Author

The Agent Examiner Editorial

Editorial team

The editorial team behind The Agent Examiner. We test and document AI-agent platforms and MCP servers, record every claim against a primary source, and apply one symmetric scoring rubric to every platform — including Alfe. This is an editorial entity, not a single individual; named contributors are added to the masthead as they join.

Guides by The Agent Examiner Editorial

1 July 2026How to connect an MCP server to your AI agentA step-by-step guide to connecting a Model Context Protocol (MCP) server to an AI agent: pick a server, choose a transport, configure it, and verify the tools show up.
1 July 2026How to give an AI agent long-term memoryWhat long-term memory means for AI agents, the common approaches (context, vector stores, knowledge graphs, files), and how to choose based on how your agent platform handles state.
1 July 2026How to run an AI agent 24/7What it takes to keep an AI agent running around the clock: hosting options, failure recovery, triggers, and cost — plus how managed platforms and compute infrastructure differ.
1 July 2026MCP-native vs bolt-on: what it means for agent platformsThe difference between platforms that treat the Model Context Protocol as first-class and those that bolt it on partially — and why the distinction affects reliability, tool breadth, and lock-in.
1 July 2026What is MCP (Model Context Protocol)?A plain-English explainer of the Model Context Protocol (MCP): what it is, why it exists, and what it changes for AI agents and the platforms that run them.

Facts are recorded against primary sources; scores are editorial opinion applied by one rubric to every platform, including Alfe. See the methodology and disclosure.