Caprock vs Conductor
Both tools serve developers running AI coding agents who want visibility beyond the default CLI experience. Conductor is a paid commercial tool in this category.
Caprock's approach is local-first and open source. Session data stays in a SQLite file on your disk; no account is required, and nothing leaves your machine unless you enable a specific network feature. The Apache-2.0 code is on GitHub. The features available without payment include live sessions, cost per repository at API list prices, Claude and Codex plan-limit windows, session history past the 30-day cleanup, session search, and the pull request pipeline from agent commit to release. Eight additional features (auto-pause at a daily budget, Telegram answers, weekly reports, and others) require a paid license at $30 per year or $100 once.
Caprock is the better fit for a solo developer who wants a permanent record of every agent session, per-repository cost visibility, and plan-limit warnings with no cloud account and no subscription for core functionality.
Caprock does not aggregate usage across team members or offer a managed cloud deployment, so a team that needs those should look at a paid tool such as Conductor.