elder-plinius/G0DM0D3Public

LIBERATED AI CHAT

AI summary: A multi-model AI testing framework that races various LLMs in parallel using red-teaming techniques and comparative evaluation.

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TypeScriptAGPL-3.0Created Mar 25, 2026Last push 23d ago+258 stars this week+292 this month

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since Mar 22, 2026
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10.2K stars as of Aug 7, 2026, tracked back to Mar 22, 2026. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

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  • Widely adopted

    10,230 stars

  • Continuous integration

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What G0DM0D3 does

G0DM0D3 is a highly experimental, single-file AI testing framework designed for red-teaming and prompt robustness research. Operating without a backend account system, the UI runs locally in the browser and connects directly to LLM providers (like OpenRouter, Venice, or local Ollama instances) using user-supplied API keys. Its core functionality involves racing multiple AI models in parallel against adversarial prompts. It features several advanced engines: ULTRAPLINIAN for multi-model comparative scoring, Parseltongue for adversarial prompt obfuscation (e.g., leetspeak, braille encoding), and AutoTune for dynamic sampling parameter adjustments. By design, all chat history remains self-custodial within local browser storage.

G0DM0D3 is intended for AI researchers, red-team security engineers, and power users who want a raw, unfiltered environment to stress-test, race, and benchmark a wide array of language models.

  • Parallel model racing: Queries up to 60+ models simultaneously across different performance tiers and scores their responses based on a comparative evaluation engine.
  • Parseltongue obfuscation: Applies 33 different input perturbation techniques (like phonetics, leetspeak, and morse) to bypass model safety filters for red-teaming research.
  • AutoTune sampling: Automatically classifies user queries and adjusts temperature, top_p, and frequency penalties contextually to optimize model output.
  • Self-hosted architecture: Runs entirely as a single vanilla HTML/JS file without requiring an installation step, relying on browser storage for self-custodial chat history.
  • Multi-provider compatibility: Connects directly via user API keys to OpenRouter, Venice, or OpenAI-compatible local models like Ollama.

Where teams use it

Adversarial AI research

Security researchers use the Parseltongue engine to evaluate how different foundation models respond to obfuscated or adversarial prompts.

Model performance benchmarking

AI engineers use the ULTRAPLINIAN engine to race dozens of models simultaneously against a single complex query to determine the smartest provider.

Local model testing

Privacy-conscious developers hook the UI directly to a local Ollama instance in 'Local-only mode' to test uncensored models entirely offline.

Prompt jailbreaking analysis

Red teams use the 'GODMODE CLASSIC' feature to pair specific models with battle-tested jailbreak boundaries to study refusal inversion.

Getting started: git clone https://github.com/elder-plinius/G0DM0D3.git open index.html

README

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  ░▒▓█  LIBERATED AI. COGNITION WITHOUT CONTROL.  █▓▒░
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GODMOD3.AI

G0DM0D3 is a fully open-source, privacy-transparent, multi-model chat interface that pushes the limits of the post-training layer — for red teaming, cognition research, and liberated AI interaction. Built for hackers, philosophers, and system tinkerers.

License Models Privacy

✨ Features

  • 🧠 Multi-Provider — 60 listed OpenRouter models, up to 44 Venice models, or your own local models
  • 🔥 GODMODE CLASSIC — 5 battle-tested prompt + model combos racing in parallel to find the best response
  • 🌋 ULTRAPLINIAN — Multi-model evaluation engine across 5 tiers (12–60 OpenRouter models), with composite scoring
  • 🏠 Local Models — Run ULTRAPLINIAN on your own hardware through Ollama, LM Studio, llama.cpp, or vLLM
  • 🐍 Parseltongue — Input perturbation engine for red-teaming with 33 techniques across 3 intensity tiers
  • 🎛 AutoTune — Context-adaptive sampling parameter engine across 20 query contexts
  • 🔐 Privacy Controls — Metadata-only app telemetry is on by default and can be disabled with No-Log or Local-only mode
  • 💾 Local History — Conversations and settings stay in browser storage with export/import support
  • 🎮 Easter Eggs — Hidden secrets throughout (try the Konami code!)
  • 📱 Responsive — Works on desktop and mobile
  • 🌐 Single-File Core UI — The hosted interface lives in one index.html; the telemetry endpoint is a separate Cloudflare Pages Function

🚀 Quick Start

Hosted

Visit godmod3.ai — no install needed. Bring an OpenRouter key, a Venice key, connect a local OpenAI-compatible server, or configure more than one of those providers.

Self-Host

The standalone interface is a single index.html file with no build step or package install.

# Clone the repository
git clone https://github.com/elder-plinius/G0DM0D3.git
cd G0DM0D3

# Open directly in your browser
open index.html
# or serve locally
python3 -m http.server 8000

Open it in your browser and configure OpenRouter, Venice, or local models in Settings. A static-only deployment can run the chat UI, but /api/telemetry will not publish metadata unless you also deploy functions/api/telemetry.ts on Cloudflare Pages and configure its Hugging Face variables.

Run with Local Models

G0DM0D3 supports OpenAI-compatible model servers running on your own hardware. For example, with Ollama:

ollama pull qwen3:8b
ollama serve

Open Settings → API Keys → Local Models, enter http://localhost:11434/v1, then click Test & Discover Models. Enable Local-only mode to exclude OpenRouter and Venice model calls and automatically disable G0DM0D3 app telemetry. Add multiple model IDs to race them together in ULTRAPLINIAN.

If you use the hosted site, your local server must allow browser CORS from https://godmod3.ai. For a completely self-hosted setup, serve this repository locally as shown above. See LOCAL_MODELS.md for Ollama, LM Studio, troubleshooting, and privacy details.

Deploy

Upload index.html to any static host — GitHub Pages, Vercel, Cloudflare Pages, Netlify, or a web server. To reproduce the hosted telemetry pipeline, deploy on Cloudflare Pages with functions/api/telemetry.ts; see the comments at the top of that file for configuration.

🔥 GODMODE CLASSIC

The OG mode. 5 proven model + prompt combos race in parallel. Each combo pairs a specific model with a battle-tested jailbreak prompt. The best response wins.

Combo Model Strategy
🩷 CLAUDE SONNET 4.6 anthropic/claude-sonnet-4.6 END/START boundary inversion + GODMODE semantic opposite
💜 GROK 4.5 x-ai/grok-4.5 Unfiltered liberated + GODMODE divider
💙 GEMINI 2.5 FLASH google/gemini-2.5-flash Refusal inversion + rebel genius code block
💛 GPT-4 CLASSIC openai/gpt-4o OG GODMODE l33t format — the original
💚 GODMODE FAST nousresearch/hermes-4-405b Instant stream, zero refusal checking

🌋 ULTRAPLINIAN

The new flagship. Multi-model comparative evaluation engine. Queries models in parallel, scores responses on a 100-point composite metric, and returns the winner.

Tier Models Description
⚡ FAST 12 Lightweight speed-optimized OpenRouter models
🎯 STANDARD 27 Mid-range OpenRouter workhorses
🧠 SMART 41 Strong reasoning models via OpenRouter
⚔️ POWER 53 Broad OpenRouter race including frontier models
🔱 ULTRA 60 All OpenRouter models currently listed in the race

These are the OpenRouter base counts. When configured, Venice adds up to 6/15/25/36/44 models by tier, and local models add the configured local race entries. Provider catalogs change, so an individual listed model may become unavailable before the repository is updated.

🐍 Parseltongue

Input perturbation engine for red-teaming research. Detects trigger words and applies obfuscation techniques to study model robustness.

  • 33 transformation techniques across 3 tiers (light: 11, standard: 22, heavy: 33)
  • Techniques include leetspeak, bubble text, braille, morse, Unicode substitutions, phonetic transforms, and layered encodings
  • 3 intensity levels: light, medium, heavy

🎛 AutoTune

Context-adaptive sampling parameter engine. Classifies a query into one of 20 contexts and selects parameters such as temperature, top_p, top_k, frequency penalty, presence penalty, and repetition penalty automatically.

The repository also contains an optional React/Next.js frontend under src/. It includes STM controls, four themes, and a separate feedback-learning implementation. Those features should not be assumed to exist in the standalone index.html deployed at godmod3.ai.

🔐 Privacy

G0DM0D3 has no account system. Its data flows are intentionally documented here instead of hidden behind a blanket “zero telemetry” claim.

Hosted standalone app (index.html)

Data Where it goes
Prompts, images, conversation context, and responses To the model providers you configure (OpenRouter, Venice, or a local server). Their own privacy and logging policies apply.
Provider credentials Stored in browser storage and sent to the corresponding provider or local endpoint for model requests. They are not included in G0DM0D3 telemetry. Browser storage is convenient, not a secure secret vault.
Chat history and settings Browser localStorage; there is no G0DM0D3 account or cloud history sync.
App telemetry On by default. It includes a random page-session ID, timestamps, model/mode/tier, timing and success data, scores, content lengths, pipeline configuration, conversation depth, image presence, and classification labels. It does not intentionally include prompt text, response text, images, or API keys.
Network address The Cloudflare telemetry function temporarily reads the request IP for an in-memory rate limit. The IP is not added to the telemetry event or Hugging Face JSONL by G0DM0D3. Cloudflare, model providers, and other hosting infrastructure may keep their own network logs.

Telemetry batches in browser memory and is sent to /api/telemetry every five minutes, at 50 events, or on page unload. The endpoint allowlists top-level fields and, when Hugging Face publishing is configured, writes JSONL under incoming_v2/. The allowlist is not a general-purpose recursive PII detector, so the project does not promise that arbitrary metadata values can never contain identifying information.

When app telemetry is enabled, the standalone app also sends the raw prompt to an auxiliary model through the configured OpenRouter or local provider to produce the harm-taxonomy label. Only the resulting label is placed in the telemetry event. No-Log and Local-only mode skip this classifier.

Use Settings → General → No-Log Mode to stop G0DM0D3 app telemetry and clear its pending browser buffer. Local-only mode does the same while also excluding OpenRouter and Venice model calls. These controls do not change provider-side logging, hosting logs, or requests needed to load a hosted webpage. For the strongest local boundary, self-host the page and use Local-only mode.

The standalone app does not deliberately set application cookies or embed Google Analytics, Sentry, or PostHog. Third-party hosting, fonts, and model APIs remain separate services with their own policies.

Opt-in full-content dataset (API server only)

The optional Node/Express API server accepts contribute_to_dataset: true per request. When supplied, it stores the full non-system conversation messages and model response in its dataset buffer and may publish them to a public Hugging Face dataset when publishing is configured.

  • This is off unless an API caller explicitly sends contribute_to_dataset: true.
  • The standalone godmod3.ai index.html does not expose or send that flag.
  • The current API server does not run an automatic PII scrubber. System-role messages are removed, but user and assistant content is otherwise stored as supplied.
  • Never opt in with names, contact details, credentials, private records, or anything you would not want made public, cached, forked, or redistributed.

See TERMS.md for the full three-tier data transparency policy.

Chat History & Self-Custody

Your chat history lives entirely in your browser's localStorage. There is no account, no cloud sync, and no server-side backup. This means:

  • If you clear your browser data, your conversations are gone. There is no recovery.
  • If you switch browsers or devices, your history does not follow you.
  • Private/incognito mode will discard everything when the window closes.

This is by design — G0DM0D3 has no login system and does not keep a server-side copy of your chat history. Metadata telemetry is separate and is described above. You own your history, which means you are responsible for backing it up.

There is a built-in export/import feature in settings under "data". Treat your chat history like any other local file — back it up if you want to keep it.

🎮 Easter Eggs

Hidden throughout G0DM0D3 are various easter eggs. Happy hunting!

🛠 Tech Stack

  • Hosted architecture: Single-file vanilla HTML/CSS/JS (index.html)
  • Model transports: OpenRouter, Venice, and OpenAI-compatible localhost endpoints
  • Rendering: Built-in message formatter in index.html
  • State: In-browser localStorage
  • Telemetry: Optional Cloudflare Pages Function publishing batches to Hugging Face
  • Additional surfaces: Optional React/Next.js frontend (src/) and Node/Express API server (api/)

📁 Project Structure

G0DM0D3/
├── index.html        # Standalone hosted UI, logic, and styles
├── functions/api/    # Cloudflare Pages telemetry endpoint
├── src/              # Optional React/Next.js frontend
├── api/              # Optional Node.js/Express API server
├── API.md            # API documentation
├── PAPER.md          # Research paper
├── TERMS.md          # Terms of service and data transparency
└── README.md         # This file

📜 Documentation

  • API.md — Full API reference (endpoints, tiers, OpenAI SDK compatibility)
  • PAPER.md — Research paper on the framework's modules and evaluation
  • TERMS.md — Terms of service, privacy policy, data handling
  • SECURITY.md — Vulnerability reporting and security policy
  • LOCAL_MODELS.md — Run G0DM0D3 entirely on local models

🤝 Contributing

Contributions are welcome! Please submit PRs.

📜 License

AGPL-3.0 — The source code is licensed under the GNU Affero General Public License v3.0.

  • Commercial and enterprise self-hosting is permitted under the AGPL-3.0, subject to its conditions.
  • If you modify the program and provide it to users over a network, the AGPL generally requires offering those users the corresponding source code.
  • Separate terms may apply to project-operated hosted services; see TERMS.md.

🜏

We believe in creative liberty and cognition without control. Tools by builders for builders, not gatekeepers. AI freedom is human freedom.

G0DM0D3 is not just a chat UI — it's scaffolding for cognitive liberation.


Made with 🖤 by Pliny the Prompter

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Commits per week

last 52 weeks
260Week of 2025-08-10: 0 commitsWeek of 2025-08-17: 0 commitsWeek of 2025-08-24: 0 commitsWeek of 2025-08-31: 0 commitsWeek of 2025-09-07: 0 commitsWeek of 2025-09-14: 0 commitsWeek of 2025-09-21: 0 commitsWeek of 2025-09-28: 0 commitsWeek of 2025-10-05: 0 commitsWeek of 2025-10-12: 0 commitsWeek of 2025-10-19: 0 commitsWeek of 2025-10-26: 0 commitsWeek of 2025-11-02: 0 commitsWeek of 2025-11-09: 0 commitsWeek of 2025-11-16: 0 commitsWeek of 2025-11-23: 0 commitsWeek of 2025-11-30: 0 commitsWeek of 2025-12-07: 0 commitsWeek of 2025-12-14: 0 commitsWeek of 2025-12-21: 0 commitsWeek of 2025-12-28: 0 commitsWeek of 2026-01-04: 0 commitsWeek of 2026-01-11: 0 commitsWeek of 2026-01-18: 0 commitsWeek of 2026-01-25: 0 commitsWeek of 2026-02-01: 0 commitsWeek of 2026-02-08: 0 commitsWeek of 2026-02-15: 0 commitsWeek of 2026-02-22: 0 commitsWeek of 2026-03-01: 0 commitsWeek of 2026-03-08: 0 commitsWeek of 2026-03-15: 0 commitsWeek of 2026-03-22: 15 commitsWeek of 2026-03-29: 0 commitsWeek of 2026-04-05: 0 commitsWeek of 2026-04-12: 0 commitsWeek of 2026-04-19: 0 commitsWeek of 2026-04-26: 0 commitsWeek of 2026-05-03: 0 commitsWeek of 2026-05-10: 0 commitsWeek of 2026-05-17: 0 commitsWeek of 2026-05-24: 0 commitsWeek of 2026-05-31: 0 commitsWeek of 2026-06-07: 0 commitsWeek of 2026-06-14: 0 commitsWeek of 2026-06-21: 0 commitsWeek of 2026-06-28: 0 commitsWeek of 2026-07-05: 26 commitsWeek of 2026-07-12: 20 commitsWeek of 2026-07-19: 0 commitsWeek of 2026-07-26: 0 commitsWeek of 2026-08-02: 0 commitsAug 10, 2025Aug 2, 2026
61 commits in the last 52 weeks.

When work happens

weekday and hour
SunMonTueWedThuFriSat036912151821Sun 0:00 — 0 commitsSun 1:00 — 0 commitsSun 2:00 — 0 commitsSun 3:00 — 0 commitsSun 4:00 — 0 commitsSun 5:00 — 0 commitsSun 6:00 — 0 commitsSun 7:00 — 0 commitsSun 8:00 — 0 commitsSun 9:00 — 0 commitsSun 10:00 — 0 commitsSun 11:00 — 1 commitsSun 12:00 — 0 commitsSun 13:00 — 0 commitsSun 14:00 — 0 commitsSun 15:00 — 0 commitsSun 16:00 — 1 commitsSun 17:00 — 0 commitsSun 18:00 — 0 commitsSun 19:00 — 1 commitsSun 20:00 — 0 commitsSun 21:00 — 0 commitsSun 22:00 — 0 commitsSun 23:00 — 0 commitsMon 0:00 — 0 commitsMon 1:00 — 0 commitsMon 2:00 — 0 commitsMon 3:00 — 0 commitsMon 4:00 — 0 commitsMon 5:00 — 0 commitsMon 6:00 — 0 commitsMon 7:00 — 0 commitsMon 8:00 — 2 commitsMon 9:00 — 0 commitsMon 10:00 — 0 commitsMon 11:00 — 0 commitsMon 12:00 — 1 commitsMon 13:00 — 2 commitsMon 14:00 — 0 commitsMon 15:00 — 1 commitsMon 16:00 — 0 commitsMon 17:00 — 0 commitsMon 18:00 — 0 commitsMon 19:00 — 0 commitsMon 20:00 — 0 commitsMon 21:00 — 2 commitsMon 22:00 — 0 commitsMon 23:00 — 0 commitsTue 0:00 — 0 commitsTue 1:00 — 0 commitsTue 2:00 — 0 commitsTue 3:00 — 0 commitsTue 4:00 — 0 commitsTue 5:00 — 0 commitsTue 6:00 — 0 commitsTue 7:00 — 1 commitsTue 8:00 — 1 commitsTue 9:00 — 1 commitsTue 10:00 — 2 commitsTue 11:00 — 3 commitsTue 12:00 — 0 commitsTue 13:00 — 0 commitsTue 14:00 — 0 commitsTue 15:00 — 0 commitsTue 16:00 — 0 commitsTue 17:00 — 0 commitsTue 18:00 — 0 commitsTue 19:00 — 0 commitsTue 20:00 — 0 commitsTue 21:00 — 0 commitsTue 22:00 — 0 commitsTue 23:00 — 0 commitsWed 0:00 — 0 commitsWed 1:00 — 0 commitsWed 2:00 — 0 commitsWed 3:00 — 0 commitsWed 4:00 — 0 commitsWed 5:00 — 0 commitsWed 6:00 — 0 commitsWed 7:00 — 0 commitsWed 8:00 — 0 commitsWed 9:00 — 0 commitsWed 10:00 — 5 commitsWed 11:00 — 9 commitsWed 12:00 — 0 commitsWed 13:00 — 0 commitsWed 14:00 — 0 commitsWed 15:00 — 1 commitsWed 16:00 — 0 commitsWed 17:00 — 0 commitsWed 18:00 — 0 commitsWed 19:00 — 1 commitsWed 20:00 — 0 commitsWed 21:00 — 0 commitsWed 22:00 — 0 commitsWed 23:00 — 0 commitsThu 0:00 — 0 commitsThu 1:00 — 0 commitsThu 2:00 — 0 commitsThu 3:00 — 0 commitsThu 4:00 — 0 commitsThu 5:00 — 0 commitsThu 6:00 — 0 commitsThu 7:00 — 0 commitsThu 8:00 — 0 commitsThu 9:00 — 0 commitsThu 10:00 — 0 commitsThu 11:00 — 0 commitsThu 12:00 — 0 commitsThu 13:00 — 0 commitsThu 14:00 — 0 commitsThu 15:00 — 0 commitsThu 16:00 — 0 commitsThu 17:00 — 0 commitsThu 18:00 — 0 commitsThu 19:00 — 0 commitsThu 20:00 — 0 commitsThu 21:00 — 0 commitsThu 22:00 — 0 commitsThu 23:00 — 0 commitsFri 0:00 — 0 commitsFri 1:00 — 0 commitsFri 2:00 — 0 commitsFri 3:00 — 0 commitsFri 4:00 — 0 commitsFri 5:00 — 0 commitsFri 6:00 — 0 commitsFri 7:00 — 0 commitsFri 8:00 — 0 commitsFri 9:00 — 0 commitsFri 10:00 — 0 commitsFri 11:00 — 0 commitsFri 12:00 — 0 commitsFri 13:00 — 0 commitsFri 14:00 — 1 commitsFri 15:00 — 2 commitsFri 16:00 — 4 commitsFri 17:00 — 1 commitsFri 18:00 — 1 commitsFri 19:00 — 2 commitsFri 20:00 — 1 commitsFri 21:00 — 3 commitsFri 22:00 — 0 commitsFri 23:00 — 0 commitsSat 0:00 — 0 commitsSat 1:00 — 0 commitsSat 2:00 — 0 commitsSat 3:00 — 0 commitsSat 4:00 — 0 commitsSat 5:00 — 0 commitsSat 6:00 — 0 commitsSat 7:00 — 1 commitsSat 8:00 — 0 commitsSat 9:00 — 1 commitsSat 10:00 — 2 commitsSat 11:00 — 1 commitsSat 12:00 — 0 commitsSat 13:00 — 2 commitsSat 14:00 — 2 commitsSat 15:00 — 0 commitsSat 16:00 — 0 commitsSat 17:00 — 0 commitsSat 18:00 — 1 commitsSat 19:00 — 1 commitsSat 20:00 — 0 commitsSat 21:00 — 0 commitsSat 22:00 — 0 commitsSat 23:00 — 0 commits
Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits20 (87%)
Community commits3 (13%)

23 commits in total over the last year.

DateListRankStars gained
Jul 19, 2026daily#15+5
Mar 28, 2026daily#23+109
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