I got Google AI Pro free for a year and it comes with the Antigravity CLI (agy) — basically Gemini with full tool access in your terminal. Checked my usage after a few months: literally zero. Meanwhile Claude Code is burning through tokens reading files to answer one question about them. Felt dumb letting a free year of Gemini sit there. I found an existing bridge (claude-to-agy) but it had some limitations, a single generic tool, no model selection, and no way to continue a conversation, so every follow-up resends the entire context. (Separately, while building mine I found agy itself silently falls back to a default model if you pass a bad model name. Took me a while to even notice, so agy-bridge validates model names against agy models before running.) So I built agy-bridge — six purpose-built tools instead of one generic one: analyze_files — Claude passes file paths, Gemini reads them, only the answer comes back. File content never enters Claude’s context deep_search — git log/blame/grep archaeology across the whole repo web_lookup — doc/version lookups with source URLs adversarial_review — second opinion from a different model family on plans/diffs (underrated — Gemini catches stuff Claude agrees with itself about) follow_up — resumes the agy session by id, so follow-ups cost ~nothing delegate — raw escape hatch Plus model routing with availability checking and session continuity via agy’s conversation cache. Token impact (estimates from a few days of use, not a benchmark): ~1,000-line file question: ~10-15k tokens to read it myself → ~500 for the delegated answer “When did X change and why” git archaeology: ~30k+ tokens of log/diff output → one ~200 token answer with the commit hash Follow-ups: ~0 extra context, the session lives on Gemini’s side Rough overall: my context fills up 60–80% slower on analysis-heavy sessions. Claude stays the orchestrator, Gemini does the grunt work, the free quota finally gets used. TypeScript, MIT, 32 tests, zero-install: claude mcp add -s user agy-bridge npx – -y agy-bridge GitHub NPM Happy to answer questions or take feature requests. If you’ve got Gemini quota collecting dust, this might be for you. submitted by /u/shahxaibb
Originally posted by u/shahxaibb on r/ClaudeCode