🚀 DeepOptimiser

Professional server-side performance optimisation for Fabric.
Engineered to reduce CPU load, improve TPS consistency, and keep Minecraft servers running smoothly under pressure.

Overview

DeepOptimiser is a server-side Fabric optimisation platform engineered for modern Minecraft servers.

Rather than relying on risky or invasive performance tricks, DeepOptimiser intelligently reduces unnecessary CPU work, improves tick consistency, and helps servers remain stable during sustained player activity.

• No client installation required
• Safe by default
• Production-ready

Features

Entity Optimisation

Reduce unnecessary entity processing while preserving gameplay.

• Entity tick culling
• Idle entity optimisation
• Low-priority workload reduction
• Safe scheduling logic

Tick Budget Management

Prevent expensive workloads from overwhelming the server.

• Regional tick budgeting
• Chunk workload balancing
• Conservative scheduling
• Stable default limits

Network Optimisation

Reduce networking overhead without affecting gameplay.

• Packet batching
• Packet coalescing
• Efficient network flushing
• Reduced packet overhead

Background Processing

Move expensive maintenance work into efficient batches.

• Async save batching
• Optimised autosave scheduling
• Reduced storage pressure

Administrative Controls

Built for production servers.

• Live status monitoring
• Runtime enable/disable
• Emergency optimisation pause
• Performance metrics

🆓 Free Edition

The Free Edition is fully functional and intended for long-term production use.

Included:

• Entity tick optimisation
• Static region budgeting
• Packet batching
• Packet coalescing
• Configurable rate limiting
• Chat protection
• Command protection
• Packet pressure management
• Async save batching
• Runtime administration commands
• Metrics hooks
• Safe conservative defaults
• MIT Licensed

Example Configuration

enableServerTickBudget: true
enableChunkUnloadPriority: true
enablePacketCoalescing: false
enableEntityTickCulling: true
enableAsyncSaveBatching: true
enableRateLimiting: true

tickBudgetNanos: 50000000

entityCullRangeBlocks: 24
entityTickCullInterval: 3

autosaveBatchIntervalTicks: 20

packetCoalescingMaxPackets: 16
packetCoalescingFlushIntervalTicks: 2

rateLimitPacketsPerSecond: 80
rateLimitCommandThresholdSeconds: 6
rateLimitChatThresholdSeconds: 6

💼 Commercial Editions

DeepOptimiser scales with your server.

Premium

Designed for growing communities.

• Dynamic region budgeting
• Entity Level-of-Detail (LOD)
• Entity proxy simulation
• Advanced packet batching
• Chunk hibernation
• Spawn admission queue
• Join storm protection
• Prometheus metrics
• Dashboard integration

Enterprise

Everything in Premium, plus:

• Adaptive autoscaling
• Entity aggregation
• Pathfinding LOD
• Intelligent flood shaping
• Queue transparency
• Advanced operational controls
• Live optimisation tuning

Obsidian

Built for network-scale deployments.

• Multi-node optimisation
• Distributed autoscaling
• Predictive surge management
• Network-wide admission control
• Advanced telemetry
• Centralised tuning dashboard
• Professional support

Why DeepOptimiser?

Unlike many optimisation mods that target only one area of performance, DeepOptimiser approaches optimisation as a complete server performance platform.

Benefits include:

• Lower CPU usage
• More stable TPS
• Better scalability
• Conservative production-safe defaults
• (Other than OBSIDIAN, AND ONWARDS) No client installation required
• No trial limitations
• Clear upgrade path

Installation

1. Install Fabric Loader.
2. Install Fabric API.
3. Place the DeepOptimiser JAR into your mods/ folder.
4. Start your server.

Server Startup

java -jar fabric-server-mc.26.2-loader.0.19.3-launcher.1.1.1.jar nogui

Commands

Check License Status

/ifom license status

Register a License

/ifom license register <key>

Compatibility

• Java 25
• Minecraft 1.26.2
• Fabric Loader 0.19.3
• Fabric API 0.154.0+26.2

Server-side only.
Players do not need to install the mod.

Licensing

DeepOptimiser uses a dual-license model:

Free Edition — MIT License

The Free Edition is fully open-source under MIT.
Users may freely:

• use
• modify
• redistribute
• fork
• publish
• build upon

MIT applies only to Free Edition components.

Commercial Editions — PhaseZero Labs Source‑Visible Commercial License (SVCL)

Paid-tier components (Premium, Enterprise, Obsidian) are proprietary.

Users may:

• view the code
• modify it privately
• use it on their own server

Users may NOT:

• redistribute paid-tier components
• redistribute modified paid-tier components
• publish paid-tier components
• resell or sublicense
• share paid-tier builds with other servers
• bypass license enforcement
• access paid features without purchase
• create public forks or derivative works

Paid-tier components are not open-source and not covered by MIT.

By using DeepOptimiser, you agree to the license terms appropriate to the tier you are using.

Attribution

If you redistribute or publish a modified version of the MIT edition, please retain attribution where practical.

Credits

• PhaseZero Labs
• Maykesh

Roadmap

Planned future capabilities include:

• Adaptive optimisation AI
• Advanced scheduler improvements
• Predictive workload balancing
• Expanded telemetry
• Enterprise infrastructure tools

Downloads

The latest releases, documentation, and licensing information are available from the project's official distribution pages.

Whether you're hosting a small private world or operating a large public network, DeepOptimiser provides a stable optimisation foundation that scales with your server.

Community

Need support for additional Minecraft versions or want to follow development?

Join the PhaseZero Labs Discord:

https://discord.gg/BmUZ6jHcJz

It's the home of the upcoming PhaseZero Labs SMP, where DeepOptimiser and other PhaseZero Labs projects are actively developed, tested, and showcased.

Whether you're interested in testing upcoming releases, providing feedback, or simply playing on a server built around the latest PhaseZero Labs technology, you're welcome to join the community.

The SMP is currently in development.

Disclaimer

Portions of this project were developed using AI-assisted tools as part of the PhaseZero Labs development workflow. All architecture, implementation, testing, and final technical decisions remain under human direction and review.