Home / Lexora / Lexora Specification
Lexora
Know Your Code Before You Build.
Lexora is an open source AI powered repository intelligence platform designed to help developers, analysts, organizations, and contributors understand a codebase before building on top of it, integrating it, modifying it, or adopting it.
The system analyzes repositories and transforms complex source code, documentation, dependencies, contributor activity, licensing, security signals, and development history into structured insights. Lexora is designed to help users understand what a project does, how it works, how it has changed, what risks may exist, and whether it is ready for further development or deployment.
Lexora uses a modular architecture that allows repository intelligence capabilities to operate independently while sharing a common analysis foundation. Core modules provide the primary functionality of the platform, while optional plugin modules allow deployments to extend Lexora for specialized workflows, platforms, languages, visualizations, integrations, and AI capabilities.
Design Principles
Lexora should be designed around the following principles:
- Modular architecture with independently maintainable components
- Local first operation where practical
- Provider independent AI and repository integrations
- Clear separation between data collection, analysis, reasoning, storage, and presentation
- Human readable explanations alongside machine readable results
- Transparent analysis with traceable findings
- Configurable privacy and security controls
- Support for self hosted and distributed deployments
- Extensible functionality through optional plugins
- Accessibility for developers, analysts, contributors, and nontechnical users
- Human oversight for recommendations and automated actions
Core Modules
Repository Intake Module
The Repository Intake Module manages repository discovery, access, retrieval, and synchronization.
Features include:
- Repository URL intake
- Repository metadata collection
- File tree discovery
- Branch and tag detection
- Commit history collection
- Repository snapshot creation
- Incremental update detection
- Multi repository analysis
- Repository comparison
- Fork and related repository analysis
- Configurable repository access methods
- Authentication support where authorized
- Rate limit awareness
- Retry and recovery handling
- Repository source provenance tracking
The module should support public repositories through authorized access methods and official platform interfaces where available.
Repository Source Module
The Repository Source Module provides connectors for supported repository platforms and source providers.
Core support should include:
- Git based repositories
- GitHub repositories
- GitLab repositories
- Codeberg repositories
- Bitbucket repositories
- Self hosted Git services
- Direct Git repository access
- Local repository analysis
- Imported repository archives
Each source connector should operate independently through a shared repository provider interface.
File Analysis Module
The File Analysis Module identifies, classifies, and processes repository contents.
Features include:
- File type detection
- Programming language detection
- Documentation detection
- Configuration file detection
- Structured data parsing
- Source code parsing
- File metadata extraction
- Binary file identification
- Generated file detection
- Large file handling
- File relationship analysis
- File change tracking
- Repository content indexing
The module should provide structured output that can be used by other Lexora modules without requiring repeated analysis.
Code Intelligence Module
The Code Intelligence Module analyzes source code structure and relationships.
Features include:
- Module detection
- Class detection
- Function and method detection
- Import and dependency analysis
- Call relationship analysis where supported
- Symbol extraction
- Code complexity analysis
- Maintainability analysis
- Code smell detection
- Anti pattern detection
- Duplicate code detection
- Dead code detection where supported
- Language specific analysis
- Structural relationship mapping
Analysis should be language aware and extensible through parsers and language plugins.
AI Understanding Module
The AI Understanding Module converts technical repository information into understandable explanations.
Features include:
- Repository summaries
- Module summaries
- File summaries
- Class summaries
- Function and method explanations
- Intent analysis
- Architecture explanations
- Documentation summarization
- Plain language explanations
- Technical explanations for experienced developers
- Context aware repository questions
- Cross file reasoning
- Repository knowledge retrieval
- Source grounded AI responses
AI generated results should preserve references to the files and analysis results that support each explanation whenever possible.
Documentation Intelligence Module
The Documentation Intelligence Module evaluates and improves repository documentation.
Features include:
- README analysis
- Documentation completeness analysis
- Missing documentation detection
- Documentation summaries
- Documentation generation
- README generation and enhancement
- API documentation support
- Function and module documentation suggestions
- Docstring generation
- Inline comment suggestions
- Tutorial generation
- Contributor onboarding guides
- Architecture documentation
- Change documentation
Generated documentation should be clearly identified as generated content until reviewed and accepted.
Dependency Intelligence Module
The Dependency Intelligence Module identifies and evaluates repository dependencies.
Features include:
- Dependency discovery
- Package manifest analysis
- Direct dependency mapping
- Transitive dependency analysis where available
- Dependency version analysis
- Outdated dependency detection
- Dependency relationship graphs
- Dependency change tracking
- Dependency risk analysis
- License information collection
- Known vulnerability integration where authorized data sources are available
The module should distinguish between confirmed findings and recommendations.
Security Analysis Module
The Security Analysis Module evaluates repositories for security related signals and potential risks.
Features include:
- Known dependency vulnerability detection
- Outdated package detection
- Sensitive data detection
- Potential credential detection
- Configuration risk detection
- Security policy detection
- Security documentation analysis
- Dependency risk reporting
- Repository security summaries
- Configurable security rules
- Finding severity classification
- Finding provenance and evidence tracking
Security findings should be presented as analysis results and should support review before automated action is taken.
License and Compliance Module
The License and Compliance Module identifies licensing information and evaluates compatibility across repository components.
Features include:
- License detection
- License text identification
- Dependency license analysis
- License compatibility checks
- Attribution requirement detection
- Notice file analysis
- Copyright metadata collection
- License conflict detection
- Compliance reporting
- Custom policy rules
- Configurable organization requirements
- License change tracking
The module should clearly distinguish between automated analysis and legal advice.
Contributor Intelligence Module
The Contributor Intelligence Module analyzes project participation and development activity.
Features include:
- Contributor identification from repository history
- Contribution activity summaries
- Commit activity analysis
- File ownership patterns where supported
- Contribution concentration analysis
- Maintainer activity summaries
- Project activity trends
- Historical contributor analysis
- Contributor relationship insights
- Onboarding activity analysis
The module should prioritize repository based evidence and configurable privacy controls.
Historical Analysis Module
The Historical Analysis Module tracks how repositories change over time.
Features include:
- Repository snapshots
- Commit analysis
- File change tracking
- Dependency change tracking
- Documentation change tracking
- License change tracking
- Architecture change detection
- Breaking change detection
- Historical comparisons
- Release comparisons
- Fork divergence analysis
- Change summaries
- Automated changelog generation
Historical analysis should allow users to compare selected points in a repository’s history.
Change Impact Module
The Change Impact Module evaluates how changes may affect other parts of a repository.
Features include:
- Changed file analysis
- Dependency impact analysis
- Module relationship analysis
- Potential downstream impact detection
- Test impact identification
- Documentation impact suggestions
- Configuration impact analysis
- Change summaries
- Review assistance
Impact analysis should communicate uncertainty when relationships cannot be confirmed.
Testing Intelligence Module
The Testing Intelligence Module evaluates repository testing practices and coverage.
Features include:
- Test file detection
- Test framework identification
- Test coverage analysis where coverage data is available
- Untested component identification
- Test gap detection
- Test relationship mapping
- Test quality insights
- Regression risk indicators
- Test generation suggestions
- Test documentation analysis
Recommendations should remain reviewable and should not replace human validation.
Build and Delivery Module
The Build and Delivery Module analyzes project build, automation, and deployment workflows.
Features include:
- Build configuration detection
- Continuous integration detection
- Continuous delivery configuration analysis
- Workflow analysis
- Build dependency analysis
- Deployment configuration detection
- Build health reporting
- Configuration consistency checks
- Environment requirement analysis
- Deployment documentation analysis
The module should support multiple automation and deployment systems through adapters.
Repository Health Module
The Repository Health Module combines signals from across Lexora to provide a broader assessment of repository condition.
Features include:
- Documentation health
- Dependency health
- Security signals
- Testing signals
- Maintenance activity
- Contributor concentration
- Build configuration status
- Licensing completeness
- Repository freshness
- Configurable health indicators
- Build readiness assessment
- Maintenance indicators
Health scores should remain explainable and configurable rather than relying on opaque scoring.
Predictive Analysis Module
The Predictive Analysis Module provides optional analytical forecasts based on observable repository patterns.
Features include:
- Maintenance effort estimates
- Repository risk indicators
- Potential bug concentration analysis
- Change risk estimates
- Dependency maintenance indicators
- Project sustainability indicators
- Predictive maintenance scoring
- Build readiness trends
Predictive results should display the evidence, confidence, limitations, and uncertainty associated with each result.
Knowledge Graph Module
The Knowledge Graph Module connects repository information into a structured relationship model.
Features include:
- File relationships
- Module relationships
- Function relationships
- Dependency relationships
- Contributor relationships
- Commit relationships
- Issue and change relationships where supported
- License relationships
- Architecture relationships
- Repository comparison relationships
The knowledge graph should provide a shared intelligence layer that other modules can query.
Visualization Module
The Visualization Module converts repository intelligence into interactive and exportable visual representations.
Features include:
- Dependency graphs
- Module relationship maps
- Architecture diagrams
- Commit activity visualizations
- Contributor activity visualizations
- Change impact maps
- Knowledge graph exploration
- Repository health views
- Historical comparison views
- Security finding visualizations
Visualizations should support accessible alternatives and machine readable exports where practical.
Reporting and Export Module
The Reporting and Export Module generates portable outputs from Lexora analysis.
Features include:
- Markdown reports
- JSON exports
- Structured analysis exports
- PDF reports
- Repository summaries
- Compliance reports
- Security reports
- Architecture reports
- Historical reports
- Custom report templates
- Scheduled report generation
Reports should preserve relevant provenance and source references.
Alert and Monitoring Module
The Alert and Monitoring Module monitors repositories and analysis results for meaningful changes.
Features include:
- Repository change detection
- Dependency change alerts
- Vulnerability alerts
- License change alerts
- Critical file change alerts
- Build configuration alerts
- Custom alert rules
- Scheduled monitoring
- Webhook triggered analysis
- Alert history
Users should be able to configure notification thresholds and reduce unnecessary alerts.
Workflow Automation Module
The Workflow Automation Module connects Lexora analysis to development workflows.
Features include:
- Repository webhooks
- Commit triggered analysis
- Pull request analysis
- Merge request analysis
- Scheduled analysis
- Automated report generation
- Custom workflow rules
- Review suggestions
- Documentation update suggestions
- Configurable approval requirements
Automated actions should support human review and approval controls.
Collaboration Module
The Collaboration Module helps teams use repository intelligence together.
Features include:
- Shared analysis results
- Team dashboards
- Repository notes
- Review annotations
- Issue prioritization suggestions
- Task suggestions
- Onboarding assistance
- Mentorship mode
- Contributor guidance
- Shared policy configurations
Collaboration features should support configurable permissions and self hosted deployments.
Accessibility Module
The Accessibility Module improves access to repository intelligence for different users and workflows.
Features include:
- Plain language explanations
- Adjustable explanation depth
- Voice output support
- Screen reader friendly reports
- Accessible visualization alternatives
- Keyboard accessible interfaces
- Exportable text based reports
Integration Module
The Integration Module provides standardized interfaces for external systems.
Features include:
- API access
- Webhooks
- IDE integrations
- Development tool integrations
- Continuous integration integrations
- Issue tracker integrations
- Documentation platform integrations
- Custom integration adapters
All integrations should use modular adapters to avoid vendor lock in.
Optional Plugin Modules
Optional plugins extend Lexora without requiring all deployments to include specialized functionality.
Plugins should use documented interfaces, permission controls, compatibility checks, and versioned contracts.
Additional Repository Provider Plugins
Optional plugins may add support for:
- Additional Git hosting platforms
- Self hosted repository services
- Specialized source control systems
- Internal enterprise repositories
- Archive and package sources
Language Intelligence Plugins
Language plugins may provide:
- Language specific parsing
- Advanced syntax analysis
- Framework awareness
- Language specific quality metrics
- Language specific security checks
- Framework specific architecture detection
AI Provider Plugins
AI provider plugins may support:
- Local language models
- Self hosted models
- Remote AI providers
- Specialized code models
- Embedding providers
- Alternative inference systems
Lexora should not require a single AI provider.
Security Provider Plugins
Security plugins may integrate:
- Vulnerability databases
- Dependency security services
- Secret scanning systems
- Static analysis tools
- Custom organizational security policies
Compliance Plugin Modules
Compliance plugins may provide:
- Industry specific policy rules
- Internal organizational policies
- Additional license databases
- Regulatory reporting templates
- Custom attribution requirements
Visualization Plugins
Visualization plugins may add:
- Additional graph types
- Specialized architecture diagrams
- Domain specific dashboards
- Interactive exploration tools
- Custom reporting layouts
IDE Plugin Modules
IDE plugins may provide repository intelligence within development environments, including:
- Contextual code explanations
- Dependency insights
- Change impact analysis
- Documentation assistance
- Repository health indicators
- AI assisted code understanding
Notification Plugins
Notification plugins may support:
- Email services
- Messaging platforms
- Team collaboration systems
- Webhook endpoints
- Custom notification providers
Issue and Project Management Plugins
Optional plugins may connect Lexora to:
- Issue trackers
- Project management platforms
- Task management systems
- Planning tools
- Development workflow platforms
Custom Analysis Plugins
Organizations and developers should be able to create custom analysis plugins for:
- Internal coding standards
- Proprietary frameworks
- Specialized compliance requirements
- Domain specific architecture analysis
- Custom repository health indicators
- Internal security policies
AI Interaction
Lexora should allow users to interact with repository intelligence using natural language.
Users should be able to ask questions such as:
- What does this repository do?
- How does this module interact with the rest of the system?
- What are the most important dependencies?
- What changed between these versions?
- Which parts of the repository are most complex?
- What documentation is missing?
- What potential risks should be reviewed?
- How ready is this project for further development?
Responses should use repository analysis and available evidence rather than unsupported assumptions.
Build Readiness
Lexora should provide a configurable Build Readiness assessment that helps users evaluate whether a repository is ready to adopt, extend, deploy, or build upon.
The assessment may consider:
- Documentation completeness
- Dependency condition
- Security findings
- Test coverage and testing practices
- Build configuration
- Maintenance activity
- License clarity
- Repository freshness
- Architecture understanding
- Configurable organizational requirements
The result should explain how each factor contributed to the assessment.
Privacy and Data Control
Lexora should provide clear control over repository data and analysis results.
Features should include:
- Local analysis options
- Self hosted deployment support
- Configurable data retention
- Repository specific access controls
- Optional external AI usage
- Local AI provider support
- Configurable storage backends
- Analysis deletion controls
- Export and portability options
Users should be able to understand where repository data is processed and stored.
Extensibility
Lexora should provide stable extension interfaces for plugins and integrations.
The extension system should support:
- Plugin discovery
- Plugin registration
- Version compatibility checks
- Permission declarations
- Feature capability declarations
- Configuration schemas
- Plugin isolation where practical
- Enable and disable controls
- Plugin provenance tracking
Optional functionality should not be required for core repository analysis.
Future Development
Future Lexora capabilities may include:
- Advanced repository recommendation systems
- AI assisted feature planning
- Automated architecture improvement suggestions
- Advanced code translation
- Expanded predictive maintenance models
- Additional development environment integrations
- Enhanced voice interaction
- Repository learning paths
- Interactive AI generated tutorials
- Expanded multi repository intelligence
- Organization wide repository intelligence
- Distributed analysis networks
Future features should continue to follow Lexora’s modular, transparent, provider independent, and human centered design principles.
Specification Branding License (SBL)
Standard
- Fully AGPL-3.0+ compliant system
- Copyleft enforced for network deployments
- Required attribution:
- Roxanne Ardary
- roxanneardary.com
Optional
- Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/lexora/
License & Notice Requirements
Lexora is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this 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.
- Lexora 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 – Lexora
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 – March 29, 2026
Created the repository for Lexora. Designed and developed the open source AI repository intelligence platform and its core architecture. - [Add other contributors here] – [Date]
[Describe contribution in one sentence]
License – Lexora
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.