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    Deep Research

    Deep Research

    Use any LLMs (Large Language Models) for Deep Research

    Deep Research is a local-first research agent that orchestrates multiple LLMs to generate in-depth reports in minutes. It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. A simple web UI lets you enter topics and configure models, while the backend streams progress as sources are fetched and arguments are weighed. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    The Web MCP

    The Web MCP

    A powerful Model Context Protocol (MCP) server

    Bright Data’s Web MCP server gives AI assistants robust, real-time web capabilities through an MCP interface designed to avoid blocks, rate limits, and CAPTCHAs. It presents search, crawl, navigate, and extraction tools that agents can call directly, replacing brittle scraping prompts with typed operations. The README markets it as a “gateway” to the live web so assistants don’t fall back to stale training data.
    Downloads: 5 This Week
    Last Update:
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  • 3
    BrowserTools MCP

    BrowserTools MCP

    Monitor browser logs directly from Cursor

    Browser Tools MCP is an MCP server and Chrome extension that gives AI agents safe, structured access to your live browser for debugging and automation. It can capture console/network logs, DOM snapshots, and screenshots, and expose them as typed resources the agent can query or act on. The design aims to make IDE agents (e.g., Cursor, Claude Desktop) more “web-aware,” enabling workflows like reproducing a bug, collecting evidence, and proposing fixes without copy-pasting. ...
    Downloads: 1 This Week
    Last Update:
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