80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.
Build and run examples of AI agents and multi-agent systems using various frameworks and tools in Python.
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Free · no card · unsubscribe anytime80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.
innovation-lab-examples has 1.1k stars on GitHub. It has been forked 82 times. innovation-lab-examples is written mainly in Python. It has been in active development since 2025. innovation-lab-examples is available under the MIT license. Its main topics are a2a-protocol, agentic-ai, agentverse, ai-agent.
80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.
innovation-lab-examples is an open-source project. It is released under the MIT license.
Yes. innovation-lab-examples is free and open source — you can use, modify and self-host it.
innovation-lab-examples is available under the MIT license.
innovation-lab-examples is written mainly in Python.
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