CodyCody

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.

Works with any MCP client — Claude Code · Codex · your own agent

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.

Verified shell output

Every shell step returns a SHA256 hash of its real output. Agents cannot hallucinate a green build or claim a test passed when it didn't.

Prompt-injection guardrails

Interpolated data is wrapped in trust preambles, so content flowing through a workflow can never masquerade as instructions to your agent.

Visual workflow designer

Design workflows in a visual editor: branches, gates, task lists, sub-workflows and reusable instruction files — no code required.

Metrics & execution logs

Every run is observable: per-step logs, durations, failure rates and replayable instances, queryable by the agent itself.

Human approval gates

Pause any workflow for a human decision. Deployments, refunds, destructive actions — the agent waits until you approve.

How it fits

One MCP server between your agent and chaos

Your agent
MCP server
Workflow engine
Your repo & shell

The agent drives execution with a handful of tools:

workflow_listinstance_startinstance_getinstance_logsinstance_approvemetrics_summary

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. The 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 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.

Put your agent on rails today.

Engine license, ready-made workflow packages, or everything at once. Self-hosted, works with the agents you already use.

See pricing