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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
AuthorGoogle
Release Date2025
Websitehttps://antigravity.google/
Documentationhttps://antigravity.google/docs
Technology TypeAI-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.

NarrativeAegis: AI Search Visibility Platform

NarrativeAegis: AI Search Visibility Platform

NarrativeAegis™ is an enterprise-grade AI Search Visibility (AISO) and reputation protection platform built for the generative search era. As search engines transition from lists of links to answering queries directly via generative AI summaries (like Google AI Overviews), brands lose visibility and control over their public narrative. NarrativeAegis solves this by providing a comprehensive auditing, benchmarking, and corrective action suite. Using Bright Data's high-performance SERP API, the platform bypasses geo-restrictions to execute multi-market, multi-lingual searches across informational, comparative, and transactional user intents. It extracts raw AI Overview contents, organic results, and citations in parallel. The cognitive layer, powered by Google Gemini 3.1 Flash, analyzes text blocks to compute exact sentiment scores, extract core claims, and evaluate competitor presence. These metrics feed into the proprietary AI Visibility Score (AVS) index, which weights presence rate, sentiment, share of voice, and geographic parity. Crucially, the platform maps cited websites to identify 'Poison Sources'—negative, outdated, or competitor-biased content influencing the AI's response. It ranks these sources using an impact vs. fixability framework and generates a step-by-step Corrective Action Playbook, giving PR and SEO teams clear, actionable strategies to reclaim their brand narrative. NarrativeAegis is wrapped in a premium, glassmorphic dashboard built using Next.js 15, custom HSL styling, and GSAP micro-animations. It operates with a zero-database footprint, utilizing React Context and LocalStorage to synchronize search history dynamically, ensuring high speed, maximum privacy, and seamless local evaluation.

Cortex — Goldman-Grade Financial Intelligence

Cortex — Goldman-Grade Financial Intelligence

Cortex bridges the critical information gap in retail and enterprise finance. Traditional infrastructure, including premium terminal seats, relies heavily on cached data structures and stale content loops. If a market-moving event occurs or an executive secretly changes their profile status, the lag before an official filing or public press release creates a blind spot where alpha is systematically lost. Cortex solves this by executing a zero-cache, live-web pipeline updated every five minutes. Powered entirely by Bright Data, Cortex orchestrates four foundational scraping layers simultaneously: the SERP API parallel-runs global news context across major financial publications; the Web Unlocker circumvents paywalls on primary geopolitical and institutional sources; the Scraping Browser manages heavy JavaScript rendering to pull executive shifts from professional networks and sentiment anomalies from high-priority social accounts; and the Web Scraper API structuralizes incoming regulatory SEC filings into clean, predictable JSON. When the pipeline detects a brand-new signal, an asynchronous multi-agent swarm fires 22 specialized nodes. This includes targeted fundamental analysts, alpha calculators tracking historical anomaly win-rates, and a custom Crash Predictor evaluating twelve early-warning systemic metrics. Synthesis is handled via DeepSeek Reasoner, providing a completely transparent, step-by-step chain of thought. Rather than generic summaries, the end output is a robust, 8-part institutional equity note displaying full mathematical formulas (ROIC, DCF, VaR), data validation confidence audits, and clear execution limits with macro stop-losses.

ShieldRadius AI

ShieldRadius AI

ShieldRadius AI bridges the gap between high-stakes threat detection and rapid revenue enablement. Built for the modern enterprise, it uses an event-driven, serverless state machine deployed on Vercel to turn open-web security indicators into immediate business action without hitting function timeout limits. How It Solves the Tracks: Track 3 (Security & Compliance): Features an automated, cron-triggered Threat Intelligence Agent that uncovers vendor-specific vulnerabilities, credential leaks, and compliance updates. A Risk Assessment Agent converts this into a structured, actionable threat footprint. Track 1 (GTM Intelligence): The moment a vulnerability is confirmed, a GTM Enrichment Agent tracks down accounts heavily reliant on that compromised tool. An Autonomous Outreach Agent then synthesizes this live security context into hyper-personalized executive briefs and switch-vendor outreach campaigns. Bright Data Integration: SERP API: Broad monitoring of news feeds and security advisories. Web Unlocker & Scraping Browser: Bypassing rigid enterprise bot-protection to safely map out status logs. Web Scraper API: Harvesters run asynchronously with webhook callbacks to pull enriched target account profiles and firmographics seamlessly under Vercel's serverless architecture.

OmniClaims Adjuster

OmniClaims Adjuster

OmniClaims Adjuster: El Futuro de la Liquidación de Siniestros En la actualidad, el procesamiento de reclamos de seguros es un proceso manual, lento y propenso a errores. OmniClaims Adjuster revoluciona el sector Insurtech mediante una arquitectura multi-agente totalmente autónoma construida sobre la familia de modelos Gemini 3.1 de Google. Diseñado para la AI Agent Olympics Hackathon, este sistema actúa como un ajustador de seguros experto. En lugar de depender de un solo modelo monolítico, el flujo de trabajo orquesta múltiples agentes especializados trabajando en paralelo y en tiempo real: 1. Agente de Extracción: Transforma las narrativas no estructuradas del cliente en datos estructurados estandarizados bajo esquemas estrictos de Pydantic. 2. Agente de Pólizas: Analiza los términos contractuales (PDFs) verificando límites, deducibles, exclusiones y coberturas con precisión milimétrica. 3. Agente de Visión (Daños): Aprovecha la multimodalidad nativa de Gemini 3.1 Pro para examinar fotografías de evidencias, evaluando la severidad y la congruencia del daño reportado. 4. Agente Antifraude: Detecta anomalías cruzando variables (ej. inconsistencias entre la historia del cliente y la evidencia visual) para emitir una puntuación de riesgo. 5. Agente Orquestador: Consolida todos los análisis en una decisión final holística (Aprobado, Rechazado o Revisión Manual). A nivel técnico, la plataforma cuenta con un backend en FastAPI y una interfaz Gradio con diseño premium glassmorphism. Priorizando la explicabilidad (AI Transparency), el sistema expone en la UI todo el Chain of Thought (Razonamiento) de los agentes. OmniClaims Adjuster no reemplaza al ajustador humano; lo empodera resolviendo automáticamente el 80% de los casos claros y entregando un dossier procesado de alta inteligencia para los reclamos complejos.

HEXFIRE — Break Your Agents Before Production

HEXFIRE — Break Your Agents Before Production

The Agentic Black Box: $4.8M is the average cost of a production AI failure because enterprises deploy non-deterministic agents blind. Traditional software fails predictably, but AI agents fail probabilistically. When an agent hallucinates a variable or fails to call a tool, it confidently carries that corrupted data downstream, infecting the entire pipeline. By the time anyone notices, the damage is done. The Solution: Deterministic Chaos Inspired by Netflix’s Chaos Monkey, HEXFIRE is the world's first Chaos Engineering platform purpose-built for autonomous AI agents. We deliberately break your agent workflows to show you exactly where they crumble. Instead of guessing, HEXFIRE lets you execute targeted strikes. You can inject 6 deterministic fault scenarios into any step of your pipeline: Hallucinations, Tool Timeouts, Adversarial Prompts, Context Corruption, Latency Spikes, and Permission Revocations. Technical Gravity (Beyond the Wrapper) Remove ALL LLM calls from HEXFIRE and you still have four custom, independent computer science systems. The AI enhances HEXFIRE; it doesn't define it: DAG Cascade Analysis: Agent pipelines are Directed Acyclic Graphs (DAGs). When a fault hits one node, HEXFIRE mathematically traverses the downstream edges to determine the "blast radius." Deterministic Resilience Scoring: We compute a hard, mathematical ★-to-★★★★★ safety rating based on Survival Rate and Fault Isolation. Cryptographic Proof: Every test execution is hashed into a SHA-256 tamper-evident compliance audit chain. Generative Forensics: Gemini 2.5 Flash analyzes the wreckage and generates an exportable forensic report explaining exactly what died and how to patch it. Sponsor Integration HEXFIRE utilizes Vultr Serverless Inference for ultra-low latency execution and massive concurrency during chaos testing spikes. We leverage Google Gemini 2.5 Flash for deep resilience analysis, forensic reporting, and robust 503 capacity fallback chains. Built solo by Shree Shah.

Synapse Corp AI

Synapse Corp AI

Synapse AI is an enterprise-grade multi-agent workflow automation platform designed to simulate how real organizations operate using autonomous AI agents. The platform includes specialized agents such as HR, CTO, CFO, CEO, and Risk Management agents that collaborate intelligently to perform tasks like AI-driven interviews, candidate evaluation, operational analysis, workflow automation, and executive decision-making. Unlike traditional AI assistants or single-agent chatbots, Synapse AI focuses on collaborative intelligence where multiple AI agents communicate, reason, and coordinate together to solve complex organizational workflows in real time. The system supports multimodal interactions including text, documents, reports, and speech inputs, allowing users to simulate real enterprise environments and automate time-consuming operational processes. For example, users can conduct AI-powered HR interviews, upload business reports for executive analysis, or generate strategic recommendations through coordinated AI agent discussions. Technically, the platform is built using Next.js, FastAPI, Gemini AI, Speechmatics, Supabase, Docker, and Vultr cloud infrastructure. The architecture uses scalable distributed services, asynchronous processing, and modular AI orchestration to ensure reliability, low latency, and production-style deployment readiness. Synapse AI demonstrates how autonomous AI systems can function like real organizational teams, helping businesses improve operational efficiency, reduce repetitive manual work, accelerate decision-making, and create scalable intelligent enterprise workflows for the future of AI-driven organizations.