A comprehensive showcase of AI Agents and Agentic LLMs
summary
Shows how to build and register agents end-to-end using ASI1 agentic LLM, Agent Wars marketplace and the UAgents Python library, with demos: creating an agent, Alice↔Bob messaging, a local agent connected via mailbox, and LangChain/QAI/MCP adapters. ASI1 offers mini/extended/fast/graph models and can discover agents (demo finds five transport agents) to answer real-time queries; marketplace hosts ~2.61 million agents and ~130 million messages. Example conversions and logs show 50 FT → $1,616 and per-agent analytics and chat protocol usage.
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chapters (14)
- 0:00Workshop introduction
- 0:44Fetch AI ecosystem overview
- 3:14Fetch AI tech stack
- 6:22Building AI agents tools
- 8:29ASI1 LLM features demo
- 11:41Real-time query handling
- 16:43Agent Wars marketplace
- 20:37U Agents framework
- 23:47First agent creation
- 25:33Agent communication example
- 30:31Local agent setup
- 37:48Framework integration
- 40:35Hackathon requirements
- 42:46Closing remarks
