Ragtoolina – MCP tool that adds codebase RAG to AI coding agents
Honest benchmark shows RAG overhead on trivial queries; 63% token savings on complex tasks.
The context spine that 10x's every AI coding session. Live in 8 IDEs (Claude Code, Cursor, Cline, Continue, Aider, Codex, Windsurf, Zed) via npm + OpenVSX + Anthropic plugin directory. 89% measured token reduction. Local SQLite, zero cloud, Apache 2.0.
Heuristic DOM matching cuts LLM calls, saving 89% on tokens compared to naive context stuffing.
AI coding tool developers, VS Code extension users
Continue · Cursor · Sourcegraph Cody
Honest benchmark shows RAG overhead on trivial queries; 63% token savings on complex tasks.
Solves the 30-year-old portability nightmare with a single runtime contract.
Signature mapping cuts AI context tokens 97% when Cursor and Continue bloat your prompts.
Tree-sitter extraction cuts LLM context 50-tokens-to-8 tokens. Cursor and Cody ignore this.
Slash agent token costs 164x with hook reducers and persistent daemon state.
QR code friction beats willpower against TikTok's retention engineers.