WarpGrep - Fast Subagent for Code Search – Reduces context rot and accelerates coding agents

Summary: WarpGrep is a context subagent that improves coding agent efficiency by treating context retrieval as a reinforcement learning problem. It speeds up coding tasks by 40% and reduces context rot by 70% on long-horizon tasks, enhancing performance across multiple coding agents via MCP or SDK.

What it does

WarpGrep performs inference-optimized, parallel grep calls with strict turn budgets and a trained engine to maintain high recall without excess irrelevant data. It prevents agents from hallucinating irrelevant files and keeps them focused on the task.

Who it's for

It is designed for developers building agentic coding tools using Claude Code, Codex, OpenCode, or any MCP-compatible system.

Why it matters

WarpGrep addresses slow coding agent performance caused by inefficient context retrieval, enabling faster and more accurate code search.