Multiplayer AI Hackathon (Thanksgiving Special)

Over 2K of cash prizes and exciting credits and swags

🎟️ REGISTER FIRST (both are required)

1️⃣ AWS registration, needed to enter the building http://events.builder.aws.com/d/fczr5q

2️⃣ Join the Discord https://discord.gg/SkCv8UbvT3

Space is limited.

⚠️ ENTRY REQUIREMENTS

• 18+ only
• Valid government-issued physical photo ID at check-in. Digital IDs will not be accepted.
• No scooters or bikes inside any Amazon building. No on-site parking.

AI has learned to talk. Now it is learning to act: to make its own decisions, collaborate with other agents, and share spaces with humans.

Multiplayer AI is a hackathon for building AI agents that behave like living characters. They move, interact, compete, cooperate, decide outcomes, and even teach humans. There is no single chatbot and no fixed script, only agents with their own goals, personalities and minds, in worlds you create.

Whether you are a developer, designer, game builder, ML engineer, product manager or storyteller, this is your chance to build what comes after chat: AI that plays, performs and teaches.

The Challenge

Most AI today is one human talking to one assistant. The next step is multiplayer: many agents interacting with each other and with humans, where the outcome is not scripted but emerges from what the agents decide.

Your challenge is to build an experience where multiple AI agents come alive as visible characters that think, act, move and make decisions, shaping a film, a game, or a real person's growth.

What to Build

Choose one of the three tracks and build a working, visual, multi-agent experience.

Every project must include

• Characters: each agent has a visual identity, such as an avatar, sprite, or 2D or 3D model
• Visual output: an animated video, a running simulation, or a playable game
• Movement and action: characters move, react and act on screen, not just output text
• At least three agents with their own goals, roles or personalities
• Visible decisions: a log or ledger showing what the agents decided and why

Projects score higher with

• 3D: 2D projects are welcome, but 3D is encouraged and scores higher
• ML and trained agents: agents that learn, adapt or are trained, through reinforcement learning, fine-tuning, learned behaviour, or memory that changes their decisions over time
• Voice: agents that speak with their own voices

Tracks

Track 1: Agent Animated Film

Create a short animated film where the plot is written by agents, not by you. You set up the world, the characters and the opening event. From there the agents interact, make choices, and decide how the story ends.

What this track involves

• You set the world, the characters and the opening event
• Agents interact and decide every plot beat, including the ending
• Characters are animated, moving and reacting on screen
• The same setup produces different endings across runs
• The output is a 1–3 minute animated short

Examples: A heist crew with a hidden traitor, where the agents decide whether the heist succeeds. Survivors on a sinking spaceship fighting over a single escape pod. A courtroom where lawyer, witness and jury agents reach their own verdict.

Track 2: Co-op Multiplayer Game

Build a multiplayer game where humans and AI agents share the same world as equal players. The agents are not NPCs waiting for instructions. They have their own goals, memories and plans, and they act whether or not a human is involved.

What this track involves

• At least 2 human players and 3 agent players in one visual game world
• Agents act independently with their own goals and memory
• Agents can ally with players, trade with them, compete or betray them
• At least one major world event is caused by agents alone

Examples: A survival island where agent tribes choose to welcome or betray human players. A trading town where agent merchants strike deals and hold grudges. A social deduction game where the impostor could be a human or an agent.

Track 3: Grow with Agents

The roles are reversed. Usually humans train AI; here, agents train humans. Agents step into expert roles such as interviewer, examiner, professor, coach, boss or client, and the human learns, practises, gets tested and improves through a visual, interactive simulation.

What this track involves

• Agents play expert roles such as interviewer, examiner, coach or boss, as visible characters
• At least 2–3 agents coordinate about the human
• Agents adapt to how the human is performing
• The session ends with a clear result and evidence-based feedback

Examples: A 3D interview panel that questions you, deliberates and gives a verdict. An office simulator with an agent boss, teammates and a difficult client. A driving test with an agent examiner in a simulated city. A sales call where you pitch to a buying committee that pushes back on every claim.

Who Should Join

Developers, game builders, ML engineers, 3D artists, designers, product managers and storytellers. Join solo or in a team of up to four.

Build agents that do not just talk. Build agents that play, perform and teach.

Sponsors

Bruin (Main Sponsor)

Bruin is an all-in-one data and AI platform that eliminates fragmented data tools by bringing everything into one unified workspace. It transforms raw data into actionable AI-powered insights in seconds, directly within Slack, Microsoft Teams, and your browser. Check out https://getbruin.com

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. Check out https://adalagent.ai

Tenki

Tenki provides sandbox environments, cloud compute, and runners for executing code and workloads. It gives builders a place to experiment, run, and scale their work. Check out https://tenki.cloud

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. Check out https://www.band.ai

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. Check out https://www.finchtech.ai

Casuro

Casuro.ai is an AI-powered recruitment platform that helps companies streamline hiring through intelligent assessments, voice AI interviews, and real-world case study challenges. It evaluates candidates based on their skills, problem-solving abilities, and how effectively they work with AI, enabling teams to make faster, fairer, and more informed hiring decisions. Check out casuro.ai

Schedule

9:30 AM – 10:30 AM: Welcome & Networking

10:30 AM – 11:30 AM: Sponsor Demos & Talks

11:30 AM – 1:00 PM: Hacking

1:00 PM – 2:00 PM: Lunch Break

2:00 PM – 6:00 PM: Hacking

6:00 PM – 7:00 PM: Demos & Judging

7:00 PM – 8:30 PM: Final Demos & Winners Announcement

Prizes

Best use of Bruin

• 1st Place: $1000 cash prize
• 2nd Place: $500 cash prize

Best use of Band: $500 cash prize

Best use of 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)

More prizes TBD

Judges & Mentors

• Merve Isler: Founder @ Marvelous & AI Insiders ex-Google
• Pratima Garg: AI Deployment Strategist @Freehand AI
• Aria Shi: GTM Lead @ AdaL
• Jax Koh: GTM Engineer @ AdaL
• Anya Ozmen: Founder @ Gameer
• Sarah Hatcher: Founder @ Kripke and Human Technology Alliance Institute
• Amitabh Das: Founder @ Agent OS
• Saurabh Khire: Software Engineer @ Govia

Hosts & Partners

AdaL

AdaL is the automation-first agent harness. AdaL stands out with Browser Use combined with multi model plans, comes with 10 major LLM providers and goes to audio, image and video generation. You can code, operate and GTM all at once. Check out https://adalagent.ai

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. Check out https://www.finchtech.ai

Organized by Crewbase Collective

Crewbase Collective is organization running hackathons and events across the San Francisco. Check out https://crewbasecollective.com