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Project-neutral, multi-agent workflow core: a fixed backbone of steps that drives an issue from backlog to done, customised per project via config + add-only Lego extensions.

Project description

keel — a fixed backbone that drives a GitHub issue from backlog to merged

keel ⚓

CI coverage CodeQL PyPI Python License: Apache-2.0

Keel turns coding agents into work owners. It is a project-neutral, multi-agent workflow backbone that drives a unit of work — a GitHub issue — from intake to done: understand readiness, branch, implement, wait on CI, review, test, merge safely, close, and run capture hooks. Projects never fork the backbone: they set per-project values in project.yaml and snap their own Lego pieces into named extension slots.

The keel is a ship's backbone — the fixed spine every project builds on. The flagship command is keel:ship; keel is where ships are built.

Keel is based on the work pattern of a strong teammate in a real engineering team: take an issue from the queue, decide whether it is ready, own the implementation, get it reviewed, keep the quality gates green, merge inside policy, and leave useful memory behind for the next session. keel focuses on one agent owning work end to end.

keel uses a thin-consumer model: the core is installed + pinned, never copied, so the drift/overwrite class of bug is structurally gone. Background: docs/proposals/keel-architecture.md.

Three layers

Layer 3  EXTENSIONS   project-owned Lego pieces, ADD-ONLY into named slots
Layer 2  CONFIG       project.yaml — per-project values (branch, build cmd, globs, agents…)
Layer 1  BACKBONE     keel-core — fixed ordered step machine + invariants (this package)

Changing the backbone is a keel-core change. Projects only ever touch layers 2–3.

What you get

  • One backbone, every agent — install once; /keel:<command> runs as native Claude commands and as a single shared skill set every other agent (Codex, Antigravity, Gemini) reads.
  • Project Lego + policy packs — snap gates/steps into named hooks (guard, tester, pre-merge, …) and keep labels, path policy, health sources, local commands, and workflow preferences in policy_pack data instead of packaged command prose.
  • Opt-in jury gate — runs the ai-jury multi-agent reviewer on the diff when installed; a fail-soft no-op otherwise.
  • Safe merges by construction — timezone-aware night no-merge window, mkdir merge lock, risk-tier → reviewer count, hotfix bypass with an audit line, vendor+model attribution.

How Keel compares

Keel sits between three established tool categories:

category examples where they usually stop what Keel adds
Coding agents OpenHands, SWE-agent, Copilot coding agent, Devin create or update a PR intake, review gates, merge policy, closeout, capture hooks
PR reviewers CodeRabbit, Qodo / PR-Agent, Greptile, Cursor Bugbot review an existing PR implementation loop, tests, merge lock/window, closeout capture
Merge queues GitHub Merge Queue, Mergify, Graphite, Trunk serialize tested PRs issue ownership before the PR exists

Keel is not trying to replace those tools. It is the work-ownership backbone that can use coding agents, reviewers, gates, and merge policy in one lifecycle. See docs/keel/comparison.md for the source-backed comparison and the ideas Keel should borrow.

The backbone

step name primary hooks
s0 config after:config
s1 select before:select, select, after:select
s2 branch before:branch, after:branch
s3 guard guard
s4 implement before:implement, after-implement agent
s5 classify classify, after:classify agent
s6 ci before:ci, after:ci
s7 review reviewers, after:review agent
s8 test tester, test, after:test
s9 fixloop before:fixloop, fixloop, after:fixloop
s10 merge pre-merge, after:merge
s11 capture capture, post-merge
s12 close before:close, on-close, after:close

Invariants the backbone always preserves: merge lock, night no-merge window, fail-soft, orchestrator-only-writes, vendor+model attribution.

The capture step has a core marker/verifier contract: compound-learning: pr=<N> status=<applied|deferred|skipped:reason>. Projects provide capture content and destinations through capture / post-merge extensions; keel owns the marker, fail-soft semantics, redaction-before-durability, offline capture-verify, and the learning-quality decision recorded in capture.learning. Durable learning is optional: policy can choose create-learning, marker-only, or defer, while duplicate candidates are suppressed by stable fingerprints so routine merges do not flood the learning surface.

Install

keel is a Python (≥3.11) package with one runtime dependency (PyYAML):

pip install keel-workflow                                     # from PyPI (provides the `keel` command)
pip install "git+https://github.com/berkayturanci/keel@v1.2.1"  # or pin an existing git tag

In a cloud agent session, install it from a SessionStart hook (or add keel to the session's repo scope) so the selected core ref is available before a run.

Release maintainers should follow docs/keel/release.md and run python scripts/release_smoke.py before tagging or announcing a package.

Quickstart

keel setup --root .                                  # add keel config + adapters to a project
keel validate projects/example-flutter.yaml          # validate a config against the schema
keel plan      projects/example-flutter.yaml          # show the backbone plan for a project
keel version

keel setup wraps first-run onboarding (init + install-adapter + strict validate + plan) for a consumer project. keel plan renders the fixed backbone with each project's gates/extensions slotted in — exactly what a dry-run executes:

keel plan — example-flutter
  base_branch: main   core_version: ^1.0
  backbone:
     s4  implement  [agent]
     ...
     s8  test
           - gate: build
           - gate: lint
           - gate: design-parity
    s10  merge
           - gate: design-parity-gate

Invocation (/keel:<command>)

The agentic workflows ship with the package as project-neutral adapters and install into the two surfaces agents actually read — so the same /keel:<command> works in every project; only that project's .keel/project.yaml + extensions change the behaviour:

keel install-adapter claude   # native Claude commands → /keel:ship, /keel:regression, …
keel install-adapter skills   # one shared keel-<cmd> skill set under .agents/skills/
#                               (read by every non-Claude agent: Codex, Antigravity, Gemini)
keel install-adapter all      # both surfaces

Claude Code plugin

The same /keel:<command> flows are also packaged as a Claude Code plugin, so you can add them to a session without pip install — straight from this repo's built-in marketplace:

/plugin marketplace add berkayturanci/keel   # register the keel marketplace (this repo)
/plugin install keel                          # install the keel plugin → /keel:ship, /keel:regression, …

The plugin ships the same project-neutral command bodies as keel install-adapter; the two flows are additive. The plugin's command files under commands/ are generated from src/keel/adapters/commands/ (the single source of truth) by make plugin / keel install-adapter plugin, and a test fails on any drift. The pip install keel-workflow

  • keel install-adapter path is unchanged.

16 shipped commandsship (flagship, with a --compound profile flag), implement, review-cycle, review-all-day, pr-loop, regression, triage, morning, work-block, overnight, wrap, ci-check, coverage, deps-audit, flake-audit, stale-prs. Each is described in docs/keel/commands.md. The keel CLI does the deterministic work; the adapters are the agentic flows (per-round review, inline comments, delegation).

Dogfooding

keel drives itself from .keel/project.yaml using the latest ^1.0 core contract (Python, make test + make lint gates), and CI runs keel on keel-core on every push. projects/keel.yaml remains a seed copy and is tested to stay in sync with the dogfood config.

keel plan      .keel/project.yaml --root . # render keel's own backbone
keel run-gates .keel/project.yaml --root . # keel runs its own test + lint gates
keel ship      .keel/project.yaml --root . # full dry assessment: tier, window, gates, decision
#   risk tier     : TIER-3  → 3 reviewer(s)
#   decision      : MERGE — clear to merge

If a step's gate fails, keel blocks its own merge — the same backbone every consumer gets.

Docs

Development

Stdlib-first, pure-core + thin-I/O, deterministic, fully covered (ai-jury ethos).

make test       # offline unit suite (no network, no credentials)
make lint       # ruff
make coverage   # coverage gate (fail_under in pyproject)
make validate   # validate projects/*.yaml and .keel/project.yaml
make site       # build the coverage report + serve the website at localhost:8000

The pure core (config, model, extensions, findings, gates, orchestrator, cli) is held at 100% line + branch coverage; the coverage gate (fail_under = 100) runs in CI.

Repo layout

src/keel/            the core package (config, model, extensions, findings, gates, orchestrator, cli)
src/keel/schema/     project.schema.json (bundled)
.keel/project.yaml   keel's own dogfood consumer config
projects/*.yaml      example configs and the keel seed copy
src/keel/adapters/   the packaged /keel:<command> bodies (install-adapter: claude commands + shared skills)
website/             static site + coverage report (make site)
tests/               unit suite
docs/                docs + proposals

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