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Turn codebases into knowledge graphs for architecture and dependency understanding.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Axon Pro" yet — see the docs or source repo.
Analyze this codebase and generate a structural knowledge graph showing core modules, inter-module dependencies, main entry files, and an overall architecture summary.
A codebase knowledge graph with a clear explanation of core modules, entry points, and dependency structure.
Build a dependency graph for the current codebase, trace which components call the auth module, what services it depends on, and assess the likely impact of changing it.
An upstream and downstream dependency map for the auth module, plus change impact and risk analysis.
Convert this repository into a structured knowledge representation for an AI agent, extracting key components, data flows, and interface relationships, then provide a context summary for future code changes.
An AI-ready structural summary of the codebase, including key component relationships, data flows, and actionable context for modifications.
Gives AI coding agents semantic code graphs for faster, more precise answers.
Query and understand large codebases with a fast knowledge graph for AI agents.
Helps AI understand code architecture through real-time relationship graphs and dependencies.
Turn code into an interactive graph for exploration, search, and Q&A.
Help AI agents search, understand, and operate on codebases with a content-addressed graph.
Turn codebases into structural graphs for efficient AI-assisted code exploration.