What is… explained properly.
The concepts behind agent systems, each one answered in a page: what it is, why it matters, and what it looks like when it is actually running.
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What is an AI agent?
An AI agent is software that pursues a goal by acting — not just answering.
What is an agent runtime?
An agent runtime is the environment where agents actually live: it executes their tool calls, manages memory and context, enforces permissions, and records what happened.
What is MCP?
The Model Context Protocol (MCP) is an open standard for connecting AI models to tools and data.
What is local-first software?
Local-first software keeps your data and computation on devices you control, treating the cloud as an optional accessory rather than the landlord.
What is a workflow engine?
A workflow engine executes multi-step processes reliably: triggers start runs, steps execute in order or in parallel, failures retry, and state survives restarts.
What is an AI operating system?
An AI operating system is the layer that turns models into a working environment: agents as processes, tools as devices, memory as the filesystem, and receipts as the audit log.
What is agent verification?
Agent verification is proving what an AI agent actually did: which sources it read, which tools it invoked, what it decided and what it changed.