Antigravity IDE is a lightweight, persistent environment where your AI assistant understands full context, runs experiments autonomously, and surfaces the best change — all without leaving the editor.
A persistent context loop that understands your full project, proposes changes, tests them, and keeps only what works — without leaving the editor.
The agent ingests your entire project — files, dependencies, git history, and runtime state — to build a persistent context model of what you're building.
Based on context, the agent generates a targeted edit: a new feature, a refactor, a bug fix, or an experiment. Changes live in a diff you can inspect before applying.
The agent runs tests, checks build output, measures performance, and evaluates against your project's own success criteria — all inside the same session.
If the change improves the metric — fewer bugs, faster tests, cleaner code — it stays. If not, it's discarded. Every iteration is a reviewable step.
Only the changes that survive evaluation get surfaced to you as a recommendation, complete with diff, test output, and a rationale for why it won.
The loop repeats. Each cycle builds on the last. Over time, the editor learns your patterns, preferences, and project conventions — it gets better the more you use it.
Not a chatbot bolted onto a text editor. A code editor re-architected for agent-assisted development from the ground up.
The editor maintains a live model of your project — every file, every import, every test. No more pasting code into a chat window. The agent already knows what you're working on.
Propose a hypothesis, and the agent forks a sandbox, runs the experiment, measures the result, and reports back — all without interrupting your flow.
Every proposed change comes with a clean diff, test output, and a natural language summary. You stay in control — approve, reject, or modify before accepting.
Experiments run under a configurable resource budget — time, tokens, compute. This keeps comparisons honest and prevents runaway agent loops.
Most AI coding tools automate code completion. Antigravity IDE automates the cycle of proposing an idea, testing it, and keeping the change only if it improves the project.
The agent never forgets what it's building. Every decision is informed by the full project — not just the current tab.
Every change is a clean diff with a rationale. The edit surface stays narrow enough to inspect before applying.
The development process itself becomes the thing being optimized — propose, test, keep, repeat. The agent improves with every cycle.
A clear explanation of what Antigravity IDE is, how the persistent-context loop works, and what makes it different from other AI-assisted editors.
Antigravity IDE is not a plugin or a chatbot overlay — it's a standalone editor built around a persistent context engine. Instead of sending snippets to an external assistant, the agent lives inside your project, understands your full dependency graph, and autonomously proposes and validates changes. The result is a tighter feedback loop: context never leaves the editor, experiments run in isolated sandboxes, and only the changes that pass your criteria reach your attention.
Start here if you want to understand the core concept, how it compares to existing tools, and what you need to get started.
Antigravity IDE is developed by a team of researchers and engineers focused on agent-assisted software development. The project builds on ideas from autonomous research loops, persistent context models, and fixed-budget experimentation.
Those tools are autocomplete or chat-assisted editors. Antigravity IDE is an autonomous agent loop — it proposes experiments, runs them, evaluates the results, and surfaces only the winning change. It doesn't just help you write code; it helps you decide what code to write.
The editor builds and maintains a live model of your entire project — file structure, imports, types, tests, git history, and runtime output. The agent doesn't need you to explain what you're building; it already knows.
Yes. Experiments run in isolated sandbox environments. The agent never modifies your working tree without explicit approval. Every proposed change is a reviewable diff.
Antigravity IDE is language-agnostic at the agent level. It understands any language with an LSP server. The experiment runner currently supports Python, TypeScript, Rust, Go, and JavaScript, with more being added weekly.
Yes. The CLI version lets you run the agent loop in CI/CD pipelines, headless environments, or as part of a larger automation workflow. Use it to propose, evaluate, and commit changes programmatically.
Every concept on this page is grounded in published research, public repositories, and technical writing — so you can verify the details yourself.
The source for the editor architecture, plugin API, context engine design, and quick-start instructions.
View on GitHub ↗How the persistent context model works — file indexing, dependency resolution, incremental updates, and the agent query protocol.
Read the design doc ↗A linked discussion that reflects how early users are adopting the editor and what they're building with it.
Join the discussion ↗