A stark AI product
LoopLatch: safe local loops for Codex CLI
LoopLatch turns a task, verifier, and stop condition into an inspectable local Codex loop harness. The browser builder keeps boundaries visible and execution in your own environment.
A controlled frame for repeated agent work
For an agent loop, “try again” is not a sufficient instruction. Every pass needs a fixed objective, objective feedback, and a limit that stops further attempts.
LoopLatch brings those inputs together in a clear interface. The result is a harness prompt and, when useful, a local starter archive for Codex CLI. Inputs and artifact generation stay in the browser; agent execution happens locally in the selected project.
What LoopLatch deliberately makes simple
01
Combine task and verifier
The desired state and the command that proves it live in the same executable context.
02
Define visible stops
Success, maximum passes, and blockers that cannot be resolved automatically stop the loop clearly.
03
Lock safety requirements
Critical safety rules are part of the generator rather than an incidental option.
04
Stay local and inspectable
The generated prompt and included files can be read and versioned before execution.
From the form to a local loop
LoopLatch separates problem definition from execution, so the intended behavior is visible before the first agent action.
- 01
Choose a template
Test fix, feature, CI, review, or custom tasks provide a clear starting point.
- 02
Specify the task
Capture the objective, project context, verifier, stop condition, and relevant limits.
- 03
Review suitable skills
Optional recommendations explain which reusable working method may help before the loop.
- 04
Generate and inspect the artifact
The prompt or ZIP is created locally in the browser and can be reviewed in full before use.
- 05
Run it in the project
Codex CLI uses the harness in the local development environment with its available tools.
01
Suitable tasks
LoopLatch is most useful when a reliable command or clearly observable condition can measure progress.
- A focused test fix with a reproducible failure.
- A bounded feature with clear acceptance checks.
- A CI repair with locally runnable validation.
- A review or custom task with an unambiguous completion criterion.
02
Deliberate product boundaries
LoopLatch is not a hosted agent runner, repository scanner, or replacement for approval processes. It does not send the submitted task to a stark AI service for execution.
Tasks without a stable verifier, with wide external effects, or with unresolved architecture decisions should be narrowed and decided by people first.
03
Agent Skills as a clear preparation step
A template can recommend suitable public skills. These recommendations do not change the prompt or ZIP automatically. Customers decide whether to install and invoke a skill before the loop.
Use and understand LoopLatch
Common questions about LoopLatch
Does LoopLatch run Codex itself?
No. LoopLatch generates a local loop harness. Execution then happens in the customer's own Codex CLI and project environment.
Are my inputs sent to a backend service?
The LoopLatch MVP processes form inputs and generated artifacts in the browser. It has no product backend path for tasks, prompts, repository content, or secrets.
What task is a good fit for a loop?
A small reversible task with a reproducible starting state, stable verifier, and clear stop condition is a strong first use case.
Are Agent Skills required for LoopLatch?
No. They are optional preparation tools. LoopLatch works without installed skills and does not change its generated harness because of a recommendation.
Prepare a local Codex loop you can inspect
Open LoopLatch, choose a suitable template, and start with a tightly bounded task and a real verifier.