AI Agents
Multi-Agent Systems
Multiple AI agents working together (or competing) in a shared environment, each with their own role and capabilities.
Definition
Systems composed of multiple interacting AI agents that can cooperate, coordinate, or compete to achieve individual or collective goals. Each agent has specialized capabilities and communicates with others.
Why it matters
The architecture pattern behind enterprise-scale AI automation, single agents can't handle complex, cross-functional workflows.
Where Sophizo applies this
Sophizo deploys Multi-Agent Systems inside revenue and AI engagements with growth-stage operators and PE-backed portfolios.
See AI Advisory →Related terms in AI Agents
Agent Frameworks
Software toolkits (like Lego sets) that developers use to build and connect AI agents easily.
Agent Lifecycle Management
Managing an AI agent from the moment it's built to when it's retired, including updates and monitoring.
Agent Memory
An AI agent's ability to remember past conversations, decisions, and context, like giving it a notepad that persists across sessions.
Agent Orchestration
Acting as the conductor of an orchestra, directing different AI agents to play their parts at the right time.
From vocabulary to outcomes
Ready to put Multi-Agent Systems to work?
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