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Turn code into an interactive knowledge graph for exploration, search, and Q&A.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Understand-Anything" yet — see the docs or source repo.
Turn this repository into an interactive knowledge graph. Show the main files, function call relationships, and key dependencies by module, then answer: "Which files and functions are involved in the user login flow?"
An explorable code knowledge graph plus a clear explanation of the modules and call chain involved in login.
Generate a knowledge graph from the current codebase, find the upstream and downstream dependencies of paymentService, and explain which APIs, jobs, and test files may be affected if the refund logic changes.
A graph showing paymentService dependencies and a list of likely impact areas after changing the refund logic.
Organize this project code into an interactive knowledge graph and explain, in beginner-friendly language, the system architecture, each module’s responsibility, and the full path of a request from frontend to database.
A learning-oriented architecture graph with layered explanations of modules and request flow.
Understand multi-project codebases with knowledge graphs, search, tracing, and impact analysis.
Gives AI coding agents semantic code graphs for faster, more precise answers.
Query, understand, and edit large multilingual codebases with AI knowledge graphs.
Understand your codebase in terminal and accelerate coding with natural language.
Connect a local GraphRAG knowledge base for private offline document retrieval.
Query and understand large codebases with a fast knowledge graph for AI agents.