open-antigravity and Antigravity2api

The first tool provides an open-source implementation of antigravity functionality, while the second wraps an existing antigravity API into an OpenAI-compatible interface, making them **complements** that can be used together—the second could expose the first's capabilities through a standardized API gateway.

open-antigravity
54
Established
Antigravity2api
38
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 13/25
Community 21/25
Maintenance 13/25
Adoption 4/25
Maturity 9/25
Community 12/25
Stars: 301
Forks: 54
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 5
Forks: 1
Downloads:
Commits (30d): 0
Language: JavaScript
License:
No Package No Dependents
No Package No Dependents

About open-antigravity

ishandutta2007/open-antigravity

🚀🪐🌕🌑☄️🛸 Opensource equivalent of Google's Antigravity

Implements a modular, container-native architecture with a FastAPI/Node.js orchestrator that routes requests across a pluggable AI model gateway supporting OpenAI, Anthropic, Gemini, and open-source LLMs. Features dual interfaces—a VSCodium-based editor and a manager view for spawning and coordinating multi-agent workflows—with verifiable artifacts (task plans, screenshots, test results) to establish trust in autonomous code generation and refactoring tasks.

About Antigravity2api

elgatomaleante12/Antigravity2api

🚀 Transform Google Antigravity API into an OpenAI-compatible gateway, featuring multi-account support, token management, and real-time monitoring.

I appreciate you sharing this, but I need to be honest: the README provided doesn't contain the technical depth needed to write an accurate summary beyond the GitHub description. The README focuses on installation and general UI/UX benefits ("user-friendly interface," "cross-platform compatibility") rather than architecture, technology choices, or integration details. To write a substantive technical summary, I'd need information about: - **Architecture**: How does it proxy/transform requests to the Antigravity API? What's the backend stack? - **Token management implementation**: How are credentials stored and rotated across accounts? - **Real-time monitoring specifics**: What metrics are exposed? How (webhooks, polling, streaming)? - **Integration points**: What frameworks does it target? (Node.js, Python, etc.) - **Tech stack**: Languages, libraries, databases used **Could you provide:** 1. A more complete README (or link

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