Search Results for "context" - Page 12
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Showing 345 open source projects for "context"
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Browserbase MCP Server
Allow LLMs to control a browser with Browserbase and Stagehand
Browserbase MCP Server is a server implementation of the Model Context Protocol (MCP) that enables large language models to interact with web browsers programmatically through cloud-based automation. The project provides a standardized interface for connecting AI systems to real-world web environments, allowing them to navigate pages, extract structured data, and perform user-like actions such as clicking, typing, and form submission. -
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Qodo Cover
AI tool that generates tests to improve code coverage quickly
...Internally, Qodo Cover uses a modular architecture that includes components for prompt generation, AI interaction, coverage analysis, and test validation. It supports scanning entire repositories to automatically detect test files, gather relevant context, and extend test suites accordingly. -
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Desktop Commander MCP
AI-powered MCP server for desktop file and terminal automation
Desktop Commander MCP is an advanced Model Context Protocol server designed to extend AI assistants with direct control over a user’s local machine, including the file system and terminal. It integrates with clients like Claude Desktop to enable AI-driven workflows such as editing files, executing commands, and automating development tasks from a single conversational interface. -
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MCP Router
A Unified MCP Server Management App (MCP Manager)
MCP Router is an open-source management platform designed to simplify the deployment and coordination of Model Context Protocol (MCP) servers used by AI agents. MCP is an emerging standard that allows language models and AI assistants to connect to external tools, data sources, and services through a structured interface. The MCP Router project acts as a centralized manager that helps developers run, configure, and coordinate multiple MCP servers within a single environment. -
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dLLM
dLLM: Simple Diffusion Language Modeling
...Unlike traditional autoregressive models that generate text sequentially token by token, diffusion language models generate text through an iterative denoising process that refines masked tokens over multiple steps. This approach allows models to reason over the entire sequence simultaneously and potentially produce more coherent outputs with bidirectional context. The project provides an integrated pipeline that standardizes how diffusion language models are trained, evaluated, and deployed, helping researchers reproduce experiments and compare results more easily. The framework includes scalable training infrastructure inspired by modern deep learning toolkits and supports integrations with widely used libraries for distributed training. -
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Reader LLM
Convert any URL to an LLM-friendly input with a simple prefix
...In addition to converting individual pages, the service can perform web searches and return relevant content that can be ingested directly by AI systems. The tool relies on specialized models and parsing techniques to handle complex HTML structures and extract meaningful content while preserving important context. -
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Briefer
Dashboards and notebooks in a single place
Briefer is an open-source collaborative data platform that brings notebooks, dashboards, and interactive data apps into a unified workspace that combines the flexibility of code with the simplicity of visual exploration. It’s designed so technical users can write Markdown, SQL, and Python side by side for data analysis, visualization, and reporting, while non-technical viewers can interact with results through inputs, dropdowns, and date pickers without writing any code. Users work in a... -
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Weft
Task management, but AI agents do your tasks
Weft is an AI-augmented personal task management board where autonomous agents can be assigned tasks and then carry them out across real services like email, Google Docs, spreadsheets, GitHub issues, and pull requests. Instead of just listing to-dos, Weft lets users describe work and attach intelligent agents that read context, perform actions, and request approvals before committing state changes, making task execution partly automated without sacrificing control. It runs entirely on Cloudflare’s platform using Workers, Durable Objects, and Workflows, enabling scalable and persistent task state with minimal backend overhead. Users can set up parallel agents to handle multiple tasks at once and even schedule recurring jobs that trigger daily or weekly to keep workflows on track. ... -
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WorkAny
Desktop Agent for Any Task
...It acts as a unified environment where users can ask the AI to generate documents, presentations, websites, spreadsheets, organize files, or write code — all with real-time streaming outputs directly in the app, so you see results as the AI produces them. Powered by a combination of Claude Code as the primary runtime agent and a sandbox execution environment for safety, WorkAny integrates an agent SDK, MCP (Model Context Protocol) support, and custom skills to handle diverse tasks with contextual understanding. Users can connect multiple model providers, including OpenAI, OpenRouter, or custom endpoints, and WorkAny supports parallel task execution with asynchronous result viewing, enhancing productivity. -
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Klavis AI
MCP integration platforms for AI agents to use tools at any scale
Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more. The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher accuracy and 83%+ success on complex workflows. ... -
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ThreatMapper
Open source cloud native security observability platform
Thousands of companies trust Deepfence to secure their most critical cloud workloads and applications with a unified platform. Experience rapid threat detection and remediation, while significantly reducing non-critical security alerts by 90%. Deepfence ThreatMapper hunts for threats in your production platforms, and ranks these threats based on their risk of exploit. It uncovers vulnerable software components, exposed secrets, and deviations from good security practices. ThreatMapper uses a... -
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phosphor-react
A flexible icon family for React
...Icon components accept all props that you can pass to a normal SVG element, including inline style objects, onClick handlers, and more. Phosphor takes advantage of React Context to make applying a default style to all icons simple. Create an IconContext.Provider at the root of the app (or anywhere above the icons in the tree) and pass in a configuration object with props to be applied by default to all icons. -
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dnd kit
Accessible and extensible drag & drop toolkit for React
...Lists, Grids, multiple containers, nested contexts, variable-sized items, virtualized lists, 2D Games, and more. The core of the library weighs around 10kb minified and has no external dependencies. It's built around built-in React state management and context, which keeps the library lean. Customize every detail: animations, transitions, behaviours, styles. Build your own sensors, collision detection algorithms, customize key bindings and so much more. -
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http-proxy-middleware
Http-proxy middleware for connect, express and browser-sync
...For full control you can provide a custom function to determine which requests should be proxied or not. Use the shorthand syntax when verbose configuration is not needed. The context and option.target will be automatically configured when shorthand is used. Options can still be used if needed. -
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OpenHealth
AI health assistant for private, local data-driven insights mgmt
OpenHealth is an AI-powered health assistant designed to help individuals take control of their personal health data and better understand their overall well-being. It works by aggregating various types of health information, such as clinical records, wearable device data, and self-reported inputs, into a unified and structured format. OpenHealth then uses large language models to enable contextual conversations, allowing users to interact with their own health data in a more intuitive and... -
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MCP UI
SDK for building interactive UI components over MCP for AI tools
mcp-ui is a software development kit designed to bring interactive user interface capabilities to applications built on the Model Context Protocol (MCP). It enables developers to create rich, dynamic UI components that can be delivered from an MCP server and rendered seamlessly by a compatible client. Instead of returning only text responses, tools can provide structured UI resources such as HTML or remote-rendered components, allowing more engaging and functional interactions. mcp-ui introduces a standardized approach where tools and their associated interfaces are linked through metadata, enabling clients to automatically discover and display the correct UI. ... -
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Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
The project provides a comprehensive set of TypeScript typings based on the Schema vocabulary, enabling developers to author JSON-LD structured data with strong type safety. It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and... -
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Solid
A declarative JavaScript library for building user interfaces
...Automatic dependency tracking: accessing your reactive state subscribes to it. Small and fast. Simple: learn a few powerful concepts that can be reused, combined, and built on top of. Provides modern framework features like JSX, fragments, Context, Portals, Suspense, streaming SSR, progressive hydration, Error Boundaries and concurrent rendering. -
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agents.md
A simple, open format for guiding coding agents
openai/agents.md is a repository whose primary file is AGENTS.md, a proposed open, lightweight convention (i.e. Markdown file) for guiding coding agents in software repositories. The idea is that AGENTS.md acts as a “README for agents”: a predictable, structured place where humans can put instructions, conventions, build/test commands, environment setup, and other guidance that generative agents (e.g. code-writing, code-assisting tools) should consult when operating in the repo. Instead of... -
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Tambo
Add generative UI components to your AI assistant, copilot, or agent
...It acts as the bridge between an AI assistant and the React front end, letting your AI agent not only send text responses, but also generate interactive UI elements (forms, charts, dashboards, etc.). The library includes tools to scaffold a Tambo app, manage state, and integrate with its backend protocol (Model Context Protocol, or MCP). Developers use Tambo to shift UI logic toward the AI model: instead of hardcoding UI flows, the AI can decide what component to show next. Tambo also supports streaming updates (i.e. progressively rendering UI) and embedding interactions between LLM outputs and front-end state. -
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VoltAgent
Open Source TypeScript AI Agent Framework
An AI Agent Framework provides the foundational structure and tools needed to build applications powered by autonomous agents. These agents, often driven by Large Language Models (LLMs), can perceive their environment, make decisions, and take actions to achieve specific goals. Building such agents from scratch involves managing complex interactions with LLMs, handling state, connecting to external tools and data, and orchestrating workflows. VoltAgent is an open source TypeScript framework... -
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JupyterLab LSP
Coding assistance for JupyterLab (code navigation + hover suggestions
Hover over any piece of code; if an underline appears, you can press Ctrl to get a tooltip with function/class signature, module documentation or any other piece of information that the language server provides. Critical errors have red underline, warnings are orange, etc. Hover over the underlined code to see a more detailed message. Use the context menu entry, or Alt + 🖱️ to jump to definitions/references (you can change it to Ctrl/⌘ in settings); use Alt + o to jump back. Place your cursor on a variable, function, etc and all the usages will be highlighted. When a kernel is available the suggestions from the kernel (such as keys of a dict and columns of a DataFrame) are merged with the suggestions from the Language Server (in notebook). ... -
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Boilerplate and Starter for Next JS 12+
Boilerplate and Starter for Next.js 12+, Tailwind CSS 3 and TypeScript
...With the plugins installed on your VSCode, ESLint and Prettier can automatically fix the code and show you the errors. Same goes for testing, you can install VSCode Jest extension to automatically run your tests and it also show the code coverage in context. -
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Devon
Open source AI pair programmer for coding, debugging, automation
...It is capable of performing tasks such as debugging, writing tests, analyzing code structure, and navigating complex repositories. Devon also includes features for session management, enabling users to start, pause, and revert actions while maintaining context. -
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Relay Library for GraphQL.js
A library to help construct a graphql-js server supporting react-relay
...This is a library to allow the easy creation of Relay-compliant servers using the GraphQL.js reference implementation of a GraphQL server. A basic understanding of GraphQL and of the GraphQL.js implementation is needed to provide context for this library. This library is designed to work with the GraphQL.js reference implementation of a GraphQL server. An overview of the functionality that a Relay-compliant GraphQL server should provide is in the GraphQL Relay Specification on the Relay website. That overview describes a simple set of examples that exist as tests in this repository. ...
