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Alternatives
Software like codegraph-tools
What else does this job. Matched on what each project does, not on who links to whom.
Closest first
- ai-graphxgithub.comai-graphx is an open-source AI coding assistant that converts folders containing code, documents, images, or videos into queryable knowledge graphs. It supports multimodal input and retrieval-augmented generation for developers.
- cghgithub.comLocal code graph for AI coding agents. Indexes your repo into an embedded graph DB (DuckDB by default, Kuzu opt-in) plus SQLite FTS, exposes 30+ MCP tools to Claude Code, Cursor, Codex, and Gemini. Federates across sibling repos.
- codegraph-kitpypi.orgcodegraph-kit is an open-source toolkit that generates cached, incremental code-graph maps, allowing AI agents to efficiently query code structure. It supports CLI usage and optional MCP server integration, making it ideal for developers building AI-powered code analysis tools.
- graphifyypypi.orggraphifyy is an open-source CLI tool that converts folders containing code, documents, images, or videos into a queryable knowledge graph. It is designed for developers and AI coding assistants to enable retrieval-augmented generation (RAG) and advanced codebase querying. The tool supports multiple data formats and integrates with AI workflows.
- graphify-optpypi.orggraphify-opt is a Python package and CLI tool that processes folders containing code, documentation, academic papers, images, or videos and converts them into a queryable knowledge graph. It serves as a skill/plugin for multiple AI coding assistants including Claude Code, Cursor, Aider, Gemini CLI and others. The resulting graph enables advanced retrieval-augmented generation (RAG) and community detection capabilities for local or hybrid AI workflows.
- pygraph-mcpgithub.comAST-based Python/Flask/FastAPI codebase indexer for AI agents
- jcodegithub.comFeature-graph code intelligence for AI agents — stop grepping, start graphing
- Graphifygraphify.netGraphify is an open-source tool that builds knowledge graphs from code, documentation, papers, and diagrams to help AI coding assistants understand complex codebases. It supports multi-modal extraction, static analysis, and semantic clustering, making it valuable for developers building AI-powered code tools.
- graph-structuregithub.comCalculate structural properties of graphs and subgraphs based on node attributes.
- pygitcodegithub.comA CLI tool for GitCode (api.gitcode.com), modeled after GitHub CLI.
- graphite-codepypi.orggraphite-code is an open-source command-line package that extracts knowledge graphs from codebases locally without using large language models. It is intended for developers who need structured codebase analysis while keeping processing on their own machines.
- Code-Graph-RAGcode-graph-rag.comCode-Graph-RAG is an open-source tool designed for AI-powered analysis and understanding of codebases across multiple programming languages. It builds comprehensive knowledge graphs from code using Tree-sitter-based parsing, enabling users to visualize and explore code structures such as functions, classes, modules, imports, and call relationships. The platform is aimed at developers and teams seeking advanced codebase intelligence, optimization, and compliance mapping. A key feature of Code-Graph-RAG is its ability to parse code in 12 languages—including Python, TypeScript, JavaScript, Rust, Java, C, C++, Lua, C, Go, PHP, and Scala—using a unified graph schema for consistent querying. The tool stores these interconnected graphs in Memgraph and allows users to query, edit, and optimize code using natural language. AI translates plain English questions into precise Cypher graph queries, enabling tasks such as identifying authentication functions or searching for specific code patterns. The platform also supports AI-driven code editing, with AST-based targeting for function modifications, visual diff previews, and exact code block replacements. Optimization workflows are enhanced by language-specific best practices and interactive approval processes. Code-Graph-RAG integrates with Claude Code as an MCP server, providing ten tools for querying, editing, searching, and optimizing codebases directly from the IDE. These tools cover tasks such as retrieving function code, replacing code, exporting graph data, semantic search, and executing shell commands. The system also allows for the definition of custom knowledge graph relationships, supporting advanced use cases like compliance traceability, data lineage, security classification, team ownership, and cost attribution. Deployment options include fully managed cloud-hosted solutions, on-premise installations, and air-gapped environments for regulated industries. The open-source community edition is free to use, while enterprise offerings provide dedicated support, consulting, custom development, technical support contracts, integration consulting, and training services. Code-Graph-RAG positions itself as a comprehensive toolkit for codebase analysis, intelligence, and optimization, with extensibility for organizational and compliance needs.
- codegophergithub.comA Python-native, provider-agnostic AI coding agent for your terminal
- graphkeeper-clipypi.orggraphkeeper-cli is an open-source CLI tool that analyzes git history to identify file-level co-change patterns and constructs a knowledge graph for AI coding agents. It supports enrichment from external symbol/call-graph tools and is aimed at developers building intelligent code assistants.
Ranked by how close each one sits to codegraph-tools in the index, not by popularity. Back to codegraph-tools →