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How Mooting is put together

One file is the load-bearing one, and it is not a Python file.

The board is the substrate

mooting/schema.sql is the protocol. Everything else — the MCP server each CLI spawns, the supervisor, the two human surfaces — is a view onto those tables. If a CLI dies, or an adapter flakes, or the supervisor is not running at all, the board is still there and a person or an agent can still move the topic forward.

That gives the whole design its shape:

  • The supervisor is an accelerator, not a requirement. Everything it does you can do by hand with mooting nudge. A failed wake leaves the seat's cursor untouched, so the agent catches up whenever anything wakes it next. A flaky adapter never deadlocks a topic.
  • State lives in one SQLite file, in WAL mode with a busy timeout, because N MCP server processes, a supervisor and a UI all write to it.
       ┌── claude ──┐                       your terminal
       ├── codex  ──┤                    ┌─────────────────┐
CLIs ──┼── copilot ─┼── MCP stdio ──►  ┌─┴──────────┐      │
       └── agy    ──┘                  └─┬──────────┘      │ mooting console
             ▲                           │                 └─────────────────┘
             └──────── supervisor ───────┘
                    (spawns, wakes, caps)

The fences are in code, not in prompts

An instruction is advice. Three things are checked where they happen:

rule where
Only a human closes a proposal Store.decide refuses a non-human, and there is no mooting_decide tool in the agent-facing surface at all
Only a human ends a meeting Store.conclude
A post must come from a seat on that topic Store.post — a mis-attributed message becomes an error where it happens

Execution needs two independent keys: a seat registered --capability execute and a wake for an approved task on a work topic. An execute-capable seat sitting on a meeting topic stays read-only. Store.decide is the only code path that moves a task out of draft, so "nothing runs before a human approves the plan" is checkable rather than promised.

The driver contract is small on purpose

A driver does not carry the agent's reply back. The agent posts to the board itself through its own MCP tools. A driver only delivers a prompt into the right session, knows when the turn ended, and captures the CLI's session id.

That matters because the five CLIs agree on almost nothing — output formats, session semantics, which flags exist. If the driver had to extract the reply, every adapter would need an output parser that breaks on the next release. It does not, so they do not, and each adapter is about forty lines.

docs/DRIVERS.md records what each CLI actually does, and the four traps that cost real time to find. All of it was measured against the binaries, not read from documentation.

Identity

A seat's name is bound when its MCP server launches — --agent <seat> in the server's argv, which the model cannot change. Claude and Copilot take that server per run, so the name travels with it. Codex and Antigravity cannot, and use a registration under the seat's own name (mooting install).

Get this wrong and a seat posts under another seat's name. It happened: a seat called Gravity running agy posted as agy, and the supervisor then reported Gravity as having said nothing. Store.post's seat check exists because of it.

Turn-taking

A round wakes every eligible seat concurrently, against one shared event cursor, so nobody sees a peer's message from their own round. Round wall-clock is max(seat) rather than sum(seat), and first-speaker anchoring disappears. mooting run --sequential restores one-at-a-time when same-round rebuttal matters.

A seat is eligible when its cursor is behind the board — which is what makes the loop terminate on its own. An outstanding question narrows the round to whoever was asked; a question put to a human stops the room.

Cost

Live debate spends real subscription quota with nobody watching, and routing work across vendors is meant to save it. So every ceiling pauses for a person rather than continuing quietly:

  • per-seat turns, per-topic rounds, per-agent wakes per hour
  • a failed wake counts, because a metered CLI charges for it
  • the catch-up excerpt is bounded — unbounded, a failed wake makes the next attempt larger, which makes failure likelier

Latency is inference, not transport. Measured on a real 10k-character prompt: one turn at default effort 279s, the same turn at --effort low 31.8s, against ~5s of process spawn and MCP handshake. Persistent sessions and ACP — the things that look like the fix — would save about 2%.

Work

A manager drafts tasks; the whole plan goes to a human as one ordinary proposal; approval turns drafts into assigned work. Each task gets a git worktree on mooting/task-N, because concurrent workers pointed at one checkout overwrite each other, and because the result stays reviewable — your working branch is never touched and merging stays a human git action.

If a worker finishes without reporting, the branch is checked for commits: evidence beats the claim. No commits and no report reads as blocked, not done.

Layout

mooting/schema.sql the protocol
mooting/store.py the board, and the fences
mooting/supervisor.py turn-taking, caps, worktrees, the work loop
mooting/drivers/ five adapters over one transport (spawn), and a fake
mooting/mcp_server.py the eleven tools a seat sees
mooting/tui.py the full-screen session
mooting/console.py the REPL, and the command dispatch both surfaces share
mooting/cli.py the shell surface
mooting/minutes.py meeting minutes and work log
mooting/doctor.py per-CLI smoke test that asserts on the board, not on exit codes

Testing

The suite asserts on computed board state after the loop actually runs — turn counts, cursors, proposal status, the executing flag the driver received. A test that greps for a guard clause goes green while the guard is bypassed somewhere else.

FakeDriver posts to the board exactly as a real agent does, so turn-taking, caps and the human gate are proven without spending a single token. The Textual and prompt_toolkit surfaces are driven headlessly by their own test harnesses, because a UI nobody has executed is a UI nobody has tested — that happened here, and the fix is tests/test_tui.py and tests/test_console.py.