Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.
Enables coding agents to delegate file reads, command output triage, page fetching, and image inspection to cheap flash models, returning concise answers and verified pointers while keeping raw dumps out of the main model's context.
Enables coding agents to verify verbatim quotes against a local corpus of scientific PDFs, returning exact matches with page locators or typed refusals without using an LLM.