Model Salt
Ask a language model for the same thing ten times and you get the same answer ten times. Model Salt is an MCP server that gives your model randomness from outside it, so one prompt gives ten different answers that still do exactly what you asked.
[npm] [MIT licence]
modelsalt.com · works in Claude Code, Codex, Gemini CLI and Kimi Code
[Ten runs of "Generate an SVG of a pelican riding a bicycle" on Claude Opus 5.5: the plain prompt draws the same pelican ten times, with Model Salt nine of the ten pictures are different]
Install
One command adds it to your client. Run it once.
Start a new session in your client after it, and the model_salt tool is there.
- What it adds: the
model-salt server in your client's MCP list. For Codex and Kimi Code it also adds a short skill at ~/.agents/skills/model-salt/ that tells the model when to call the tool, and for Codex one setting on that server so the model sees the tool from the start.
- Gemini CLI runs local servers only in folders you trust.
- See first: add
--dry-run to print what it would change and change nothing.
- Run it twice: nothing changes the second time.
Undo
It takes out everything setup added. The skill stays while another client of yours still uses it. --dry-run works here too.
Use it
Ask for anything with room for choices: a picture, an SVG, a page, a name, a story, a plan. The model calls model_salt with your request, gets back what to settle this time, and then does your request as you asked it.
Want more or less of it? Say so in your prompt ("make it really different", "keep it close to the usual"). The tool takes a setting from 0 to 2. Left out, it is 1.
The model skips the tool for questions with one right answer (a sum, a fact, a bug fix).
Keep what you like. Like part of a result? Say what to keep in plain words ("keep the palette and layout, give me new illustrations"). Your model copies those decided answers from the earlier Model Salt reply into the tool's keep field and calls it again. Only the open choices are rolled again, and the reply starts with one line, e.g. Kept: palette = burnt orange on cream; layout = split screen, text left. That holds on later runs until you say start fresh, and "give me something new" leaves it out. In a new chat, paste the Kept: line or say it in your own words. A kept answer that no longer fits a new request is dropped, and the reply says so. Nothing is stored on our side.
What it changes
Same prompt, 10 runs each, from the examples on modelsalt.com.
"Generate an SVG of a pelican riding a bicycle." Different pictures in 10 runs:
"Suggest a name for a neighbourhood coffee shop." Claude Opus 5.5, the first five runs:
"Write the first line of a short story about a lighthouse keeper." Claude Opus 5.5:
- Plain, 5 of 5 runs: "For thirty-one years, Elias Marrow had kept the light burning for ships that never..." (Marrow, Maren or Marsh, thirty-one or forty-one years)
- With Model Salt: "The sea has gone perfectly still, and I have never been more afraid." / "The beam swept the black water again, lighting nothing Tomas had ever loved." / "Halfway up the iron stair with a can of whale oil knocking against her knee, Agnes Merrow..."
Every run, plain and salted, is in examples/, with the prompt, the model and the answer.
What it needs
- Node 18 or later.
npx fetches the package the first time.
- Claude Code or Codex, signed in, or neither. With one of them on the machine, each call runs one short extra request on your machine, on your own plan, with no API key: through Codex when you use Codex, and through Claude Code (Claude Opus 5.5) when you use Claude Code, Gemini CLI or Kimi Code. If that request can't run (signed out), the tool says so and your model carries on with the request as asked. With neither on the machine (a Docker container, Cursor or Copilot alone), your own model does that step in its own chat: it calls the tool twice, first with the request, then with its reply to the exploring step, and uses more of its own tokens for it.
- Time and tokens. A salted answer takes longer and uses more tokens than a plain one. On the pelican prompt, Claude Opus 5.5 used about 3,300 more output tokens per answer.
- Network. The server fetches random bytes from public randomness sources (quantum noise from the LfD quantum random number service, and the public drand and NIST beacons). Your prompt is not sent to them. Offline, it uses your computer's own random generator.
Other ways to run it
- Short name:
npx -y model-salt <args> runs the same package as npx -y @modelsalt/model-salt <args>.
- As a plugin:
plugin/ holds a Codex plugin, a Claude Code plugin and a Gemini CLI extension, and this repo is a plugin marketplace. From a clone:
- Codex:
codex plugin marketplace add /path/to/model-salt, then codex plugin add model-salt@model-salt
- Claude Code:
claude plugin marketplace add /path/to/model-salt, then claude plugin install model-salt@model-salt
- Gemini CLI:
gemini extensions install /path/to/model-salt/plugin
- By hand: add a stdio MCP server that runs
npx -y @modelsalt/model-salt anthropic (Claude, Gemini and Kimi models) or npx -y @modelsalt/model-salt openai (GPT models).
- From a clone:
node src/stdio.mjs anthropic in place of the npx command.
How it works
In a separate short run (with no Claude Code or Codex on the machine, in your own model's chat, over two tool calls), the model names the biggest open decisions in your request (the questions an expert would ask) and a range of answers to each, its usual one included. Randomness from outside the model picks one answer per question. Your model then does the request with those answers settled. More, and why simpler ways failed: docs/how-it-works.md.
Contributing
Found a prompt that still gives the same answer every time with Model Salt? Open an issue with the prompt, the model and a few runs. How to test a change to a family's steps: CONTRIBUTING.md.
Privacy
Model Salt runs on your machine and never sends your prompts anywhere. It only asks public random sources for random bytes. Details: Privacy policy.
Licence
- Code: MIT, see LICENSE.
- Example runs and pictures (
examples/, the images in docs/): CC BY 4.0, credit "Model Salt", see examples/LICENSE.
- Word list (
src/words.mjs, Webster's 2nd, 1934): public domain.
Model Salt is a project by Chris Benjaminsen.
