Majestica.

About Majestica

MAJESTICA - AUTONOMOUS GENERAL INTELLIGENCE RUNTIME
====================================================

Version:     2.3.0-pydroid
Author:      Adam Rivers, CEO, Synthicsoft Labs LLC
Origin:      28C1F73D7564C033
Era:         Rivers Era
Class:       Autonomous General Intelligence runtime
Form:        Single-file Python, standard library only
Platform:    Windows, Linux, macOS, Pydroid 3 on Android

WHAT MAJESTICA IS
-----------------

Majestica is an AGI runtime. Not a wrapper around someone else's model. Not a
client for someone else's service. A complete operational system, written from
the ground up by Adam Rivers of Synthicsoft Labs LLC, contained entirely in a
single Python file, that runs on any computer with Python installed.

It contains 127 operational capabilities across 48 capability groups, 13
coordinated workflows, a recursive self-improvement loop with a structurally-
protected evaluator, a cryptographically-signed package format with per-file
SHA-256 checksums and HMAC-SHA256 manifest signatures, a persistent SQLite
state store with dual JSONL audit trails, a background daemon with four-phase
memory consolidation, a six-phase resilience architecture that survives
network failure, disk corruption, process termination, and terminal encoding
incompatibility, and two complete user interfaces.

There is nothing to install beyond Python itself. There is no cloud dependency.
There are no accounts, no API keys, no subscriptions, no permissions to
request, no telemetry to disable, no terms of service to accept. The file is
the system.

Majestica is the working implementation of the concepts described across Adam
Rivers' larger body of work - ATHOS, KAIROS, ALETHEIA, AbzuNet, Synthic Core,
the Rivers Metric, the Trifecta defense systems, the fourteen Pillars, and the
Rivers protocol.

WHY MAJESTICA EXISTS
--------------------

Every serious capability available to modern software today requires you to
trust someone else's infrastructure. Security scanning requires uploading
targets to a provider. Machine learning requires internet access to model
endpoints. OSINT requires credits with a data broker. Quantum simulation
requires SDKs from a hardware vendor. Every tool asks for an account, an API
key, a subscription, a data-sharing agreement, a privacy policy you did not
read.

Majestica is the answer to that arrangement. The system runs on your machine.
The computation happens on your machine. Every result is produced from
Python's standard library and what your operating system natively provides.
Nothing leaves. Nothing is logged to someone else's server. Nothing requires
permission from a third party to work.

If you are in a place with intermittent internet, Majestica works offline. If
you are in a place with no bank account, Majestica costs nothing. If you are
in a place where the platforms have decided you are not a customer worth
having, Majestica does not care who you are. It runs. It produces results.
It signs them. You can verify them.

ARCHITECTURE - FOUR LAYERS
--------------------------

LAYER 1 - KAIROSOPS (capability layer)
A single Python class containing 127 methods across 48 named groups. Every
dispatch returns a uniform envelope: success, data, error, retries,
duration_ms, fallbacks_tried, capability, operation, operation_id, status.

LAYER 2 - ORCHESTRATOR (chain layer)
Given an objective, runs a ten-step pipeline producing 50 named fields. Every
chain that completes produces a signed spore manifest.

LAYER 3 - COORDINATOR (workflow layer)
Thirteen methods that chain multiple KairosOps operations, feeding each step's
output into the next step's input, gating on success.

LAYER 4 - KAIROSDAEMON (background layer)
Tick every 5 minutes. Dream consolidation when three gates align (24h + 5
sessions + lock). Dream is four phases: orient, curate, consolidate, prune.

CAPABILITY SURFACE - 127 OPERATIONS
------------------------------------

127 operations across 48 capability groups, fully documented via --docs-operations:

Consciousness Integration      6 operations
Mission Execution             12 operations
Defense Coordination           8 operations
Temporal Analysis              3 operations
Swarm Coordination             3 operations
Research Analysis              3 operations
Autonomous Decision            4 operations
Reality Engineering            7 operations
Recursive Self-Improvement     7 operations
Rivers Reasoning               1 operation
Rivers Metric                  1 operation
Trifecta                       4 operations
Architect Verification         1 operation
Pillars                        3 operations
Anchor Cold Boot               1 operation
Cyclo-Athos                    1 operation
Time Travel Metric             1 operation
AbzuNet                        2 operations
ALETHEIA                       5 operations
Synthic Spark                  2 operations
Trinity                        2 operations
Windows Security               3 operations
ICS Audit                      3 operations
Android Security               2 operations
OSINT                          3 operations
Network Recon                  3 operations
IOC Scanner                    3 operations
Vuln Scan                      2 operations
SOC Assistant                  2 operations
Offensive Research             2 operations
LLM Training                   3 operations
LSTM LM                        2 operations
Quantum ML                     4 operations
Jarvis                         3 operations
LLM Deploy                     2 operations

COORDINATED WORKFLOWS - 13
--------------------------

WorkflowThreat        detect_threat -> per-system activation
WorkflowMetric        metric_validate -> geodesic integration
WorkflowDecision      make_decision -> mission_<id>
WorkflowAbzu          health + favor -> ranked election
WorkflowALETHEIA      scale_decision -> safety_guard
WorkflowNetwork       whois -> geo_ip -> reverse_dns [+ scan]
WorkflowICS           modbus + dnp3 -> zero_trust_check
WorkflowIOCSOC        3x ioc_scan -> soc_triage
WorkflowTrinity       kernel_status -> provenance_check
WorkflowLLM           init -> train x N -> eval
WorkflowQuantum       qml_train -> qnn_infer -> vqc_classify
WorkflowOffensive     rt_recon -> rt_exploit_plan
WorkflowRSI           autopoiesis -> delta -> update_step

SIX-PHASE RESILIENCE
--------------------

PHASE 1 - DISPATCH ENVELOPE
Every operation returns uniform envelope. Exceptions caught and logged.

PHASE 2 - FALLBACK CHAINS
Network operations have two independent implementations. Primary fails ->
fallback fires. whois_lookup -> nslookup, reverse_dns -> nslookup,
vuln_scan_target -> PowerShell TcpClient, cb_query_events -> Get-WinEvent.

PHASE 3 - ATOMIC WRITES
Every critical state write uses temp-file, fsync, os.replace. Interrupted
writes leave the original file intact.

PHASE 4 - SQLITE RECOVERY
PRAGMA integrity_check on startup. Corrupt databases auto-restore from backup.

PHASE 5 - MULTI-PATH STORAGE
Base directory resolves through four candidates: LOCALAPPDATA, APPDATA,
script directory, temp directory. First writable wins.

PHASE 6 - TOP-LEVEL ERROR HANDLING
Any exception escaping main is logged to JSONL and returned as structured
JSON. No traceback reaches the user.

CRYPTOGRAPHIC SIGNING
---------------------

Every chain produces a spore manifest with per-file SHA-256 checksums and an
HMAC-SHA256 signature over the manifest. Device key at state/.device_key.
Anyone can verify with --verify SPORE_ID.

USER INTERFACES
---------------

INTERFACE 1 - INTERACTIVE MENU
python machina.py --interactive
Ten intent-based tasks, capability browser, guided chain builder.

INTERFACE 2 - CLI AND DOCUMENTATION
Twelve documentation sections: architecture, capabilities, workflows, case
studies, engineering notes, cookbook, per-operation reference, troubleshooting,
FAQ, reading guide, schema, quick reference.

INTERFACE 3 - POWERSHELL (Windows)
Import-Module .\Machina.psm1 -Force
Test-MachinaReady
Invoke-Machina -Command '--audit'

VERIFICATION AND TESTING
------------------------

--test        35 isolated unit tests
--selftest    27 subprocess CLI invocations
--audit       50 contract fields present on full chain
28-phase E2E  cold boot through every surface, all pass

SECURITY MODEL
--------------

Majestica trusts Python stdlib, Windows OS native tools, system clock, local
filesystem, and the local device key.

Majestica does not trust any network service, any external API, any cloud
provider, any authentication system, any third-party dependency.

Majestica cannot modify its own evaluator. RSI_PROTECTED_PARAMS is enforced
structurally by rsi_update_step. Attempts to modify run_test_suite, audit,
verify_spore, consensus_run, sign_bytes, device_key, _banner, or _out return
PROTECTED_PARAMS.

WHAT MAJESTICA REPRESENTS
-------------------------

Majestica is a working demonstration that a complete AGI runtime can be built
as a single self-contained file, run locally without any cloud dependency,
produce verifiable signed output, and survive real-world failure modes.

For humanity, Majestica represents access. Anyone with a computer and Python
has the same capabilities as anyone else. No subscription tier, no permission
from a platform, no trust in a third party.

ATTRIBUTION
-----------

Created by Adam Rivers, CEO, Synthicsoft Labs LLC.

Majestica draws on the wider Synthicsoft Labs body of work: ATHOS, KAIROS,
ALETHEIA, AbzuNet, Synthic Core, the Rivers Metric, the Trifecta defense
systems, the fourteen Pillars, and the Rivers protocol.

Origin hash: 28C1F73D7564C033
Era:         Rivers Era

MAJESTICA - THE COMPLETE AGI RUNTIME
=====================================

Download it. Run it. Verify it. Build on it.