Fetch.ai Innovation Lab Examples
A collection of more than 80 runnable Python examples for building autonomous AI agents and multi-agent systems with uAgents, ASI:One, Agentverse, MCP, A2A, LangChain, CrewAI and other frameworks.
Fetch.ai Innovation Lab Examples is a collection of more than 80 production-ready, self-contained AI agent example projects in Python, each with its own README, dependencies, and environment template. Examples cover building autonomous agents and multi-agent systems with Fetch.ai's own uAgents framework, ASI:One, and Agentverse, as well as the Model Context Protocol, the Agent-to-Agent (A2A) protocol, LangChain, CrewAI, and models from OpenAI, Google Gemini, and Anthropic Claude, including agents that handle real payments.
It targets beginners exploring autonomous agents for the first time, builders integrating LLMs, payments or Web3 into agent workflows, hackathon participants who want a working starting point, and contributors adding their own examples. A setup script can bootstrap a specific example automatically.
It requires Python 3.10 or newer, pip, and git; some examples additionally require API keys such as ASI:One, OpenAI, or Stripe.