Theater Documentation

Welcome to the official documentation for Theater, a WebAssembly actor system designed for building secure, reliable, and transparent AI agent infrastructure.

How to Use This Documentation

This documentation is organized into sections:

Introduction: Understand why Theater exists and the challenges it addresses in AI agent systems
Core Concepts: Learn what Theater is and its fundamental principles
Use Cases: Explore how Theater can be applied to build robust AI agent systems
User Guide: Find practical information on using Theater in your projects
Development: Learn how to build agents and extend Theater's functionality
Services: Explore the built-in services and handler systems
API Reference: Access detailed API documentation

The Three Pillars of Theater

Theater is built on three foundational pillars that make it ideal for AI agent infrastructure:

WebAssembly Components & Sandboxing: Security boundaries and capability controls for agent containment
Actor Model & Supervision: Isolated agents, message-passing communication, and fault tolerance through supervision
Traceability & Verification: Comprehensive tracking of all agent actions for transparency and debugging

Understanding these pillars provides the foundation for building effective AI agent systems with Theater.

Quick Links

Why Theater? - Understand the challenges of AI agent systems that Theater solves
Core Concepts Overview - Learn the fundamental ideas behind Theater
Building AI Agent Systems - Explore how to build robust agent architectures
CLI Reference - Command-line interface documentation
Building Your First Agent - Start creating with Theater

Theater for AI Agents

Theater provides the infrastructure needed to build trustworthy AI agent systems:

Secure Execution: Run agents in sandboxed environments with precise capability controls
Agent Orchestration: Create hierarchies of specialized agents that work together
Complete Traceability: Capture and analyze every action taken by agents
Failure Resilience: Automatically recover from agent failures through supervision
Transparent Operation: Build trust through comprehensive visibility into agent behavior

Additional Resources

GitHub Repository - Source code and issue tracking