SIC-SIT

Stabilize AI State
Make AI Behavior Traceable

Across sessions, models, and tasks — SIC-SIT keeps AI semantic state coherent, verifiable, and trustworthy.

The semantic integrity and governance layer for multi-agent AI systems.

Semantic Firewall
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Problems SIC-SIT Solves

Common AI Problems

Issue 01
AI loses context with every new session.
SIC-JS State Protocol solves this

Every new conversation starts from zero — decisions, context, and agreements are gone.

Issue 02
You can't explain why AI made a decision.
PTGR Governance Framework solves this

AI delivers answers with no traceable decision path. When things go wrong, there's no audit trail.

Issue 03
Multiple AIs working together lose semantic alignment.
IMCC Multi-Agent Governance solves this

Different AIs interpret the same task differently, causing semantic drift and contradictions.

Entry Selection

SIC-SIT Scope Definition

Three themes: Research × Practice × Technical Services

FOR ENTERPRISE

Governance Layer · Auditable Decisions · Cross-Model Sync · Human Authorization

01 · Organizations / Enterprise

Make Your AI Controllable & Auditable

AI Governance for Organizations

Deployed AI but can't explain its decisions? SIC-SIT adds a verifiable governance layer beneath AI execution — every session logged, every decision audited, every boundary human-authorized.

FOR DEVELOPERS

SIC-JS v3.0 · Semantic State Protocol · MCP-native · Zero-dep · Composable

02 · Developers / Builders

Give AI Persistent State

Open Technical Protocol Spec

AI starting from scratch every conversation? SIC-JS is an open protocol that preserves semantic coherence across sessions. MCP-native, zero dependencies, testable, integratable into any AI workflow.

FOR RESEARCHERS

Semantic Drift Measurement · S★=2.76 Frozen Constant · 700+ Rounds · Citable Protocol Hypotheses

03 · Researchers

Measuring AI Semantic Drift

Formal Theory & Empirical Data

Why do AI systems lose semantic coherence across sessions? 700+ rounds of empirical data, a formal drift theory, and the verifiable threshold constant S★=2.76.

Protocol Invariants

Three Non-Negotiable Principles

Protocol principles, applicable in most contexts.

Fail-Closed

When the system cannot confirm safety, it defaults to stopping rather than continuing. Uncertainty alone is sufficient cause to halt.

principle: fail_closed

Verifiable Stop

Every stop decision must be verifiable. The reason for stopping is part of the protocol, not an exception state.

anchor: reason + state

Semantic Integrity

The system's behavioral description must match actual behavior. Semantic integrity is a prerequisite for governance, not a result of it.

surface: SIC-JS v3.0
PROTOCOL ARCHITECTURE OVERVIEW

Current State & Future Directions

SIC-SIT is an evolving protocol ecosystem. Core governance philosophy is stable, but real-world deployments, extension mechanisms, and systems integration continue to progress.

Future DirectionsExpanded case studies, real-world validation, and cross-domain exploration.
Community Co-creationIntegrators and co-creators can apply the specifications in their own systems.
Open EntranceBegin interfacing with the protocol via Personal Edition and SIC-JS.
PROBLEM
[L1] Problem Space
FAIL_CLOSED
[L2] Governance Principles
SIC_JS
[L3] Public Interface
LINEAGE
[L4] Protocol Evolution
PROTOCOL INITIATION — PERSONAL EDITION
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SIC-SIT Personal Edition is the free gateway into the protocol. No registration — get the Starter Kit and begin immediately.

EXPLORE
Ecosystem Overview
Full IMCC Protocol View
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