Move beyond keyword search. Engram builds a neural map of your codebase to understand intent, relationships, and logic, not just syntax.
Engram reads your code like a senior engineer, not a text editor. By converting functions and classes into high-dimensional vector embeddings, we capture the "meaning" of your code. This allows you to search for "authentication logic" and find relevant files even if the word "authentication" never appears.
Code is a graph of dependencies. Our indexing engine traces the execution flow and data structures across files, building a comprehensive graph of how your application fits together. This enables complex queries like "Where is the user data validated before database insertion?" to be answered instantly.
Speed is a feature. Our custom-built, file-based vector store allows for millisecond-latency retrieval. Whether you have 10 files or 10,000, accessing the relevant semantic context is instantaneous, keeping your flow state unbroken.