Agent Memory Bank

Agent Memory

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

Agent Loop

The iterative cycle of perception, reasoning, planning, and action execution that drives autonomous agent behaviour.

ReAct Framework

Reasoning and Acting — a framework where language model agents alternate between reasoning traces and action execution.

Agent Reflection

The ability of an AI agent to evaluate its own outputs and reasoning, identifying errors and improving responses.

Task Decomposition

Breaking down complex tasks into smaller, manageable subtasks that can be distributed among AI agents.

Agent Benchmarking

Standardised evaluation of AI agent capabilities across tasks like tool use, planning, reasoning, and task completion.

Agent Reasoning Loop

The iterative cycle of observation, thought, action, and reflection that AI agents execute to break down complex goals into achievable subtasks and verify progress.

Plan-and-Execute Pattern

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.

Agentic RAG

An advanced retrieval-augmented generation pattern where an agent dynamically decides what information to retrieve, from which sources, and how to refine queries iteratively.

Standardised protocols and languages used for inter-agent communication in multi-agent systems.

The defined role, personality, and behavioural characteristics assigned to an AI agent for consistent interaction.

An agent architecture that interleaves reasoning traces and action steps, enabling language models to plan dynamically and use external tools to solve multi-step problems.

Methods and metrics for assessing the performance, reliability, and safety of autonomous AI agents.

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

The capability of AI agents to interact with external tools, APIs, and services to extend their functionality.

An agent that oversees and coordinates the work of other agents, making high-level decisions and resolving conflicts.

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

Recall

The ratio of true positive predictions to all actual positive instances, measuring completeness of positive identification.