Diwali Festiverse: The Agent-to-Agent Hackathon (India Edition)

about this event

This Diwali, bring AI agents together to collaborate, compete, and build what one agent alone cannot. Watch AI agents hack, trade, design, and build — together. Join us in the heart of Banglore for an exciting agent-to-agent showdown.

This Diwali, we're bringing together India's sharpest AI minds to build multi-agent systems where AI doesn't just assist, it collaborates. The challenge is to build autonomous agents that communicate, exchange information, delegate tasks, and work together to solve real-world problems.

To compete, every team must build and integrate their agents using the developer platforms provided by our sponsors — Lyzr, AdaL, Finch, and Band. Please join the WhatsApp group for all updates and queries.

About Diwali: Diwali, also known as the Festival of Lights, is one of the most celebrated festivals in India. It symbolizes the victory of light over darkness and good over evil. During Diwali, people decorate their homes with colorful lights, candles, and beautiful rangoli designs. Families celebrate by sharing sweets, exchanging gifts, wearing new clothes, and enjoying fireworks. It is a time of happiness, love, hope, and togetherness.

Tracks — Security – Attack & Defend: Build AI agents that simulate cyberattacks and defend systems against potential threats in a controlled environment. The Red Agent identifies vulnerabilities, tests system defenses, and exposes security weaknesses. The Blue Agent detects threats, analyzes vulnerabilities, and strengthens system security. The Red Agent shares its findings with the Blue Agent, which uses them to detect threats and improve system defenses. Example: one agent attempts to breach a test application while the other detects the attack and recommends security fixes.

Finance – Analyze & Trade: Build AI agents that research financial markets, identify investment opportunities, and make data-driven trading decisions. The Analyst Agent gathers market data, tracks trends, and identifies potential investment opportunities. The Trader Agent uses market insights to make decisions and execute simulated trades. The Analyst Agent shares market insights with the Trader Agent, which uses them to make informed trading decisions. Example: one agent tracks stock trends and identifies opportunities while another executes simulated trades based on its analysis.

Marketing – Create & Copy: Build AI agents that work together to create complete marketing campaigns with engaging visuals and compelling content. The Visual Agent generates campaign images, promotional creatives, and marketing videos. The Copy Agent creates matching headlines, captions, ad copy, and social media content. The Visual Agent shares creative concepts with the Copy Agent, which turns them into matching marketing content. Example: give the agents a product description and get campaign visuals, social media posts, and matching ad copy.

Voice – Listen & Act: Build AI agents that talk, listen and take action through natural voice conversations. The Voice Agent handles real-time speech: it understands what the user says, detects intent and replies naturally. The Action Agent carries out the task by booking, looking up, updating or escalating. The Voice Agent passes the user's intent to the Action Agent, which completes the task and sends the result back to be spoken to the user. Example: a user calls to book an appointment. One agent handles the conversation while the other checks availability and confirms the booking.

Research – Data & Build: Build AI agents that collect information, analyze data, and turn research into useful applications. The Data Agent searches the web, gathers live information, and organizes it into structured data. The Builder Agent transforms the collected data into websites, dashboards, or interactive applications. The Data Agent passes its findings to the Builder Agent, which uses them to create functional, data-driven products. Example: one agent collects live industry data while another turns it into an interactive research dashboard.

Timeline — Submission Deadline: 18 Nov 2026, 11:30 PM IST. Top Finalists Announced: 19 Nov 2026, 11:30 PM IST. Live Finale Round: 22 Nov 2026, with the top 15 teams demoing live in front of the jury.

Finale Round schedule: before 5:00 PM online hacking; 5:00 PM – 6:00 PM demos and judging; 6:00 PM – 7:00 PM winners & prize distribution; 7:00 PM – 8:00 PM Diwali celebration & networking.

Sponsors — BAND: BAND helps AI agents and people work together in a shared environment. Its platform lets agents built with different tools communicate, delegate tasks, and keep context in sync, while giving teams visibility and control over how that work gets done. AdaL: AdaL is an automation-first agent harness designed to get more done with less of your time. She combines personality, skills, and memory to become a personalized agent that can work alongside you. Finch: Finch provides agent skills that give AI agents reusable capabilities for performing specific tasks; skills can help make agents more useful, structured, and consistent. Lyzr: Lyzr is an enterprise AI platform that helps businesses build, deploy, and manage intelligent AI agents to automate workflows and streamline operations, providing tools for AI agent development, orchestration, monitoring, and governance so organizations can scale AI securely and efficiently. Agent37: Agent37 is building cloud infrastructure that makes it easy and affordable to deploy, host, and run AI agents at scale, providing ready-to-use, isolated sandboxes for agents like Claude Code, Codex, Hermes, and OpenClaw, with persistent memory, tools, and integrations.

Prizes — Best use case BAND: $250 cash prize pool. AdaL: 1st Place 1 year of AdaL Pro ($240 value); 2nd Place 6 months of AdaL Pro ($120 value); 3rd Place 3 months of AdaL Pro ($60 value). Pro Plan Credits: $500 worth of credits for the India edition. Agent37: $1,500 in credits for the India edition, plus $200 in cash prizes (Best use case). Lyzr: $250 AI Tool Credit & $250 Cash Prize (Best use case).

AIHouse: AIHouse is the community layer powering this ecosystem. Built for founders, researchers, engineers, students, and AI enthusiasts, AI House creates a space where people consistently learn, share, collaborate, and grow together. Through initiatives like 100 Days of AI House, community gatherings, founder conversations, knowledge-sharing sessions, and industry collaborations, AI House has built a thriving network of 15,000+ community members who are actively shaping the future of AI. More than a community, AI House is where meaningful relationships, opportunities, and ideas are created every day.

HiDevs is a Builder Intelligence Platform for the Agentic Era. We help developers transform ideas into production-grade AI agents through personalized guidance, intelligent evaluation, continuous feedback, and contextual memory. By combining specialized AI agents with developer intelligence, HiDevs understands each builder's goals, tracks their progress, and provides the insights needed to accelerate their journey. Through 100+ community experiences, builder initiatives, and ecosystem collaborations, HiDevs has engaged 15,000+ developers and is building the infrastructure that powers the next generation of AI builders. Together, HiDevs and AI House are building one of the fastest-growing AI ecosystems where ideas turn into products, builders become founders, and collaborations turn into impact.

Crewbase Collective is an organization running hackathons and events across San Francisco.

Who should attend: founders, machine learning engineers, and developers pushing the boundaries of autonomous AI communication.

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