Skip to content

Guides
API Reference
Letta Code

Guides
API Reference
Letta Code
Get started
- Intro to Letta
- Docs for agents
Build with Letta
Core concepts
- Stateful agents
- Messages
- Memory
- Tools
- Filesystem
- Skills ↗
Docker server
- Basic setup
- Model providers
  - OpenAI
  - Anthropic
  - Google AI (Gemini)
  - LM Studio
  - More providers
    
    OpenAI-compatible
    OpenRouter
    DeepSeek
    AWS Bedrock
    Groq
    xAI (Grok)
    Together
    Google Vertex AI
    Azure OpenAI
    Ollama
    vLLM
- Advanced configuration
Tutorials
Experimental & legacy
- Sleep-time agents
- Scheduling
- Voice agents
Development tools
- Letta ADE
- Community tools
  - lettactl
  - Letta Snippets
- Testing & evals
  - Letta Evals
  - Getting started
  - Core concepts
    
    Core concepts
    Suites
    Datasets
    Targets
    Graders
    Extractors
    Gates
  - Configuration
    
    Suite YAML reference
  - Graders
    
    Tool Graders
    Rubric Graders
    Multi-metric evaluation
  - Extractors
    
    Built-in extractors
    Custom extractors
  - Advanced
    
    Custom Graders
    Multi-turn conversations
  - CLI reference
    
    CLI commands
  - Results & metrics
    
    Understanding results
  - Troubleshooting
    
    Troubleshooting
- Templates & versioning
- Role-based access control

On this page

Overview

On this page

Overview

Tutorials

Advanced

Serving multiple users

Serving multiple users

Build Letta applications that serve multiple users with isolated agent instances and shared resources.

Coming soon!

Customer-specific agents with Letta API

Programmatically create customer-specific agents with the SDK for CRM automation.

Activate voice mode

Enable voice conversations with Letta agents using native voice integration for hands-free interaction.