AI product Open source

Agent Deck

Agent Deck is an open-source terminal dashboard for running and monitoring multiple AI coding agents in parallel. It displays each session’s status, active tool, working directory, and last prompt in real time, with Vim-style keyboard navigation for creating, focusing, closing, and renaming panes. It supports Claude Code and OpenCode through automatically installed hooks and runs as the single-binary `dot-agent-deck`, with native embedded terminal panes and no external terminal multiplexer required.

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Overview

The dashboard runs inside terminals including Ghostty, iTerm2, Alacritty, Kitty, and WezTerm, while preserving the agent clients’ existing shortcuts, skills, and configurations. Per-project TOML configuration can pair an agent with side panes for test runs, log tails, or `kubectl` watches. macOS and Linux installation is available through Homebrew, Nix, prebuilt binaries, or source builds; Windows use is currently through WSL. The project is distributed under the MIT license.

What Agent Deck is used for

5 uses taken from transcripts — each links to the moment in the video.

  • Orchestrates the agent team, generates project-specific orchestration configuration, launches the orchestrator and specialist sessions, and manages delegation, parallel reviews, feedback loops, and context handoffs.

  • A tool for orchestrating multiple AI agents in specialized roles such as coder, reviewer, auditor, and releaser. It generates project-specific orchestration configurations, coordinates parallel reviews, loops failures back to the coder, and manages context handoffs through the workflow.

  • Runs as a daemon to display agent session status and orchestrate supported agents from one view.

  • Runs the multi-agent development workflow, creates isolated work trees, starts feature orchestrators, and coordinates specialized agents working in parallel.

  • An open-source tool for running a multi-agent development workflow. It lets the user organize isolated feature work trees, start orchestrators and specialized agent teams, review their output, and run work in parallel while detached.

Videos mentioning Agent Deck

3 in the library.