What Is An AI Agent? Workflows, Agents And When You Need One
An AI agent is a system where a language model chooses its own next steps and tools. Here is how that differs from a fixed workflow, and how to tell which one a task needs.
KNOWLEDGE HUB / AI
AI Agents And Multi-Agent Systems
How AI agents use tools, memory and plans, and how several agents can work together.
Tools, Memory And The Model Context Protocol
How AI agents call tools, how they remember what they have learnt, and how the Model Context Protocol gives them a standard way to reach data and services.
Multi-Agent Orchestration Patterns And Agent-To-Agent Protocols
The common ways to split work across several AI agents, what each pattern costs, and how the A2A protocol lets agents from different vendors find and delegate to each other.
Why Multi-Agent Systems Fail And How To Make Them Reliable
Research labelling more than 1,600 multi-agent runs finds failures cluster around unclear tasks, poor coordination and weak checking. Here is what goes wrong and where to put controls.