EggAI Examples

Practical examples and integration guides showing how to use EggAI with leading AI frameworks. Each example is self-contained and ready to run out of the box.

About EggAI

EggAI is an async-first, multi-agent meta framework for Python that makes it easy to build enterprise-grade multi-agent systems. The SDK is intentionally simple, lightweight, and framework-agnostic, making it easy to integrate with today's leading AI tools.

📚 Main SDK Repository | 📖 Documentation | 🎯 Demo App

Getting Started

If you're new to EggAI, we recommend starting with the Getting Started example to learn the basics of agent definition, communication flows, and async orchestration.

Examples

	Getting Started Orchestrate two agents asynchronously. Tags: Communication
	Coordinator Bridge multiple communication channels. Tags: Communication, Pattern
	Websocket Gateway Real-time interaction via WebSockets. Tags: Communication, Realtime
	DSPy ReAct Agent Advanced Agents with DSPy ReAct. Tags: DSPy, Tool Calling, React
	LangChain Agent Integrate tool calling with LangChain. Tags: Tool Calling, LangChain
	LiteLLM Agent Power agents with LiteLLM. Tags: LiteLLM
	Agent Evaluation & Optimization with DSPy Data-driven development with DSPy. Tags: DSPy, Evaluation, Optimization
	Safe Agents with Guardrails AI Guarding LLM agents against toxicity and PII leakage. Tags: DSPy, Guardrails
	Triage Agent Triage Agent with classification and routing. Tags: Classification, Routing
	Shared Context Maintain shared context across agents. Tags: Communication, Memory
	Multi-Agent Conversation Context-aware multi-agent conversations. Tags: Communication, Classification, Routing, Chat
	Tool Calling Build agents with tool calling capabilities. Tags: Tool Calling, DSPy
	Agent-to-Agent Protocol Integrate with A2A protocol for standardized agent communication. Tags: A2A, Protocol, Interoperability
	Model Context Protocol (MCP) Connect EggAI agents with MCP servers. Tags: MCP, Integration

Installation

All examples require the EggAI SDK. Install it via pip:

pip install eggai

Running an Example

Each example is self-contained with its own dependencies and instructions:

# Clone this repository
git clone git@github.com:eggai-tech/eggai-examples.git
cd eggai-examples

# Navigate to any example
cd getting_started

# Create and activate virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the example
python main.py

Each example folder contains a detailed README with specific setup and usage instructions.

Why Copy/Paste?

These examples are designed to be copied and pasted into your own projects. Here's why:

1. Full Ownership and Control By copying code, you have direct access to the implementation. Tweak or rewrite as needed.

2. Separation of Concerns Copying code (rather than installing a dependency) reduces friction if you want to restyle or refactor.

3. Flexibility Not everyone wants a one-size-fits-all library. With copy/paste "recipes," you integrate only what you need.

4. No Hidden Coupling Prepackaged frameworks lock in design decisions. By copying from examples, you choose exactly what gets included.

Contributing

We welcome contributions! If you have an example you'd like to share:

1. Fork this repository
2. Create a new example folder with a clear name
3. Include a README.md with setup instructions
4. Add a requirements.txt file
5. Submit a pull request

See CONTRIBUTING.md for more details.

Resources

• EggAI SDK - Main SDK repository
• Documentation - Official documentation
• Demo Application - Production-ready multi-agent demo
• Issues - Report bugs or request features

License

This project is licensed under the MIT License. See the LICENSE.md file for details.