Serge
Serge gives you a ready‑made web UI and simple HTTP API for chatting with an Alpaca‑style LLM running on llama.cpp.
- •You need a quick prototype UI for a custom LLM without building a front‑end from scratch.
- •Your team wants to expose a llama.cpp model via a REST endpoint for internal tools or bots.
- •You want to run an Alpaca‑style model locally (or on a private server) with minimal setup.
curl -X POST http://localhost:8008/api/chat \
-H "Content-Type: application/json" \
-d '{
"messages": [
{"role": "system", "content": "You are a friendly product manager."},
{"role": "user", "content": "Draft a 3‑sentence pitch for a SaaS that auto‑generates meeting notes."}
]
}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/serge && curl -fsSL https://workflowstacks.com/api/skills/serge/claude-skill -o ~/.claude/skills/serge/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Serge is a medium Svelte project (~3.4k lines across 38 code files, plus 2 test files). Setup is light: runs with Docker. Last commit 10 months ago, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/serge && curl -fsSL https://workflowstacks.com/api/skills/serge/claude-skill -o ~/.claude/skills/serge/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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