sgrep

ripgrep (rg) is a command-line, line-oriented search tool developed in Rust. It recursively searches directories and files for regular-expression patterns, while respecting .gitignore rules and, by default, skipping hidden directories and files and binary files. It provides first-class support for Windows, macOS, and Linux, with binary releases available, and is similar to grep, The Silver Searcher, and ack. The project is dual-licensed under the MIT license and the UNLICENSE.

ast-grep is a fast, polyglot command-line and programmatic tool for structural code search, linting, and rewriting at scale. It matches code patterns against abstract syntax trees, allowing users to locate and modify code across thousands of files, run customized AST-based lint rules with structured error reporting, and use interactive codemods. It supports many programming languages, can load custom tree-sitter parsers, and provides Node.js bindings for programmatic syntax-tree traversal.

grex is a command-line tool and Rust library with Python bindings that generates a regular expression from user-provided test cases. It aims to produce the shortest possible expression that matches the supplied strings, using literals, character classes, alternation, optional groups, repeated substrings with quantifiers, prefixes and suffixes, and optional anchors; command-line options or library preprocessing can generalize the result for cases such as digits and repeated values. The CLI accepts strings and can read input from a file. By default, the generated expression is intended to match only the supplied test cases, while options such as shorthand character classes can broaden its matches. It produces Perl-compatible expressions compatible with Rust's regex crate, and the project recommends inspecting generated expressions by hand for domain-specific correctness and engine-specific optimization.

Jevgrep is a command-line tool for coding agents that finds relevant files and source context in unfamiliar repositories from natural-language questions. It uses Jev to judge relevance across folders, files, and declarations, explores qualifying branches of the repository hierarchy, selects files through content previews, identifies useful source units and surrounding context, and returns a summary followed by file locations, reading leads, and verbatim excerpts with line references. Python and TypeScript/JavaScript support declaration parsing, while other text uses a fallback. It also includes an agent skill that teaches supported coding agents when to invoke the CLI and how to use its results. The CLI is distributed through npm as @dzhng/jevgrep, requires Node.js 22 or later on macOS or Linux, and requires authentication with a supported AI provider. Searches send eligible source content to Jev through the selected provider; local filtering excludes ignored, hidden, dependency/build, binary, and obvious credential files but is not a guarantee that sensitive data is removed. The project is MIT-licensed.

Code-Graph-RAG is an open-source retrieval-augmented generation system for querying, understanding, and editing multilingual codebases. Its Tree-sitter-based parser extracts functions, classes, methods, modules, and relationships, then stores them in Memgraph under a unified graph schema. An interactive CLI converts natural-language questions into Cypher queries, retrieves source code by name or intent, and supports AI-assisted editing and optimization. It provides AST-based surgical patches with diff previews, structural search and rewriting through ast-grep, dead-code discovery by traversing call and reference edges, and runtime-call overlays from test traces or production eBPF profiles. The project also supports MCP integration and publishes the `cgr` command-line tool to PyPI.