JADX-MCP-SERVER is a standalone Python server that interacts with JADX-AI-MCP Plugin to analyze Android APKs using LLMs like Claude. It enables live communication with decompiled Android app context, uncovering vulnerabilities, parsing manifests, and facilitating reverse engineering effortlessly. The tool combines JADX-AI-MCP and JADX MCP SERVER to provide real-time reverse engineering support with LLMs, offering features like quick analysis, vulnerability detection, AI code modification, static analysis, and reverse engineering helpers. It supports various MCP tools for fetching class information, text, methods, fields, smali code, AndroidManifest.xml content, strings.xml file, resource files, and more. Tested on Claude Desktop, it aims to support other LLMs in the future, enhancing Android reverse engineering and APK modification tools connectivity for easier reverse engineering purely from vibes.

JADX-AI-MCP is a plugin for the JADX decompiler that integrates with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. It allows for quick analysis, vulnerability detection, and AI code modification, all in real time. The tool combines JADX-AI-MCP and JADX MCP SERVER to analyze Android APKs effortlessly. It offers various prompts for code understanding, vulnerability detection, reverse engineering helpers, static analysis, AI code modification, and documentation. The tool is part of the Zin MCP Suite and aims to connect all android reverse engineering and APK modification tools with a single MCP server for easy reverse engineering of APK files.

Koog is a Kotlin-based framework for building and running AI agents entirely in idiomatic Kotlin. It allows users to create agents that interact with tools, handle complex workflows, and communicate with users. Key features include pure Kotlin implementation, MCP integration, embedding capabilities, custom tool creation, ready-to-use components, intelligent history compression, powerful streaming API, persistent agent memory, comprehensive tracing, flexible graph workflows, modular feature system, scalable architecture, and multiplatform support.

AIaW is a next-generation LLM client with full functionality, lightweight, and extensible. It supports various basic functions such as streaming transfer, image uploading, and latex formulas. The tool is cross-platform with a responsive interface design. It supports multiple service providers like OpenAI, Anthropic, and Google. Users can modify questions, regenerate in a forked manner, and visualize conversations in a tree structure. Additionally, it offers features like file parsing, video parsing, plugin system, assistant market, local storage with real-time cloud sync, and customizable interface themes. Users can create multiple workspaces, use dynamic prompt word variables, extend plugins, and benefit from detailed design elements like real-time content preview, optimized code pasting, and support for various file types.

TraceRoot is a tool that helps engineers debug production issues 10× faster using AI-powered analysis of traces, logs, and code context. It accelerates the debugging process with AI-powered insights, integrates seamlessly into the development workflow, provides real-time trace and log analysis, code context understanding, and intelligent assistance. Features include ease of use, LLM flexibility, distributed services, AI debugging interface, and integration support. Users can get started with TraceRoot Cloud for a 7-day trial or self-host the tool. SDKs are available for Python and JavaScript/TypeScript.

hyper-mcp is a fast and secure MCP server that enables adding AI capabilities to applications through WebAssembly plugins. It supports writing plugins in various languages, distributing them via standard OCI registries, and running them in resource-constrained environments. The tool offers sandboxing with WASM for limiting access, cross-platform compatibility, and deployment flexibility. Security features include sandboxed plugins, memory-safe execution, secure plugin distribution, and fine-grained access control. Users can configure the tool for global or project-specific use, start the server with different transport options, and utilize available plugins for tasks like time calculations, QR code generation, hash generation, IP retrieval, and webpage fetching.

Gonzo is a powerful, real-time log analysis terminal UI tool inspired by k9s. It allows users to analyze log streams with beautiful charts, AI-powered insights, and advanced filtering directly from the terminal. The tool provides features like live streaming log processing, OTLP support, interactive dashboard with real-time charts, advanced filtering options including regex support, and AI-powered insights such as pattern detection, anomaly analysis, and root cause suggestions. Users can also configure AI models from providers like OpenAI, LM Studio, and Ollama for intelligent log analysis. Gonzo is built with Bubble Tea, Lipgloss, Cobra, Viper, and OpenTelemetry, following a clean architecture with separate modules for TUI, log analysis, frequency tracking, OTLP handling, and AI integration.

Nvim-aider is a plugin for Neovim that provides additional functionality and key mappings to enhance the user's editing experience. It offers features such as code navigation, quick access to commonly used commands, and improved text manipulation tools. With Nvim-aider, users can streamline their workflow and increase productivity while working with Neovim.

Strands Agents Tools is a community-driven project that provides a powerful set of tools for your agents to use. It bridges the gap between large language models and practical applications by offering ready-to-use tools for file operations, system execution, API interactions, mathematical operations, and more. The tools cover a wide range of functionalities including file operations, shell integration, memory storage, web infrastructure, HTTP client, Slack client, Python execution, mathematical tools, AWS integration, image and video processing, audio output, environment management, task scheduling, advanced reasoning, swarm intelligence, dynamic MCP client, parallel tool execution, browser automation, diagram creation, RSS feed management, and computer automation.

GEN-AI is a versatile Python library for implementing various artificial intelligence algorithms and models. It provides a wide range of tools and functionalities to support machine learning, deep learning, natural language processing, computer vision, and reinforcement learning tasks. With GEN-AI, users can easily build, train, and deploy AI models for diverse applications such as image recognition, text classification, sentiment analysis, object detection, and game playing. The library is designed to be user-friendly, efficient, and scalable, making it suitable for both beginners and experienced AI practitioners.

PAIML MCP Agent Toolkit (PMAT) is a zero-configuration AI context generation system with extreme quality enforcement and Toyota Way standards. It allows users to analyze any codebase instantly through CLI, MCP, or HTTP interfaces. The toolkit provides features such as technical debt analysis, advanced monitoring, metrics aggregation, performance profiling, bottleneck detection, alert system, multi-format export, storage flexibility, and more. It also offers AI-powered intelligence for smart recommendations, polyglot analysis, repository showcase, and integration points. PMAT enforces quality standards like complexity ≤20, zero SATD comments, test coverage >80%, no lint warnings, and synchronized documentation with commits. The toolkit follows Toyota Way development principles for iterative improvement, direct AST traversal, automated quality gates, and zero SATD policy.

AI Manus is a general-purpose AI Agent system that supports running various tools and operations in a sandbox environment. It offers deployment with minimal dependencies, supports multiple tools like Terminal, Browser, File, Web Search, and messaging tools, allocates separate sandboxes for tasks, manages session history, supports stopping and interrupting conversations, file upload and download, and is multilingual. The system also provides user login and authentication. The project primarily relies on Docker for development and deployment, with model capability requirements and recommended Deepseek and GPT models.

Cedar OS is an open-source framework that bridges the gap between AI agents and React applications, enabling the creation of AI-native applications where agents can interact with the application state like users. It focuses on providing intuitive and powerful ways for humans to interact with AI through features like full state integration, real-time streaming, voice-first design, and flexible architecture. Cedar OS offers production-ready chat components, agentic state management, context-aware mentions, voice integration, spells & quick actions, and fully customizable UI. It differentiates itself by offering a true AI-native architecture, developer-first experience, production-ready features, and extensibility. Built with TypeScript support, Cedar OS is designed for developers working on ambitious AI-native applications.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

Laminar is an all-in-one open-source platform designed for engineering AI products. It allows users to trace, evaluate, label, and analyze LLM data efficiently. The platform offers features such as automatic tracing of common AI frameworks and SDKs, local and online evaluations, simple UI for data labeling, dataset management, and scalability with gRPC communication. Laminar is built with a modern open-source stack including RabbitMQ, Postgres, Clickhouse, and Qdrant for semantic similarity search. It provides fast and beautiful dashboards for traces, evaluations, and labels, making it a comprehensive tool for AI product development.

Panda is a proactive, on-device AI agent for Android that autonomously understands natural language commands and operates your phone's UI to achieve them. It acts as a personal operator, handling complex, multi-step tasks across different applications. With intelligent UI automation, high-quality voice, and personalized local memory, Panda simplifies interactions with technology. Built on Kotlin, Panda's architecture includes Eyes & Hands for physical device connection, The Brain for reasoning, and The Agent for execution. The project is a proof-of-concept aiming to become an indispensable assistant.

JADX-MCP-SERVER is a standalone Python server that interacts with JADX-AI-MCP Plugin to analyze Android APKs using LLMs like Claude. It enables live communication with decompiled Android app context, uncovering vulnerabilities, parsing manifests, and facilitating reverse engineering effortlessly. The tool combines JADX-AI-MCP and JADX MCP SERVER to provide real-time reverse engineering support with LLMs, offering features like quick analysis, vulnerability detection, AI code modification, static analysis, and reverse engineering helpers. It supports various MCP tools for fetching class information, text, methods, fields, smali code, AndroidManifest.xml content, strings.xml file, resource files, and more. Tested on Claude Desktop, it aims to support other LLMs in the future, enhancing Android reverse engineering and APK modification tools connectivity for easier reverse engineering purely from vibes.

JADX-AI-MCP is a plugin for the JADX decompiler that integrates with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. It allows for quick analysis, vulnerability detection, and AI code modification, all in real time. The tool combines JADX-AI-MCP and JADX MCP SERVER to analyze Android APKs effortlessly. It offers various prompts for code understanding, vulnerability detection, reverse engineering helpers, static analysis, AI code modification, and documentation. The tool is part of the Zin MCP Suite and aims to connect all android reverse engineering and APK modification tools with a single MCP server for easy reverse engineering of APK files.

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.