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    A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.
    1
    1
    MIT
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    A Bloomberg Terminal you can talk to. Query company relationships — suppliers, customers, competitors, supply chain paths — directly from Claude, Cursor, or any MCP-compatible AI assistant.
    7
    MIT
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    quality
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    An AI-powered research assistant that integrates with Zotero to read academic papers, create intelligent annotations, and generate structured notes. It enables users to highlight findings, explain formulas, and write comprehensive summaries directly within their Zotero library through natural language commands.
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    19
    MIT
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    Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
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    AGPL 3.0
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    Glass-box statistical analysis for time series and business data: 19 research-grade methods, cited findings, and measured detector false-fire rates shipped as a calibration corpus. Agents cite real math instead of inventing it.
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    Apache 2.0
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    MCP server that provides access to Cyfrin Solodit's database of smart contract security findings, enabling search and filtering by impact, firms, tags, and more.
    2
    MIT
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    Enables LLM agents to search arXiv, download papers, parse PDFs into structured sections, and extract key findings using client-side LLMs. Features persistent caching and layout-aware PDF extraction.
    6
    MIT
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    MCP server for the Internet Archive's Wayback Machine. Search archived snapshots, extract page text from a specific date, track how a site has changed over time, check if broken links are recoverable, and perform research across Internet Archive collections.
    6
    3
    MIT
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    Enables AI agents and security researchers to query a curated knowledge base of 1,032 verified smart contract vulnerability findings from Sherlock audit contests, including acceptance rates and examples per vulnerability pattern.
    3
    63
    3
    MIT
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    Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
    1
    MIT
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    Enables China A-share quantitative market data retrieval, including market overview, industry rotation, sector hotspots, limit-up analysis, and risk alerts.
    2
    MIT
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    maintenance
    Local static-analysis assistant for Android malware research that manages investigation cases, exposes MCP tools via a local server, and persists evidence-backed findings without cloud dependency.
    MIT