Open Antigravity

Open-Antigravity

Download The Open-Source, Universal AI Gateway for Agentic Development

An open, community-driven effort to build a truly model-agnostic alternative to proprietary agentic coding platforms.

Open-Antigravity is not just another code editor or AI assistant. It's an ambitious open-source project to build a web-native, agent-first integrated development environment (IDE). Unlike proprietary platforms that lock you into a single AI ecosystem, Open-Antigravity is designed from the ground up to be a universal gateway to any LLM. Our goal is to create a platform where developers can delegate complex tasks to autonomous AI agents, powered by the models of their choice.

This project is for you if you believe in:

• True Model Freedom: Building a future that isn't tied to a single AI provider.
• Democratizing AI: Making state-of-the-art agentic development accessible to everyone.
• Transparency & Extensibility: Creating an open core that the community can shape, extend, and trust.
• Self-Hosting & Privacy: Giving you full control over your code, your data, and your AI connections.

✨ Core Features (The Vision)

We aim to build a platform that redefines developer productivity. Here are the key features we are building towards:

• 🌌 Best of All Worlds: Aims to fuse the best features of Claude Desktop, Cursor, Windsurf, Kiro, Trae, Trae CN, Qoder, and Antigravity into a single, cohesive experience.

• ✨ Google's Cutting Edge: Incorporates the powerful code-mending capabilities of Google CodeMender and the advanced reasoning of Google Jules to provide state-of-the-art code generation, debugging, and understanding.

• 🔒 Privacy First: No code information, environment information, OS information or user information or usage pattern would be sent to google.

• 🔌 Universal LLM Gateway:

Break free from vendor lock-in. Open-Antigravity is designed as a universal translation layer for Large Language Models. Connect to anything from OpenAI's GPT-5, Anthropic's Claude, and Google's Gemini to open models like Llama, Grok, and Qwen, or specialized APIs like Deepseek and Kimi. A unified interface means your agents and tools work seamlessly across all of them.

• 🤖 Agent-First Workflow:

Delegate high-level tasks like "implement a new API endpoint for user authentication" or "refactor the database schema and update all related services" to AI agents powered by your chosen LLM.

• 🧠 Multi-Agent Collaboration:

Spawn multiple agents that can work in parallel or collaborate on a single goal. For example, one agent writes the code, a second writes the tests, and a third verifies the changes in a browser.