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Hangar

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Description

Agent OS — multi-session control plane for Claude Code, Codex, and other agents

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

hangar — Agent control plane

hangar

**Personal agent operating system.** A self-hosted control plane for AI coding agents (Claude Code, Codex, and others), shipped as a Linux container that runs locally under OrbStack on a Mac and identically on any cloud Linux VM. Think `tmux + kubectl + OBS` reimagined for someone who lives inside multiple Claude sessions.

Status: v0.2.0 shipped Phase 2 MVP (Rust backend, SvelteKit dashboard, ntfy push, REST prompt API). Now migrating from the original optiplex host to a containerized deploy on the Mac mini ([ADR-0017](docs/decisions/0017-containerize-deployment.md)).


Why this exists

Running several Claude Code / Codex sessions in parallel on a remote box via tmux + SSH works but has rough edges:

  • No visibility — you have to attach to know what each agent is doing
  • No automation — prompting from phone / iOS Shortcut / cron means SSH gymnastics
  • No notifications — Claude stalls waiting for a yes/no and you have no idea
  • No memory — once a session is closed, its history is gone
  • No intelligence — nothing parses what Claude is actually doing, it's all terminal bytes

hangar is the tool that sits above tmux (and later replaces it) to give you a real control plane: web UI, push notifications, REST API, session history, multi-agent orchestration.

**Primary goal:** a command-center dashboard where you can see every running agent at a glance, click in to any session, drive prompts from anywhere, and be alerted when any session needs attention.


Who this is for

  • Solo developers running multi-session AI-agent workflows
  • Anyone who has an always-on box (Mac mini, home server, cloud VM) and a laptop/phone they hop between
  • People who want to build on top of a typed session/agent model rather than scrape ANSI terminal bytes

Not for: shared team installs, multi-tenant Saa