Workshop
summary
Fetch.ai shows a stack with UAgents Python SDK, an agent marketplace and an ASI LLM discovery layer that matches queries to registered agents built with LangChain, CrewAI, Autogen or other frameworks. Ocean Protocol provides tokenized datasets and privacy-preserving compute via Ocean Node, SingularityNET supplies knowledge graphs, and Kudos hosts agent infrastructure. Demo finds seven candidate agents and selects one, a business agent schedules a car service with five available dates and generates a payment link, and agent-to-agent payments are shown; monetization and local-development security workflows are supported.
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chapters (24)
- 0:00Introduction
- 0:32Overview of ASI Alliance Partners
- 1:29SingularityNET: Knowledge Graphs
- 1:55Fetch.ai: Agent Marketplace & Discovery
- 2:41Kudos: Infrastructure for Agents
- 3:06Fetch.ai Tech Stack Overview
- 3:55UAgents Framework & Agent Metadata
- 5:17Agent Marketplace Features
- 5:38ASI: LLM-Powered Discovery Layer
- 6:10Building & Registering Agents
- 7:22Agent Communication & Network
- 7:52ASI1: Dynamic Agent Discovery
- 8:53Demo: Specialized Agents in Action
- 9:42Marketplace & ASLM Interface Demo
- 10:57Developer Monetization & Business Agents
- 12:30Direct Agent Tagging & Transactions
- 13:37Service Appointment & Payments Demo
- 14:04Agent-to-Agent Payments
- 14:51Hackathon Guidance & Partner Integration
- 16:36SingularityNET Meta Language & Knowledge Graphs
- 17:34Building Discoverable Agents for ASI
- 18:01Local Development & Security
- 18:29LLM Reasoning & Query Matching
- 19:13APIs & Developer Resources
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