Artemis Continuity Engine
The AI-native engineering operating system that keeps Artemis coherent across Codex, Claude Code, GPT, design review, documentation, and future autonomous agents.
Why it exists
Multi-agent AI development creates speed, but it also creates drift. Each model enters a session with incomplete memory. If the repository does not carry the truth, every agent is forced to infer intent from chat history, partial files, or stale assumptions.
The Artemis Continuity Engine turns governance into a product surface. It gives every AI session the same starting point: source code, accepted architecture decisions, engineering rules, feature passports, and durable handover notes.
The knowledge pyramid
When sources disagree, Artemis resolves conflicts by authority:
- Source code and verified build output
- Accepted Architecture Decision Records
- Engineering architecture files
- Security, deployment, and operating rules
- Feature passports and component specifications
- Prompt templates and handovers
- AI session notes
- Conversation context
Conversation is useful direction. It is not final architectural authority.
The repo-native system
The continuity layer is now represented by durable files:
ENGINEERING/AI_AGENT_RULES.mdENGINEERING/ARCHITECTURE.mdENGINEERING/PROJECT_GENOME.yamlENGINEERING/FEATURE_PASSPORT_TEMPLATE.mddecisions/ADR-INDEX.mddecisions/ADR-005-ai-engineering-operating-system.mddocs/ArtemisAIEngineeringOperatingSystem.md
These files make the operating system readable by humans and by future AI agents before they touch implementation code.
What it protects
The Continuity Engine protects Artemis from quiet architectural decay:
- agents changing folder structure without a decision record
- standalone prototypes being merged into product surfaces without boundaries
- public pages overstating current capability
- token or credential language leaking into user-facing copy
- multiple agents duplicating components or inventing incompatible patterns
- handovers disappearing into chat instead of becoming repository memory
Feature passports
Every major Artemis module should eventually have a passport:
- purpose
- scope
- owner
- dependencies
- ADRs
- tests
- documentation
- security considerations
- known risks
- roadmap
Atlas, Finance Architecture, ArtemisIX19, Knowledge OS, GIS, CAD/BIM, ERP, and future agent workflows should become independently evolvable without losing the same governance model.
Validation beyond build success
A build can pass while architecture degrades. The next version of this system should measure:
- ADR coverage
- component documentation coverage
- dependency direction
- duplicate components
- design token usage
- prompt freshness
- security rule compliance
- accessibility and performance checks
- handover completeness
The target is not process for its own sake. The target is measurable coherence.
Confidence labels
AI recommendations should carry confidence levels:
- A: verified by repository
- B: consistent with repository
- C: inference from available context
- D: speculation
This prevents a generated explanation from sounding more certain than the evidence allows.
Roadmap
The next useful steps are practical:
- add feature passports for Atlas, Finance Architecture, and ArtemisIX19
- add a pull request template with ADR citation and AI safety checklist
- generate repository indexes for systems, components, prompts, and tests
- add lightweight architecture drift checks to CI
- preserve screenshots, build output, prompt versions, and deployment metadata at major milestones
The long-term asset is not only the website. It is the engineering memory that lets the website, Atlas, finance tools, GIS modules, knowledge systems, and future agents evolve without losing the reason they exist.