# Graphify

> Documentation for Graphify: turn code and documents into a knowledge graph your AI agent can query, trace, and explain.

- [Graphify documentation](https://docs.graphify.com/index.md): Build a knowledge graph your AI coding assistant can query, trace, and explain.
- [Your first knowledge graph](https://docs.graphify.com/quickstart.md): Install Graphify, map your repository, and ask a question about your code.
- [Installation](https://docs.graphify.com/installation.md): Install, upgrade, and register the Graphify skill on macOS, Linux, and Windows.
- [Troubleshooting](https://docs.graphify.com/troubleshooting.md): Resolve common installation, graph, and MCP connection problems.
- [How Graphify works](https://docs.graphify.com/concepts/architecture.md): From source files to a persistent graph your assistant can traverse.
- [Edges and provenance](https://docs.graphify.com/concepts/provenance.md): Read what a relationship claims, where it came from, and how certain it is.
- [Graph files and outputs](https://docs.graphify.com/concepts/outputs.md): Understand the files Graphify writes and the parts you can reuse.
- [Supported inputs](https://docs.graphify.com/concepts/supported-inputs.md): Map code, schemas, documents, and media with the right extractor and extras.
- [Differential verification](https://docs.graphify.com/platform/verification.md): Understand the enterprise verification workflow and what each verdict means.
- [Graphify Cloud](https://docs.graphify.com/platform/overview.md): Connect your repositories, explore their relationships, and give your agents shared code context.
- [Console tour](https://docs.graphify.com/platform/console.md): Explore repository graphs, pull request reviews, and agent memory in Graphify Cloud.
- [Build and explore a small graph](https://docs.graphify.com/guides/first-graph.md): Use a tiny Python project to learn the complete local workflow.
- [Ask better graph questions](https://docs.graphify.com/guides/querying.md): Use query, path, and explain for different kinds of codebase questions.
- [Run Graphify locally](https://docs.graphify.com/guides/local-development.md): Choose a code-only workflow or add local semantic inference.
- [Keep the graph current](https://docs.graphify.com/guides/incremental-updates.md): Refresh changed files, exclude noise, and recover from stale output.
- [Extract without an IDE](https://docs.graphify.com/guides/headless-extraction.md): Run code or semantic extraction from a terminal or CI environment.
- [Export and reuse your graph](https://docs.graphify.com/guides/exports.md): Create interactive maps, wikis, graph files, and database import scripts.
- [Record useful findings](https://docs.graphify.com/guides/work-memory.md): Save query outcomes and build lessons from previous investigations.
- [Share context with your team](https://docs.graphify.com/guides/team-workflows.md): Choose how to distribute graphs and keep each checkout up to date.
- [Review pull requests with graph context](https://docs.graphify.com/guides/pull-requests.md): Inspect changed areas, overlapping work, and review priorities.
- [Choose your coding assistant](https://docs.graphify.com/integrations/overview.md): Install the Graphify skill in your editor, terminal agent, or shared agent environment.
- [Graphify with Claude Code](https://docs.graphify.com/integrations/claude-code.md): Give Claude Code a persistent map of your repository.
- [Graphify with Cursor](https://docs.graphify.com/integrations/cursor.md): Give Cursor a persistent map of your repository.
- [Graphify with Codex](https://docs.graphify.com/integrations/codex.md): Give Codex a persistent map of your repository.
- [Graphify with Gemini CLI](https://docs.graphify.com/integrations/gemini-cli.md): Give Gemini CLI a persistent map of your repository.
- [Graphify with GitHub Copilot](https://docs.graphify.com/integrations/copilot.md): Choose the integration for Copilot CLI or VS Code.
- [Other coding assistants](https://docs.graphify.com/integrations/other-assistants.md): Use Graphify with the rest of your development tools.
- [Connect the graph MCP server](https://docs.graphify.com/mcp/overview.md): Let your assistant query your repository through ten structured graph tools.
- [Serve a graph over HTTP](https://docs.graphify.com/mcp/shared-http.md): Run a shared MCP endpoint with explicit network and authentication settings.
- [Search the docs from your agent](https://docs.graphify.com/mcp/docs-search.md): Connect to the documentation MCP, separately from your repository graph.
- [CLI reference](https://docs.graphify.com/reference/overview.md): Find the command for building, exploring, exporting, and maintaining a graph.
- [graphify query](https://docs.graphify.com/reference/query.md): Retrieve a compact neighborhood of graph evidence for a question.
- [graphify path](https://docs.graphify.com/reference/path.md): Trace the shortest relationship path between two graph concepts.
- [graphify explain](https://docs.graphify.com/reference/explain.md): Inspect a concept, its source, and the relationships around it.
- [graphify extract](https://docs.graphify.com/reference/extract.md): Run local structural extraction and optional semantic processing.
- [Configuration](https://docs.graphify.com/reference/configuration.md): Configure model backends, output paths, and local logging.
- [MCP tool reference](https://docs.graphify.com/reference/mcp-tools.md): Inputs for all ten Graphify graph and pull request tools.