Agentforce in the Channel Material In the captured material, Agentforce is discussed as Salesforce's platform for agentic systems — a no-code/low-code way for enterprises to deploy a portfolio of agents, each specialized for different tasks[^50a3b3fa-9ad2-59a3-9c76-ddfe74635066]. What an Agent Actually Is The material emphasizes that an agent is not just an LLM. Each agent is a complex system with four components:- Memory — retrieves information, data, and documents from past conversations, typically via retrieval-augmented generation (RAG) or similar techniques.- Reasoning brain — a reasoning engine that turns a query or task into a series of steps.- Actuators — turn tasks into actions: API calls and function calls, like a toolkit (send an email, open a website, make reservations).- Interface — how the agent communicates with the external world through voice, text, and other modalities. Agentforce vs. Direct LLM Providers The core point explored in the material: you cannot just use an LLM for enterprise applications. You must build the surrounding infrastructure and supply the right context to connect all four components into a full, functioning solution. Agentforce represents that packaged solution — and its Atlas reasoning engine, introduced in 2023, was incubated in Salesforce's research organization and built in collaboration with customers through long-running partnerships. - Agentforce is Salesforce's platform for deploying a portfolio of specialized agents without heavy coding.- Agents bundle memory, reasoning, actuators, and an interface — an LLM alone is not enough.- The Atlas reasoning engine (introduced in 2023) powers Agentforce and grew out of Salesforce's AI research organization.