Meetless

Meetless AI (MLA) is an active source of truth for AI coding agents. It watches your Claude Code and Codex sessions, captures decisions as work happens, detects stale or conflicting instructions, and proactively steers each agent before it acts. The core insight: coding agents fail not because information is missing, but because obsolete decisions, current decisions, conflicting instructions, and model assumptions can all appear equally authoritative. MLA addresses the problem of authority, not memory; a bigger context window makes context rot worse, not better. The human remains the architect — nothing an agent proposes becomes project truth until a person approves it. Built for solo builders and software teams, MLA is an open-source client that is free during beta and works across Claude Code and Codex. It was created from the founder's own experience watching agents lose decisions across sessions, revive rejected approaches, and cross boundaries already made explicit — the control layer he needed for his own work, dogfooded daily.