Edit Banana is a universal content re-editor that allows users to transform fixed content into fully manipulatable assets. Powered by SAM 3 and multimodal large models, it enables high-fidelity reconstruction while preserving original diagram details and logical relationships. The platform offers advanced segmentation, fixed multi-round VLM scanning, high-quality OCR, user system with credits, multi-user concurrency, and a web interface. Users can upload images or PDFs to get editable DrawIO (XML) or PPTX files in seconds. The project structure includes components for segmentation, text extraction, frontend, models, and scripts, with detailed installation and setup instructions provided. The tool is open-source under the Apache License 2.0, allowing commercial use and secondary development.

Agentic InfraOps is a multi-agent orchestration system for Azure infrastructure development that transforms how you build Azure infrastructure with AI agents. It provides a structured 7-step workflow that coordinates specialized AI agents through a complete infrastructure development cycle: Requirements → Architecture → Design → Plan → Code → Deploy → Documentation. The system enforces Azure Well-Architected Framework (WAF) alignment and Azure Verified Modules (AVM) at every phase, combining the speed of AI coding with best practices in cloud engineering.

One source of truth for AI CLI skills. Sync everywhere with one command — from personal to organization-wide. Stop managing skills tool-by-tool. `skillshare` gives you one shared skill source and pushes it everywhere your AI agents work. Safe by default with non-destructive merge mode. True bidirectional flow with `collect`. Cross-machine ready with Git-native `push`/`pull`. Team + project friendly with global skills for personal workflows and repo-scoped collaboration. Visual control panel with `skillshare ui` for browsing, install, target management, and sync status in one place.

SG-Nav is an online 3D scene graph prompting tool designed for LLM-based zero-shot object navigation. It proposes a framework that constructs an online 3D scene graph to prompt LLMs, allowing direct application to various scenes and categories without the need for training.

vnc-lm is a Discord bot designed for messaging with language models. Users can configure model parameters, branch conversations, and edit prompts to enhance responses. The bot supports various providers like OpenAI, Huggingface, and Cloudflare Workers AI. It integrates with ollama and LiteLLM, allowing users to access a wide range of language model APIs through a single interface. Users can manage models, switch between models, split long messages, and create conversation branches. LiteLLM integration enables support for OpenAI-compatible APIs and local LLM services. The bot requires Docker for installation and can be configured through environment variables. Troubleshooting tips are provided for common issues like context window problems, Discord API errors, and LiteLLM issues.

Claude Container is a Docker container pre-installed with Claude Code, providing an isolated environment for running Claude Code with optional API request logging in a local SQLite database. It includes three images: main container with Claude Code CLI, optional HTTP proxy for logging requests, and a web UI for visualizing and querying logs. The tool offers compatibility with different versions of Claude Code, quick start guides using a helper script or Docker Compose, authentication process, integration with existing projects, API request logging proxy setup, and data visualization with Datasette.

Claude Craft is a comprehensive framework for AI-assisted development with Claude Code, providing standardized rules, agents, and commands across multiple technology stacks. It includes autonomous sprint capabilities, documentation accuracy improvements, CI hardening, and test coverage enhancements. With support for 10 technology stacks, 5 languages, 40 AI agents, 157 slash commands, and various project management features like BMAD v6 framework, Ralph Wiggum loop execution, skills, templates, checklists, and hooks system, Claude Craft offers a robust solution for project development and management. The tool also supports workflow methodology, development tracks, document generation, BMAD v6 project management, quality gates, batch processing, backlog migration, and Claude Code hooks integration.

HIA (Health Insights Agent) is an AI agent designed to analyze blood reports and provide personalized health insights. It features an intelligent agent-based architecture with multi-model cascade system, in-context learning, PDF upload and text extraction, secure user authentication, session history tracking, and a modern UI. The tech stack includes Streamlit for frontend, Groq for AI integration, Supabase for database, PDFPlumber for PDF processing, and Supabase Auth for authentication. The project structure includes components for authentication, UI, configuration, services, agents, and utilities. Contributions are welcome, and the project is licensed under MIT.

This repository contains shared codebase for two projects: gcloud-aio and gcloud-rest. gcloud-aio is built for Python 3's asyncio, while gcloud-rest is a threadsafe requests-based implementation. It provides clients for Google Cloud services like Auth, BigQuery, Datastore, KMS, PubSub, Storage, and Task Queue. Users can install the library using pip and refer to the documentation for usage details. Developers can contribute to the project by following the contribution guide.

Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.

aiohttp_security is a library that provides identity and authorization for aiohttp.web. It offers features for handling authorization via cookies and supports aiohttp-session. The library includes examples for basic usage and database authentication, along with demos in the demo directory. For development, the library requires installation of specific requirements listed in the requirements-dev.txt file. aiohttp_security is licensed under the Apache 2 license.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

This is the official Clarifai gRPC Python client for interacting with their recognition API. Clarifai offers a platform for data scientists, developers, researchers, and enterprises to utilize artificial intelligence for image, video, and text analysis through computer vision and natural language processing. The client allows users to authenticate, predict concepts in images, and access various functionalities provided by the Clarifai API. It follows a versioning scheme that aligns with the backend API updates and includes specific instructions for installation and troubleshooting. Users can explore the Clarifai demo, sign up for an account, and refer to the documentation for detailed information.

Gemini ChatUp is a chat application utilizing the Google GeminiPro API Key. It supports responsive layout and can store multiple sets of conversations with customizable parameters for each set. Users can log in with a test account or provide their own API Key to deploy the feature. The application also offers user authentication through Edge config in Vercel, allowing users to add usernames and passwords in JSON format. Local deployment is possible by installing dependencies, setting up environment variables, and running the application locally.

The serverless-pdf-chat repository contains a sample application that allows users to ask natural language questions of any PDF document they upload. It leverages serverless services like Amazon Bedrock, AWS Lambda, and Amazon DynamoDB to provide text generation and analysis capabilities. The application architecture involves uploading a PDF document to an S3 bucket, extracting metadata, converting text to vectors, and using a LangChain to search for information related to user prompts. The application is not intended for production use and serves as a demonstration and educational tool.

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.