AgentX: A Multi-Agent Framework for Building and Evaluating AI Agent Teams with Any LLM
By
Gaia Chen
Summary
AgentX is a multi-agent AI framework that allows users to build and evaluate teams of AI agents using any LLM. It features a hierarchical structure where a Manager agent routes user intents to specialist sub-agents (e.g., Support, Sales, Lead Collection). The system can scale from a simple 3-agent hub-and-spoke setup to 10+ agent teams covering entire departments like Sales, Support, HR, Finance, and Operations. It also includes an evaluation framework for testing and shipping AI agents with confidence.
Source
Product HuntAgentX: A Multi-Agent Framework for Building and Evaluating AI Agent Teams with Any LLMproducthunt.comKey quotes
· 3 pulledThe most common first team structure users build is a simple 3-agent hub and spoke setup - one Manager agent that reads user intent and routes to the right specialist, and 2-3 sub-agents handling specific roles like Support, Sales, or Lead Collection.
The Manager is the key - users don't need to know which agent to talk to, the Manager figures it out and delegates automatically.
Many organizations end up running 10-agent teams covering full department: Sales, Support, HR, Finance, Operation, all under one orchestrating Manager.
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