Worca – Deterministic Multi-Agent Pipeline

CLARIFY · PLAN · REFINE · IMPLEMENT · REVIEW · CLARIFY · PLAN · REFINE · IMPLEMENT · REVIEW · CLARIFY · PLAN · REFINE · IMPLEMENT · REVIEW ·

Deterministic multi-agent pipeline Your AI agents, on rails.

Describe the work, get back a reviewed pull request. A deterministic engine runs the agents, loops until the work passes its quality gates, and stops only to ask you what matters.

Watch the film 2:34

web UICLIany modelisolated worktreesbuilt for teams

worca — the film · 2:34

the film2½ minutes · sound on

task in, PR outreviewed, merge-ready work

How a run works Describe the work. Approve the result.

Agents do the creative work; the engine does the control flow. Pick a workflow, or let Auto build one for the task. Every step, verdict and file is recorded.

Hidden decisions become questions before any code is written.

The planner explores the codebase and writes a concrete plan.

The refiner rewrites the plan until no major issues remain.

The implementer follows the approved plan, test first.

The reviewer sends blocking findings back until the diff is clean.

A finished run ends on its own branch, one click from a pull request. See the whole pipeline →

Any model, schedules, a record of every run, limits you set outside the agent, and a whole team working in one place.

How it works

Workflows you can see and change.Auto picks the workflow, or build one in the Composer: agents, script cards and bounded loops. Every step files what it wrote.

Models & costs

Any model. Every dollar accounted.Claude, GitHub Copilot, Ollama or LM Studio on your desk, free OpenRouter models. Caps, budgets, and the hours each run saved.

Automation

Runs that start while you sleep.Schedule a run for tonight or every weekday, chain runs onto each other's branches, and answer from Slack or Telegram.

Ask Worca

An assistant that knows your runs.Ask what the reviewer flagged, attach a screenshot, let it read the docs page, or have it schedule the next run.

Teams

One Worca for the whole team.Metrics and a delivery timeline, a team policy kept in git, a shared server behind sign-in, and each person pays with their own key.

Security

Autonomy, with limits.Guardrail policies that repo settings can't undo, a disposable container, and agents that never see a model key.

The same Worca everywhere. Start on your own machine and move to a shared server when the team joins, keeping your workflows and history.

macOS, Linux or native Windows. npm i -g @worca/app

Agents run inside it, and your home folder isn't mounted. worca container up

Any container host, behind the sign-in you already use. Worca records who started, paused and approved each run.

Spend, a delivery timeline and team caps, stored on branches in your own repo. No extra server.

Runs pause, they don't dieA 500, a rate limit or an expired login pauses the run with its worktree intact. Resume picks up where it stopped.

Mock modeThe whole pipeline runs offline with a deterministic mock: no agents, no tokens. For demos, development and CI.

Plugins & marketplacesTask sources, agents, scripts, skills, workflows, models and chat channels. Each install shows what it adds and asks you first.

WorkspacesGroup related repos. One run fans out across all of them with a single cross-project review verdict.

One-click PRsA finished run shows its diff and opens a pull request, even from a fork, and reports back to the issue it came from.

Nothing in your repoRun state lives in one SQLite database in your home directory. Your checkout stays clean.

Simple to ExpertNew installs start with a short sidebar and a Getting started checklist. Switch to Advanced or Expert when you want everything.

OPEN SOURCE · MIT · OPEN SOURCE · MIT · OPEN SOURCE · MIT · OPEN SOURCE · MIT · OPEN SOURCE · MIT · OPEN SOURCE · MIT · OPEN SOURCE · MIT · OPEN SOURCE · MIT ·

Free and open source · MIT Ship work you didn't babysit.

One npm install on macOS, Linux or Windows. Or a container, or a shared server for the team.