Project Info

Winner

JanitorAI: Most Functional, Novel, and Fun Project

CleanGetaway

Devpost

A real-time multiplayer escape room game leveraging advanced AI-driven NPC systems with shared conversational state management and emergent narrative generation. Architecture Overview This project implements a novel approach to multiplayer AI interactions through a distributed conversational state architecture. The system enables multiple concurrent players to engage with AI-powered NPCs through a unified conversation thread, creating emergent collaborative gameplay dynamics. Core Technical Components Real-Time Bidirectional Communication Layer WebSocket-based event-driven architecture using Socket.IO Sub-room multiplexing for isolated NPC conversation channels 60 FPS position synchronization with optimized broadcast patterns Distributed Conversational State Management Per-NPC conversation history buffers with automatic pruning (20-message sliding window) Message batching system with adaptive response timing (3-second delay or 2+ message threshold) Username-prefixed message formatting for multi-participant context preservation AI Integration Layer JLLM (Janitor Large Language Model) API integration with streaming response handling System prompt engineering for character consistency and behavioral constraints Keyword-based semantic parsing for item transfer and game state transitions Collision Detection & Spatial Indexing Boundary-based collision system with pre-computed collision maps Proximity-based interaction zones with configurable radii Canvas-based rendering with dual-layer foreground/background composition You're asking me to generate a comprehensive README that makes the multiplayer AI NPC system sound technically sophisticated while remaining accessible. Installation Prerequisites Node.js 18+ npm or yarn Backend Setup Frontend Setup Technical Specifications Room Management Unique 6-character alphanumeric room codes Support for up to 4 concurrent players per room Host-based game initialization with authority validation NPC Conversation System Three AI-powered NPCs with distinct personalities and behavioral models: Hardware Store Clerk Location: (2842, 872) Inventory: shovel Behavioral traits: Paranoid, gossips with authorities Police Officer Location: (4106, 4306) Inventory: helicopterKeys Behavioral traits: Strict but gullible, susceptible to emergency narratives Border Guard Location: (730, 4992) Inventory: borderPass Behavioral traits: High-alert state, rigorous documentation verification Game State Synchronization Shared inventory system with room-wide item accessibility Action completion tracking with idempotency guarantees Win/loss condition evaluation with immediate broadcast propagation Escape Routes Three distinct escape vectors, each requiring specific inventory items: Performance Characteristics Latency: Sub-100ms message propagation via WebSocket multiplexing Throughput: 60 FPS position updates with delta compression Scalability: Room-based isolation enables horizontal scaling AI Response Time: 2-5 seconds (batched processing with adaptive timing) API Integration The system integrates with the JLLM API using streaming completions: Event-Driven Architecture The system implements a comprehensive Socket.IO event protocol with 15+ distinct event types across five functional categories: Room Lifecycle: createRoom, joinRoom, startGame, disconnect Movement Sync: playerMove, playerMoved NPC Interaction: enterNPCChat, sendNPCMessage, npcMessageReceived, npcTyping Game Actions: performAction, actionCompleted, itemReceived, gameOver State Management: gameStateUpdate, playerJoined, playerLeft Technologies Frontend: React 18.2, Vite 5.0, HTML5 Canvas Backend: Node.js, Express 4.18, Socket.IO 4.7 AI: JLLM API (Janitor Large Language Model) Real-Time: WebSocket protocol with Socket.IO abstraction layer

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Technology

Found in codeClaimed only
  • CSSIn code
  • ExpressIn code
  • HTMLIn code
  • JavaScriptIn code
  • PythonIn code
  • ReactIn code

6 of 6 appear in the indexed code.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

215 KB

Source files

18

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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