Agent Communication Language

Multi-Agent System

A system composed of multiple interacting AI agents that collaborate, negotiate, or compete to solve complex problems.

Agent Swarm

A large collection of AI agents operating collaboratively using emergent behaviour patterns to solve complex tasks.

Agent Collaboration

The process of multiple AI agents working together, sharing information and coordinating actions to achieve common goals.

Agent Competition

A multi-agent scenario where agents pursue conflicting objectives, leading to adversarial or game-theoretic interactions.

Agent Negotiation

The process by which AI agents reach agreements through offers, counteroffers, and compromise strategies.

Emergent Behaviour

Complex patterns and capabilities that arise from the interactions of simpler agent components or rules.

The degree of independence an AI agent has in making and executing decisions without human approval.

An AI agent that maintains an internal representation of the world to inform its decision-making process.

Safety constraints imposed on AI agents that limit their action space, prevent dangerous operations, enforce budgets, and require approval for irreversible decisions.

The transfer of a task or conversation from one specialised AI agent to another based on skill requirements, escalation rules, or domain boundaries.

The storage mechanism enabling AI agents to retain and recall information from previous interactions and experiences.

An agentic architecture where a planning module decomposes goals into ordered tasks and a separate executor carries them out, enabling complex multi-step problem solving.

A system design where human oversight and approval are required at critical decision points in automated processes.

A catalogue of available tools and APIs that agents can discover and invoke, with descriptions, schemas, and authentication details enabling dynamic capability acquisition.