Search Results for "context" - Page 13
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Showing 1844 open source projects for "context"
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MCP Package Version
An MCP server that provides LLMs with the latest stable package
The Package Version MCP Server provides tools for checking the latest stable package versions from multiple package registries, including npm, PyPI, Maven Central, Go Proxy, Swift Packages, AWS Bedrock, Docker Hub, GitHub Container Registry, and GitHub Actions. -
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FileScope MCP
Analyzes your codebase identifying important files based on dependency
FileScopeMCP is a TypeScript-based tool that analyzes codebases to identify important files based on dependency relationships. It generates diagrams and importance scores per file, aiding in understanding code structure and assisting AI assistants in navigating complex projects. -
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glutin
A low-level library for OpenGL context creation
Glutin is a low-level library written in Rust that provides an interface for creating OpenGL contexts and handling windowing, events, and input. It serves as a foundational component for developing cross-platform graphical applications in Rust, offering developers the flexibility to build upon its abstractions for custom rendering solutions. -
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Grounded Docs
Open-Source Alternative to Context7, Nia, and Ref.Tools
Grounded Docs is an open-source implementation of a Model Context Protocol server designed to expose documentation and structured information as tools that AI agents can query. The project allows language models and agent frameworks to retrieve and interact with documentation through standardized MCP interfaces. By acting as an intermediary layer between documentation sources and AI tools, the server enables models to access structured documentation in a consistent and machine-readable format. ... -
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Qwen
The official repo of Qwen chat & pretrained large language model
Qwen is a series of large language models developed by Alibaba Cloud, consisting of various pretrained versions like Qwen-1.8B, Qwen-7B, Qwen-14B, and Qwen-72B. These models, which range from smaller to larger configurations, are designed for a wide range of natural language processing tasks. They are openly available for research and commercial use, with Qwen's code and model weights shared on GitHub. Qwen's capabilities include text generation, comprehension, and conversation, making it a... -
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GalTransl
Automated translation solution for visual novels
GalTransl is an automated translation system specifically designed for visual novels, particularly those in the “galgame” genre, leveraging large language models to streamline and enhance the translation process. It integrates support for multiple advanced LLM providers such as GPT-4, Claude, DeepSeek, and other models, enabling high-quality, context-aware translations that go beyond traditional machine translation approaches. The platform is built to handle the unique structure of visual novels, including branching dialogue, character-specific tone, and embedded scripts, which require more nuanced handling than standard text translation. It includes automation pipelines that extract game text, process it through language models, and reintegrate translated content back into the game environment. ... -
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WhatsApp MCP Server
WhatsApp MCP server enabling AI access to chats and messaging
whatsapp-mcp is an open source Model Context Protocol (MCP) server that enables AI agents to interact directly with a user’s WhatsApp account through a structured interface. It acts as a bridge between WhatsApp and large language models, allowing controlled access to messages, chats, and contacts. whatsapp-mcp is composed of two main components: a Go-based bridge that connects to the WhatsApp Web API and stores data locally, and a Python-based MCP server that exposes tools for AI interaction. ... -
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WeKnora
LLM framework for document understanding and semantic retrieval
...It focuses on analyzing complex and heterogeneous documents by combining multiple processing stages such as multimodal document parsing, vector indexing, and intelligent retrieval. It follows the Retrieval-Augmented Generation (RAG) paradigm, where relevant document segments are retrieved and used by language models to generate accurate, context-aware responses. This approach enables the system to provide more reliable answers by grounding model reasoning in the content of uploaded documents. WeKnora is designed with a modular architecture that separates components for document processing, search strategies, and model inference, allowing developers to customize or extend different parts of the pipeline. ... -
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ChatMCP
ChatMCP is an AI chat client implementing the Model Context Protocol
ChatMCP is a cross‑platform AI chat client that implements the Model Context Protocol (MCP) to provide unified chat experiences across environments—including desktop, mobile, and web—with synchronization and protocol support tailored for MCP. You can install MCP Server from MCP Server Market, MCP Server Market is a collection of MCP Server, you can use it to chat with different data. Tested on major distributions: Ubuntu, Fedora, Arch Linux, openSUSE. -
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best-claude-hud
Minimal Claude Code statusline HUD powered by Rust
...A terminal interface supports configuration, built-in themes, custom themes, model aliases, and custom context limits. The project supports major macOS, Linux, and Windows desktop architectures and avoids unnecessary Git locking while collecting repository status. -
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Riff
Nine opinionated skills for writing personal essays with Claude
...It provides an environment where developers can interact with code using natural language, enabling faster understanding and modification of projects. The system integrates with language models to generate suggestions, explanations, and improvements based on context. It is built to streamline development processes, reducing the time required for debugging, refactoring, and exploration. Riff emphasizes usability, offering a clean interface that integrates smoothly into existing workflows. It also supports extensibility, allowing developers to adapt the tool to different programming environments. ... -
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QodeAssist
QodeAssist is an AI-powered coding assistant plugin for Qt Creator
...The plugin supports both local and cloud-based language model providers, including Ollama, llama.cpp, OpenAI, Claude, and others, allowing developers to choose between privacy-focused local setups or more powerful remote models. It includes advanced context handling features such as file attachments, project-specific rules, and automatic synchronization with open files, which improves the relevance of AI responses. The system also enables AI tool calling, allowing the assistant to inspect project files, run searches, and access diagnostics to provide deeper assistance. -
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Colab-MCP
An MCP server for interacting with Google Colab
Colab-MCP is an open-source Model Context Protocol server developed by Google that enables AI agents to directly interact with and control Google Colab environments programmatically, transforming Colab into a fully automated, agent-accessible workspace. Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. -
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Shadcn UI v4 MCP Server
A mcp server to allow LLMS gain context about shadcn ui component
Shadcn UI v4 MCP Server is a Model Context Protocol server that enables AI assistants to access, retrieve, and utilize shadcn/ui component libraries within development workflows, effectively bridging UI component systems with AI-driven coding tools. It provides structured access to component source code, demos, metadata, and reusable UI blocks, allowing AI agents to generate accurate and production-ready interface implementations. -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
...Microsoft Agent Framework supports graph-based orchestration that enables developers to connect agents, functions, and tools into structured workflows capable of handling multi-step processes. It also includes components such as agent sessions for managing state, context providers for maintaining memory, and middleware for intercepting and extending agent behavior. Developers can integrate external tools and services so that agents can execute actions beyond text generation. -
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MemoryOS
MemoryOS is designed to provide a memory operating system
MemoryOS is an open-source framework designed to provide a structured memory management system for AI agents and large language model applications. The project addresses one of the major limitations of modern language models: their inability to maintain long-term context beyond the limits of their prompt window. MemoryOS introduces a hierarchical memory architecture inspired by operating system memory management principles, allowing agents to store, update, retrieve, and generate information from multiple layers of memory. These layers typically include short-term memory for immediate conversation context, mid-term memory for topic-level grouping, and long-term personal memory for persistent knowledge about users or tasks. ... -
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NagaAgent
A simple yet powerful agent framework for personal assistants
...Rather than being a simple chatbot, NagaAgent emphasizes persistent thought cycles, context retention, and the ability to decompose complex tasks into smaller executable units, earning it a place in research explorations of agent design. Its architecture facilitates extensibility, allowing developers to plug in different reasoning modules or knowledge sources depending on the domain of use. -
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GitHub Copilot for Xcode
AI coding assistant for Xcode
Copilot for Xcode brings GitHub Copilot’s AI-driven code suggestions directly into Apple’s Xcode IDE, giving iOS and macOS developers predictive completions, context-aware recommendations, and natural language assistance while they write Swift, Objective-C, and related code. It embeds seamlessly into the Xcode editor UI, offering completions as you type, including full lines or blocks of code derived from surrounding context and doc comments. Because the integration understands the structure of Xcode-based projects and Apple’s frameworks, suggestions are often tailored to platform idioms, APIs, and patterns used in Cocoa, UIKit, SwiftUI, and more. ... -
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Advanced RAG Techniques
Advanced techniques for RAG systems
Advanced RAG Techniques is a comprehensive collection of tutorials and implementations focused on advanced Retrieval-Augmented Generation (RAG) systems. It is designed to help practitioners move beyond basic RAG setups and explore techniques that improve retrieval quality, context construction, and answer robustness. The repository organizes techniques into categories such as foundational RAG, query enhancement, context enrichment, and advanced retrieval, making it easier to navigate specific areas of interest. It includes hands-on Jupyter notebooks and runnable scripts that show how to implement ideas like optimizing chunk sizes, proposition chunking, HyDE/HyPE query transformations, fusion retrieval, reranking, and ensemble retrieval. ... -
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Ulixee Hero
The web browser built for scraping
It's the first modern headless browsers designed specifically for scraping instead of just automated testing. Hero provides access to the W3C DOM specification without the need for Puppeteer's complicated evaluate callbacks and multi-context switching. We've recreated a fully compliant DOM directly in NodeJS allowing you bypass the headaches of previous scraper tools. The powerful Chrome engine sits under the hood, allowing for lightning fast rendering. Emulators make it easy to disguise your script as practically any browser. -
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jQuery contextMenu plugin & polyfill
jQuery contextMenu plugin & polyfill
The contextMenu Plugin was designed for web applications in need of menus on a possibly large amount of objects. Unlike implementations as a beautiful site's or trendskitchens' this contextMenu treats the menu as the primary object. That means, that a single menu is defined that can be used by multiple objects. Unlike the mentioned plugins, contextMenu doesn't need to bind itself to triggering objects. This allows injecting and removing triggers without having to re-initialize or update... -
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Chat On Steroids
Cross-platform local MCP capabilities for ChatGPT with Chrome
...It lets ChatGPT inspect approved files, apply patches, run terminal commands, maintain task plans, and coordinate multiple workers. Long-running tasks can continue while the user sends corrections or changes direction. Worker sessions preserve their own context so delegated jobs can be resumed or reused later. On supported desktop platforms, an optional connector can expose screen observation, keyboard and mouse control, window interaction, and clipboard access. A companion browser extension links the ChatGPT conversation to the local application. The project supports Windows, macOS, and Linux, although desktop-control capabilities vary by operating system. -
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Memory OS
A 7-layer memory operating system for Hermes Agent
Memory OS is a local memory operating system for Hermes Agent. It is designed to help an AI agent retain project context, decisions, structured facts, reasoning patterns, and prior conversations across sessions. The system uses seven memory layers that combine flat files, SQLite, full-text search, structured facts, semantic recall, Qdrant vector storage, and a self-curating wiki pipeline. It injects only relevant context back into the agent so memory remains useful without wasting tokens. ... -
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Kangaroo
Kangaroo is an AI-powered SQL client and admin tool for popular dbs
...The tool is intended for developers, analysts, and data professionals who want to simplify complex query generation and debugging processes. It integrates with databases to provide context-aware suggestions, helping users understand schema structures and relationships. Kangaroo also supports conversational querying, enabling users to describe what they want to retrieve and receive corresponding SQL queries. The system aims to bridge the gap between traditional database tools and modern AI-driven workflows. Overall, Kangaroo transforms SQL clients into intelligent assistants that improve productivity and reduce the learning curve for database interactions. -
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PAR LLAMA
TUI for Ollama and other LLM providers
...The application allows users to chat with models, manage sessions, and organize conversations without needing a graphical interface, making it ideal for developers who prefer terminal workflows. It includes advanced features such as persistent memory, which enables the system to retain user context across conversations, improving continuity and personalization. The platform also supports custom prompts, templates, and reusable patterns, allowing users to standardize and automate interactions with models.
