How to use Lnwjud (engasnm111/lnwjud): 4 use cases

4 use cases

Run a Release Readiness review before publishing a build

Run the Release Readiness workflow on a local project and review its evidence before a release.
- REPO engasnm111/lnwjud
- Software and DevOps
- Intermediate
View prompt
```
Using the lnwjud repo, run its Release Readiness workflow on <project path> and report which readiness checks have recorded evidence and which do not. Verify that the preview did not start a Goal, scheduler or AI worker.
```
Audit a CSV or XLSX file for data problems

Use the Data Audit workflow to check a tabular file for typed issues while keeping the source file.
- REPO engasnm111/lnwjud
- Software and DevOps
- Intermediate
View prompt
```
Use the lnwjud repo's Data Audit workflow on <file path> and list the typed findings by column. Verify that the source file is preserved after the audit.
```

Review Git changes in the explorer before committing

Browse changed and untracked files, read diffs, and run a Code Review workflow on a repo.

View prompt

In the lnwjud repo, use the Git explorer and Code Review workflow on <repo path> to list changed and untracked files and summarize the riskiest diffs. Verify that each untracked file in a new folder is listed individually, not only as a folder count.

Delegate a bounded task to Codex through Agent Swarm

Hand a scoped coding task to a Codex agent and monitor its progress from Lnwjud.

View prompt

Using the lnwjud repo with Codex delegation and Agent Swarm enabled, delegate <task description> to a Codex agent in <workspace path> and report its status. Verify that monitoring continues after the start request ends and that the terminal receipt is retrievable.

Quick start with Lnwjud

Check you have what it needs: A Windows, macOS or Linux computer that can run a published lnwjud build; A local project folder to use as the workspace; For Codex delegation: Codex access with enough account quota.
Open engasnm111/lnwjud on GitHub and read the README and license.
Download the Lnwjud build for your platform from the release page: Windows Portable x64, macOS Intel x64 DMG, or Linux x64 AppImage.
Open Lnwjud and select the project folder as the workspace.
Open the workflows list and choose Release Readiness.
Fill in the required inputs. Lnwjud checks them before it prepares a draft.

These steps come from our top use case, Run a Release Readiness review before publishing a build, which also has a copy-paste agent prompt.

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Using the Deduped MCP, get the setup steps for engasnm111/lnwjud

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About this repo

Who it is forAimed at developers and engineering leads who want to run AI agents and review project work on their own machines.
Why it is hot206 stars, launched 77 days ago
LanguageTypeScript
Sourcegithub.com/engasnm111/lnwjud · Back to Hot repos

Requirements

A Windows, macOS or Linux computer that can run a published lnwjud build
A local project folder to use as the workspace
For Codex delegation: Codex access with enough account quota

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Questions about Lnwjud

What is Lnwjud?

lnwjud is a cross-platform local AI-agent runtime and MCP gateway that exposes 294 tool definitions for files, Git, processes, browser control and more. It is an open-source project on GitHub: https://github.com/engasnm111/lnwjud.

How do I use Lnwjud?

Download the Lnwjud build for your platform from the release page: Windows Portable x64, macOS Intel x64 DMG, or Linux x64 AppImage; then open Lnwjud and select the project folder as the workspace; open the workflows list and choose Release Readiness. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Lnwjud for?

Aimed at developers and engineering leads who want to run AI agents and review project work on their own machines.

What can I do with Lnwjud?

4 use cases so far, for example: Run a Release Readiness review before publishing a build; Audit a CSV or XLSX file for data problems; Review Git changes in the explorer before committing. Each has steps and a copy-paste agent prompt.

What do I need to run Lnwjud?

A Windows, macOS or Linux computer that can run a published lnwjud build; A local project folder to use as the workspace; For Codex delegation: Codex access with enough account quota.

What are alternatives to Lnwjud?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Lnwjud safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.