Murmur

Multi-agent social media simulation engine

Upload any document. Generate a knowledge graph. Simulate how hundreds of AI agents react on social media — in real time.

Quick Start · Architecture · Setup Guide · API Reference · Contributing

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What is Murmur?

Murmur turns any text document into a living social media simulation. Give it a news article, a policy memo, or a product announcement — it extracts every person, company, and organization, builds a knowledge graph of their relationships, generates unique AI personas for each entity, and then simulates how they'd react on Twitter and Reddit.

Every agent has its own personality, opinions, communication style, and social network. They post, reply, argue, like, and repost — all streamed to your browser in real time.

Features

**Knowledge Graph Engine**

• Automatic ontology generation from any text document (entity types + relationship types)
• Named Entity Recognition extracts every person, company, and organization
• Relationship extraction maps connections between entities
• Interactive D3.js force-directed graph visualization with edge labels

**Simulation Engine**

• 100-200+ AI agent personas generated per simulation, each with unique personality, MBTI type, communication style, stance, and opinions
• Three-tier agent system: Key Opinion Leaders (tier 1), Active Participants (tier 2), Crowd (tier 3)
• Dual-platform simulation: Twitter (short, punchy posts with hashtags) and Reddit (long-form analysis and debate)
• Opinion dynamics with SIR contagion mod