Core Runtime - ElizaOS Documentation

The Problem

Building production AI agents is hard. You’re juggling:

Plugin management across multiple providers and capabilities
State persistence that doesn’t break between restarts
Multi-agent orchestration without race conditions
Deployment complexity from local dev to serverless edge

Most frameworks give you primitives. You still wire everything together yourself.

5 minutes to your first agent. No infrastructure setup, no config files to manage. Just code.

Quick Start with ElizaOS

The ElizaOS class handles configuration, plugin resolution, and multi-agent orchestration automatically.

import { ElizaOS } from '@elizaos/core';

// Create the orchestrator
const elizaOS = new ElizaOS();

// Add agents with character and plugins
const agentIds = await elizaOS.addAgents([
  {
    character: {
      name: 'Assistant',
      bio: ['A helpful AI assistant'],
      system: 'You are a helpful assistant.',
    },
    plugins: ['@elizaos/plugin-sql', '@elizaos/plugin-openai'],
  }
]);

// Start all agents
await elizaOS.startAgents();

// Send a message and get response
const result = await elizaOS.handleMessage(agentIds[0], {
  entityId: userId,
  roomId: roomId,
  content: { text: 'Hello!', source: 'web' }
});

console.log(result.processing?.text);

Add Capabilities

Actions, Providers, and Evaluators

Define Personality

Character configuration

Deploy Anywhere

Local, Docker, Serverless, Edge

Connect Platforms

Discord, Telegram, Twitter, and more

Deployment Patterns

Serverless / Edge Deployment

For serverless environments, use ephemeral mode:

// Ephemeral mode - runtime not stored in registry
const [runtime] = await elizaOS.addAgents([{
  character,
  plugins,
  databaseAdapter: cachedAdapter, // Pre-initialized DB
}], {
  ephemeral: true,
  skipMigrations: true,
  autoStart: true,
  returnRuntimes: true,
});

// Use runtime directly (no registry lookup)
const result = await elizaOS.handleMessage(runtime, {
  entityId: userId,
  roomId: roomId,
  content: { text: 'Hello!', source: 'lambda' }
});

Async Mode with Callbacks

For WebSocket or streaming scenarios:

await elizaOS.handleMessage(agentId, message, {
  onResponse: async (content) => {
    await socket.emit('message', content.text);
  },
  onStreamChunk: async (chunk, messageId) => {
    await socket.emit('chunk', { chunk, messageId });
  },
  onError: async (error) => {
    console.error('Agent error:', error);
  },
  onComplete: async () => {
    console.log('Processing complete');
  }
});

Multi-Agent Communication

Send messages to multiple agents in parallel:

const results = await elizaOS.handleMessages([
  {
    agentId: researchAgent,
    message: { entityId, roomId, content: { text: 'Research topic X', source: 'internal' } }
  },
  {
    agentId: writerAgent,
    message: { entityId, roomId, content: { text: 'Prepare outline', source: 'internal' } }
  }
]);

Agent Discovery

// By ID
const agent = elizaOS.getAgent(agentId);

// By name
const assistant = elizaOS.getAgentByName('Assistant');

// All agents
const allAgents = elizaOS.getAgents();

// Multiple by IDs
const selected = elizaOS.getAgentsByIds([id1, id2]);

// Multiple by names
const team = elizaOS.getAgentsByNames(['Researcher', 'Writer']);

Events

ElizaOS extends EventTarget for lifecycle events:

elizaOS.addEventListener('agent:started', (e) => {
  console.log(`Agent ${e.detail.agentId} started`);
});

elizaOS.addEventListener('message:sent', (e) => {
  console.log(`Message ${e.detail.messageId} sent in ${e.detail.mode} mode`);
});

// Available events:
// agent:added, agent:started, agent:stopped, agent:deleted
// agents:added, agents:started, agents:stopped, agents:deleted
// agent:registered, agent:updated
// message:sent, messages:sent
// mode:editable

Health Monitoring

// Check agent health
const health = await elizaOS.healthCheck();
// Map<UUID, { alive: boolean, responsive: boolean, memoryUsage?: number, uptime?: number }>

// Validate API keys
const keyStatus = await elizaOS.validateApiKeys();
// Map<UUID, boolean>

What You Get

Feature	Without ElizaOS	With ElizaOS
Plugin resolution	Manual imports, version conflicts	Auto-discovery, dependency ordering
Database setup	50+ lines boilerplate	Zero-config SQLite or Postgres
Multi-agent	Build coordination from scratch	`handleMessages([...])`
Streaming	Implement SSE/WebSocket yourself	Built-in with callbacks
State management	Manual context threading	Automatic composition
Platform integration	Custom adapters per platform	Plugin ecosystem

System Architecture

The elizaOS runtime follows a modular, plugin-based architecture that orchestrates all agent functionality. For lifecycle details, see Runtime and Lifecycle. For extension architecture, see Plugin Architecture.

Core Components

The runtime orchestrates these essential components:

AgentRuntime: Central orchestrator managing agent lifecycle
Plugin System: Extends functionality through modular components
Memory System: Hierarchical storage for conversations and knowledge
State Management: Aggregates context from multiple sources
Service Layer: Background processes and integrations

For related documentation, see Plugin Architecture, Memory, and Services.

AgentRuntime Class

The AgentRuntime class is the central engine that manages agent lifecycle, processes messages, and coordinates all system components.

Core Interface

interface IAgentRuntime extends IDatabaseAdapter {
  // Core properties
  agentId: UUID;
  character: Character;
  providers: Provider[];
  actions: Action[];
  evaluators: Evaluator[];
  services: Service[];
  
  // Action processing
  processActions(message: Memory, responses: Memory[], state?: State): Promise<void>;
  composeState(message: Memory, state?: State): Promise<State>;
  evaluate(message: Memory, state?: State): Promise<void>;
  
  // Component registration
  registerAction(action: Action): void;
  registerProvider(provider: Provider): void;
  registerEvaluator(evaluator: Evaluator): void;
  registerService(service: Service): void;
  
  // Service management
  getService<T>(name: ServiceType): T;
  stop(): Promise<void>;
  
  // Model management
  useModel<T extends ModelTypeName>(modelType: T, params: ModelParamsMap[T], provider?: string): Promise<ModelResultMap[T]>;
  registerModel(modelType: ModelTypeName, handler: ModelHandler, provider?: string, priority?: number): void;
  getModel(modelType: ModelTypeName, provider?: string): ModelHandler | undefined;
  
  // Event system
  emit(eventType: EventType, data: any): Promise<void>;
  on(eventType: EventType, handler: EventHandler): void;
}

Key Responsibilities

1. Action Processing

The runtime orchestrates action selection and execution:

async processActions(message: Memory, responses: Memory[], state?: State): Promise<void> {
  // Select and execute actions based on context
  const actions = await this.selectActions(message, state);
  
  for (const action of actions) {
    await action.handler(this, message, state);
  }
  
  // Run evaluators on results
  await this.evaluate(message, state);
}

2. State Composition

Builds comprehensive context by aggregating data from providers:

async composeState(message: Memory): Promise<State> {
  const state = {};
  
  for (const provider of this.providers) {
    const data = await provider.get(this, message, state);
    Object.assign(state, data);
  }
  
  return state;
}

3. Plugin Management

Registers and initializes plugin components:

async registerPlugin(plugin: Plugin) {
  // Register components
  plugin.actions?.forEach(a => this.registerAction(a));
  plugin.providers?.forEach(p => this.registerProvider(p));
  plugin.evaluators?.forEach(e => this.registerEvaluator(e));
  plugin.services?.forEach(s => this.registerService(s));
  
  // Initialize plugin
  await plugin.init?.(this.config, this);
}

Runtime Lifecycle

Initialization Sequence

Runtime Creation: Instantiate with character and configuration
Character Loading: Load agent personality and settings
Plugin Loading: Register plugins in dependency order
Service Startup: Initialize background services
Ready State: Agent ready to process messages

Plugin Loading Order

// Plugin priority determines load order
const pluginLoadOrder = [
  databases,      // Priority: -100
  modelProviders, // Priority: -50
  corePlugins,    // Priority: 0
  features,       // Priority: 50
  platforms       // Priority: 100
];

Configuration

Runtime Configuration

The runtime accepts configuration through multiple sources:

interface RuntimeConfig {
  character: Character;
  plugins: Plugin[];
  database?: DatabaseConfig;
  models?: ModelConfig;
  services?: ServiceConfig;
  environment?: EnvironmentConfig;
}

Environment Variables

Core runtime environment variables:

NODE_ENV - Runtime environment (development/production)
LOG_LEVEL - Logging verbosity
DATABASE_URL - Database connection string
API_PORT - Server port for API endpoints
AGENT_ID - Unique agent identifier

Settings Management

Access configuration through the runtime:

// Get setting with fallback
const apiKey = runtime.getSetting("API_KEY");

// Check if setting exists
if (runtime.hasSetting("FEATURE_FLAG")) {
  // Feature is enabled
}

Database Abstraction

The runtime implements IDatabaseAdapter for data persistence:

interface IDatabaseAdapter {
  // Memory operations
  createMemory(memory: Memory): Promise<void>;
  searchMemories(query: string, limit?: number): Promise<Memory[]>;
  getMemoryById(id: UUID): Promise<Memory | null>;
  
  // Entity management
  createEntity(entity: Entity): Promise<void>;
  updateEntity(entity: Entity): Promise<void>;
  getEntity(id: UUID): Promise<Entity | null>;
  
  // Relationships
  createRelationship(rel: Relationship): Promise<void>;
  getRelationships(entityId: UUID): Promise<Relationship[]>;
  
  // Facts and knowledge
  createFact(fact: Fact): Promise<void>;
  searchFacts(query: string): Promise<Fact[]>;
}

Memory Operations

// Store a message
await runtime.createMemory({
  type: MemoryType.MESSAGE,
  content: { text: "User message" },
  roomId: message.roomId,
  userId: message.userId
});

// Search memories
const memories = await runtime.searchMemories(
  "previous conversation",
  10 // limit
);

// Get specific memory
const memory = await runtime.getMemoryById(memoryId);

Message Processing Pipeline

The runtime processes messages through a defined pipeline:

Processing Steps

Message Receipt: Receive and validate incoming message
Memory Storage: Persist message to database
State Composition: Build context from providers
Action Selection: Choose appropriate actions
Action Execution: Run selected action handlers
Evaluation: Post-process results
Response Generation: Create and send response

Error Handling

The runtime implements comprehensive error handling:

try {
  await runtime.processActions(message, responses, state);
} catch (error) {
  if (error instanceof ActionError) {
    // Handle action-specific errors
    runtime.logger.error("Action failed:", error);
  } else if (error instanceof StateError) {
    // Handle state composition errors
    runtime.logger.error("State error:", error);
  } else {
    // Handle unexpected errors
    runtime.logger.error("Unexpected error:", error);
    // Optionally trigger recovery
  }
}

Performance Considerations

State Caching

The runtime caches composed state for performance:

// State is cached by message ID
const state = await runtime.composeState(message);
// Subsequent calls use cache
const cachedState = await runtime.composeState(message);

Service Pooling

Services are singleton instances shared across the runtime:

// Services are created once and reused
const service = runtime.getService(ServiceType.DATABASE);
// Same instance returned
const sameService = runtime.getService(ServiceType.DATABASE);

Best Practices

Runtime Initialization

Initialize plugins in dependency order
Start services after all plugins are loaded
Verify character configuration before starting
Set up error handlers before processing

Resource Management

Clean up services on shutdown
Clear state cache periodically
Monitor memory usage
Implement connection pooling

Error Recovery

Implement retry logic for transient failures
Log errors with context
Gracefully degrade functionality
Maintain audit trail

Integration Points

The runtime provides multiple integration points:

Plugins: Extend functionality through the plugin system
Events: React to runtime events
Services: Add background processes
Models: Integrate AI providers
Database: Custom database adapters
API: HTTP endpoints through routes

Advanced Runtime Methods

Beyond the core interface, the runtime exposes additional methods for advanced use cases.

Run Tracking

Track agent execution runs for debugging, analytics, and action chaining:

interface IAgentRuntime {
  // Create a unique run identifier
  createRunId(): UUID;

  // Start a run (optionally scoped to a room)
  startRun(roomId?: UUID): UUID;

  // End the current run
  endRun(): void;

  // Get the current active run ID
  getCurrentRunId(): UUID;
}

Usage:

// Start tracking a run
const runId = runtime.startRun(roomId);

try {
  // Process messages, actions execute within this run
  await runtime.processActions(message, responses, state);

  // Get results from actions executed in this run
  const results = runtime.getActionResults(message.id);

} finally {
  // Always end the run
  runtime.endRun();
}

Action Results

Retrieve results from executed actions for action chaining:

// Get all action results for a specific message
getActionResults(messageId: UUID): ActionResult[];

Example - Action chaining:

// First action generates data
const results = runtime.getActionResults(message.id);

// Second action uses results from first
const previousData = results.find(r => r.action === 'SEARCH_WEB');
if (previousData?.success) {
  // Use previousData.data in next action
}

Embedding Generation

Queue memories for async embedding generation:

// Non-blocking - queues for background processing
queueEmbeddingGeneration(
  memory: Memory,
  priority?: 'high' | 'normal' | 'low'
): Promise<void>;

// Blocking - adds embedding synchronously
addEmbeddingToMemory(memory: Memory): Promise<Memory>;

Priority levels:

high - Immediate processing (user queries)
normal - Default priority (conversations)
low - Background processing (bulk imports)

// Queue high-priority embedding for user query
await runtime.queueEmbeddingGeneration(userMessage, 'high');

// Queue low-priority for background knowledge
await runtime.queueEmbeddingGeneration(knowledgeDoc, 'low');

Conversation Length

Get the current conversation length setting:

getConversationLength(): number;

Returns the configured maximum conversation length from character settings.

Service Management

Advanced service discovery and management:

interface IAgentRuntime {
  // Get all registered services by type
  getAllServices(): Map<ServiceTypeName, Service[]>;

  // Get all registered service type names
  getRegisteredServiceTypes(): ServiceTypeName[];

  // Get multiple services of the same type
  getServicesByType<T extends Service>(type: ServiceTypeName): T[];

  // Wait for a service to finish loading
  getServiceLoadPromise(serviceType: ServiceTypeName): Promise<Service>;

  // Check if service exists
  hasService(serviceType: ServiceTypeName): boolean;
}

Example - Wait for service:

// Wait for database service to be ready
const dbService = await runtime.getServiceLoadPromise(ServiceType.DATABASE);

// Get all speech services
const speechServices = runtime.getServicesByType(ServiceType.SPEECH);

// Check available service types
const types = runtime.getRegisteredServiceTypes();
// ['DATABASE', 'SPEECH', 'VIDEO', 'TRANSCRIPTION', ...]

ElizaOS Type Guard

Check if the runtime has an ElizaOS instance attached:

hasElizaOS(): this is IAgentRuntime & { elizaOS: IElizaOS };

Usage:

if (runtime.hasElizaOS()) {
  // TypeScript knows runtime.elizaOS is defined here
  const elizaOS = runtime.elizaOS;

  // Send message to another agent
  await elizaOS.handleMessage(otherAgentId, {
    entityId: message.entityId,
    roomId: message.roomId,
    content: { text: 'Forwarded message', source: 'internal' }
  });
}

Connection Management

Batch setup of entities, rooms, and connections:

// Setup multiple connections at once
ensureConnections(
  entities: Entity[],
  rooms: Room[],
  source: string,
  world: World
): Promise<void>;

// Setup single connection with full options
ensureConnection({
  entityId: UUID;
  roomId: UUID;
  userName?: string;
  name?: string;
  worldName?: string;
  source?: string;
  channelId?: string;
  messageServerId?: UUID;
  type?: ChannelType | string;
  worldId: UUID;
  userId?: UUID;
  metadata?: Record<string, unknown>;
}): Promise<void>;

Example - Platform integration:

// Setup Discord server connection
await runtime.ensureConnection({
  entityId: discordUserId,
  roomId: channelRoomId,
  userName: 'user#1234',
  source: 'discord',
  channelId: discordChannelId,
  type: ChannelType.GROUP,
  worldId: serverWorldId,
  metadata: { roles: ['member', 'admin'] }
});

World Management

Update world configuration:

updateWorld(world: World): Promise<void>;

// Update world settings
await runtime.updateWorld({
  id: worldId,
  name: 'Updated Server Name',
  metadata: {
    settings: { allowBots: true },
    features: ['voice', 'threads']
  }
});

Message Routing

// Register a send handler for a platform
registerSendHandler(source: string, handler: SendHandlerFunction): void;

// Send message to a specific target
sendMessageToTarget(target: TargetInfo, content: Content): Promise<void>;

// Register Discord message handler
// Handler signature: (runtime, target, content) => Promise<void>
runtime.registerSendHandler('discord', async (runtime, target, content) => {
  const channel = await discordClient.channels.fetch(target.channelId);
  await channel.send(content.text);
});

// Send message to target
await runtime.sendMessageToTarget(
  { source: 'discord', channelId: '123456', roomId },
  { text: 'Hello from agent!' }
);

Memory System

Learn about the fundamental storage layer

Events

Understand the communication backbone

Providers

Explore how to supply data to the runtime

Models

Discover AI model management

Streaming Responses

Implement real-time streaming with SSE/WebSocket

Action Planning

Build multi-step action workflows

Background Tasks

Run async operations with task workers

Deploy to Cloud

Ship your agent to production in minutes

GETTING STARTED

GUIDES

PROJECTS

AGENTS

PLUGINS

RUNTIME

TOKEN

​The Problem

​Quick Start with ElizaOS

Add Capabilities

Define Personality

Deploy Anywhere

Connect Platforms

​Deployment Patterns

​Serverless / Edge Deployment

​Async Mode with Callbacks

​Multi-Agent Communication

​Agent Discovery

​Events

​Health Monitoring

​What You Get

​System Architecture

​Core Components

​AgentRuntime Class

​Core Interface

​Key Responsibilities

​1. Action Processing

​2. State Composition

​3. Plugin Management

​Runtime Lifecycle

​Initialization Sequence

​Plugin Loading Order

​Configuration

​Runtime Configuration

​Environment Variables

​Settings Management

​Database Abstraction

​Memory Operations

​Message Processing Pipeline

​Processing Steps

​Error Handling

​Performance Considerations

​State Caching

​Service Pooling

​Best Practices

​Runtime Initialization

​Resource Management

​Error Recovery

​Integration Points

​Advanced Runtime Methods

​Run Tracking

​Action Results

​Embedding Generation

​Conversation Length

​Service Management

​ElizaOS Type Guard

​Connection Management

​World Management

​Message Routing

​See Also

Memory System

Events

Providers

Models

Streaming Responses

Action Planning

Background Tasks

Deploy to Cloud

The Problem

Quick Start with ElizaOS

Deployment Patterns

Serverless / Edge Deployment

Async Mode with Callbacks

Multi-Agent Communication

Agent Discovery

Events

Health Monitoring

What You Get

System Architecture

Core Components

AgentRuntime Class

Core Interface

Key Responsibilities

1. Action Processing

2. State Composition

3. Plugin Management

Runtime Lifecycle

Initialization Sequence

Plugin Loading Order

Configuration

Runtime Configuration

Environment Variables

Settings Management

Database Abstraction

Memory Operations

Message Processing Pipeline

Processing Steps

Error Handling

Performance Considerations

State Caching

Service Pooling

Best Practices

Runtime Initialization

Resource Management

Error Recovery

Integration Points

Advanced Runtime Methods

Run Tracking

Action Results

Embedding Generation

Conversation Length

Service Management

ElizaOS Type Guard

Connection Management

World Management

Message Routing

See Also