$ loading_
Turn code into an interactive 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.
Convert this project into an interactive knowledge graph, highlight the core modules, major dependencies, and key entry files, and suggest the first 10 nodes I should read.
An explorable code knowledge graph with a structural overview and a recommended reading path.
Using this code graph, trace the call chain for the user login feature and identify related files, functions, external services, and possible authentication logic.
A mapped login call flow with key nodes, dependencies, and implementation locations.
Inspect this interactive code knowledge graph and answer: where is configuration loading implemented, how does the caching layer work, and which modules should be prioritized for refactoring?
Structured answers to the questions, supported by relevant modules and code nodes.
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.
Query and understand large codebases with a fast knowledge graph for AI agents.
Understand your codebase in terminal and accelerate coding with natural language.
Connect a local GraphRAG knowledge base for private offline document retrieval.