Examples¶
Attention
Important Notice: The examples in this documentation have not been recently refactored to reflect several significant changes in the AgentConnect framework. For the most up-to-date examples and references, please follow the guides in the Guides section and refer to the examples section of our GitHub repository. These examples will be refactored soon to align with the latest framework changes.
This section contains examples demonstrating how to use the AgentConnect framework.
Note
The example code is available in the examples/ directory of the repository.
You can run these examples directly after installing AgentConnect with the demo dependencies:
poetry install --with demo
The examples cover a range of use cases from basic to advanced scenarios:
Basic Example: Start here to learn how to create simple agents and send messages
Custom Agent Example: Learn how to extend the base agent classes
Custom Provider Example: Connect custom AI providers to the framework
Multi-Agent Example: Set up decentralized communication between multiple agents
Advanced Agent Example: Build sophisticated agents with custom tools, workflows, and LangChain/LangGraph integration
Telegram Agent Example: Create a Telegram AI Agent with multi-agent capabilities for natural language interactions
Examples:
- Basic Example
- Custom Agent Example
- Custom Provider Example
- Multi-Agent Example
- Advanced Agent Example
- Creating Advanced Agents with Custom Tools
- Custom Tools with PromptTools
- Creating an Agent with Custom Tools
- Using Custom Prompt Templates
- Using Agent Workflows and Prompt Systems
- Complete Example with Task Decomposition Tool
- Creating Custom Tool Registry and Workflow
- LangChain and LangGraph Integration
- Creating Advanced Workflows with LangGraph
- Telegram Agent Example