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    Evidence-backed, read-only codebase diagnostics for coding agents: secrets, dependency, RLS, and source-impact audits with a verify loop and PR review verdicts. Never writes files or uses the network by default.
    4
    2,726 npm
    MIT
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    Upload your raw DNA file from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, or any VCF -- and watch a team of AI agents fan out across 16+ public genomics databases, share discoveries with each other in real time, and produce a comprehensive health report. Everything runs on your machine. Nothing is uploaded anywhere.
    24
    16
    MIT
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    Enables AI assistants to analyze smart-money market structure—trend, character shifts (ChoCh/BOS), liquidity sweeps, fair value gaps, order blocks, and pullback zones—from Hyperliquid or user-supplied candles.
    3
    Apache 2.0
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    Enables fast, zero-configuration statistical exploration of any DuckDB, Parquet, or CSV datasets—computing exact Pearson correlations, ranking drivers against a target variable, and detecting regression outliers in under 200ms. It offers three unified modes (pair verification, exhaustive driver scans, and serendipitous cross-domain discovery) with optional per-capita normalization to remove spurious correlations.
    MIT
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    Enables local-first codebase intelligence, allowing chat, search, and audit operations on any repository with file:line citations, and supports offline deterministic modes without an LLM.
    9 npm
    2
    MIT
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    Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.
    MIT
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    Enables AI IDEs to chat with, search, explain, refactor, and audit a local codebase without uploading source code, returning answers backed by file-and-line source citations, confidence scores, and severity labels, plus audit and board-ready strategic reports. Runs locally and standalone as an MCP server compatible with Claude, Cursor, Windsurf, and DeepSeek Harness.
    629 npm
    2
    MIT
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    Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.
    3
    1
    MIT
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    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
    25
    97 PyPI
    2
    MIT
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    Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.
    10
    MIT
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    Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.
    42 npm
    MIT
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    Read-only market briefings with source evidence and freshness limits. Discover capabilities, check health, browse latest stories, retrieve a story by ID, and search the published archive. Public Streamable HTTP MCP; no credentials or trading execution.
    2
    5
    MIT
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    Mechanical write gates, evidence receipts, and adversarial review for AI coding agents. Fable Mode enforces a Think → Prove → Attack → Write workflow before an agent earns permission to edit a workspace.
    14
    51 PyPI
    24
    MIT