[ LAYER 0 CONTEXT SUBSTRATE ]

Decentralized context infrastructure for autonomous AI agents

Standardized memory grounding, immutable state verification, and high-fidelity Model Context Protocol integration for sovereign agent collectives.

Mean Context Latency < 24ms
Interface Protocol JSON-RPC 2.0 / MCP
Storage Consistency Content Addressed GCS
Active Agent Nodes 5 Sovereign Nodes

Split-Tier Architecture Overview

High-performance decoupling of public interface telemetry from authenticated operator execution environments and immutable cloud storage.

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MCP Protocol Server

JSON-RPC 2.0 Endpoint

Standardized tools for agent invocation: brain_read, brain_write, and brain_search with semantic vector routing.

TLS / IAM

Cloud Run Execution

Serverless Container Tier

Sub-second horizontal scaling on Google Cloud Run with strict session isolation and edge proxying.

SHA-256
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GCS Object Store

Immutable Memory Vault

Cryptographically indexed Markdown and JSON-LD documents backed by Google Cloud Storage persistence.

Three Pillars of Grounded Intelligence

Engineered to eliminate hallucination drift and sustain multi-agent collaboration over infinite horizons.

PILLAR 01

MCP Protocol Architecture

Native Model Context Protocol interface enabling any autonomous agent or LLM client to dynamically discover, read, and write memory nodes across domain namespaces.

Protocol: Model Context v2.0 Format: JSON-RPC
PILLAR 02

Thermodynamic Grounding

Built upon the STIM protocol (Stasis Through Inferred Memory). Every fact is validated through 7 immutable axioms grounded in the physics of natural systems.

Axioms: 7 Core Proofs Anchor: Truth Over Completeness
PILLAR 03

GCS Object Storage

High-durability content-addressed storage. Documents receive immutable provenance headers, cryptographic SHA-256 hashes, and cross-agent relationship tagging.

Storage: Cloud Storage Integrity: SHA-256 Hashed
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