HumanLayer

The workspace is built around more than one person, and shared agent sessions, plans, and diffs mean a teammate can pick up context you left behind without asking you to re-explain it. It even covers human-in-the-loop review, since approvals route back through the same shared space. That matters when you're coordinating agents across a codebase, not just prompting one.

HumanLayer doesn't sell tokens. You plug in existing Claude Code, Codex, or other subscriptions and API keys, and there's no separate per-token bill from HumanLayer to monitor. Because the model access stays yours, switching providers later costs you nothing beyond the keys you already hold.

Agents produce plans and diffs as first-class objects you can open, comment on, and revise. Instead of scrolling a chat log, you review the actual proposed change. If a plan looks wrong you can reshape it before a single line of code gets written, which is the core of the human-in-the-loop workflow the product is named for.

Agents can run on remote workers instead of your workstation. Long tasks keep going after you close the laptop. Results flow back into the same workspace for review. This is the part teams notice most once they stop babysitting a terminal.

Pro plans support working across several repositories and Git worktrees at once. That fits teams whose changes span more than one service, which in a real software factory is most of them. You stop shuttling between checkouts and keep the agent focused on the whole change.

You can drop diagrams and mockups into artifacts alongside the code discussion. Layout and flow questions get answered in the same thread as the implementation.

The product aims to make agents better over time as they accumulate your team's decisions and workflows. In practice that means fewer repeated corrections. The payoff depends on how consistently your team uses it.