What problem it solves

Coding agents run in terminals that die when the client closes, the SSH connection drops, or a machine restarts, so long-running work is lost and the agent that needs attention is hard to find among many panes. Teams also lose sight of which pane is working, blocked, or idle across local and remote machines.

Key features

• Detachable background runtime — Terminals keep running in a background server when the client closes or the SSH connection is lost, and the saved layout is restored after a restart, with supported agent sessions resumable.

  Source: README, docs

• Multiple machines in one window — Local work and saved SSH machines are shown together in a single window with a combined agent list, and each machine reconnects independently.

  Source: README

• Visible agent state — Every pane is labelled working, blocked, or idle, and herdr signals when an agent has stopped and needs an answer.

  Source: README

• Agent-native control — Agents drive herdr through the CLI and socket API, spawning panes, prompting each other, and waiting until another agent is genuinely blocked.

  Source: README, skills, docs

• Runs the tools you already use — Existing agents such as claude code, codex, cursor, opencode and grok run as-is inside herdr-owned terminals, and plugins extend panes and workflows.

  Source: README, Cargo.toml

Quick start

Copied verbatim from the project's README.

curl -fsSL https://herdr.dev/install.sh | sh

herdr

Who it may suit

Inference: this may suit developers running multiple coding agents in parallel who need terminals to survive disconnections, and agent authors who want their tool to expose pane and status information.

Topics to discuss

• Which agent statuses and blocked-detection signals would be most useful to expose to agents through the socket API?

• How should saved layouts and session resumption behave differently for local versus remote SSH machines?

• What should a first-class plugin API for extending panes and workflows cover?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/herdrdev/herdr#readme

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