Deep State of Mind (DSOM) Protocol Evolution & Upstream Harmonisation Specification

Authoritative technical specification synthesising DSOM Protocol v0.1 to v0.2 evolution, single-writer partitioned memory, FastMCP integrations, multi-t…

Transmuting Operational Discoveries into the Foundational DSOM Architecture

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Metadata	Specification
Principal Architect	Harisfazillah Jamel (Handle: LinuxMalaysia), Senior ICT Consultant & Managing Director
Target Upstream Repo	deep-state-of-mind-for-my-ai (/home/haris/kerja/deep-state-of-mind-for-my-ai)
Originating Testbed	opensource-software-consultant-linuxmalaysia & Multi-Project Sovereign Matrix (19 Projects)
Protocol Baseline	DSOM v10.1.0-palace (April 2026) ➔ DSOM Protocol v0.2 / v11.0 (October 2026)
Compilation Date	19 October 2026

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1. Executive Summary & Purpose

The Deep State of Mind (DSOM) protocol originated in deep-state-of-mind-for-my-ai as a metacognitive governance framework enforcing three core pillars: AIOps (Mind), GitOps (Record), and Ansible (Executor) with the Sovereign Markdown Palace spatial index.

Over six months of continuous real-world execution across 19 production enterprise repositories (spanning critical infrastructure services, public service e-vetting, national identity platforms, higher education institutes, and cloud security environments), the protocol has advanced significantly. It has transitioned from a theoretical template into an active, multi-agent, cross-platform operational standard.

This document serves as the formal upstream proposal and harmonisation specification. It codifies all architectural upgrades, invariants, and battle-tested tooling created in the field, providing a clean merge blueprint for deep-state-of-mind-for-my-ai.

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2. Core Protocol Evolutions (Field Breakthroughs)

2.1 Pillar 4: Zero-Global / Single-Writer Partitioned Spatial Memory

• The Problem in v10.1.0: Early DSOM relied on a monolithic STATE.md file in .agents/brain/. When autonomous agent pairs (e.g. Google Antigravity and OpenHands) collaborated simultaneously, concurrent writes caused Git merge conflicts and race conditions.
• The v0.2 Breakthrough:
  1. Strict Partitioning: Memory is divided into dedicated Single-Writer ledgers:
     • state-antigravity.md: Exclusively owned and written by Google Antigravity.
     • state-openhand.md: Exclusively owned and written by OpenHands.
     • task.md & walkthrough.md: Primary present and historical partitions.
     • task-openhand.md & walkthrough-openhand.md: Peer agent historical partitions.
  2. Read-All / Write-Mine Invariant: Both agents read all state files to maintain global awareness, but write only to their designated ledger. Antigravity acts as the local integrator.
  3. Legacy STATE.md Deprecation: Marked as an immutable historical archive.

2.2 Open Knowledge Format (OKF v0.2) Standard

• The Problem: AI agents frequently parsed Markdown files ambiguously, resulting in context confusion or encoding errors.
• The v0.2 Standard: Every Markdown file must strictly start at Line 1, Column 1 with --- without UTF-8 BOM, followed by YAML frontmatter:
  ---
  okf_version: "0.2"
  type: "explanation" # [sovereign_rulebook, ledger, reference, how-to, explanation, tutorial]
  title: "Document Title"
  timestamp: "2026-10-19T07:52:00+08:00"
  topics: ["keyword1", "keyword2", "keyword3"]
  description: "High-density technical synopsis."
  ---
  
• Discovery Flow: Before running commands or reading entire directories, agents execute a 5-step knowledge-first scan matching topics: and description: in frontmatter.

2.3 Pure Python FastMCP Tooling Mandate

• The Problem: Third-party MCP servers reliant on Node.js/npx introduced heavy node_modules trees, supply chain risks, and non-compliance with lightweight mobile-first environments (Samsung DeX + Termux).
• The v0.2 Mandate: All MCP servers must be authored in native Python using mcp.server.fastmcp and httpx (pinned to mcp<2):
  • tools/mcp/gitlab_server.py: GitLab issues, repositories, and MR management.
  • tools/mcp/inferens_council.py: Sovereign local LLM council triad deliberation.
  • tools/mcp/qmd_server.py: Hybrid BM25/Vector local documentation retrieval.

2.4 GitLab-Native Cadence & Triple-Ledger Synchronisation

• Cadence Matrix: Integration of GitLab scoped labels (cadence::daily, cadence::weekly, domain::secops, workflow::triage) directly with local Git and Gitea mirrors.
• Triple-Ledger Sync: All releases and operational milestones must remain identical across README.md, CHANGELOG.md, and HISTORY.md.
• Anti-Heartbeat MR Invariance: Autonomous agents are strictly forbidden from opening automated Merge Requests for routine 15-minute heartbeats or session memory updates. MRs are reserved for real deliverables.

2.5 Multi-Tier Genesis & Antigravity Zero-Amnesia Portability

• The Problem: Moving active AI pairing sessions between Windows 11 (Tier 1) and WSL2 Linux (Tier 2) caused context amnesia.
• The v0.2 Solution:
  1. agy_session_sync.py: Automated tool mirroring Protobuf (.pb), annotations (.pbtxt), SQLite databases (.db), and brain artifacts across OS boundaries.
  2. Dual-Project Registration: Minting stable project UUIDs and creating matching configuration JSONs on both Windows (C:\Users\User\.gemini\config\projects\) and WSL2 (~/.gemini/config/projects/).
  3. Zero-Network Genesis: Direct cloning via DrvFs (/mnt/d/Users/...) allowing instant multi-tier onboarding before remote cloud repositories are provisioned.

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3. Concrete Merge Blueprint for deep-state-of-mind-for-my-ai

To adopt these breakthroughs into the upstream deep-state-of-mind-for-my-ai repository without disrupting existing Ansible playbooks or Palace indexes, execute the following phased merge plan:

Phase 1: Core Rulebook & Gateway Alignment

1. Adopt Dual AGENTS.md Pattern:
   • Root AGENTS.md: Summary gateway redirecting to .agents/AGENTS.md.
   • .agents/AGENTS.md: Master constitutional laws (incorporating Laws 1–15 from the consultant testbed).
2. Universal Gateway Matrix:
   • Update .cursorrules, CLAUDE.md, and .github/copilot-instructions.md to redirect foreign AI assistants to .agents/brain/ and enforce the Single-Writer invariant.

Phase 2: Spatial Brain Refactoring (.agents/brain/)

1. Migrate folder from .agent/ to .agents/ for modern multi-agent standardisation.
2. Initialize Single-Writer ledgers:
   • Create state-antigravity.md and state-openhand.md.
   • Archive existing STATE.md with explicit notice: > Superseded / Legacy Historical Archive.
   • Structure task.md, walkthrough.md, palace_registry.md, and active_context_manifest.md.

Phase 3: FastMCP Tooling Ingestion (tools/mcp/)

1. Copy the native FastMCP suite:
   • tools/mcp/gitlab_server.py
   • tools/mcp/inferens_council.py
   • tools/mcp/qmd_server.py
   • tools/mcp/requirements.txt (pinning mcp<2, httpx, pydantic)
   • tools/mcp/README.md
2. Add workspace-scoped configuration template: .agents/mcp_config.json.example.

Phase 4: Modernising Onboarding Automation (tools-and-automation/)

1. Upgrade dsom-onboard.sh and playbooks/dsom/onboard-dsom.yml:
   • Incorporate OKF v0.2 frontmatter templating into all generated Markdown files.
   • Inject the Multi-Tier Genesis SOP and dual Antigravity project registration recipes.
   • Include the DrvFs zero-network clone procedure for Windows/WSL2 cross-platform teams.

Phase 5: Publication-Grade Document Compilation

1. Ingest tools/pdf/compile_doc.py and tools/pdf/white-theme.css:
   • Replaces legacy GitBook/mdBook reliance with pure Pandoc + WeasyPrint publication-grade compilation.
   • Produces zero-toner-waste, executive-ready A4 PDFs and EPUBs from Markdown suites.

Phase 6: Re-syncing Sibling Repository Fleet

1. Cascade updated DSOM baseline template to all 18 sibling repositories across the enterprise matrix using dsom-onboard.sh.

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4. Multi-Project Synchronisation Checklist (Representative Sample)

Once deep-state-of-mind-for-my-ai is upgraded to DSOM Protocol v0.2 / v11.0, use this representative checklist to cascade improvements across the 18 sibling sovereign repositories:

Target Repository (Anonymised Category)	Current Baseline	High-Priority Upgrade to Pull from DSOM Core
sovereign-cloud-sanitisation	DSOM v0.2	Already aligned with latest v0.2; pull FastMCP suite for audit logs.
public-warning-system-core	DSOM v0.1	Upgrade from monolithic STATE.md to Single-Writer state-*.md; add OKF v0.2 frontmatter.
elastic-kibana-podman-fabric	DSOM v0.2	Already aligned with Quadlet v10.1; pull compile_doc.py for architecture reports.
dr-elastic-kibana-podman-fabric	DSOM v0.1	Align memory brain with primary CSM repo; add dual AGENTS.md.
logstash-kafka-podman-pipeline	DSOM v0.1	Implement OKF v0.2 frontmatter across playbooks and documentation.
national-api-gateway	DSOM v0.2	Pull GitLab FastMCP server for automated API issue tracking.
evetting-sovereign-portal	DSOM v0.2	Ensure DR route swing documentation adheres to Diátaxis reference standard.
aws-3tier-cloud-infra	DSOM v0.1	Upgrade to DSOM v0.2; adopt OpenTelemetry vs Dynatrace decision records.
academic-elastic-cluster & secops-soc-fabric	DSOM v0.1	Refactor legacy SOC playbooks to OKF v0.2; establish single-writer brain files.

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5. Conclusion & Action Items

The evolution of DSOM in opensource-software-consultant-linuxmalaysia has transformed the framework into an enterprise-ready, multi-agent cognitive operating model. By merging these specifications back into deep-state-of-mind-for-my-ai, the foundational repository will reclaim its role as the authoritative, cutting-edge source of truth for sovereign AI governance.

Immediate Action Plan:

1. Approve Specification: Review this document as the master architectural directive.
2. Execute Upstream PR/Commit: Package Phase 1–6 improvements into a dedicated branch feature/dsom-v11-field-harmonisation inside /home/haris/kerja/deep-state-of-mind-for-my-ai.
3. Run Validation Suite: Execute OKF validation and Ansible onboarding dry-runs.
4. Broadcast to Fleet: Synchronise the 18 sibling repositories using the upgraded dsom-onboard.sh script.

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Deep State of Mind (DSOM) For My AI Protocol | Harisfazillah Jamel (LinuxMalaysia) | 2026-10-19 Standard: UK English | DBP-standard Bahasa Melayu Malaysia (Piawai) | GNU General Public License v3.0