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Guides
Tutorials
API Reference

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- Getting started
- Building Agents
- Tools
  - Connecting Agents to Tools
  - Web Search
  - Code Interpreter
  - Letta Filesystem
  - Tool types
    
    Base Tools
    Define and customize tools
    Utilities
  - Model Context Protocol
    
    What is Model Context Protocol (MCP)?
    Connecting Letta to MCP Servers
    Connecting Letta to Remote MCP Servers
    Connecting Letta to Local MCP Servers
  - Advanced usage
    
    Building Custom Multi-Agent Tools
    Creating Tool Rules
    Using Tool Variables
    Parallel Tool Calling
- Building on the Letta API
- Integrations
  - Using the Letta Telegram Bot
- Development Tools
  - Agent Development Environment (ADE)
    
    Agent Development Environment (ADE)
    Accessing the web ADE
    Installing Letta Desktop
    Agent Simulator
    Context Window Viewer
    Core Memory
    Archival Memory
    Data Sources
    Tools
    Agent Settings
  - 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
    
    Introduction to Agent Templates
    Versioning Agent Templates
    Memory Variables
- Self-hosting
  - Self-hosting Letta
  - Supported Models
  - Local tool execution
  - Collecting Traces & Telemetry
  - Model providers
    
    OpenAI
    Anthropic
    Google AI (Gemini)
    LM Studio
    
    More providers
    
    OpenAI-compatible endpoint
    DeepSeek
    AWS Bedrock
    Groq
    xAI (Grok)
    Together
    Google Vertex AI
    Azure OpenAI
    Ollama
    vLLM
  - Advanced configuration
    
    Database Configuration
    Performance tuning
    Inspecting your database
    Installing Letta from source
  - Remote hosting
    
    Deploying a Letta server remotely
    Deploy Letta Server on Railway
- Experimental
  - Groups
  - Sleep-time Agents
  - Voice agents
    
    Voice Agents
    Connecting with Livekit Agents
    Connecting with Vapi
- Additional Resources
  - Troubleshooting Letta Desktop
  - Troubleshooting the web ADE
  - Research background
    
    Research Background
    MemGPT
  - Legacy & migration
    
    Legacy Agent Architectures
    Architecture Migration Guide
    MemGPT Agents (Legacy)
    Workflows (Legacy)
    Low-latency Agents (Legacy)
    ReAct Agents (Legacy)
    Heartbeats (Legacy)
    Agent Architecture Naming History
1
- Getting Started
- Memory
- Advanced
- Integrations
- Multi-Agent
2
- API Reference
  - Overview
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    Metrics
    
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    Overview
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    Feedback
    
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  - Templates
    
    Overview
    
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    Overview
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    Overview
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