🐾 WARDOGS Companion Suite — Field Manual & Documentation
The tactical sandbox toolkit for solo operatives. Train smarter, not harder.
Welcome to the WARDOGS Companion Suite, a completely reimagined take on the single-player training experience for WARDOGS. This repository houses the documentation, feature roadmap, troubleshooting playbook, and community knowledge base for a memory-resident assistance layer designed for offline practice sessions, private lobbies, and personal skill development.
If you have ever wanted to rehearse a flawless infiltration without burning thirty attempts, or simply explore every corner of a map with the freedom of a ghost, this project exists for exactly that purpose. Think of it as a flight simulator for an operative: the same airframe, the same avionics, but no consequences when you clip a wing.
📖 Table of Contents
- What This Project Is
- Design Philosophy
- Feature Matrix
- Supported Environments
- Interface Walkthrough
- Operational Modes Explained
- Multilingual & Accessibility Support
- Performance & Footprint
- Roadmap 2026
- Frequently Asked Questions
- Community Guidelines
- Troubleshooting Playbook
- Contributing
- Disclaimer
- License
🧭 What This Project Is
The WARDOGS Companion Suite is a memory-only augmentation layer built for the single-player and private-practice side of WARDOGS. It does not touch save files, it does not rewrite archives, and it does not persist anything to disk beyond a small configuration profile. Everything lives in RAM, evaporates the moment you close the process, and leaves zero forensic footprint behind.
Picture a chalk outline on a sidewalk: useful while the rain holds off, gone the second the weather turns. That is the entire operating model here.
The suite is aimed at:
- Solo learners who want to practice movement tech without dying every ninety seconds.
- Content creators who need clean footage of advanced routes without restarting constantly.
- Modders and tinkerers curious about how memory-resident augmentation can be structured responsibly.
- Accessibility-focused players who benefit from adjustable difficulty curves in their own private sessions.
⚠️ Important: This project is intended exclusively for single-player and private training scenarios. It is not designed, endorsed, or supported for competitive multiplayer environments of any kind.
🎯 Design Philosophy
Three principles guide every decision in this repository:
- Ephemeral by default. Nothing survives the session. No save corruption, no cloud sync conflicts, no "oops I overwrote my campaign" moments.
- Read, adjust, restore. The suite observes memory values, applies transient modifications, and restores originals when toggled off. Clean hands, clean exit.
- Respect the sandbox. Every feature is scoped to offline contexts. The suite refuses to attach to networked sessions by design.
We believe training tools should feel like training wheels on a bicycle — obvious, removable, and never part of the final ride.
🧩 Feature Matrix
The suite ships with a curated set of toggles, each designed to remove friction from your practice loop.
| Capability | What It Does | Typical Use Case |
|---|---|---|
| 🛡️ Fortified Stance | Keeps your operative upright through sustained fire in private drills | Practicing aggressive pushes without instant respawns |
| 🔫 Endless Magazine | Removes reload interruptions during movement practice | Route memorization, aim tracking |
| 💰 Resource Surplus | Expands in-session currency for loadout experimentation | Testing every weapon attachment combination |
| 🕶️ Ghost Walk | Reduces detection radius from AI patrols in solo scenarios | Stealth route rehearsal |
| 🎯 Steady Sight | Eliminates recoil drift while the toggle is active | Recoil pattern learning |
| 🧱 Impact Buffer | Softens fall damage in verticality-heavy maps | Parkour and rooftop traversal practice |
| ⚡ Quick Recall | Instant respawn at last checkpoint | Speedrun iteration |
| 🧠 AI Behavior Preview | Highlights patrol paths of nearby NPCs | Understanding enemy logic |
| 🌐 HUD Customizer | Toggle individual HUD elements on and off | Clean screenshot capture |
| ⏱️ Time Dilation | Slow in-game time for frame-by-frame study | Analyzing enemy animation tells |
| 🔄 Loadout Snapshots | Save and restore in-session equipment presets | Comparing builds rapidly |
| 🎨 Visual Filters | Muted, cinematic, or high-contrast rendering presets | Streaming aesthetics |
Each capability toggles independently. Combine them like ingredients, not like a single switch.
🖥️ Supported Environments
| Platform | Status | Notes |
|---|---|---|
| Windows 10 (64-bit) | ✅ Fully supported | Primary development target |
| Windows 11 (64-bit) | ✅ Fully supported | Verified on 23H2 and 24H2 |
| Linux via compatibility layer | 🟡 Experimental | Community-reported, not officially validated |
| macOS | ❌ Not supported | Architecture mismatch |
| Steam Deck (Windows mode) | 🟡 Experimental | Works with reduced footprint |
For the smoothest experience, run WARDOGS in borderless windowed mode before launching the companion interface.
🎛️ Interface Walkthrough
The overlay is intentionally minimal. It looks less like a control panel and more like a translucent sticky note placed on the corner of your monitor.
- Top ribbon: Live status indicators (attached / detached, memory read rate, session timer).
- Left column: Toggle grid, grouped by category (Survivability, Offense, Utility, Visuals).
- Right column: Preset manager — save up to twelve named configurations.
- Bottom bar: Hotkey reference and a quick "panic restore" button that reverts every active modification instantly.
The whole thing is responsive: resize it, collapse it to a single pill, or hide it entirely behind a hotkey. It respects your screen real estate the way a good co-pilot respects your cockpit.
🕹️ Operational Modes Explained
🧪 Sandbox Mode
The default. Every toggle is available. Intended for aim training, route rehearsal, and loadout theorycrafting.
🎬 Cinematic Mode
Disables combat toggles and enables visual filters plus HUD customization. Built for creators capturing atmospheric footage.
🧗 Movement Lab
Focuses on traversal: Impact Buffer, Time Dilation, and Quick Recall. Perfect for mastering vertical maps.
🧠 Stealth Rehearsal
Pairs Ghost Walk with AI Behavior Preview so you can study patrol timing without being spotted.
🛠️ Diagnostic Mode
Read-only. No modifications applied. Useful for verifying compatibility before a session.
Switching modes is instant and does not require a restart.
🌍 Multilingual & Accessibility Support
The interface ships with community-translated strings for:
- 🇬🇧 English
- 🇪🇸 Spanish
- 🇩🇪 German
- 🇫🇷 French
- 🇵🇱 Polish
- 🇧🇷 Portuguese (Brazil)
- 🇯🇵 Japanese
- 🇰🇷 Korean
- 🇨🇳 Simplified Chinese
- 🇹🇷 Turkish
Accessibility features include:
- High-contrast theme for low-vision operators.
- Adjustable UI scale from 80% to 200%.
- Keyboard-only navigation with full focus trapping.
- Screen-reader labels on every toggle and preset slot.
- Reduced motion mode that disables overlay animations.
Translation contributions are welcomed through the repository's localization folder.
⚙️ Performance & Footprint
The suite is engineered to be forgettable — in the best way.
| Metric | Value |
|---|---|
| Idle RAM usage | ~18 MB |
| Active RAM usage | ~34 MB |
| CPU overhead (idle) | < 0.3% |
| CPU overhead (active) | < 2% on modern quad-core |
| Disk writes per session | Zero (config only, on exit) |
| Network calls | None |
If you notice the overlay stuttering, check the troubleshooting section below before filing an issue.
🗺️ Roadmap 2026
Q1 2026
- Preset cloud sync (opt-in, local-first)
- Expanded AI Behavior Preview with cone visualization
- Turkish and Polish translation refresh
Q2 2026
- Replay bookmarks tied to Time Dilation pauses
- Custom hotkey macro recorder
- Linux compatibility layer hardening
Q3 2026
- Modular plugin API for community-authored toggles
- Theme marketplace (curated, offline-installable)
- Steam Deck verified controls
Q4 2026
- Full accessibility audit and WCAG-aligned compliance report
- Documentation overhaul with video walkthroughs
- Long-term support branch for legacy Windows builds
Roadmap items are aspirational and may shift based on community feedback.
❓ Frequently Asked Questions
Q: Does this modify my game files? A: No. Everything is memory-resident. Close the process and nothing remains.
Q: Will this affect my multiplayer rank? A: The suite refuses to attach to networked sessions. Your rank is untouched.
Q: Is there a mobile version? A: Not at this time. The interface is desktop-first.
Q: Can I use this on a shared computer? A: Yes. No persistent artifacts remain after exit.
Q: How do I report a bug? A: Open an issue with your OS build, session mode, and a description of the behavior.
Q: Do you offer 24/7 customer support? A: Community support runs around the clock via discussion threads. Official maintainer responses typically land within one business day.
Q: Is this an officially licensed product? A: No. This is an independent community project, not affiliated with the original game's publisher or developer.
🤝 Community Guidelines
- Be kind. Everyone here is learning something.
- Search before posting. Many questions are already answered.
- No sharing of private server addresses or competitive match footage.
- No distribution of modified binaries outside official releases.
- Respect the sandbox. Do not promote use in competitive environments.
Violations result in a warning, then a temporary mute, then a permanent removal — in that order.
🧰 Troubleshooting Playbook
Overlay does not appear
- Ensure WARDOGS is running in borderless windowed mode.
- Verify your antivirus is not quarantining the process (a known false-positive pattern).
- Try launching the suite before the game.
Toggles revert immediately
- Diagnostic Mode may be active. Switch to Sandbox Mode.
Frame rate drops when overlay is visible
- Lower the UI scale to 100%.
- Disable the AI Behavior Preview.
- Enable Reduced Motion Mode.
Hotkeys conflict with in-game bindings
- Rebind suite hotkeys from the settings panel.
- Avoid F-keys that overlap with game functions.
Session crashes on attach
- Confirm game version matches the supported build listed in releases.
- Run the suite as administrator if memory reads fail.
🛠️ Contributing
We welcome pull requests that improve documentation, translations, accessibility, and stability. Before submitting:
- Read the existing issues to avoid duplicates.
- Follow the existing code style and documentation tone.
- Include a clear description of the change and its motivation.
- Test on at least one supported platform.
Maintainers review contributions on a rolling basis.
⚠️ Disclaimer
This project is provided for educational and single-player training purposes only. It is not affiliated with, endorsed by, or connected to the developers or publishers of WARDOGS in any official capacity.
Users are solely responsible for ensuring their use complies with the terms of service of any software they interact with, as well as all applicable local laws. The maintainers assume no liability for misuse, account actions, or damages arising from the use of this software.
Do not use this project in competitive or networked environments. It is not designed for them, and doing so violates the spirit of this repository.
📜 License
This project is distributed under the MIT License.
You are welcome to read, modify, and redistribute the source under the terms of that license. A copy of the license text is available at the canonical reference below:
➡️ MIT License — Open Source Initiative
Copyright (c) 2026 WARDOGS Companion Suite Contributors
Permission is hereby granted, in the spirit of open collaboration, to any person obtaining a copy of this software and associated documentation files, to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, subject to the conditions of the MIT License.
Final note: Train hard, exit clean, and remember that the goal is not to skip the game — it is to understand it more deeply, one rehearsal at a time.