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wakecycle

v0.0.1

Published

A batch orchestrator for AI coding agents that runs inside your existing agent session - no server, no daemon, no admin rights. (0.0.1 reserves the name; the harness ships here shortly.)

Readme

Wakecycle

A batch orchestrator for AI coding agents that runs inside the agent session you already have — no server, no daemon, no framework, no API keys beyond your session, no admin rights.

Point it at a list of jobs (audit these ten repos, run this benchmark across these branches) and it runs them in a pool, watches their progress, and leaves a complete record on disk — driven entirely by your existing agent session waking itself on a timer, or, on a locked-down machine, by one plain Python script in a terminal window.

The thesis (30 seconds)

Most orchestration frameworks put the intelligence in external infrastructure and treat the model as a worker. The harness inverts that.

  • All the determinism lives in one small stdlib Python script — the tick engine: a disk-truth state machine advanced one idempotent tick at a time.
  • The agent only relays and sleeps. Each tick it runs the script, reads the heartbeats of the workers it started, starts whatever the script tells it to, prints a status table, and schedules the next tick. It never decides anything.
  • Disk is the database. Every run is a directory: the plan, the live status, one heartbeat file per job, one result record per job.
  • Crash recovery is "run one tick." Lost the session? Closed the window? Machine slept? Run one command against the run directory and it picks up exactly where it left off. Idempotency guarantees nothing double-runs.

Because the state machine is a few hundred lines of stdlib Python and the agent's job is ~7 fixed steps, the orchestration runs on a small, cheap model — you spend your capable-model budget on the workers. (Verified on Haiku 4.5; see the support table.)

The worker contract (the whole of it)

A job is anything that appends JSON lines to a file.

A line when it starts, a line every so often, a terminal line at the end — single-line JSON, one writer per file. The status field is the only thing the harness interprets; everything else (label, message, an opaque data object) is decoration it displays but never reads. The worker doesn't have to be an AI: a shell script, a make target, a CI job, or a human with echo >> all qualify. A convenience helper ships for emitting the lines, but it's optional.

The contract follows Postel's law — conservative in what the harness emits, liberal in what it accepts. A worker that never writes, dies mid-run, or writes garbage degrades to a visible STALLED / failed / LAUNCH-FAIL row in the status table — never to a wedged state machine. A malformed line is skipped with a warning, never fatal. (FR-18, FR-19)


Quickstart — watch the whole architecture happen, zero API spend

Install at user level (no admin):

pip install --user wakecycle      # Python 3.10+
# or
npm install wakecycle

0.0.1 is a name reservation. Installing today gives you the wakecycle placeholder command; the harness itself runs from this repo via python3 bin/tick.py, python3 bin/ticker.py, and python3 bin/heartbeat.py. The wakecycle / wakecycle-ticker / wakecycle-heartbeat console commands wire up at v0.1.0; the examples below use those names.

The package ships an example plan with cross-platform Python stub workers — they do no real work and spend nothing; they just walk the heartbeat lifecycle so you watch the architecture happen (pool-limited dispatch, a genuine idle tick, staggered dispatch when the first stub finishes, heartbeat-driven reaps, clean self-termination). (UC-8, FR-31)

You can run the demo two ways. Pick the row that matches your setup (see the decision tree below for the full logic):

Path A — inside a Claude Code session (cadence rung 1)

Open a fresh Claude Code session at the install and paste the bootstrap prompt (references/BOOTSTRAP_PROMPT.md), pointing it at the example plan. The session becomes the orchestrator and drives the run to completion on its own ScheduleWakeup timer — one paste, no further interaction until it reports done (or you drop a STOP file). This path uses in-session subagents as workers.

Path B — a plain terminal window (cadence rung 3, the no-admin floor)

No agent session, no scheduler, no admin rights — just Python:

wakecycle-ticker path/to/demo-plan.json      # loop: tick -> spawn -> sleep -> repeat

The ticker replaces the agent: each tick it runs the engine, spawns the listed workers detached, prints the table, sleeps the cadence, repeats — until every job is terminal. This path uses detached shell workers (dispatch_mode: "shell"). The ticker runs shell entries only (a subagent entry is reported and skipped with the rung-1 instruction), so point it at a shell-dispatch plan — adapt the example by switching dispatch_mode to "shell" and adding a worker_cmd, or use the shell demo plan shipped with v0.1.0. (UC-5, FR-24)

The demo runs in ~20 minutes with the shipped example plan (UC-8); its pace is set by the plan's tick_interval_minutes and the stub's --steps / --sleep, so tune those down for a faster run. Both paths produce the same run directory — the artifacts are tier-invariant.


Which entry point do I use? (the capability ladder)

The harness degrades along two independent axes; the disk state machine is identical at every rung. At startup an orchestrating agent probes its own tooling and announces the rungs it selected (FR-22). As an operator, walk this tree:

1. Do you have an agent session with a scheduling primitive (e.g. Claude Code with ScheduleWakeup)?Yes: paste the bootstrap. Cadence rung 1 + dispatch rung 1 (in-session subagents). The headline workflow — zero infrastructure, one paste. Your session must stay open for the run's duration. (Pair it with a safety tick — see below.)

2. No agent session, but you can install a scheduler entry (cron / Task Scheduler / launchd / host Automations)? → Install the printed one-line schedule running --once at the plan cadence. Cadence rung 2 + dispatch rung 2 (detached shell workers). No window needs to stay open; survives logout. (UC-6)

3. No scheduler rights (locked-down corporate machine)? → Run the foreground ticker in a terminal window. Cadence rung 3 + dispatch rung 2 — the no-admin floor that must work everywhere. The window stays open for the run's duration. (UC-5)

4. Can't even keep a window open? → Advance the run by hand, one printed command at a time (wakecycle-ticker --once <run-dir>). Cadence rung 4. The harness never strands a run: every failure path prints the exact next command. (UC-7, FR-25)

Rungs 2–4 require dispatch_mode: "shell" entries (an externally-ticked context can't launch in-session subagents — C-2).


Host support — what's verified vs designed (honest)

Per NFR-12, every claim is labeled VERIFIED (evidence behind it) or DESIGNED (built and unit-tested, but no end-to-end host run yet). Don't trust a DESIGNED cell as if it were proven.

| Host / rung | Dispatch | Status | Evidence | |---|---|---|---| | Claude Code, cadence 1 (in-session timer) | subagent | VERIFIED | 3 Sonnet validation passes + Haiku 4.5 (one clean autonomous-loop pass + one observed failure path — the low-reasoning-model bet), 2026-06-11; multi-entry pool run with staggered dispatch, agent-honored STOP, detached workers outliving the dispatch turn (pgrep-verified) | | Foreground ticker, cadence 3 (no-admin floor), macOS | shell | VERIFIED | Live end-to-end demo in-repo, 2026-06-12: pool gating, real detached PIDs, idle tick, staggered dispatch on reap, clean DONE — independently reproduced | | Idempotency / idle-tick survival / STOP / resume | both | VERIFIED | Unit suite (mutation-verified) + spike passes; double-tick is cycle-only by construction | | Encoding safety (cp1252 / utf-8) | both | VERIFIED | AST sweep tests with mutation-verified pins | | OS scheduler, cadence 2 (cron / Task Scheduler / launchd) | shell | DESIGNED | --once is the cron target and unit-tested; no cross-host scheduled-run matrix yet | | Windows / Linux, foreground ticker | shell | DESIGNED | Platform branches are stdlib + unit-tested (detach flags, PID liveness, lockfile); verified live on macOS only | | Codex / Copilot / Cursor CLIs as workers | shell | DESIGNED | worker_cmd is CLI-agnostic by design; per-host validation is v0.2 |

The in-session timer (rung 1) is reliable as a timer but the resumed turn has a host-side fragility — see the safety tick.

Deploy rung 1 with a safety tick (recommended)

Because ticks are idempotent and a per-run-dir lockfile serializes concurrent ticks, redundant ticking is safe by construction. So pair a rung-1 (in-session timer) run with a low-frequency external safety tick — cron/scheduler or a second terminal running wakecycle-ticker --once <run-dir> at roughly 3× the plan cadence against the same run directory. While the in-session timer is alive, safety ticks are cycle-only no-ops; if the timer's turn dies, the safety tick rescues the run within one safety interval, with no detection logic and no operator nudge. (FR-26a)

Why this matters (the honest paragraph). In-session autonomous loops have a host-side failure mode we root-caused on 2026-06-12 (Claude Code 2.1.174, 4 observed drops). The wakeup timer itself is reliable — it fired 4/4. The failure is in the resumed turn: it intermittently serializes its first tool call into the text channel as literal <invoke …> markup instead of a real tool call; when the turn ends cleanly on that, the host injects no retry and the loop dies silently until a human nudges it. (When the host does flag the malformed call, it injects a retry and the loop self-heals — 4/4 of those survived.) Context compaction was refuted as the cause. The safety tick sidesteps the whole class because an external --once tick is independent of the in-session turn. Upstream issue: anthropics/claude-code#67945 (filed 2026-06-12).


A run is a directory

--init scaffolds a timestamped run directory; everything about the run lives there (FR-4):

<run-dir>/
  plan.json              snapshot of the plan
  harness_status.json    the live state machine (cycle counter, per-run state, counts)
  queue/                 jobs not yet dispatched (+ per-job prompt files in shell mode)
  claimed/               in-flight jobs (+ <job>.lock with PID for shell workers)
  results/               one terminal result record per finished job
  run-NN/                one per plan entry:
    manifest.json          task id, target, dispatch mode, (optional) heartbeat_path
    heartbeat.ndjson       the worker's append-only progress log
  harness_tick.log       per-tick diagnostics
  .tick.lock             concurrent-tick serialization (E1)

A completed run directory is a self-sufficient audit record — final status, every heartbeat line, every result, the plan snapshot. No chat scrollback required (NFR-9, FR-28).

The status table (the UI)

Every tick prints a pure-ASCII table — per-run state, the worker's current activity label, last heartbeat status and age, plus aggregate counts and the next-tick time:

Run-Dir: 20260612T0500Z (cycle 4)
--------------------------------------------------------------------------------------
RUN  REPO                  MODE    STATE        ACTIVITY        LAST-HB      HB-AGE
01   /repos/service-a      shell   completed    -               COMPLETED    1m12s
02   /repos/service-b      shell   running      2:generation    IN_PROGRESS  0m18s
03   /repos/service-c      shell   LAUNCH-FAIL  -               -            -
--------------------------------------------------------------------------------------
Queue: 0  Claimed: 0  Running: 1  Stalled: 0  Completed: 1  Failed: 1
LAUNCH-FAIL: no heartbeat received within launch grace - check worker-side launch: auth, helper availability, paths.
Next tick in 5 min

States: queued → claimed → running → completed | failed. stalled (a heartbeat older than the threshold) is non-terminal and recoverable. A job that's claimed but never heartbeats past the launch grace becomes LAUNCH-FAIL (displayed; auth_or_launch_failed on disk) and carries a diagnostic hint in both the result record and the table (FR-21b).

Stop and resume

  • Stop: drop a file named STOP in the run directory. The next tick sees it, changes nothing, and exits cleanly — a race-free shutdown that never interrupts the agent mid-action. In-flight detached workers run to their own terminal states (documented orphan behavior; no kill in this release). (UC-3)
  • Resume: point any fresh session at the existing run directory (skip --init), or run wakecycle-ticker --once <run-dir> — or just delete the STOP. Disk state resumes the loop; at most one cycle increment beyond the interruption, zero duplicated work. (UC-4)

Lineage

The harness was built as the Quality Playbook's test harness — replacing a ~10,000-line Python subprocess harness, deleted 2026-06-11 — but its core is payload-agnostic: the validated end-to-end runs orchestrated stub workers with zero Quality-Playbook involvement. It's extracted here because a job is anything that appends JSON lines to a file is a general contract, not a quality-tooling one. The Quality Playbook keeps a vendored copy with a lineage note. (See the Quality Playbook.)

License

Apache-2.0. No network calls of its own, no telemetry, no shell-out except the worker_cmd templates you declare (NFR-11).