# Liquid Metal Documentation

> Liquid Metal is a cloud development platform that enables developers to build and deploy production-ready AI applications in seconds.
> The platform provides a streamlined experience for creating, managing, and deploying cloud-native applications with zero infrastructure management.

This documentation website provides comprehensive information about the Liquid Metal platform, including guides, SDK documentation, and reference materials.

## Core Documentation

- [Actors](/raw-markdown/concepts/actors.md): Stateful compute units that maintain persistent data and handle requests with unique identity.
- [AI Models](/raw-markdown/concepts/ai-models.md): Overview of AI model types available in Raindrop for text generation, image processing, speech recognition, and more.
- [Annotations](/raw-markdown/concepts/annotations.md): Metadata management system for organizing configuration, documentation, and application context.
- [Bucket Storage](/raw-markdown/concepts/bucket-storage.md): Object storage for files and data that scales from simple documents to massive media libraries.
- [Claude Code + Raindrop MCP](/raw-markdown/concepts/claude-code-raindrop-mcp.md): How the Raindrop MCP server transforms Claude Code into a complete application development platform for building infrastructure and deploying real applications.
- [Key-Value Storage](/raw-markdown/concepts/kv.md): Fast, simple data storage for caching, sessions, and temporary data persistence in Raindrop applications.
- [Observers](/raw-markdown/concepts/observers.md): Event-driven components that react to changes in buckets and queues, enabling reactive architecture patterns.
- [Queues](/raw-markdown/concepts/queues.md): Asynchronous message passing and decoupled system design for background processing and workflow coordination.
- [Guided Development Flow](/raw-markdown/concepts/raindrop-development/guided-development.md): How the structured workflow prevents chaos and ensures complete, production-ready applications through intelligent state management.
- [Multiplayer Development](/raw-markdown/concepts/raindrop-development/multiplayer-development.md): How team members can collaborate seamlessly on the same development session with synchronized state and shared context.
- [Raindrop Development Workflow](/raw-markdown/concepts/raindrop-development/overview.md): A guided, collaborative approach to building applications with Claude that eliminates chaos and ensures complete, deployable results.
- [Session Management](/raw-markdown/concepts/raindrop-development/session-management.md): How Raindrop Development Workflow uses sessions and timelines to maintain state, enable resumption, and coordinate long-running development projects.
- [Services](/raw-markdown/concepts/services.md): Stateless compute units that handle HTTP requests and provide the building blocks for scalable applications.
- [SmartBuckets](/raw-markdown/concepts/smartbuckets.md): Comprehensive guide to Raindrop's intelligent storage system with AI-powered search and analysis capabilities
- [SmartMemory](/raw-markdown/concepts/smartmemory.md): Multi-layered memory systems for AI agents that need to remember conversations, learn from experience, and store knowledge.
- [SmartSQL](/raw-markdown/concepts/smartsql.md): Intelligent database interaction that bridges SQL queries with natural language processing and automated PII detection.
- [SQL Databases](/raw-markdown/concepts/sql.md): Relational databases with ACID guarantees for structured data and complex queries in Raindrop applications.
- [Tasks](/raw-markdown/concepts/tasks.md): Scheduled operations that handle periodic maintenance, data processing, and background work on predictable timetables.
- [Vector Search](/raw-markdown/concepts/vector.md): Semantic search and similarity matching using high-dimensional embeddings for AI-powered discovery.
- [Raindrop Developer Documentation](/raw-markdown/index.md): Ship intelligent APIs in minutes
- [Authentication](/raw-markdown/sdk/authentication.md): Authenticate with the Raindrop API
- [Installation](/raw-markdown/sdk/installation.md): Install and configure the Raindrop SDK
- [Raindrop SDK Overview](/raw-markdown/sdk/overview.md): Official SDKs for the Raindrop API
- [Raindrop MCP Quick Start](/raw-markdown/tutorials/claude-code-mcp-setup.md): Get started with the Raindrop MCP server for AI coding tools to build and deploy complete applications through guided workflows.
- [Frontend-First Development with Claude Code + Raindrop MCP](/raw-markdown/tutorials/claude-code-raindrop-frontend-first.md): Build a complete todo application using a frontend-first approach where Claude Code creates the UI with detailed API specifications, then uses Raindrop MCP to automatically generate the PRD and backend infrastructure.
- [Building a CRUD API with Claude Code + Raindrop MCP](/raw-markdown/tutorials/crud-api-with-raindrop-mcp.md): Learn how to build a complete CRUD API with database, authentication, and live deployment using Claude Code and the Raindrop MCP server in a pure backend-first approach.
- [Build an AI-Powered Photo App with Figma Make + Raindrop](/raw-markdown/tutorials/figma-make-tutorial.md): Create an AI-powered photo sharing app with search using Figma Make for the frontend and Raindrop with SmartBuckets for the backend.
- [Manual Hello World Deployment](/raw-markdown/tutorials/manual-hello-world-deployment.md): Learn to manually deploy a simple Raindrop service using CLI commands without the automated MCP workflow.
- [Netlify LiquidMetal Integration](/raw-markdown/tutorials/netlify-integration.md): Add AI-powered storage and memory capabilities to your Netlify projects using the LiquidMetal extension.
- [Raindrop Code Quick Start](/raw-markdown/tutorials/raindrop-code-quickstart.md): Get started with Raindrop Code, an AI-powered development environment that helps you build and deploy complete applications through guided workflows.
- [SmartMemory App Deployment](/raw-markdown/tutorials/smartmemory-app-deployment.md): Deploy a Raindrop app with SmartMemory that you can access via the MCP server for AI agent memory management.
- [Stripe Integration](/raw-markdown/tutorials/stripe-integration.md): Add payments to your Raindrop application
- [WorkOS Integration](/raw-markdown/tutorials/workos-integration.md): Get started with WorkOS integration

## Reference Documentation

- [Actor](/raw-markdown/reference/actor.md): Stateful compute units that maintain persistent data and handle requests with complete isolation.
- [AI Models](/raw-markdown/reference/ai.md): Access powerful AI models for text generation, image processing, speech recognition, and more through a unified type-safe interface
- [Annotation](/raw-markdown/reference/annotations.md): Structured metadata storage using Machine-Readable Name objects for addressing and hierarchical organization.
- [AI Agent](/raw-markdown/reference/architecture-patterns/ai-agent.md): A complete architecture for building intelligent AI agents with persistent memory and contextual reasoning using Raindrop Framework
- [API Gateway/Backend for Frontend](/raw-markdown/reference/architecture-patterns/api-gateway.md): A centralized entry point architecture that aggregates multiple backend services and provides unified API access with caching and monitoring using Raindrop Framework
- [Background Job Processing](/raw-markdown/reference/architecture-patterns/background-job-processing.md): A reliable architecture for handling asynchronous work processing with job queuing, monitoring, and failure recovery using Raindrop Framework
- [Multi-Agentic System](/raw-markdown/reference/architecture-patterns/multi-agentic-system.md): A collaborative AI architecture where multiple specialized agents work together on complex tasks through shared memory and coordinated workflows using Raindrop Framework
- [Retrieval Augmented Generation (RAG)](/raw-markdown/reference/architecture-patterns/retrieval-augmented-generation.md): A complete architecture for building RAG applications with efficient data indexing and search capabilities using Raindrop Framework
- [Architecture Patterns](/raw-markdown/reference/architecture-patterns.md): Proven architectural solutions using Raindrop framework components for building scalable applications
- [Bucket](/raw-markdown/reference/bucket.md): Store and retrieve files with the Bucket component in Raindrop applications, providing object storage functionality with metadata support and flexible listing options.
- [raindrop annotation](/raw-markdown/reference/cli/annotation.md): Manage application metadata using Machine Resource Names (MRNs). Store and retrieve structured metadata for Raindrop resources.
- [raindrop auth](/raw-markdown/reference/cli/auth.md): Manage authentication and organization access for the Raindrop CLI. Login, logout, list organizations, and switch between accounts.
- [raindrop bucket](/raw-markdown/reference/cli/bucket.md): Manage S3-compatible credentials for Raindrop object storage buckets. Create, list, retrieve, and delete access credentials.
- [raindrop build](/raw-markdown/reference/cli/build.md): Develop and deploy Raindrop applications from the command line
- [raindrop dns](/raw-markdown/reference/cli/dns.md): Manage DNS zones and records for your domains with the Raindrop CLI. Create zones, configure records, and manage domain DNS settings.
- [CLI Reference Overview](/raw-markdown/reference/cli/index.md): Complete reference for all Raindrop CLI commands including authentication, application management, DNS, storage, and logging
- [raindrop logs](/raw-markdown/reference/cli/logs.md): Query historical logs and stream real-time logs from your deployed Raindrop applications to debug issues and monitor behavior.
- [raindrop mcp](/raw-markdown/reference/cli/mcp.md): Integrate Raindrop with AI coding assistants using Model Context Protocol. Install for Claude Code.
- [raindrop object](/raw-markdown/reference/cli/object.md): Perform object storage operations with Raindrop buckets. Upload, download, delete, and list objects using the CLI.
- [raindrop query](/raw-markdown/reference/cli/query.md): Perform smart search and RAG operations on Raindrop smart buckets. Search documents, chat with files, and reindex content.
- [Key Value Cache (KV Cache)](/raw-markdown/reference/kv-cache.md): Key-value cache storage component for caching data with configurable expiration and metadata support across distributed applications.
- [Logging](/raw-markdown/reference/logging.md): Built-in logging system for tracking application behavior and debugging issues
- [Manifest File](/raw-markdown/reference/manifest.md): Design your Raindrop application architecture using declarative configuration
- [MCP](/raw-markdown/reference/mcp.md): Model Context Protocol services that expose MCP servers for AI agents with tool registration, prompts, and resources.
- [Observers](/raw-markdown/reference/observers.md): Learn how to use Raindrop Observers to respond to bucket and queue events
- [Queue](/raw-markdown/reference/queue.md): Send and process messages asynchronously using durable message queues with configurable delays, batching, and retry mechanisms.
- [Raindrop Code Commands](/raw-markdown/reference/raindrop-code/index.md): Complete reference for Raindrop Code slash commands including creating apps, adding features, debugging, and session management
- [New Application Workflow](/raw-markdown/reference/raindrop-mcp/new-application-workflow.md): Complete breakdown of the guided workflow for building new applications from idea to deployed infrastructure using the Raindrop MCP server.
- [Reattach to Session](/raw-markdown/reference/raindrop-mcp/reattach-session.md): Resume development on any existing Raindrop project by reattaching to your session with complete context preservation and seamless continuation.
- [Update Existing Application](/raw-markdown/reference/raindrop-mcp/update-application.md): Add features, modify functionality, or enhance existing deployed Raindrop applications through a structured update workflow that preserves existing functionality.
- [Resources](/raw-markdown/reference/resources.md): Databases, buckets, vector stores and more
- [Application Secrets](/raw-markdown/reference/secrets.md): Learn how to set secrets for Raindrop applications
- [Service](/raw-markdown/reference/services.md): HTTP services for building web APIs and microservices with service-to-service communication
- [SmartBuckets](/raw-markdown/reference/smartbucket.md): Object storage with semantic search, document chat, and multi-modal RAG capabilities for AI-powered content discovery
- [SmartMemory](/raw-markdown/reference/smartmemory.md): Multi-layered memory system for AI agents with working memory, episodic memory, semantic memory, and procedural memory management.
- [SmartSQL](/raw-markdown/reference/smartsql.md): SQL database with natural language queries and automatic PII detection for AI-powered data interactions
- [SQL](/raw-markdown/reference/sql.md): SQL database support for persistent data storage with SQLite-compatible syntax and prepared statements for secure query execution.
- [Task](/raw-markdown/reference/task.md): Schedule background jobs with cron expressions in Raindrop applications. Execute code at specific times with automatic scheduling.
- [Vector Index](/raw-markdown/reference/vector.md): Store and query high-dimensional vector data for similarity search, clustering, and recommendation systems.
- [Versioning and Branching](/raw-markdown/reference/versioning.md): Learn how to version and branch your compute and data

## SDK Examples

- [Object Storage](/raw-markdown/sdk/examples/object-storage.md): Code examples for object storage operations
- [Smart Memory](/raw-markdown/sdk/examples/smart-memory.md): Code examples for smart memory operations
- [Smart SQL](/raw-markdown/sdk/examples/smart-sql.md): Code examples for smart sql operations
- [SmartBucket](/raw-markdown/sdk/examples/smartbucket.md): Code examples for smartbucket operations