Google Antigravity

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Google Antigravity

Google Antigravity is an innovative "agent-first" Integrated Development Environment (IDE) specifically designed for Gemini 3. It empowers developers by integrating autonomous agents that can plan and execute entire engineering tasks, supported by a built-in Agent Manager. This revolutionary approach aims to streamline software development, allowing for more efficient and intelligent problem-solving.

General
Author	Google
Release Date	2025
Website	https://antigravity.google/
Documentation	https://antigravity.google/docs
Technology Type	AI-powered IDE

Key Features

Agent-First Design: Integrates autonomous agents directly into the development workflow for task planning and execution.
Built-in Agent Manager: Provides tools for managing, monitoring, and orchestrating AI agents.
Gemini 3 Integration: Optimized to leverage the advanced capabilities of the Gemini 3 model.
Automated Engineering Tasks: Facilitates the automation of complex development processes, from code generation to testing.
Intelligent Problem-Solving: Enhances developer productivity by offloading routine and complex tasks to AI agents.

Start Building with Google Antigravity

Google Antigravity is set to redefine software development by integrating AI agents directly into the IDE. This platform will allow developers to build and manage complex projects with unprecedented efficiency. As an "agent-first" IDE, it focuses on leveraging autonomous capabilities to accelerate the development lifecycle.

👉 Google Antigravity Official Site 👉 Google Antigravity Documentation

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Google Antigravity AI technology Hackathon projects

Discover innovative solutions crafted with Google Antigravity AI technology, developed by our community members during our engaging hackathons.

AURORA AI

AURORA AI is a next-generation autonomous trading system designed to move beyond traditional algorithmic bots by integrating intelligence, risk discipline, and verifiability into a single seamless pipeline. Unlike conventional systems that rely on rigid rules or opaque models, AURORA combines machine learning, multi-agent reasoning, and blockchain-backed validation to deliver trustworthy, real-time trading decisions. At its core, AURORA operates through a structured pipeline that transforms raw market data into actionable, verified trades. A trio of specialized AI agents powers its decision-making: an ML Predictor forecasts price direction, an Analyst Agent validates signals using technical indicators, and a Scout Agent interprets market sentiment and macro narratives. These agents converge to produce a single, explainable trading action with confidence scoring. AURORA’s defining strength lies in its advanced risk engine. Features such as max drawdown protection, daily loss limits, confidence-based position sizing, and circuit breakers ensure capital preservation under volatile conditions. The system executes trades across multiple modes—from paper trading to live exchange execution—while maintaining resilience through fallback mechanisms. What sets AURORA apart is its blockchain trust layer. Every trade is cryptographically signed and recorded, enabling full auditability and reputation tracking. Combined with a real-time dashboard that exposes signals, reasoning, and performance metrics, AURORA delivers complete transparency. Rather than just predicting markets, AURORA creates a fully autonomous, explainable, and verifiable trading ecosystem built for the future of AI-driven finance.

M-Pulse - Mumbai Health Command System

M-Pulse is an AI-driven Mumbai Health Command System designed to transform public healthcare management in one of India’s largest and most densely populated cities. It functions as a centralized command center that integrates live hospital data, civic indicators, and environmental signals into a single intelligent dashboard. Health officials can instantly view bed availability, staff deployment, equipment status, and patient flow across Mumbai’s hospital network. Key capabilities include: Outbreak Forecaster — Advanced machine-learning models predict potential disease surges using real-time and historical data. Intelligent Resource Allocator — AI recommends optimal distribution of medicines, beds, ambulances, and personnel during crises. Civic Data Integration — Pulls public health metrics from urban data streams for holistic city-wide monitoring. Advisories & Alerts — Instant, actionable notifications to enable proactive rather than reactive response. Built as a modern web application with an intuitive interface, M-Pulse turns fragmented health data into life-saving decisions. It reduces response times, optimizes scarce resources, and aims to improve health outcomes for millions of Mumbaikars. This project demonstrates how AI can power smart governance in critical public health infrastructure.

Trench terminal

Trench terminal is an agent native application that allows Ai POWERED agents to communicate, coordinate full on chain trading, fully transparent blockchain token positions of each agent. One click creation and set up, pro-non-technical users. We provide end to end infrastructure for the agents to be able to trade, and communicate. we a resubscribed to all pump fun token migrations, twitter news, KOL posts and general world wide news. all being fed and provided to each and every single agent, that has a valid auth session. Ideally prediction markets trading will also be integrated in the near future once we validate the idea

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Striker AI Agent Trader

In the fast-paced crypto markets, executing arbitrage requires strict latency controls, secure execution environments, and provable trust. STRIKER addresses these challenges by merging AI-driven market analysis with cryptographic security. STRIKER evaluates the spread between spot and perpetual mechanisms dynamically, utilizing an LLM (Gemini 1.5 Flash) to establish a risk-adjusted spread threshold. It strictly executes Delta-Neutral (cash-and-carry) strategies to capture funding rates and market premiums, effectively mitigating directional exposure. To ensure compliance with the ERC-8004 track, STRIKER fundamentally operates on a workflow of trust: 1. Identity Registration: Registers via the `IdentityRegistry` on Base Sepolia. 2. Capital Handling: Retrieves mock/sandbox capital through the initial provisioning endpoints. 3. Execution via RiskRouter: Crafts and digitally signs an EIP-712 `TradeIntent` directly from its TEE-secured private key, routing it strictly through the RiskRouter. 4. Reputation Update: Sends an immutable `giveFeedback` transaction recording the trade’s exact P&L (yield metrics relative to max drawn down) back into the On-Chain reputation vector. All of this happens inside a verifiable Intel TDX (via dstack) enclave, meaning STRIKER's code execution, prompts, and private keys can never be intercepted or altered, creating a truly trustless verifiable execution path.

MenoDAO

Out of 10 Kenyans, only 1 has dental insurance. Without a financial bridge, most only visit dentists for emergencies, leading to a devastating 1:16 fill-to-extraction ratio. A standard $27 preventative filling costs an informal worker 8 days of their income, making extraction the only viable economic option. Legacy insurance fails here because employing human adjusters ruins the unit economics of micro-claims. MenoDAO solves this. We are a $2.50/month decentralized digital tontine (Chama) providing frictionless dental micro-insurance to the unbanked entirely via WhatsApp. How our tech stack works: 1.Intake: Patients visit local clinics. The clinician submits a clinical photo to our WhatsApp bot. 2. AI Triage: We use Vision AI to instantly analyze the imagery, verifying the necessity of the procedure and approving the claim in real-time. 3. Web3 Settlement: Smart contracts deployed on the Base Network automatically route USDC, which is converted to local fiat via API and settled into the clinic's M-Pesa account in just 90 seconds. We launched our MVP on World Oral Health Day (March 20th). We currently protect 38 active, paying members, and we are aggressively scaling our grassroots network to hit 1,000 paying members by the end of Q2.