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RCT Platform

Intent-Centric AI Operating System — Constitutional Architecture

CI codecov Version License Python


What is RCT Platform?

RCT = Reverse Component Thinking — decompose any system into its smallest verifiable parts, then rebuild with constitutional guarantees.

RCT Platform is the open SDK layer of the RCT Ecosystem — the world's first Intent-Centric AI Operating System with constitutional architecture. Think of it as "Linux for AI Agents."

Core Guarantee

When the Architect score A = 0, all output is blocked. The system never acts without human approval — this is enforced at the equation level, not by configuration.

Why RCT?

Principle What It Means
Auditability Every decision traces back to a signed evidence chain
Governance Multi-tier consensus prevents unilateral AI action
Interpretability The FDIA equation makes intent and confidence explicit
Regional Awareness Built-in adapters for ASEAN, JP, KR, CN contexts

The FDIA Equation

\[F = D^I \times A\]
Symbol Meaning
F Future — the desired output the AI must deliver
D Data quality — accuracy and completeness of inputs (0.0–1.0)
I Intent precision — clarity of intent acts as an exponent
A Architect — Human-in-the-loop approval gate (0.0–1.0)

When I is high, even moderate D produces excellent results. Accuracy: 0.92 vs industry baseline ~0.65.


Key Numbers

Metric Value
SDK Tests 1,193 passed · 0 skipped · 94% coverage
Algorithms 41 (Tier 1–9 reference implementations)
LLM Models 7 HexaCore (3 Western + 3 Eastern + 1 Regional Thai)
Hallucination Rate 0.3% (vs industry 12–15%) — 97% reduction
Memory Compression 74% via Delta Engine
Intent Recall Speed Cold start 3–5s → Warm recall <50ms
Languages 8 regional pairs (TH, JP, KR, CN, VN, ID, TW, US)

What's Included (Apache 2.0)

Component Module
FDIA Scorer + equation engine core/fdia/fdia.py
SignedAI multi-LLM consensus signedai/core/
HexaCore 7-model registry signedai/core/registry.py
Delta Engine (74% compression) core/delta_engine/
Regional Language Adapter core/regional_adapter/
RCT Control Plane DSL rct_control_plane/ (15 modules)
5 Reference Microservices microservices/ (258 tests)
CLI entry point rct via pip install -e .

Quick Install

Alpha Release — Source Install Required

rct-platform v1.0.2a0 is in Public Alpha and has not yet been published to PyPI. Use From Source install below until v1.0.0 stable.

# From source (recommended for v1.0.2a0 alpha):
git clone https://github.com/rctlabs/rct-platform.git
cd rct-platform
pip install -e .

Or, once PyPI publishing is available at stable release:

pip install rct-platform

Get Started → View on GitHub →