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Query cross-language code relationships to understand project structure and dependencies fast.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OmniWeave" yet — see the docs or source repo.
Use OmniWeave to analyze the full call chain in this repository from a frontend button click to backend order creation, across TypeScript, Python, and message queue handling. List the key files, functions, and dependencies in order.
A step-by-step cross-language call chain showing related files, function nodes, and dependencies.
Use OmniWeave to query which services, scripts, and processes reference the shared/auth module, and summarize the code locations and upstream/downstream relationships that may be affected if its interface changes.
An impact analysis of the shared module listing dependents, dependency directions, and potential change risk points.
Using OmniWeave's code relationship graph, generate a concise navigation guide for this polyglot repository: core entry files, main service boundaries, cross-process communication paths, and the best code areas to start modifying the user permissions feature.
A repository navigation summary for developers or AI agents to quickly locate key structures and modification entry points.
Turn codebases into knowledge graphs for architecture and dependency understanding.
Help AI coding agents understand codebase structure, history, docs, and health.
Query, understand, and edit large multilingual codebases with AI knowledge graphs.
Build a local code intelligence layer for AI agent code exploration.
Build a local code intelligence layer for AI-driven code exploration.
Run local semantic search and call graph analysis across codebases.