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TangGee
TangGee

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I unified my terminal, SSH, Kubernetes, databases — and all my AI agents — into one open-source app

If you run AI coding agents (Codex, Claude Code, Cursor, Kimi Code) you've probably had this moment: a session finished 40 minutes ago and nobody noticed. Or it got stuck waiting for an approval. Or you can't remember which terminal window was running what.

I built an open-source AI operations terminal that gives every AI coding session an inbox — plus SSH, Kubernetes and databases in the same window.

Your AI coding sessions, in one inbox

AI session inbox

All external coding-agent sessions appear in one list with live status:

  • Desktop notifications — when a session needs you (approval, feedback), it calls you. You don't have to watch AI work.
  • Approvals in your hands — AI wants to write a file or run a command? Approve right from the sidebar.
  • File previews on the right — see what the agent changed, without leaving the terminal.
  • Full transcripts — view, search and revise the entire session later.

Demo: AI writes a Snake game → two approvals → preview + transcript.

AI on remote hosts — zero install

Remote troubleshooting

Bind an AI agent to a bound SSH terminal and ask: "Check the system status of this remote host — CPU, memory, disk, load, and whether key services are healthy."

The agent runs diagnostics by itself (df, free, top, systemctl, uptime), every command visible in the terminal. When it wants to run something system-changing, you approve. It can not only inspect — it can fix.

Zero install on the remote host: the AI drives commands through the terminal you already connected, so it works behind jump hosts and bastions.

The rest of the ops terminal

  • SSH with bastion sync (JumpServer) — double-click to connect from the workspace
  • Kubernetes workspace — work with clusters from the terminal
  • DB AI — natural language → SQL
  • Local and remote file management

Open source, Apache 2.0

Downloads for macOS / Windows / Linux: https://aiopsterm.com
Source: https://github.com/TangGee/aiopsterm

Star it if useful; issues and feedback are very welcome. It's 0.x — I want to hear from people who run multiple agents or manage fleets.

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