Search Results for "context" - Page 5
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Showing 345 open source projects for "context"
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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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ReactFire
Hooks, Context Providers, and Components
Hooks, Context Providers, and Components that make it easy to interact with Firebase. Easy realtime updates for your function components - Hooks like useUserand useFirestoreCollection let you easily subscribe to auth state, realtime data, and all other Firebase SDK events. Plus, they automatically unsubscribe when your component unmounts. Access Firebase libraries from any component - Need the Firestore SDK? -
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agent-browser
Browser automation CLI for AI agents
agent-browser is a toolkit that embeds AI agent capabilities directly into the web browser, enabling agents to interact with web content, scripts, and user actions while maintaining security boundaries that respect user privacy and browser constraints. It effectively provides a sandbox where AI agents can read, scroll, click, and interpret pages in context, allowing them to automate workflows, answer questions about page content, or generate structured summaries directly from the user’s current tab. The project emphasizes standards and safety, defining interfaces that let agents access DOM data, interpret events, and generate actionable insights without exposing sensitive credential-level access or violating policy boundaries. ... -
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Hexis
Git-backed control plane for AI-agent skills, tools, context, identity
...Everything is stored in a Git repository controlled by the organization, giving teams branches, history, change review, and rollback. Role-based access determines which skills, tools, and context each employee and agent can use. A built-in remote MCP server lets compatible clients such as Claude, ChatGPT, Cursor, and Cline connect to the same governed workspace. Tool manuals can include encrypted secrets without exposing credentials directly to agents. Proposed skill changes can move through owner approval before they become available to the wider team. ... -
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GSD Pi
Development system that enables agents to work for long periods
...It is built for developers who want an AI-assisted workflow that can handle structured tasks rather than only single chat prompts. The project emphasizes spec-driven development, context engineering, and longer autonomous work sessions. It helps users break ideas into plans, manage execution steps, verify results, and keep track of progress across a project. Because it runs as a command-line tool, it fits naturally into developer environments and repository-based workflows. Its main value is turning AI coding assistance into a more organized project system with planning, task management, and implementation support. -
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MCP Server Simulator iOS IDB
Enables LLMs to interact with iOS simulators
The MCP Server Simulator for iOS IDB provides a bridge between Large Language Models (LLMs) and iOS simulators, offering comprehensive control through natural language commands. It enables operations such as launching apps, interacting with the UI, and retrieving device information, enhancing the capabilities of AI-driven development tools. -
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Wingman
An open source AI coding assistant VSCode extension
...The AI will look for natural pauses in typing to decide when to offer code suggestions (keep in mind the speed is limited by your machine). The code completion feature will also analyze comments you type and generate suggestions based on that context. -
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ACI.dev
Open platform connecting AI agents to tools via unified MCP server
...It focuses on simplifying tool integration by connecting hundreds of pre-built services into agentic environments, allowing developers to avoid building custom API clients and authentication flows for each service. ACI provides intent-aware tool access, meaning agents can dynamically discover and use tools based on context rather than rigid configurations. It supports both direct function calling and a unified Model Context Protocol (MCP) server, offering flexibility in how integrations are exposed to AI systems. ACI also includes multi-tenant authentication and permission controls, ensuring that tool usage is secure and scoped appropriately for different users and agents. ... -
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HumanLayer
Open source IDE for orchestrating AI coding agents in large codebases
...HumanLayer integrates with modern AI models and coding assistants to automate tasks such as code research, planning, and implementation while maintaining a structured development process. HumanLayer introduces advanced context management techniques that help AI agents understand large repositories and operate effectively across multiple tasks. It also supports collaborative workflows where developers and AI agents can work together with human oversight and control. -
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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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Browser MCP
Browser MCP is a Model Context Provider (MCP) server
Browser MCP is an MCP server plus browser integration that lets AI apps automate the user’s real browser instead of launching a separate automation session. By adapting a Playwright-style approach to control the running browser profile, it reuses logged-in sessions and cookies, which reduces re-authentication friction and helps avoid some bot-detection heuristics. The server exposes structured tools for navigation, element interaction, and artifact capture (DOM, screenshots, logs), all... -
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Brokk
Brokk brings code intelligence to AI
Brokk is a code intelligence assistant framework designed to let large language models (LLMs) understand code semantically (not just as raw text) so that they can work effectively on large codebases that don’t fit wholly in a prompt context. It helps bridge the gap between LLMs and real-world engineering code by offering tooling to index, analyze, query, and augment code context, so that AI can meaningfully reason about existing code, suggest edits, and navigate across projects. Modular build tasks (run, test, build, shadowJar, tidy, etc.) to support development workflows. ... -
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Proton VPN Browser Extension
Proton VPN Browser Extension
...Because browser extensions are constrained by browser APIs, this extension focuses on securing in-browser connections, protecting privacy specifically within the browser context rather than across the entire operating system. Users can sign in with their Proton accounts, choose from available VPN locations, and connect or disconnect from the toolbar with a single click, making it practical for casual privacy protection or geo-unblocking content without installing native applications. -
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deepsec
Deepsec is a security harness for finding vulnerabilities
...It is designed to run on the user’s own infrastructure, using coding agents to perform deep, project-aware security review rather than only basic pattern matching. The tool initializes a project-specific security context, scans code in batches, processes findings, and can optionally revalidate results to reduce false positives. For large repositories, it supports parallel work across worker machines and can resume interrupted scans without repeating completed work. It is aimed at serious security reviews where deeper model reasoning may be worth the higher compute and model cost. ... -
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Prompt Optimizer
A prompt word optimizer to help write high-quality prompt words
...With support for different deployment modes including web apps, desktop apps, Chrome plugins, and Docker containers, Prompt-Optimizer offers flexibility that suits both individual developers and teams working in diverse environments. It also includes advanced capabilities like multi-model integration, context testing, and real-time comparison of prompt outputs, helping users to see exactly how prompt changes influence results. -
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MCPHub
A unified hub for centralized management and dynamic organization
MCPHub is a unified hub that organizes many MCP servers behind clean Streamable HTTP (SSE) endpoints so clients can connect to “all tools,” a specific server, or logical groups. It’s designed to simplify multi-server operations: one process can multiplex several named STDIO servers and re-expose them over HTTP for IDEs and services. The README ships in multiple languages and includes deployment and routing guidance, signaling an intention to reach a broad user base. The project publishes to... -
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Solana Agent Kit
Connect any ai agents to solana protocols
solana-agent-kit is an open-source toolkit that enables AI agents to connect with Solana blockchain protocols. It allows any AI agent, regardless of the underlying model, to autonomously perform over 60 Solana actions, including token trading, launching new tokens, lending assets, sending compressed airdrops, executing blinks, launching tokens on Automated Market Makers (AMMs), and bridging tokens across chains. -
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HybridClaw
The enterprise operating layer for open agents
...The project emphasizes modularity, allowing developers to define and compose “skills” or capabilities that agents can invoke dynamically, enabling more adaptive and context-aware automation. HybridClaw aims to bridge the gap between isolated AI tools and fully orchestrated agent systems by enabling communication, coordination, and shared context across multiple agents or processes. It is particularly relevant in scenarios where developers want to build complex autonomous systems that interact with codebases. -
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NanoClaw
A lightweight alternative to Clawdbot / OpenClaw
...The project connects directly to WhatsApp, letting you deploy an assistant that can chat in a familiar interface while still supporting real agent behaviors instead of simple call-and-response prompts. It includes memory so the assistant can retain important context across interactions, enabling more consistent follow-through on ongoing tasks. It also supports scheduled jobs, making it suitable for recurring reminders, periodic automations, and timed workflows without needing an external orchestrator. -
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Copilot for Obsidian
AI assistant plugin that brings chat, search, and agents to Obsidian
...It enables users to interact with their notes through conversational chat, allowing them to ask questions, summarize information, and generate new content using large language models. It works inside a user’s vault and can analyze notes, documents, and other referenced materials to provide context-aware responses. It supports multiple AI providers and models, giving users the flexibility to choose external APIs or run compatible local models depending on their setup. Obsidian Copilot emphasizes user ownership of data by keeping notes in the local Obsidian vault while allowing the AI to process them as context when requested. ... -
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Framelink MCP for Figma
MCP server enabling AI coding tools to access Figma design data
Figma-Context-MCP is an open source server that connects Figma design data with AI-powered coding tools through the Model Context Protocol (MCP). It allows coding assistants to retrieve structured information from Figma files so they can better translate visual designs into working code. Instead of relying on screenshots or manual descriptions, Figma-Context-MCP accesses layout, styling, and component metadata directly from the Figma API and presents it in a simplified format optimized for AI models. ... -
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Chrome DevTools MCP
Chrome DevTools for coding agents
chrome-devtools-mcp is an MCP server that connects AI agents to the Chrome DevTools Protocol so they can inspect pages, record traces, read console/network data, and modify the live browser state under user control. It makes a running Chrome instance visible to MCP clients, enabling agents to debug websites end-to-end—launching Chrome, navigating, profiling, and collecting artifacts in a structured way. The repository spells out environment requirements and cautions that exposing a live... -
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Roarr
JSON logger for Node.js and browser
JSON logger for Node.js and browser. A transport in most logging libraries is something that runs in-process to perform some operation with the finalized log line. For example, a transport might send the log line to a standard syslog server after processing the log line and reformatting it. Roarr does not support in-process transports because Node processes are single threaded processes (ignoring some technical details). Given this restriction, Roarr purposefully offloads handling of the... -
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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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DBHub
Universal database MCP server connecting to MySQL, PostgreSQL
DBHub is a universal database gateway that implements the MCP server interface so assistants and IDEs can explore and query databases through typed tools. It supports multiple transports—stdio for desktop clients and HTTP for networked scenarios—making it flexible to embed or deploy. Configuration is environment-variable driven, with a DSN and per-engine settings covering Postgres, MySQL, MariaDB, SQL Server, and SQLite. Operational flags include read-only mode, row limits, and even SSH...
