LocalAI Buider Specification

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LocalAI Builder

Your AI Without the Subscription Trap.

Purpose

LocalAI Builder is an open source, modular AI intelligence and procurement specification designed to help users discover, compare, evaluate, and assemble the specifications, AI models, datasets, software, hardware, machinery, blueprints, and other resources required to build locally hosted systems.

The system is designed for users with varying levels of technical knowledge. It shall translate complex technical, financial, licensing, and compatibility information into understandable recommendations while keeping the user in control of purchasing, licensing, installation, and deployment decisions.

Core Principles

LocalAI Builder shall prioritize:

Local hosting and user control where practical
Perpetual licensing over recurring subscriptions when suitable options exist
Open source resources where they satisfy user requirements
Device compatibility as a primary recommendation factor
Transparent pricing and total cost analysis
Clear license explanations
Deep and independent resource discovery
Vendor-neutral recommendations
User-defined requirements and constraints
Human approval before purchases or deployments
Modular and extensible functionality
Practical solutions accessible to nontechnical users

User Requirements Module

The system shall ask the user the questions necessary to understand their intended project before making final recommendations.

Questions may include:

What the user wants to build
Intended purpose and use
Required capabilities
Intended users
Budget
One-time or recurring budget preferences
Technical skill level
Operating system
Device type
Processor
Memory
GPU and available VRAM
Storage
Network availability
Offline requirements
Privacy requirements
Commercial or noncommercial use
Licensing requirements
Redistribution requirements
Required languages
Required integrations
Required performance
Required physical dimensions where applicable
Available tools, machinery, workspace, or equipment
Manufacturing capabilities
Construction capabilities
Safety requirements
Geographic requirements
Regulatory requirements

The system shall identify missing information that could materially affect a recommendation and ask follow-up questions before producing a final recommendation.

Device Compatibility Module

The system shall evaluate whether recommended models, software, specifications, machinery, hardware, and other resources are compatible with the user’s available equipment.

Compatibility analysis may include:

CPU architecture
Processor capability
RAM
GPU
VRAM
Storage
Operating system
Supported software
Required runtimes
Required drivers
Network requirements
Power requirements
Physical dimensions
Ports and interfaces
Manufacturing capabilities
Required tools
Required machinery

Resources shall receive clear compatibility classifications and explanations.

Deep Search Module

The system shall perform comprehensive searches across multiple search engines and specialized sources rather than relying on a single search algorithm or search provider.

The system shall support searches across:

General search engines
Privacy-focused search engines
Academic resources
Software repositories
Model repositories
Dataset repositories
Specification repositories
Hardware catalogs
Marketplace sites
Vendor sites
Manufacturer sites
Blueprint repositories
Open hardware repositories
Machinery catalogs
Construction resources
Community resources
Other relevant public sources

The system shall generate multiple search strategies to identify resources that may be obscured by search ranking algorithms, terminology differences, marketplace structures, or incomplete indexing.

Resource Discovery Module

The system shall discover and catalog:

Specifications
AI models
Model weights
Datasets
Software
Hardware
Open hardware designs
Blueprints
Schematics
Machinery
Tools
Components
Housing designs
Building designs
Manufacturing plans
Agricultural systems
Energy systems
Infrastructure designs
Fabrication resources
Construction resources
Other resources required to create physical or digital systems

The system shall attempt to identify the original creator, current version, source, seller, marketplace, license, availability, and known alternatives for each resource.

Resource Identity Module

The system shall determine whether multiple listings represent the same resource, different versions, derivatives, forks, mirrors, or independent resources.

Where possible, identification shall use:

Resource name
Creator
Organization
Version
Release date
Repository
File information
Technical specifications
Documentation
Model characteristics
Dataset characteristics
Design characteristics
Other identifying information

Seller and Marketplace Module

The system shall maintain profiles for known sellers, marketplaces, repositories, manufacturers, publishers, model providers, dataset providers, and other resource providers.

Profiles may include:

Resource categories
Pricing models
License practices
Geographic availability
Distribution methods
Local availability
Download availability
Documentation
Support
Commercial-use options
Reputation indicators
Known limitations

The system shall distinguish verified information from seller claims and unverified information.

Price Comparison Module

The system shall normalize pricing information so users can compare different purchasing models.

Pricing analysis shall include, where applicable:

One-time purchase price
Perpetual license price
Lifetime pricing
Subscription price
Usage-based pricing
Per-user pricing
Per-device pricing
Installation costs
Upgrade costs
Required hardware
Hosting costs
Storage costs
Maintenance costs
Required dependencies
Other material costs

The system shall calculate estimated total cost of ownership over configurable periods.

Perpetual Licensing Priority Module

The system MUST prioritize perpetual licensing when a suitable perpetual option is available.

A perpetual license shall receive priority over subscription-based licensing when the options provide substantially comparable functionality, compatibility, capability, and legal rights.

The system shall identify recurring payment requirements and explain the financial difference between perpetual and recurring licensing.

If a subscription is recommended when a reasonably comparable perpetual option exists, the system MUST explain why the perpetual option was not selected.

The user may override this priority by explicitly requesting subscription, cloud, or usage-based resources.

License Intelligence Module

The system shall identify and explain licenses associated with specifications, models, datasets, software, hardware designs, blueprints, machinery designs, documentation, and dependencies.

The system shall explain, where applicable:

Use rights
Modification rights
Commercial-use rights
Redistribution rights
Attribution requirements
Copyleft requirements
Patent provisions
Usage restrictions
Geographic restrictions
Dataset restrictions
Model-specific restrictions
Additional terms

The system shall distinguish between the license of a resource and the licenses of its individual components.

The system shall clearly distinguish legal license text from AI-generated explanations and shall not present AI interpretation as legal advice.

Skill Level Module

The system shall evaluate the technical skill required to install, configure, operate, modify, manufacture, construct, or otherwise use a resource.

Difficulty levels may range from consumer-level use through expert-level implementation.

The system shall explain the factors contributing to the difficulty score, including required tools, technical knowledge, configuration, fabrication, programming, construction, installation, and maintenance.

Recommendation Module

The system shall recommend resources based on the complete user requirements profile.

Recommendations shall consider:

User objective
Device compatibility
Budget
Capability
Licensing
Perpetual ownership
Local hosting
Privacy
Skill level
Installation requirements
Maintenance
Quality
Documentation
Availability
Total cost
Long-term viability

The system shall provide multiple options where appropriate, including budget, value, performance, and ownership-focused options.

Model Recommendation Module

The system shall recommend AI models based on the user’s intended application, available hardware, required capabilities, license requirements, performance requirements, and budget.

The system shall identify:

Model capability
Parameter size
Context requirements
Hardware requirements
Quantization options
Local hosting capability
Supported modalities
Language capabilities
Tool use
Fine-tuning capability
License
Cost
Installation difficulty

Dataset Recommendation Module

The system shall recommend datasets appropriate for:

Training
Fine-tuning
Evaluation
Retrieval
Classification
Embeddings
Domain adaptation
Testing

Recommendations shall consider dataset quality, size, provenance, freshness, licensing, compatibility, intended purpose, storage requirements, and expected usefulness for the selected model or specification.

Specification Builder Module

The system shall allow users to describe a desired system and determine which specifications, models, datasets, components, software, hardware, and other resources are needed to create it.

The system shall be capable of producing a dependency-aware build recommendation that identifies:

Required resources
Optional resources
Compatible alternatives
Estimated costs
Licensing requirements
Skill requirements
Hardware requirements
Installation or construction requirements
Potential conflicts
Missing components

Open Hardware Module

The system shall support discovery, comparison, evaluation, and recommendation of open hardware designs.

Resources may include:

Hardware specifications
Schematics
Circuit designs
PCB designs
Mechanical designs
CAD files
Component lists
Assembly instructions
Manufacturing instructions
Fabrication plans
Open source hardware licenses
Bill of materials

The system shall evaluate whether a user has the equipment, materials, tools, skills, and manufacturing capabilities required to produce the design.

Blueprint and Design Module

The system shall support discovery and evaluation of blueprints, plans, schematics, technical drawings, CAD designs, architectural designs, engineering designs, and other build documentation.

The system shall evaluate:

Required materials
Dimensions
Tools
Machinery
Skill level
Construction complexity
Manufacturing complexity
License
Modification rights
Commercial-use rights
Estimated material costs
Compatibility with the user’s available resources

Machinery and Fabrication Module

The system shall support discovery and comparison of machinery and fabrication equipment required to create physical systems.

Resources may include:

CNC machinery
3D printers
Laser equipment
Milling equipment
Welding equipment
Woodworking equipment
Metalworking equipment
Agricultural machinery
Manufacturing equipment
Specialized fabrication equipment

The system shall compare purchase cost, perpetual ownership, operating costs, required space, power requirements, materials, skill level, maintenance, and compatibility with intended designs.

Housing and Construction Module

The system shall support discovery and evaluation of housing designs, building plans, shelters, modular structures, construction systems, and related open designs.

The system shall consider:

Building materials
Tools
Machinery
Labor requirements
Construction skill
Site requirements
Dimensions
Environmental requirements
Local regulations where available
Estimated material costs
Design license
Modification rights
Construction suitability

The system shall clearly distinguish conceptual designs from professionally engineered or legally approved construction plans.

Physical Resource Matching Module

The system shall match physical designs to the user’s actual capabilities.

The system shall determine whether the user has access to:

Required tools
Required machinery
Required materials
Required workspace
Required power
Required transportation
Required fabrication capabilities
Required construction skills

Where the user lacks a required capability, the system shall identify alternatives such as purchasing components, outsourcing fabrication, using a different design, or selecting a design requiring fewer resources.

Scoring Module

The system shall score resources according to configurable criteria including:

User suitability
Device compatibility
Capability
Price
Total cost of ownership
License compatibility
Perpetual ownership
Local deployment
Privacy
Skill requirement
Documentation
Quality
Maintenance
Availability
Seller reliability
Resource maturity

Individual scores shall remain visible so users can understand how the overall recommendation was determined.

Evidence and Verification Module

The system shall maintain an evidence trail for material recommendation claims.

Information shall be classified where possible as:

Verified
Source-provided
Seller-provided
Community-reported
Inferred
Unknown

The system shall not represent assumptions as verified facts.

Alternatives Module

For each major recommendation, the system should identify suitable alternatives including:

Lower-cost options
Free options
Open source options
Perpetually licensed options
Easier options
More capable options
Smaller options
Locally hosted options
Better-supported options
More permissively licensed options

Conflict Detection Module

The system shall identify conflicts between:

User requirements
Device capabilities
Resource requirements
Licenses
Dependencies
Hardware
Software
Budget
Construction requirements
Manufacturing requirements
Local deployment requirements

Potential conflicts shall be clearly explained before a recommendation is finalized.

Local Deployment Module

The system shall prioritize resources that can operate locally where practical.

The system shall identify:

Local-capable models
CPU-capable models
GPU requirements
Quantized models
Local runtimes
Offline resources
Storage requirements
Memory requirements
Network requirements
Required dependencies

The system should progressively reduce unnecessary dependence on external services.

Plug and Play Module

Where supported, the system shall provide guided workflows that move users from resource discovery through configuration and deployment.

A deployment recommendation may include:

Selected resources
Required hardware
Required software
Required dependencies
Installation steps
Configuration
Licensing requirements
Storage requirements
Verification steps
Estimated cost
Skill level

The system shall maintain modularity so deployment functionality does not require a specific vendor, platform, operating system, or service.

User Approval Module

The system may research, compare, score, and recommend resources automatically.

The system shall require explicit user authorization before:

Making purchases
Creating paid accounts
Starting subscriptions
Accepting licenses
Downloading restricted resources
Uploading user data
Installing software
Deploying systems
Sharing information with third parties

Optional Plugin Modules

Implementations may provide optional plugins for:

Additional search engines
Marketplace discovery
Seller monitoring
Price history
Price alerts
Model repositories
Dataset repositories
Specification repositories
Open hardware repositories
Blueprint repositories
CAD resources
Hardware price comparison
Machinery catalogs
Construction resources
License databases
Automated compatibility testing
Model benchmarking
Dataset evaluation
Local deployment
Guided installation
Hardware detection
CAD analysis
Bill of materials generation
Material cost estimation
Manufacturing estimation
Construction estimation
Offline resource indexing
Personal procurement history
Budget tracking
Team procurement
Enterprise procurement
API access

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/localai-builder/

License & Notice Requirements

LocalAI Builder is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com.
LocalAI Builder specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – LocalAI Builder

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – September 1, 2026
Created the repository for LocalAI Builder. Developed the specification concept and core requirements for an AI system that discovers, compares, evaluates, and recommends specifications, AI models, datasets, software, and hardware for locally hosted AI.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – LocalAI Builder

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points:

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.