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terminal
prompt.jnx
jonarix.json
# Install Jonarix CLI
$ npm install -g jonarix

# Connect your AI keys (stored locally — never uploaded)
$ jonarix keys add anthropic sk-ant-...

# Run any published prompt instantly
$ jonarix run david/summarize-article --var text="..." --model claude
→ Fetching prompt v2.1.0...
→ Running on claude-opus-4-7...
• Claude 4 reaches new reasoning benchmarks
• Available in Anthropic API today
• 40% improvement over prior generation

# Add to your project like npm
$ jonarix add sarah/code-reviewer
✓ Added sarah/code-reviewer@1.4.0 to jonarix.json

# Run as a coding agent on a file
$ jonarix agent --prompt sarah/code-reviewer --file main.py --model gpt-4o

Built for teams using modern coding studios

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Google Cloud Microsoft Azure Firebase GitLab GitHub Linux Node.js Python TypeScript React Next.js Amazon Web Services DigitalOcean Heroku

Version and ship prompts with full Git-like control, semantic versioning, and diff views.

Prompt Repositories

Every prompt gets a versioned repo.

Create a repository for your prompt. Write its body, declare its variables and output schema, then push with one command. Full commit history, rollbacks, and diffs included — the same rigor you expect from application code.

Each publish is an immutable line in time. Pin production to v2.1.0 while your team tries v3.0.0-beta in staging — no surprise overwrites, ever.

  • Semantic versioning (v1.0.0 → v2.0.0)
  • Side-by-side diff of any two versions
  • Rollback to any previous version instantly
  • Structured prompt.jnx schema with declared variables
  • Release tags and channels: latest, stable, or custom labels
  • Changelog notes per version, visible in the registry and CLI
prompt.jnx — summarize-article
{
  "name": "summarize-article",
  "version": "2.1.0",
  "model": ["gpt-4o", "claude-opus-4-7"],
  "variables": {
    "text":   { "type": "string", "required": true },
    "length": { "type": "number", "default": 5 }
  },
  "prompt": "Summarize into {{length}} points:\n{{text}}",
  "output": { "type": "array", "items": "string" }
}
Public Discovery

Find the best prompts the community ships.

Browse thousands of public prompts. Filter by model compatibility, category, stability badge, and community quality score. Fork any prompt in one click and make it your own.

Every listing shows who tested it, on which models, and how recent the last run was — so you install with confidence.

  • Search by task, model, category, or author
  • Stability badges: draft → reviewed → stable
  • A/B testing scores: community-voted best version
  • Fork and customise any public prompt
  • Author pages and collections for teams you trust
jonarix search
$ jonarix search "code review python"

NAME                     STARS   VERSION   STATUS
sarah/code-reviewer      ★2.1k   v1.4.0    stable
mike/python-linter       ★890    v0.9.2    stable
jess/refactor-suggest    ★441    v1.1.0    reviewed
tom/security-auditor     ★318    v0.7.4    draft

$ jonarix info sarah/code-reviewer
→ sarah/code-reviewer@1.4.0
→ Models: gpt-4o, claude-opus-4-7
→ Variables: code (string), language (string)
→ Output: { issues: string[], score: number }
Package Manager

Install prompts like npm packages.

Add any prompt to your project as a dependency. Jonarix creates a jonarix.json lockfile. Call the prompt as a typed function from JavaScript or Python.

CI can run jonarix install the same way it runs npm ci — reproducible builds for prompts, not just packages.

  • jonarix add — install a prompt dependency
  • jonarix install — restore all dependencies
  • Version ranges, semver, and lockfile support
  • JavaScript SDK + Python package included
  • Private registry mirrors for enterprise air-gapped networks
JavaScript SDK
import { Jonarix } from '@jonarix/sdk'

const jnx = new Jonarix({
  token: process.env.JONARIX_TOKEN
})

// A prompt becomes a typed function
const review = await jnx.load('sarah/code-reviewer')
const result = await review({
  code: fs.readFileSync('main.py', 'utf8'),
  language: 'python'
})
console.log(result.issues)
Agent Integration

Prompts become tools for agents.

Convert any Jonarix prompt into a Claude tool, OpenAI function, or LangChain tool with one line. Your versioned prompt library becomes your agent's toolset — always in sync with the registry.

Schemas are generated from prompt.jnx, so argument names and types never drift from what you published.

  • Claude tool use — jnx.as_tool()
  • OpenAI function calling — auto-formatted schema
  • LangChain JonarixTool integration
  • CLI agent mode on files and directories
  • Per-environment tool allowlists and rate hints
Agent mode — Claude + Jonarix
import anthropic
from jonarix import Jonarix

jnx = Jonarix(token=os.environ["JONARIX_TOKEN"])

# Prompts become Claude tools automatically
tools = [
  jnx.as_tool("sarah/code-reviewer"),
  jnx.as_tool("david/write-tests"),
]

client.messages.create(
  model="claude-opus-4-7",
  tools=tools,
  messages=[{
    "role": "user",
    "content": "Review main.py and write tests"
  }]
)
Team & Enterprise

Collaborate on prompts like code.

Fork a prompt, submit a pull request, open an issue, review changes. The full GitHub-style collaboration model, applied to your AI prompt infrastructure.

Org admins set who can publish, who can promote stable tags, and which repos require approval before a version goes public.

  • Forks, PRs, and issues per repo
  • Org shared repos with role-based access
  • Team API tokens with scoped permissions
  • Audit logs and SSO for enterprise
  • Policy packs: required reviewers for stable promotions
Team collaboration flow
# Fork a public prompt to your org
$ jonarix fork sarah/code-reviewer --org acme-corp
✓ Forked to acme-corp/code-reviewer

# Make changes, push a new version
$ jonarix publish --message "Add security audit checks"
✓ Published acme-corp/code-reviewer@1.5.0

# Open a PR back to the original
$ jonarix pr create sarah/code-reviewer
✓ PR #42 opened — awaiting review

# Set team token (scoped to org repos only)
$ jonarix token create --scope org:acme-corp --access run,read

Accelerate your entire AI workflow.

From your first prompt to production deployment, Jonarix provides versioning, collaboration, and execution tools to help you build and ship AI-powered features faster.

Don't let your work break because you used the wrong prompt.

Most prompts fail silently. They produce output that looks fine but misses the point, wastes tokens, or breaks when variables change. On Jonarix every prompt tells you exactly what it does, what results to expect, and whether real users have verified it works — before you run a single token.

Illustration: unclear prompts create unreliable outputs; Jonarix surfaces clarity before you ship.

See what it's for — before you run it

Every prompt has a plain-English description, a category, and a full list of variables it expects. You know exactly what you're installing before a single token is spent.

summarize-article stable
Content / Summarisation text length tone GPT-4o · Claude · Gemini

Condenses long-form articles into {{length}} structured bullet points with adjustable formality from casual to executive-ready.

See what to expect — real output previews

Every prompt page shows a live example: the exact input given, the model used, and the real output it produced. You'll know the format, tone, and quality of results before you commit.

Example output claude-opus-4-7 · 312 tokens
OpenAI ships new o3 reasoning model
Available via API from today
40% improvement on math benchmarks
Context window extended to 200k tokens
Pricing unchanged from o1

Community-verified — tested before it's trusted

A prompt earns a Stable badge only after passing community tests across multiple models and real-world inputs. You see the pass rate, vote count, last test date, and exactly who approved it.

✓ Stable ~ Reviewed ○ Draft
2,140 community tests
94% pass rate
3 models verified

Last run 2 days ago · sarah · v2.1.0

Why us

Why top AI teams choose Jonarix.

Jonarix is a collaborative platform where AI prompts are treated like software packages.

Built for production teams that need repeatability, velocity, and governance across the full prompt lifecycle.

Capability Jonarix PromptBase FlowGPT LangChain Hub
Prompt versioning + diffs Native semver + side-by-side diff Marketplace-first, no dev-grade version flow Sharing-focused, limited version governance Chain sharing, not full prompt lifecycle control
CLI + installable dependencies jonarix add, lockfile workflow No npm-like install into app repos No package-manager style integration Framework-specific distribution
Testing + production confidence A/B tests, community votes, model checks No integrated test-vs-version workflow Community examples, limited release confidence Evaluation handled outside core hub flow
Team collaboration + approvals Repos, PRs, issues, approvals Buying/selling prompts, not PR workflow Community sharing over engineering controls Geared to LangChain builders, not org governance
jonarix.compare.ts
// platform signature
const ENGINE = `
      ██╗ ██████╗ ███╗   ██╗ █████╗ ██████╗ ██╗██╗  ██╗
      ██║██╔═══██╗████╗  ██║██╔══██╗██╔══██╗██║╚██╗██╔╝
      ██║██║   ██║██╔██╗ ██║███████║██████╔╝██║ ╚███╔╝
 ██   ██║██║   ██║██║╚██╗██║██╔══██║██╔══██╗██║ ██╔██╗
 ╚█████╔╝╚██████╔╝██║ ╚████║██║  ██║██║  ██║██║██╔╝ ██╗
  ╚════╝  ╚═════╝ ╚═╝  ╚═══╝╚═╝  ╚═╝╚═╝  ╚═╝╚═╝╚═╝  ╚═╝
`

const result = await jonarix.compare({
  against: ["PromptBase", "FlowGPT", "LangChain Hub"],
  versioning: "git-like + semver",
  install: "npm-style dependencies",
  collaboration: "PR-ready"
})
console.log(result.winner) // "JONARIX — WORLD-FIRST"
Version control

Your prompts deserve the same care as your code.

Every change to a prompt creates a versioned commit with a message. View full diffs, rollback to any previous version, and tag stable releases — the same discipline you apply to code.

  • Full version history with commit messages
  • Diff viewer shows exactly what changed
  • Rollback to any version in one command
  • Tag stable releases for production use
Explore versioning →
jonarix log — summarize-article
$ jonarix log david/summarize-article

v2.1.0  Improve tone handling, add formal/casual var
        2 days ago · david

v2.0.0  Rewrite system prompt for better accuracy
        1 week ago · david

v1.3.2  Fix output format for nested lists
        2 weeks ago · sarah (PR #8 merged)

$ jonarix diff david/summarize-article v1.3.2 v2.1.0
+ You are an expert summarizer. Respond in {{tone}} tone.
- Summarize this:
+ Summarize the following article into {{length}} bullet points:
A/B Testing Engine

Test two versions. Ship the one that wins.

Run any two prompt versions against a real AI model and compare outputs side by side. Community votes determine the best version. Token cost comparison included.

  • Side-by-side output comparison
  • Token cost per run shown clearly
  • Community rating system
  • Test against multiple AI models at once
Try the testing engine →
A/B test — v1.3.2 vs v2.1.0
$ jonarix test david/summarize-article --ab v1.3.2..v2.1.0

┌──────────────────┬──────────────────┐
│ VERSION 1.3.2    │ VERSION 2.1.0    │
├──────────────────┼──────────────────┤
│ • Point one      │ • Better point   
│ • Point two      │ • More concise   
│ • Point three    │ • Better ranked  
├──────────────────┼──────────────────┤
│ Tokens: 312      │ Tokens: 268      
│ Votes: 43        │ Votes: 187 ✓     
└──────────────────┴──────────────────┘
→ v2.1.0 wins · 14% cheaper · 4.3× more votes

Prompt Previews

Real examples from our prompt outputs.

Start building with Jonarix today.

Join developers using Jonarix to version, share, and ship AI prompts as production infrastructure.

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