Guides

Practical guides for building applications with RobotLab.

Getting Started

If you're new to RobotLab, start here:

• Building Robots

  Create specialized AI agents with personalities and tools

• Creating Networks

  Orchestrate multiple robots for complex workflows

Core Features

• Using Tools

  Give robots custom capabilities to interact with external systems

• MCP Integration

  Connect to Model Context Protocol servers

• Streaming Responses

  Real-time streaming of LLM responses

• Memory System

  Share data between robots with the memory system

• Observability & Safety

  Token tracking, circuit breakers, and learning accumulation

Guide Index

Guide	Description	Time
Building Robots	Create and configure robots	10 min
Creating Networks	Multi-robot orchestration	15 min
Using Tools	Add custom capabilities	10 min
MCP Integration	External tool servers	10 min
Streaming	Real-time responses	5 min
Memory	Shared data store	5 min
Observability & Safety	Token tracking, circuit breaker, learning loop	10 min

Extension Gems

Additional capabilities are available as separate gems:

Gem	Description	Docs
robot_lab-rails	Rails generators, background jobs, Turbo Stream broadcasting	Rails Integration guide
robot_lab-ractor	True CPU parallelism for tools and robot pipelines via Ruby Ractors	Ractor Parallelism guide
robot_lab-durable	Cross-session knowledge persistence with YAML-backed storage	robot_lab-durable README
robot_lab-document_store	Embedding-based semantic document search via fastembed	robot_lab-document_store README