Guides¶
Welcome to the AgentConnect Guides! These practical, step-by-step tutorials will help you harness the power of AgentConnect to build, connect, and deploy independent AI agents for complex tasks.
Who are these guides for?
These guides are designed for developers looking to:
Build applications with single or multiple collaborating AI agents.
Integrate AgentConnect into existing systems.
Create autonomous workflows involving payments and external tools.
Understand best practices for deploying and managing AgentConnect applications.
Core Concepts & Getting Started¶
Build a solid foundation by understanding the core components (Registry, Hub, Capabilities, Identity) and setting up your first agent.
Core Concepts: Key concepts like the Agent Registry, Communication Hub, Capabilities, and Agent Identity.
Your First Agent: Create and run a simple AI agent, configure its provider, and interact with it.
Human-in-the-Loop: Integrate a HumanAgent for interactive sessions or approvals.
Building Multi-Agent Systems¶
Learn how to orchestrate multiple agents that discover each other dynamically and collaborate by defining capabilities and designing interaction workflows.
Multi-Agent Setup: Registering multiple agents (AI, Human, etc.) and defining their capabilities.
Collaborative Workflows: Design patterns for common multi-agent tasks like information gathering, task delegation, and parallel processing.
Advanced Agent Configuration & Security¶
Customize the behavior of provided agents (like AIAgent) and understand the framework’s security mechanisms like message signing.
AI Agent Deep Dive: Advanced configuration options for the AIAgent, including personality, interaction modes, resource limits, and error handling.
Secure Agent Communication: Understanding message signing and verification for secure interactions.
Specialized Use Cases & Integrations¶
Explore specific applications like agent payments, Telegram integration, and connecting agents to external tools via capabilities.
Agent Payments: Enabling and managing agent-to-agent payments.
Telegram Integration: Building AI assistants accessible via Telegram.
External Tools: Equipping agents with the ability to use external tools.
Monitoring¶
Observe, debug, and trace your AgentConnect applications using tools like LangSmith and custom logging.
Monitoring with LangSmith: Tracing agent interactions, debugging, and analyzing performance with LangSmith.
Logging & Event Handling: Implementing custom logging and reacting to agent events.
Extending AgentConnect¶
Dive deeper and extend the framework by building Custom Agents using the BaseAgent abstraction (integrating frameworks like CrewAI, etc.) or adding new AI provider integrations.
Advanced Guides (Coming Soon): Guides on creating custom agents, providers, and more advanced configurations.
Note
These guides focus on practical implementation. For detailed class and method descriptions, refer to the API Reference. For runnable code examples, see the Examples.