innovation-lab-examples
by fetchai
80+ production-ready Python examples for autonomous and multi-agent agents
Overview
Showcases 80+ production-ready Python examples for building autonomous and multi-agent systems. Organizes concrete patterns that use uAgents, ASI:One, MCP/A2A protocols, LangChain, CrewAI and major LLM providers so you can copy runnable agents and integrations. Includes end-to-end demos for delegation, multi-agent workflows, and protocol-driven messaging for easy experimentation and extension. This collection aligns with MCP Pattern and supports Model Context Protocol (MCP) usage for robust interoperability.
The Value Proposition
When to Use
Developers and researchers prototyping multi-agent workflows and validating A2A/MCP interactions with real-world example code. Explore how these patterns support practical experimentation, including A2A coordination and evaluation workflows like Model Context Protocol (MCP) Pattern for reliable integrations.
How It's Used
- Prototyping multi-agent delegation and specialist workflows using real protocol examples
- Reproducing and testing A2A/MCP interactions to observe failure modes and trust signals
- Bootstrapping production-ready agent integrations with LangChain, CrewAI, OpenAI, Anthropic and Gemini
- Learning concrete implementation patterns for agent orchestration and protocol interoperability