sirius-lab
Govern your AI workflows.
Memory. Audit. Continuity.
Don't trust AI — constrain it with systems.
A series of governance tools built on MoCKA — an AI operating system for safety-critical work.
The Governance Engine
MoCKA Core Loop
Every AI interaction leaves a verifiable trace. Every decision is reproducible. Every failure becomes institutional knowledge.
Capture every AI interaction as structured input
Store all interactions in persistent institutional memory
Identify patterns, anomalies, and decision chains
Block unsafe or non-compliant AI behaviors before they occur
Apply governance rules to every AI action before execution
Execute governed AI operations with full accountability
Verify every action against the institutional record — then loop
The Series
Products Built on MoCKA
Each tool in the series addresses a distinct layer of AI governance — from individual conversations to institutional memory.
Orchestra
Save, search, and export Claude conversations locally. Your history, permanently yours.
Live
→
Relay
Context continuity across Claude sessions. When the context window fills, work doesn't stop.
In Dev
→
Memory
Persistent institutional memory for AI workflows. Structured, searchable, auditable.
Coming Soon
→
mini-MoCKA
MoCKA governance primitives distilled for individual researchers and developers.
Coming Soon
→
PHI-OS
Persistent History Injection OS — the published research architecture powering MoCKA's governance loop.
Research
→
The Difference
Why This Matters
Most AI tools optimize for convenience. sirius-lab optimizes for accountability.
| Existing AI tools | sirius-lab |
|---|---|
| Session-based — context vanishes | Persistent — every session accumulates |
| Cloud-dependent — your data elsewhere | Local-first — your data stays yours |
| Disposable conversations | Institutional memory |
| AI convenience | AI accountability |
| No audit trail | Verifiable, reproducible trace |
| Opaque decisions | Every decision is explainable |
Built by
Masahito Kimura
Independent researcher · Japan
30+ years in safety-critical plant engineering
"Silence Prohibition Protocol and Persistent History Layer"
GitHub: @m-sirius-k
30+
Years safety-critical engineering
2026
Research paper submission
5
Tools in the governance series