Your coding agent, on rails.
CodyCody is a deterministic workflow engine with an MCP server that keeps Claude, Codex and any MCP-capable coding agent on the happy path — every step verified, every run reproducible.
Free Starter tier · Pro €299 / seat / yr · self-hosted & offline
Why deterministic
Agents are brilliant and unreliable. Give them rails.
Deterministic execution
Your agent follows the workflow — it cannot drift, skip steps or improvise its own plan. The engine decides what happens next, the agent does the work.
Visual workflow designer
Design workflows in a visual editor: branches, gates, task lists, sub-workflows and reusable instruction files — no code required.
Human approval gates
Pause any workflow for a human decision. Deployments, refunds, destructive actions — the agent waits until you approve.
Personal profiles & library
Every user signs in to their own library of workflows and skills that travels with them across every project — bound to your instance, never exported off it.
Accounts, seats & agent tokens
Built-in login, per-profile seats enforced by a signed license, and long-lived, revocable tokens so a coding agent or CI job authenticates on its own.
Ownership scopes
Mark any workflow or skill personal. Personal work follows you across projects; shared work stays with the team. Personal items can't be exported.
How it fits
One MCP server between your agent and chaos
The agent drives execution with a handful of tools:
ccw_listccw_startccw_continueccw_statusccw_instance_listccw_instance_logsccw_instance_cancelccw_step_backccw_skill_listccw_skill_callSee how this fits alongside other approaches: compare Claude Code orchestration tools.
The accuracy argument
Probabilistic workers need deterministic scaffolding
A coding agent left to plan its own work will succeed nine times and quietly derail the tenth: a skipped test, an invented build result, an instruction it absorbed from data it was only supposed to read. When the job grows, errors grow significantly. These failures aren't random — they are what happens when a probabilistic system is also in charge of its own process.
CodyCody separates the two. The workflow engine owns the process: which step comes next, what counts as done, what output is real. The agent owns the craft: writing the code, reading the logs, making the judgment calls inside each step. Every shell result is hash-verified, every gate needs a real approval, every run leaves a replayable trail.
The result is the accuracy of a checklist with the intelligence of an agent — on every run, not just the good ones. If your procedure currently lives in CLAUDE.md, see exactly where that holds and where it doesn't. We wrote up the mechanism behind the skipped test and the invented result in detail: why coding agents skip steps, and how to stop it.
Put your agent on rails today.
Start free on the Starter tier, add ready-made workflow packages, or take everything at once. Self-hosted, offline, works with the agents you already use.
See pricing