LoreFable Editorial7 min read
What Is an AI Agent?
What AI agents are, why tools matter, and where autonomy becomes useful instead of noisy.
AI agents
2 articles
Everything you need to understand AI agents: what they are, how they use tools, where autonomy helps, and what risks to design around.
An AI agent uses a model inside a loop — it plans the next action, calls a tool, observes the result, and decides what to do next. Useful when a task needs several steps across changing information.
Read more →MCP (Model Context Protocol) is a standard for connecting AI agents to external tools and data sources. Instead of custom integrations for every tool, MCP gives agents a common way to discover and call capabilities.
Read more →AI memory lets agents retain information across sessions. Approaches include retrieval of past context, stored user profiles, and techniques for deciding what to remember and what to forget.
Read more →What AI agents are, why tools matter, and where autonomy becomes useful instead of noisy.
A practical fable about goals, tools, memory, and the limits that make AI agents useful.
