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gateline은 반자동 에이전트 팀이 소프트웨어 개발 라이프사이클을 운영하고, 단계별 승인자는 지정된 인간이 수행하는 오픈소스 프레임워크
gateline is an open-source framework for running the software development lifecycle as a team of semi-autonomous agents, with named humans approving at phase gates.
개발 도구TypeScript · HTMLGitHub @nathancrtr온라인운영자 미확인
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1분 만에 확인하기Run the SDLC as a team of agents that hand off typed artifacts in git. Portable role specs and contracts, models and runtimes as swappable bindings, humans approving at phase gates. Includes the orchestrator and the Gatehouse web/CLI cockpit.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Run the software development lifecycle as a team of agents that hand off
typed artifacts in git, not chat — roles defined as portable contracts,
models and runtimes attached as swappable bindings, and a human approving at
each phase gate from a cockpit that reads nothing but the repository. Built for
senior engineers moving from single-conversation AI pair-programming to
multi-agent development.
Current state: The frontend, CLI, and orchestrator are fully operable and run as one unit via gateline up. Gate approvals are a convention, not evidence, until #129 lands.README 전문 보기 ↗Run the software development lifecycle as a team of agents that hand off typed artifacts in git, not chat — roles defined as portable contracts, models and runtimes attached as swappable bindings, and a human approving at each phase gate from a cockpit that reads nothing but the repository. Built for senior engineers moving from single-conversation AI pair-programming to multi-agent development.
Current state: The frontend, CLI, and orchestrator are fully operable and run as one unit via gateline up. Gate approvals are a convention, not evidence, until #129 lands.
Agents never share a conversation; they share typed artifacts in git. A role consumes files, produces files, and a human approves at up to four gates (spec, plan, change, release — how many depends on the run's profile). Because roles are contracts over files, any agent can be replaced mid-run, models swap via a one-file registry edit, and new runtimes attach by writing a thin adapter — which is how the cross-vendor requirement and "flexibility over customizability" are both satisfied by the same mechanism.
state.yaml — and a malformed
packet never renders as approvable, in the web, the CLI or the API.Every screenshot is Gatehouse, the cockpit, over this repository's own runs — gateline develops itself through its own gates — captured with the orchestrator stopped and its "not running" banner hidden.
Start here → docs/DESIGN.md · then drive the toy
pipeline by hand: docs/WALKTHROUGH.md · then put it
over a real repository: Setup, below.
| Path | What it is | Portable? |
|---|---|---|
docs/DESIGN.md | The architecture: principles, roles, gates, failure modes | — |
docs/TOPOLOGY.md | Control-plane topology: one engine per repository, origin as linearization point | — |
docs/FRONTEND.md | Design for the gate frontend — the human interfaces to the pipeline (plan: FRONTEND-PLAN.md) | — |
docs/INTEGRATION.md | Design (draft) for the workflow that imports the framework into a host repo | — |
docs/ORCHESTRATOR.md | Design for the v1 agent-orchestrated operating mode (implemented in packages/orchestrator) | — |
packages/ | The gate frontend (web, CLI, server over @gateline/core) and the v1 orchestrator (packages/orchestrator) | product component |
roles/ | Runtime-neutral role specs (mission, instructions, escalation triggers) | ✅ core |
contracts/ |
The shortest path from nothing to a working install: vendor the framework into a
host repo with gateline init, then run the cockpit over it with gateline up.
Every step below is rehearsed against the current tree. No tagged release exists
yet, so the source is a clone of main; once the first release tags, a pinned
release replaces the clone as the canonical source
(INTEGRATION.md §3).
Prerequisites: git; Node ≥ 24; and an agent runner logged in on your
machine (Claude Code in the examples — the Copilot CLI and opencode adapters
render the same agents). The integration tooling has no dependencies of its own,
so it runs from a bare checkout before anything is installed.
git clone https://github.com/nathancrtr/gateline.git
cd gateline/packages
npm install && npm run build # builds the Gatehouse SPA once
(cd cli && npm link) # global `gateline`, linked to this checkout
The linked CLI runs from this tree — keep the checkout on main (it is the
operator's instrument; the host repo does not depend on it).
gateline init ~/repos/my-app --provenance private
One command: it detects the runners present in the host, vendors the portable
core under .gateline/, seeds the model registry and policy overlays, renders
the agents, writes the lockfile, and adds a CI check that fails on stale renders.
--provenance has no default on purpose — state the host's posture: private
for a closed host, redistribute for an open-source one.
What lands in the host is content only — role specs, contracts, templates.
No framework executable is vendored, so there is nothing in the host to keep in
step with this checkout. The tooling runs from the checkout the lock pins, and
the CI check init writes pins the same ref
(INTEGRATION.md §3). Before you have installed the
cockpit, the same command is
node <checkout>/packages/framework/src/main.ts init ~/repos/my-app --provenance private.
init prints the one dispatch that remains: open your runner in the host repo
and ask it to use the integrator subagent for run runs/000-integration,
producing integration-profile.md per contracts/integration-profile.md.
Review what it produces — the environment probe and the drafted overlays are
the "how should agents behave in this house" decision (gate GI) — then
prove the result:
gateline validate ~/repos/my-app # checksums, renders, provenance
Two things gate real dispatch: bind real model IDs in
.gateline/registry/models.yaml (the seeded values are illustrative
placeholders), and give each run a budget.cost_limit_usd — no ceiling, no
dispatch. Then:
gateline up --repo ~/repos/my-app --spend-limit-usd 20
That serves Gatehouse on 127.0.0.1:4310 and runs the orchestrator engine over
the same clone — dispatch bills through whatever harness CLI is logged in
locally, orchestrator commits push to origin by default (--no-push to keep
them local), and gates remain named-human decisions in the UI or via
gateline approve. To look before anything dispatches:
gateline status --repo ~/repos/my-app renders the same state read-only.
The browser is optional. The whole gate workflow is terminal-native —
gateline inbox, approve, decline, resolve-escalation — and the engine
runs headless without Gatehouse: gateline-orchestrator watch (resident) or
tick (one reconcile pass, with --dry-run to derive and print next actions
while writing and dispatching nothing). Common terminal workflows and their
pitfalls: packages/cli/README.md.
Before the first real dispatch, read ORCHESTRATOR.md §10
(the autonomy ladder — first live work is a toy run with humans at every gate).
To drive the pipeline by hand instead — no Node, no orchestrator, just the
rendered agents and git — start at WALKTHROUGH.md.
INTEGRATION.md has the knobs this section skips
(--take partial adoption, --layout root, forks and upgrades);
DEPLOY.md hosts the same pair on a single-user instance.
v0.3 — the design has been exercised end-to-end by three human-orchestrated G0→G3
runs (runs/wordfreq/, runs/mdtoc/, runs/dupefind/, each with adversarial review
cycles and independent verification — the shadow-agreement evidence for the v1 trust
ladder), and since then by orchestrator-driven runs against this repository itself;
retro findings fold back into roles, contracts, and all three adapters. Runs now
declare a profile — patch | standard | full (DESIGN.md §4.1)
— that scales which roles run and which gates exist to the size of the change, so a
bug fix no longer pays for the full ceremony. The gate frontend (web, CLI, server)
and the v1 orchestrator are implemented in packages/ and run as one co-located unit
(gateline up), with one engine for each repository it dispatches in
(TOPOLOGY.md); a single-user hosting recipe lives in
deploy/. Autonomy stays gated on the DESIGN.md §7 promotion criterion.
Next: live cross-vendor dispatch and verifiable run record (#129), then the integration workflow (INTEGRATION.md) and a first tagged release.
Copyright © 2026 Nathan Carter. Licensed under the Apache License 2.0; see NOTICE.md for provenance.
| Templates for every handoff artifact (spec, plan, task, reports, state) |
| ✅ core |
registry/models.yaml | The only place vendor/model IDs exist; roles bind via capability profiles | ✅ core |
packages/framework/ | Reads role specs and adapter manifests, renders every adapter's agent files, and integrates the framework into a host repo (gateline render|init|validate|fork); dependency-free, so it runs with nothing installed | product component |
scripts/copy-manifest.json | The core-layer files a release offers a host, and the menu --take selects from | ✅ core |
adapters/claude-code/ | First runtime binding: role specs → .claude/agents/ subagents | per-runtime |
.claude/agents/ | The rendered subagents (runnable in Claude Code today) | per-runtime |
adapters/copilot-cli/ | Second runtime binding: role specs → .github/agents/*.agent.md custom agents | per-runtime |
.github/agents/ | The rendered custom agents (runnable in Copilot CLI today) | per-runtime |
adapters/opencode/ | Third runtime binding: role specs → .opencode/agents/*.md agents | per-runtime |
.opencode/agents/ | The rendered opencode agents (any-provider model bindings) | per-runtime |
runs/ | One directory per pipeline run; a run in flight lives on its run/<slug> branch until it lands — the pipeline state lives in git | working area |