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⇱ A tool for searching local files and code | Glama

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A tool for searching local files and code

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  • Why this server?

    Provides intelligent semantic code search using local AI embeddings with natural language queries and privacy-first local processing, perfectly matching the need for local code search.

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    Provides intelligent semantic code search using local AI embeddings, enabling natural language queries to find relevant code by meaning rather than exact keywords. Indexes codebases in the background with smart project detection and privacy-first local processing.
    Last updated
    6
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    199
    MIT

  • Why this server?

    Offers semantic code search running 100% locally using EmbeddingGemma embeddings across 15 file extensions and 9+ programming languages without cloud dependencies.

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    Provides semantic code search capabilities that run 100% locally using EmbeddingGemma embeddings. Enables finding code by meaning across 15 file extensions and 9+ programming languages without API costs or sending code to the cloud.
    Last updated
    232

  • Why this server?

    Enables intelligent file searching in local directories using natural language queries with support for multiple file formats and AI-powered relevance scoring.

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    Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.
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  • Why this server?

    Enables exploration and search of local filesystems using glob pattern matching and grep to search for text patterns within files for comprehensive local file search.

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    Enables exploration and search of local filesystems using glob pattern matching to find files and grep to search for text patterns within files.
    Last updated
    1

  • Why this server?

    Enables blazingly fast file and content searching in large codebases using ripgrep with intelligent filtering and respects .gitignore patterns.

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    Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.
    Last updated
    4
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    MIT

  • Why this server?

    A local code indexing and search library enabling semantic and keyword searches across codebases using tree-sitter and SQLite without requiring external APIs.

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    A local code indexing and search library that enables AI agents to perform semantic and keyword searches across codebases using tree-sitter and SQLite. It provides tools for indexing projects and finding precise code definitions without requiring external APIs, Docker, or server infrastructure.
    Last updated
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    MIT

  • Why this server?

    Enables comprehensive local file system operations including searching and reading content from various formats like PDF, Office documents, and text files with secure path validation.

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    Enables comprehensive local file system operations including searching and reading content from various formats like PDF, Office documents, CSV, and text files. It features automatic character encoding detection and secure path validation for directory access.
    Last updated
    7
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  • Why this server?

    Enables high-performance code search and analysis across multiple languages using symbol indexing, regex text search, and structural AST pattern matching locally.

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    Enables LLMs to perform high-performance code search and analysis across multiple languages using symbol indexing, regex text search, and structural AST pattern matching. It also provides tools for technology stack detection and dependency analysis with persistent caching for optimized performance.
    Last updated
    4

  • Why this server?

    Local-first code indexer providing symbol/text search across 48+ languages with semantic search capabilities and real-time index updates.

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    Local-first code indexer that provides deep code understanding for Claude and other LLMs with symbol/text search across 48+ languages, semantic search capabilities, and real-time index updates through the Model Context Protocol.
    Last updated
    53
    MIT