Incremental local index
Enable indexing in Settings, pick an embedding model, and El-cro keeps the workspace index up to date as files change. Ignore rules and skipped-file reasons stay visible.
Local codebase retrieval
El-cro builds an incremental local semantic index so Agent can search by meaning, not only exact text. You choose the embedding provider; indexing stays on your machine unless you opt into a remote embedding endpoint.
Enable indexing in Settings, pick an embedding model, and El-cro keeps the workspace index up to date as files change. Ignore rules and skipped-file reasons stay visible.
Agent can call search_codebase to pull semantically relevant chunks into context before editing or answering.
Indexing improves retrieval for Agent. Coordinated cross-file Tab predictions and cloud-hosted mandatory indexes are not part of this release.
El-cro puts you in control of your models, keys, and data.