AgentDock's 18704-line llms.txt shows what thorough AI preparation looks like

# AgentDock - Knowledge Base
# Generated: 2026-01-28T21:54:05.297Z
# Description: The unified interface to build, manage, and deploy production-ready AI agents and workflows, frictionlessly.

## WEBSITE OVERVIEW
AgentDock is the unified interface to build, manage, and deploy production-ready AI agents and workflows, frictionlessly.

## COMPANY INFORMATION
URL: https://agentdock.ai/

### Mission
We eliminate operational friction that prevents builders from deploying production-ready AI agents. One unified platform for the entire automation ecosystem.

### What We Build
Two powerful solutions that work together: open-source flexibility meets enterprise-grade cloud infrastructure for complete AI agent automation.

**AgentDock Core (Open Source Framework)**: Node-based agent system foundation with chat interface, essential integrations, tool registry, and component-based output system. Delivered as standalone application with extensible architecture.

**AgentDock Pro (Commercial SaaS Platform)**: Multi-tenant platform extending Core into distributed, scalable system with advanced workflow capabilities, visual builder, natural language generation, and enterprise-grade infrastructure.

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## ABOUT PAGE CONTENT
URL: https://agentdock.ai/about

### Team
**Cuneyt Mertayak**: Ex-Coinbase engineer, Founding Engineer at Udemy. Expert in large-scale distributed systems and developer platforms with deep experience in building production infrastructure.

**Oguz Serdar**: Ex-EIR at 500 Startups. Serial entrepreneur with deep experience in developer tools and infrastructure, focused on building scalable automation platforms and production systems.

### Company Philosophy
Founded by experienced engineers who understand the complexity of building production AI systems. We believe every business should have access to production-ready AI automation, regardless of technical complexity.

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## AGENTDOCK PRO CAPABILITIES
URL: https://agentdock.ai/

### Development Approach

**Phased Implementation Strategy**
- **Phase 1**: Agent-focused system with persistent memory and natural language creation
- **Phase 2**: Full workflow system with visual builder and advanced automation

### Core Platform Features

**Visual Workflow Builder**:
- Drag-and-drop interface for workflow design
- Node-based architecture for complex automation
- Real-time workflow monitoring and debugging
- Template library for common patterns

**Agent System**:
- Conversational AI with persistent memory
- Tool integration and knowledge base access
- Natural language agent configuration
- Multi-agent orchestration capabilities

**Execution Architecture**:
- **Direct Execution**: Real-time, interactive workflows
- **Queued Execution**: Background, scheduled, and event-driven workflows
- Automatic path selection based on workflow requirements
- Scalable infrastructure for high-volume processing

**Node Type System**:
- **Event Nodes**: Workflow triggers and initiators
- **Agent Nodes**: Interactive AI with conversation capabilities  
- **Transform Nodes**: Data processing and manipulation
- **AI Inference Nodes**: Specialized AI operations
- **Connector Nodes**: External service integrations
- **Action Nodes**: External system modifications
- **Logic Nodes**: Flow control and decision making

### Natural Language Capabilities

**Agent Creation**: Configure AI agents using natural language descriptions with intelligent defaults and best practices

**Workflow Generation**: Create complete automation workflows from plain English descriptions with visual confirmation

### Resource Management

**Credit System**: Usage-based consumption model with real-time tracking and configurable limits per workflow execution

**Multi-tenant Architecture**: Isolated environments for organizations with secure credential management and data separation

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## REAL-WORLD APPLICATIONS

### Knowledge Management
- Document-based AI systems with vector search
- Multi-format content processing and retrieval
- Permission-based knowledge access control
- Real-time content updates and versioning

### Workflow Automation  
- Event-driven process automation
- Scheduled task execution
- Complex branching and conditional logic
- External service orchestration