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agent-orchestrator

The code your AI agents commit is reviewed first, waived by a person, or flagged by ao. By default a model of another family reviews the exact change an agent staged, and a git hook refuses anything else at git commit. A ledger records every decision; ao reviews a waived change after it lands, and ao doctor and the watchdog flag a commit whose content no review or waiver granted. A person can turn review off for a project, on the record, ao features off review --by <name>; its commits then land on verification alone.

Keep the coding agents you already use: Claude Code, Codex, Kiro, Qoder, OpenCode and the others in the table below. ao sits above them. It runs your gates on the exact change an agent staged, has a model of another family review that change, and lets only that change commit. The hook refuses everything else at git commit, and every decision goes into a ledger that shows tampering.

Why

• Agents commit faster than anyone reads. A test that passed on one tree says nothing about the tree that gets committed. ao grants commit authority to one exact staged tree, and its hook refuses any other.
• A model reviewing its own family's work shares its blind spots. The reviewer is of another model family by default, or a person you name, and it runs with tools that only read.
• You keep your tools. ao reads each agent's own session store and drives its command line. Adopting it does not mean restarting your work inside something new.

Five minutes to the first reviewed commit

pip install ao-orchestrator          # or: uv tool install ao-orchestrator
cd your-repository
ao init --profile claude-kiro        # Claude Code implements, Kiro reviews; or claude-claude
git add .ao-project && git commit -m "adopt ao"
ao hooks install                     # from here on, only a granted candidate commits

Then, for every change your agent stages:

ao status                            # what your agents are doing, and what waits for you
ao verify                            # your gates, run on the staged candidate
ao review                            # a model of another family reviews exactly that candidate
ao commit-ok                         # may it land? decided from the evidence, refusals named
ao commit -m "feat: what changed"    # commit it, bound to that evidence by its trailers

Getting started goes through it step by step, and ao prove runs the guarantees on a throwaway candidate instead of describing them. With one harness for every role, claude-claude asks for a review tier: another model of the same family, labelled as weaker independence, or a person.

How a change lands

the agent edits and stages
  -> ao verify      your gates, run again by something with no stake in the result
  -> ao review      another model family reads that candidate and the code around it
  -> ao commit-ok   commit authority for that exact tree, granted from the evidence
  -> ao commit      the commit carries trailers that bind it to the grant
the pre-commit hook refuses every other commit; push is never granted

What else it does

• Watches. ao watch is a live panel: what each agent is doing, context and cost, open reviews, the board, and whether an agent is busy but producing nothing.
• Restarts. A watchdog notices a turn that stopped mid-work and nudges it - never into a provider outage, past the round budget, or into a tree a person has taken.
• Keeps going. A board of pre-authorised work: a slice waiting on you is parked with its reason, and when the queue runs dry the architect is woken to refill it.
• Catches up. A review you waive is recorded, and ao catchup has a reviewer of another family review the landed range later.
• Reviews safely. A reviewer runs with tools that only read, and ao measures that per harness: kiro-cli ran untrusted tools all the same with no person to ask, so a Kiro reviewer runs as a read-only agent ao writes for it.

Every command is in docs/commands.md.

Install

pip install ao-orchestrator, uv tool install ao-orchestrator, or brew install hakkisagdic/tap/agent-orchestrator. No dependencies, by choice: ao watches agents on machines it does not control, and a dependency is a thing that can be missing exactly there. With nothing installed, the Python macOS and most Linux distributions ship runs it from a clone:

git clone https://github.com/hakkisagdic/agent-orchestrator ~/ao
mkdir -p ~/.local/bin && ln -s ~/ao/bin/ao ~/.local/bin/ao    # ~/.local/bin must be on PATH

A symlink, not a shell alias: neither /bin/sh, which runs ao's commit hook, nor an agent the watchdog starts without your shell can see an alias. On Windows, bin/ao.ps1 covers status, board and doctor with nothing installed; for the rest, winget install Python.Python.3.12 && pip install ao-orchestrator (windows).

Where this came from. Extracted from a 30-epic durable-workflow product built over weeks by exactly this loop. Every guard in here exists because something went wrong first: a watchdog that started a second turn on one session and left a rename half-applied; fifteen agent processes accumulated in one repository; a timestamp bug that made live evidence look three hours stale. docs/lessons.md is the list. None of it was designed in advance.

The rules it enforces

These are not style preferences. Each one is a failure that cost real hours.

• Whoever writes the code does not verify it, and does not decide it may land.
• A plan is read, never edited — when the document a slice is judged against can be edited by the thing being judged, every later check is circular.
• Pulling work is not authorising it. A tracker item is something a person wrote, not a specification anyone verified. It enters the queue with a written acceptance boundary or it does not enter.
• Heavy operations belong to one actor. Gates are serialised machine-wide; N projects running N test suites is not N times the throughput, it is one suite that no longer finishes.
• Authority lives in always-included context, never in a mailbox. A stuck agent is exactly the agent not reading its mail.
• push is never granted by this tool. Nor PRs, force-pushes, or hook bypasses.

Agent support

ao reads each agent's own session store; the adapter says where and in what shape.

ao adapters shows this table against what is actually installed on your machine, and — with keyflip — whether an account exists even when the CLI does not. Adding one is a JSON file; see docs/adapters.md.

The suite runs on Linux, macOS and Windows with Python 3.9 and 3.12, on hosted runners and locally before every push (commands).

Documentation

getting started · commands · protocol · safety · threat model · roles · privacy · security policy · capability matrix · architecture decisions · slices · gates · sources · adapters · parallel · cloud · models · telegram · mcp · telemetry · surfaces · ledger · recovery · keyflip · ide-extensions · lessons

Status

Working today: every command in the command list, exercised daily against a real project. Still specification: every passage the documents mark as not built yet, read lanes, a lane's role and the merge queue among them, and cross-project parallel execution (the view exists; running several implementers at once is governed by the machine gate lock but has not been run in anger).

MIT.