antigravity

Antigravity

ChatGPT for your codebase — works in Claude Code, Cursor, Codex, Windsurf & 4 more.

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# 1 — Install (Claude Code plugin marketplace)
/plugin marketplace add study8677/antigravity-workspace-template
/plugin install antigravity@antigravity

# 2 — Pick LLM provider, build the knowledge base
/antigravity:ag-setup
/antigravity:ag-refresh

# 3 — Ask anything, grounded in real code with file paths + line numbers
/antigravity:ag-ask "How does auth work?"

99% factual · 2.1× faster than Codex CLI · works in any AI IDE. Head-to-head benchmark ↓ Codex CLI users — drop the antigravity: prefix; the same four slash commands ship there too.

Why Antigravity?

Cross-IDE repository knowledge engine for grounded codebase Q&A. Same .antigravity/ knowledge layer reads in every IDE; one engine, every host.

An AI Agent's capability ceiling = the quality of context it can read.

ag-refresh deploys a multi-agent cluster that autonomously reads your code — each module gets its own Agent that generates a knowledge doc. ag-ask routes questions to the right Agent, grounded in real code with file paths and line numbers.

Instead of handing Claude Code / Codex a repo-wide grep and making it hunt on its own, give it a ChatGPT for your repository.

Traditional approach:              Antigravity approach:
  CLAUDE.md = 5000 lines of docs     Claude Code calls ask_project("how does auth work?")
  Agent reads it all, forgets most   Router → ModuleAgent reads actual source, returns exact answer
  Hallucination rate stays high      Grounded in real code, file paths, and git history