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Comparison guide

How to choose an AI agent platform

An AI agent platform comparison is easier when you fix the dimensions first. Below are six that decide most outcomes — orchestration model, roles and permissions, human gates, audit and traceability, self-hosting and data boundary, and update control — plus a checklist you can score without a demo.

Six dimensions that decide the outcome

  1. Orchestration model — a single assistant, a fixed pipeline, or a team of agents with states and transitions.
  2. Roles and permissions — can you say who may change code and who may merge?
  3. Human gates — where does work stop and wait for a person?
  4. Audit and traceability — after the fact, can you reconstruct who did what, and why?
  5. Self-hosting and data boundary — where does code and command execution actually run?
  6. Update control — who decides when the platform changes under you?

Who each model suits

A single assistant suits drafting, search and small edits. A fixed pipeline suits repeatable transformations with one clear owner. A multi-agent team suits work that benefits from separate implementation and review perspectives, and where hand-offs need to be traceable afterwards.

Where GuildOS sits, and what it gives up

GuildOS is built for multi-agent collaboration that has to be auditable: work runs on machines you pair, moves through explicit states, and stops at human gates before merge or release. That is also its trade-off — it is heavier than a chat window, and it is the wrong tool if you only want a one-shot answer. See security for the boundary and features for the current surface.

Checklist

FAQ

Start from the overview, then read the docs for the command surface.