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ToolExperimental
dev-3.0
by h0x91b
Terminal mission control for running and managing many coding agents
TypeScript
Updated Aug 23, 2026
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What It Does
Coordinates a fleet of AI coding agents from the terminal using kanban boards, git worktrees, and tmux. Market-Based Coordination Pattern Runs multiple shell/CLI agents (Claude Code, Codex, Gemini CLI, OpenCode and others) in parallel while keeping work isolated and reproducible. Combines task cards with git worktree snapshots so each agent's changes and context are easy to review and revert Handoff Pattern.
The Value Proposition
As agents become autonomous code contributors, reproducible context and clear audit trails are essential for judging reliability and assigning blame. Human-in-the-Loop Pattern Mission control makes it practical to run many coding agents while preserving snapshots and human review points — a lightweight foundation for tracking an agent's record over time. That operational discipline is one of the simplest but most effective trust signals when you need to evaluate agent behavior in real projects.
When to Use
Solo devs or small teams orchestrating multiple CLI/shell coding agents who need reproducible workstates and lightweight review workflows. Supervisor Pattern
Applications
- Run parallel coding agents and keep each agent's edits isolated via git worktrees
- Manage agent tasks with a kanban flow that links to reproducible worktree snapshots
- Quickly review or revert agent-produced code using tmux sessions and git history
Works With
openaianthropicgoogle
Topics
agent-orchestrationai-agentsai-codingbunclaude-codecodexdeveloper-toolselectrobungemini-cligit-worktree+4 more
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Keywords
multi-agent orchestrationai-codingagent-delegationgit-worktree