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Le Levier"},"license":"MIT","homepage":"https://github.com/plelevier/gcyphrq#readme","keywords":["cypher","graph","query","graphology","neo4j","cli","in-memory"],"repository":{"type":"git","url":"git+https://github.com/plelevier/gcyphrq.git"},"description":"A CLI tool and library that executes Cypher graph queries against an in-memory graph built on Graphology","maintainers":[{"name":"plelevier","email":"pascal.lelevier@gmail.com"}],"readme":"# gcyphrq\n\nA Cypher graph query engine for in-memory graphs built on [Graphology](https://graphology.github.io/).\n\nAvailable as a **CLI tool** and as a **library** for Node.js / TypeScript projects.\n\n📖 **[Documentation](https://plelevier.github.io/gcyphrq/)** — Getting Started, CLI Reference, Query Guide, Library API, and Examples\n\n## Features\n\n- **Cypher query engine** — supports `MATCH`, `OPTIONAL MATCH`, `WITH`, `RETURN`, `CREATE`, `SET`, `DELETE`\n- **CALL { ... } subqueries** — inline subqueries with YIELD filtering, nested subqueries, and mutations inside\n- **WHERE on MATCH and WITH** — filter with `>`, `>=`, `<`, `<=`, `=`, `<>`, `CONTAINS` plus `AND`, `OR`, `NOT`\n- **CASE expressions** — conditional logic with `CASE WHEN ... THEN ...` and `CASE expr WHEN val THEN ...`\n- **Variable-length paths** — e.g. `-[r:FRIEND*1..3]->`\n- **Aggregations** — `count()`, `sum()`, `avg()`, `min()`, `max()` with implicit grouping via `WITH`\n- **Directional filtering** — `->`, `<-`, `-`\n- **Library or CLI** — use as a dependency in your project or run from the terminal\n- **Extensions** — pluggable graph-input formats and custom functions via npm packages\n- **TypeScript support** — full type declarations shipped with the package\n\n## Installation\n\n### Global CLI Install\n\nInstall the tool globally so `gcyphrq` is available from any terminal:\n\n```bash\nnpm install -g gcyphrq\n```\n\n### Project Dependency Install\n\nUse `gcyphrq` as a library in your own Node.js or TypeScript project:\n\n```bash\nnpm install gcyphrq\n```\n\nThen import and use the API in your code:\n\n```typescript\nimport { executeQuery } from 'gcyphrq';\n\nconst result = executeQuery(graphData, 'MATCH (n) RETURN n');\n```\n\n## Quick Start\n\n```bash\n# Load a graph from a JSON file\ngcyphrq -g examples/social-graph.json -e 'MATCH (u:User) RETURN u'\n\n# Pipe a graph from stdin\ncat my-graph.json | gcyphrq -g - -e 'MATCH (u:User) RETURN u'\n```\n\n## Usage\n\n```\nUsage: gcyphrq [options]\n\nOptions:\n  -e, --expr <query>     Cypher query expression (required for queries)\n  -g, --graph <file>     Path to a JSON graph file (or \"-\" to read from stdin)\n  --format <graph|rows>  Output format: \"graph\" (default) or \"rows\"\n  --ext <name>           Use a graph-input extension to parse the input file\n  --ext-fn <name>        Load a function extension (repeatable)\n  --list-extensions      List all available extensions\n  --install-skill <mode> Install the gcyphrq skill for AI coding agents. Mode: \"global\" (symlinks) or \"local\" (copies into current directory)\n  -v, --version          Show version number\n  -h, --help             Show this help message\n```\n\n## Graph File Format\n\nGraphs use the [Graphology JSON format](https://graphology.github.io/). See [`examples/README.md`](examples/README.md) for the full specification and sample graphs.\n\n## Running without installing\n\nYou can also run the tool directly from the source without a global install:\n\n```bash\nnpx tsx src/index.ts -g examples/social-graph.json -e 'MATCH (u:User) RETURN u'\n```\n\n## Testing\n\n```bash\nnpm test\n```\n\n## Benchmarking\n\nThe `bench.ts` script measures query performance with and without pre-computed indexes:\n\n```bash\n# Default: 5 queries against examples/cloud-infra.json\nnpx tsx bench.ts\n\n# Different graph\nnpx tsx bench.ts -g examples/social-graph.json\n\n# Custom queries\nnpx tsx bench.ts -q 'MATCH (s:Service) RETURN s' 'MATCH (n) RETURN count(n) AS total'\n```\n\n## AI Agent Skill\n\nThis project includes a [skill](skills/gcyphrq/SKILL.md) that teaches AI agents how to use `gcyphrq` — supported Cypher features, query patterns, limitations, and ready-made examples against the bundled `cloud-infra.json` graph.\n\nInstall the skill so your AI agent knows how to query your graphs without you having to explain the syntax every time.\n\n### Installing the Skill\n\nThe easiest way is to use the built-in install command. It detects your installed agents (pi, Claude Code, OpenCode) and installs the skill automatically:\n\n```bash\n# Install globally (symlinks in agent config directories)\ngcyphrq --install-skill global\n\n# Install locally (copies into current directory)\ngcyphrq --install-skill local\n```\n\nThe `--install-skill` command detects which agents are installed on your system and sets up the skill for each one. For Claude Code and OpenCode it also generates the `CLAUDE.md` / `AGENTS.md` reference files.\n\n### Manual Installation\n\nIf the install command doesn't work for your setup, you can place the skill directory manually:\n\n```bash\n# pi\nln -s $(pwd)/skills/gcyphrq ~/.pi/agent/skills/gcyphrq\n\n# Claude Code\nln -s $(pwd)/skills/gcyphrq ~/.claude/skills/gcyphrq\n\n# OpenCode\nln -s $(pwd)/skills/gcyphrq ~/.opencode/skills/gcyphrq\n```\n\nThe skill is auto-discovered on next invocation.\n","readmeFilename":"README.md"}