lnwjud
Runs a local AI‑agent runtime that exposes your agents through a MCP (Multi‑Channel Protocol) gateway, letting you call them via simple HTTP requests.
- •You want to prototype or test custom LLM‑driven agents on your laptop before deploying to the cloud.
- •Your product needs a lightweight, self‑hosted endpoint that other services can call (e.g., Slack bot, internal tool).
- •You need a unified MCP gateway to route requests to multiple agents from a single URL.
curl -X POST http://localhost:3000/agent/summary -H "Content-Type: application/json" -d '{"text":"Long article about remote work..."}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/lnwjud && curl -fsSL https://workflowstacks.com/api/skills/lnwjud/claude-skill -o ~/.claude/skills/lnwjud/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Lnwjud is a very large TypeScript project (~213k lines across 808 code files, plus 185 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3package.jsonDependencies and the commands it exposes
- 4.env.exampleThe API keys and settings you must provide
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/lnwjud && curl -fsSL https://workflowstacks.com/api/skills/lnwjud/claude-skill -o ~/.claude/skills/lnwjud/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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