UnderstandYourCodebaseDeeply.
CORTEX uses Multimodal GraphRAG to give your engineering team superpowers — query, explore, and understand any codebase with natural language.
Trusted by engineering teams worldwide
Query your codebase with natural language
CORTEX builds a rich knowledge graph from your repository — understanding dependencies, call chains, and architecture — so you can ask complex questions and get precise, context-aware answers instantly.
Built for
engineering scale
CORTEX handles production-scale repositories with millions of lines of code, delivering sub-second responses through optimized graph traversal and semantic search.
Graph Accuracy
CORTEX builds highly accurate dependency graphs, mapping every function call, import, and module relationship in your codebase.
Faster Code Reviews
Understand PRs in minutes instead of hours. CORTEX shows you exactly what changes and what stays safe, with full dependency context.
Saved Per Engineer / Month
Engineering teams report saving over 60 hours per engineer each month by eliminating manual code archaeology, reducing onboarding time from weeks to days, and catching breaking changes before they hit production.
See how it worksEverything you need to know
Questions about CORTEX? We've got answers. If you don't find what you're looking for, reach out to our team.
CORTEX is a Multimodal GraphRAG-powered engineering intelligence platform. It ingests your codebase — GitHub repos or local paths — builds a rich knowledge graph of all code relationships, then lets you query that graph using natural language. It combines graph traversal with semantic embeddings and LLM reasoning to give precise, context-aware answers.
CORTEX supports all major programming languages including Python, JavaScript/TypeScript, Java, Go, Rust, C/C++, and more. It understands framework-specific patterns for React, Django, Spring Boot, and others. The knowledge graph captures imports, function calls, class hierarchies, and module dependencies regardless of language.
Simply paste your GitHub repository URL or a local file path into the dashboard's ingestion panel and click 'Index Repository'. CORTEX will crawl your codebase, parse all source files, build the dependency graph, and generate embeddings — typically completing in 1-5 minutes depending on repository size.
Yes. CORTEX processes your code locally by default. When using the self-hosted version, your source code never leaves your infrastructure. The embeddings and graph data are stored in your own database. For cloud deployments, all data is encrypted at rest and in transit, with strict access controls.
Absolutely. CORTEX is built for production scale — it has been tested on monorepos with 10M+ lines of code. The graph database scales horizontally, and query responses remain under 2 seconds even for complex multi-hop traversals across large dependency trees.
You can ask anything about your codebase structure and logic: 'What services depend on the payment module?', 'Show me all callers of this function', 'What will break if I rename this class?', 'Where is user authentication handled?', 'Explain how data flows from the API to the database'. CORTEX understands both structural and semantic questions.