A new financial advisor agent has been developed using SingularityNET’s MeTTA and Fetch.ai’s uAgents framework to enable intelligent investment guidance. This agent incorporates a retrieval-augmented generation (RAG) layer for accessing relevant investment data and utilizes ASI:One to classify user intent and extract keywords, enhancing response accuracy. Notably, the MeTTA knowledge graph organizes financial information in structured relationships, linking risk profiles to appropriate investments and investment goals to strategies, thereby allowing the agent to dynamically update its knowledge base as it receives queries.
MeTTa: MeTTa is SingularityNET’s multi-paradigm language designed for declarative computations over knowledge graphs, supporting structured representation and pattern matching. It powers symbolic reasoning in agentic systems like ASI:Chain devnet. In the guide, MeTTa initializes investment knowledge graphs for risk profiles, returns, and strategies.
ASI:One: ASI:One is Fetch.ai’s personal AI platform at asi1.ai, featuring discovery, intent classification, and action-taking across Agentverse agents. It recently emphasized recurring tasks and agent collaboration ahead of ProductHunt launch. The tutorial uses ASI:One for classifying investment queries and generating humanized responses.
uAgents: uAgents is Fetch.ai’s open-source framework for creating interoperable AI agents with real API integrations and modular components. It supports developer templates and Agentverse deployment for scalable systems. This example employs uAgents to orchestrate the financial advisor with Chat Protocol and MeTTa RAG.
Fetch.ai: Fetch.ai builds composable agentic infrastructure including Agentverse and uAgents frameworks for autonomous AI systems. As a key ASI Alliance member, it enables end-to-end agent workflows and marketplaces. Here, Fetch.ai provides the uAgents framework and Chat Protocol to integrate and deploy the financial advisor agent.
Chat Protocol: Chat Protocol is a uAgents component enabling conversational interfaces for agents, handling messages and sessions seamlessly. It integrates with ASI:One for discoverable agent chats. In the build guide, it connects the financial agent to receive and respond to user investment questions.
SingularityNET: SingularityNET is a decentralized AI platform and founding member of the ASI Alliance, focusing on scalable intelligence through tools like Hyperon. It develops MeTTa, a programming language for knowledge graphs and symbolic reasoning. In this tutorial, SingularityNET’s MeTTa structures financial knowledge into queryable relationships for the agent.
`json
{
“Agent Orchestration”: “The financial advisor agent combines components for dynamic knowledge updating and intent classification to deliver informed responses.”,
“Ecosystem Integration”: “The agent utilizes the chat interface for collaborative financial guidance by orchestrating specialized functionalities.”,
“Knowledge Representation”: “Financial data is organized into queryable relations, linking risk profiles to suitable investments and strategies to goals.”
}
`