AgentDock: Build Anything with AI Agents

AgentDock is an open-source, backend-first framework for building and deploying sophisticated AI agents. It's designed to be framework-agnostic and provider-independent, giving you complete control over your agent's implementation.

Core Architecture

The framework is built around a powerful node-based system:

• AgentNode: The primary abstraction for agent functionality, encapsulating LLM interaction and tool integration
• BaseNode: The foundation for all nodes, providing core functionality and a consistent interface
• Node Registry: Central system for registering and retrieving all node types, including both regular nodes and tools
• Tool Registry: Focused abstraction for managing tool availability for agents, working with the Node Registry
• Custom Tools: Specialized nodes that can be called by LLMs to perform specific tasks
• Configuration: Simple JSON-based agent definitions
• Orchestration Framework: Dynamic control of agent behavior based on conversation context
• Session Management: Isolated state management for concurrent conversations

Advanced Subsystems

Session Management

The session management system provides isolation between concurrent conversations and maintains state across multiple requests. Key capabilities include:

• Stateful Conversations: Maintain conversation context and history
• Tool Context Persistence: Enable tools to store and access stateful information
• Memory Efficiency: Optimized storage with automatic cleanup
• Single Source of Truth: Consistent session state across components

For more details, see the Session Management Overview.

Orchestration Framework

The orchestration framework enables dynamic control of agent behavior and tool availability based on conversation context:

• Context-Aware Steps: Transition between different modes based on conversation content
• Dynamic Tool Availability: Control which tools are available in different steps
• Conditional Logic: Activate steps based on message content or previous tool usage
• Tool Sequences: Define specific tool ordering for complex workflows

For more details, see the Orchestration Framework Overview.

Registry Relationship

The Node Registry and Tool Registry work together to provide a comprehensive system for managing nodes and tools:

• Node Registry: Handles the broader node ecosystem, including registration, creation, metadata, and versioning
• Tool Registry: Provides a focused interface specifically for making tools available to agents
• Tools as Nodes: Tools are registered in the Node Registry with the isTool flag set to true
• Dual Purpose: This architecture supports both the current OSS implementation and the future Pro implementation

What You Can Build

1. AI-Powered Applications

   • Custom chatbots with any frontend
   • Command-line AI assistants
   • Automated data processing pipelines
   • Backend service integrations

2. Integration Capabilities

   • Any AI provider (OpenAI, Anthropic, etc.)
   • Any frontend framework
   • Any backend service
   • Custom data sources and APIs

3. Automation Systems

   • Data processing workflows
   • Document analysis pipelines
   • Automated reporting systems
   • Task automation agents

Key Features

• 🔌 Framework Agnostic: Use with any tech stack
• 🧩 Modular Design: Build complex systems from simple nodes
• 🛠️ Extensible: Create custom nodes for any functionality
• 🔒 Secure: Built-in security features for API keys and data
• 📦 Self-Contained: Core framework has minimal dependencies
• 🔄 Orchestration: Control agent behavior dynamically
• 💾 Session Management: Support concurrent conversations

Architecture Documentation

For more detailed documentation on specific architecture components:

Component	Documentation
Agent Node	Agent Node Architecture
Error Handling	Core Error Handling
Provider Abstraction	Provider-Agnostic API
Orchestration	Orchestration Framework
Sessions	Session Management

Getting Started

1. Install the framework
2. Create your first agent configuration
3. Add custom nodes for your specific needs
4. Deploy anywhere

Future Possibilities

• Visual agent builders
• Natural language agent creation
• Advanced agent templates
• Enhanced execution systems
• Managed integrations

AgentDock provides the foundation for building sophisticated AI agent systems while maintaining complete control over your implementation and infrastructure.