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Windlass

A looped agent orchestrator. Windlass runs Claude Code sessions against machine-checkable success criteria and retries until the criteria pass or a stop condition fires.

The core idea: an agent loop is gather, act, verify. The exit condition is named up front, before the agent runs, and it must be machine-checkable. A task succeeds when its HTTP check returns 200, its build command exits 0, or its test suite passes. It never succeeds because the agent says it's done. When a check fails, Windlass feeds the specific failure back into the next attempt's prompt, so each retry starts from evidence instead of a blank slate. Every attempt has a retry cap, a wall-clock timeout, and an audit trail on disk.

What it is

Two entry points over one engine:

  • MCP server (dist/index.js): exposes the orchestrator as tools any MCP client can call.
  • CLI (windlass): run task files, check status, browse history, scaffold new definitions.

The engine spawns claude --print as a subprocess for each attempt, captures its output, and evaluates the declared criteria against the output and the real world (HTTP endpoints, files, build and test commands).

MCP tools

The server registers three tools (see src/mcp/server.ts):

Tool What it does
run_task Run a task with success criteria and retry loops. Accepts an inline task definition or a path to a YAML/JSON file. A file containing a tasks array runs as a pipeline.
check_task Fetch the status of a task execution by ID.
list_tasks List running and recent executions from the audit log.

Install

Requires Node.js 20+ and the Claude Code CLI (claude) on your PATH.

git clone https://github.com/blakestone-x/windlass.git
cd windlass
npm ci
npm run build

MCP configuration

Add the server to your MCP client config. For Claude Code, in .mcp.json:

{
  "mcpServers": {
    "windlass": {
      "command": "node",
      "args": ["/path/to/windlass/dist/index.js"]
    }
  }
}

CLI quickstart

# Scaffold a task definition
node dist/cli.js define test -o my-test.yaml

# Validate without executing
node dist/cli.js run my-test.yaml --dry-run

# Run it
node dist/cli.js run my-test.yaml --verbose

# Inspect
node dist/cli.js status
node dist/cli.js history -n 10

Task definitions

A task is a YAML or JSON file: a prompt for Claude Code plus the criteria that decide success. Example (adapted from src/tasks/build.yaml):

name: build-project
type: build
prompt: |
  Build the project using the standard build command.
  If there are compilation errors, read each error, fix the source, and rebuild.
model: sonnet
max_retries: 3
timeout_minutes: 10
escalation: stop
retry_backoff: exponential
retry_delay_seconds: 5
success_criteria:
  - type: build_succeeds
    command: "npm run build"

Success criteria

Six check types, defined in src/schema/task.ts and evaluated in src/evaluators/:

Type Passes when
http_status URL returns the expected status, with optional body_contains / body_not_contains.
grep_output A regex matches (or doesn't, with should_match: false) the session's stdout, stderr, or transcript.
file_exists A file exists, optionally containing a given string.
test_passes A test command succeeds and the parsed pass rate meets min_pass_rate. Understands Jest/Vitest, pytest, and cargo output.
build_succeeds A build command exits 0.
screenshot The URL is reachable. Visual review itself is a placeholder for now; the check logs the description for manual verification.

Tasks can also declare pre_checks (gate before the agent runs) and post_checks (extra gate after success criteria pass). A post-check failure fails the task.

The loop and its stop conditions

For each task (src/engine/orchestrator.ts):

  1. Run pre-checks. If any fail, the task fails without spawning a session.
  2. Spawn a Claude Code session with the prompt.
  3. Evaluate every success criterion against the session output and the environment.
  4. All pass: run post-checks, then mark succeeded.
  5. Any fail: log the failure, wait out the backoff delay, and retry with a rebuilt prompt that includes the original task, the specific failed checks, and the tail of the last output.

Stop conditions are wired in, not implied:

  • max_retries: the loop runs at most max_retries + 1 attempts, then fails with the configured escalation label (notify, revert, or stop).
  • timeout_minutes: a wall-clock budget for the whole task, checked before each attempt and passed down to the session subprocess, which gets SIGTERM then SIGKILL.
  • Retry backoff: fixed, linear, or exponential on retry_delay_seconds.

Pipelines

A file with a tasks array runs as a pipeline. Tasks declare depends_on; a topological scheduler (src/engine/scheduler.ts) rejects cycles, runs ready tasks in parallel up to max_concurrent, skips tasks whose dependencies failed, and stops early when fail_fast is set.

Audit log

Every execution, session, and failure analysis is written to SQLite at .windlass/audit.db (override the directory with WINDLASS_DATA_DIR). The status and history CLI commands and the check_task / list_tasks MCP tools read from it, so a crashed process loses no history.

Status

Extracted from a private orchestration stack built to automate engineering work at a national commercial field-service operation. This is its first public release. The core loop, evaluators, pipelines, and audit log are working; the screenshot criterion is a reachability check awaiting a real visual-review backend. Expect the API to move.

License

MIT. See LICENSE.

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Looped agent orchestrator: an MCP server that runs Claude Code sessions against machine-checkable success criteria

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