Hackathon In 13 days
November
Monday
09:30–20:30 2026 · San Francisco time
You sign up with the host. foundercal only links to it.
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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.
Check out visual of our AI Multiplayer Hackathon where AI agents make films, play games with you and interview you, plus try each sponsor's tool live to make it easy to understand at https://crewbasecollective.com/aim-hack-visual
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
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
Rules
Teams of 1 to 4. Solo builders are welcome, and teams can form on site
All projects must use Bruin, as it is the mandatory tool. Other sponsor tools must be used to qualify for their respective prizes.
Use AdaL to create demo videos showcasing your projects for presentation.
Other tools can also be used.
All code must be written during the event. Existing libraries and APIs are fine.
Submit a public repo link and a demo before 6:00 PM.
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
Ankit Tiwari: Senior Director @Fox
Naman Shukla: Founder @Casuro AI
Pratima Garg: AI Deployment Strategist @Freehand AI
Aria Shi: GTM Lead @ AdaL
Jax Koh: GTM Engineer @ AdaL
Anya Ozmen: Founder @ Gameer
Ismael Mehdid: Software Engineer @Colbat
Sarah Hatcher: Founder @ Kripke and Human Technology Alliance Institute
Amitabh Das: Founder @ Agent OS
Saurabh Khire: Software Engineer @ Govia
Hosts & Partners
AWS Builders Loft
AWS Builder Loft is a collaborative space where developers, startups, and innovators can connect, learn, and build with Amazon Web Services (AWS) technologies. It offers opportunities to explore AWS tools, get hands-on guidance from experts, and turn ideas into working solutions.
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
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