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Model Boss

Updated September 13, 2026

Overview / Description

Model Boss is an AI coding-agent orchestrator that coordinates Claude Code and Codex across multiple models so developers can delegate bounded implementation work to lower-cost worker models while a stronger model approves plans and final evidence. The host-selected main conversation loop stays immutable, and external workers receive sealed task packets in disposable git worktrees rather than the full conversation history. Write-capable routes run under OS sandboxing (macOS sandbox-exec, Linux bwrap, or WSL), and workers are limited to Read, Glob, Grep, Edit, and Write tools with Bash, Web, and MCP access disabled. Approvals are hash-bound: final sign-off is tied to the source snapshot, worker delta, and projected task patch hashes, so stale approvals are rejected. It offers two topologies: Lite, where authority stays in the main loop with an optional worker, and Max, which requires a distinct external reviewer that checks worker claims against independently captured process and Git evidence. Safety gates cap self-healing at three attempts and revision rounds at two. Models are declared as authority, balanced, or fast and verified live before dispatch, with support for Claude models (Opus, Sonnet, Haiku, Fable) and Codex tiers, plus Kimi and GLM through verified wrappers. It is aimed at engineers running multi-file implementations, migrations, and mechanical refactors with testable acceptance criteria, and steps aside for tiny single-file edits or pure discussion.

Used For

Best for developers who want to delegate bounded, multi-file coding tasks to lower-cost AI worker models while a stronger model reviews and approves the results.

Pricing

Plan

Free

Free and open source under the MIT license

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Plan

Free

Underlying model usage (Claude Code / Codex subscriptions or API) is billed separately by those providers

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Plan

Free

Effort levels (low/medium/high/max/xhigh) and topology (Lite vs Max) control how much model spend a task incurs; an estimate command prices approaches inline before running

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Pros & Cons

Pros

  • Keeps API spend down by routing bounded implementation work to lower-cost worker models while reserving a stronger model for approval
  • Runs write-capable workers in disposable git worktrees under OS sandboxing (sandbox-exec, bwrap, or WSL) so the source repo is not mutated directly
  • Hash-bound approvals tie final sign-off to source, delta, and patch hashes, rejecting stale approvals
  • Restricts workers to Read/Glob/Grep/Edit/Write and disables Bash, Web, and MCP, plus caps self-healing and revision rounds
  • MIT-licensed and free to install as a Claude Code or Codex skill

Cons

  • Requires Python 3.11+, Git, and a sandbox binary (sandbox-exec on macOS or bwrap on Linux); native Windows uses native agents instead of sandboxed workers
  • You still pay the underlying Claude Code and Codex model usage costs; the tool controls spend but does not eliminate it
  • Command-line and skill-based setup with topology and effort configuration adds a learning curve
  • Not suited to small single-file edits, judgment-dense work, or low-latency interactive sessions

Questions & Answers

Alternatives

Claude Code, OpenAI Codex, Aider, Cursor, Roo Code, OpenHands

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