Meetless Agent

Confident is not correct

Your AI coding agent writes faster than you can review it. The output comes back formatted, tests green, and completely confident. Confident is not correct. Your docs say the intent, your tests check the behavior, and neither one proves the agent followed your team’s actual decisions.

Meetless Agent is the layer that does. It puts your team’s confirmed decisions into the agent’s context on every prompt, makes them askable with citations, and keeps the agent’s own distilled memory untrusted until a human approves it.

mla is the Meetless Agent CLI. A connector wires that governance into wherever an agent runs. Claude Code and OpenAI Codex both ship today, and they are siblings rather than alternatives: the decision logic lives in one neutral core, so each agent is governed by the same approved decisions.

Why

The problem, what governed memory buys you, and the connector vision. Start here if you are deciding whether this fits your team.

How it works

The model, agent-agnostic: the knowledge graph, the trust model, injection, ask, capture, and enforcement.

Claude Code connector

Install, activate, and run a governed session. The MVP, shipping today.

Reference

Command reference, configuration and privacy (local-first), and troubleshooting.

Where to start

If you are evaluating Meetless Agent, read Confident is not correct for the problem, then How it works for the model. If you are ready to use it, jump to Install & activate.