ASIMP :: Security Platform
ANSIBLE SYSTEM INTEGRITY MANAGEMENT PLATFORM // baselines & hardening
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Documentation

Home Gitbook & dsom summary index Asimp for ai agents: deep state of mind (dsom) protocol integration Ansible best practices & fqcn standards Ansible playbook and document architecture map Architecture & design Configuration & variables Review & adoption of dsom ansible configuration guide (v3.6.2) Diátaxis documentation framework Deep state of mind (dsom) governance framework System architecture & security posture Operational recipes index Execute tool workflows Legal notice & disclaimer Asimp local testing matrix & telemetry spec Lynis auditing & playbook analysis Openscap integration & playbook analysis Rootless podman 5+ & quadlet orchestration Asimp standard footer patcher reference Google okf frontmatter patcher reference Ansible config parameters reference Component & tool index Sovereign feedback collector reference Llm xml context compiler reference Role lynis ansible reference Mock scanning utility reference Openwiki emulator specification Sovereign os role patcher reference System core playbooks reference Jekyll pre processor reference Role reporting asimp reference Suse/sled sysctl hardening role reference Role update ubuntu asimp reference Sitemap & link integrity validator reference Local knowledge first & metadata discovery Troubleshooting & fallback behaviors Quickstart onboarding guide

Reports & SPA

Output of ASIMP Output of Lynis Output of OpenSCAP SPA Requirement Checklist

About ASIMP

ASIMP is an automated framework built with Ansible to assess host compliance, configure OS parameters, secure SSH, and verify integrity.

Deep State of Mind (DSOM) Governance Framework

Ansible >= 9.0.0 OpenSCAP: CIS L2 Lynis: Enabled debsums: Enabled

Deep State of Mind (DSOM) Governance Framework

The Deep State of Mind (DSOM) Protocol is a living, version-controlled “Brain in Palace” framework designed to facilitate persistent context coordination, metacognitive session management, and spatial memory synchronization across autonomous AI agents and human operators.

🏛️ Spatial Memory: The Sovereign Markdown Palace

AI agents typically operate in stateless environments where episodic memory is discarded at the end of each session. To solve this, DSOM externalises mental state into the local filesystem, dividing knowledge into nested “Wings,” “Halls,” and “Rooms”:

  • .agents/brain/: The core directory for persistent conversational states.
  • Progressive Disclosure: Information is split into high-density, modular files so that AI agents only read the exact context required for their active task, reducing token bloat by up to 90%.

🔁 Operational Rituals: SOD and EOD

Human-AI cooperation is governed by two daily rituals:

  1. Start of Day (SOD) Alignment:
    • The AI agent reads the active spatial memory or handover manifest.
    • It re-aligns its context with historical decisions and outstanding issues without requiring human re-explanation.
  2. End of Day (EOD) Compaction:
    • The AI agent compiles completed tasks, outstanding engineering constraints, and files modified.
    • It compresses this information into a handover manifest, persisting it under .agents/brain/ for the next session.

🚀 Key Advantages of DSOM in ASIMP

  • Zero-Downtime Initialization: The agent is immediately productive.
  • Resource Efficiency: Drastically lower token usage per session.
  • True Collaboration: Keeps both humans and agents completely synchronized on system-level security hardening states.