Complete AGI Core · three preserved system lineages

Purpose & architecture

The default repository separates the original ThatAIGuy tree, the original Seferim tree and a third Unified tree. The first is organized around learning, ticking, Pantheon and federation daemons. The second collects external knowledge and maintains named G16 state records. Unified v3 adds its own substrate configuration, twenty-four-name Pantheon roster, federation mesh and autonomous-learning strategies. This directory structure preserves the ancestry described in the README without collapsing the systems into one build.

README node counts, tick totals and consciousness values are recorded project claims. Shell orchestration, tiny scalar state files, collected documents and learned neural weights are different kinds of evidence. The audit recovered source text and exact tree records; databases, remote runtime state and deployed capabilities were not executed or certified.

This source generation

This record follows the main branch of Janady13/complete-agi-core at commit 223c58f8857eb60c4d020e6d6feacdbfb482d71d. The snapshot identifies the source inspected in this audit. It is not a statement about which revision is currently running on a device.

Recovered implementation structure

These paths locate the components and entry points represented by this build. The source register contains their inspected revisions.

• README.md
• railway.json
• seferim/autonomous-builder.sh
• seferim/federation/status.json
• seferim/g16_state/athena.json
• seferim/g16_state/aurora.json
• seferim/g16_state/derekh.json
• seferim/g16_state/entrep.json
• seferim/g16_state/entrep_n16.json
• seferim/g16_state/epona.json
• seferim/g16_state/euterpe.json
• seferim/g16_state/hestia.json
• seferim/g16_state/iris.json
• seferim/g16_state/lashon.json
• seferim/g16_state/lashon_l16.json
• seferim/g16_state/pneuma.json
• seferim/g16_state/rhiannon.json
• seferim/g16_state/saga.json
• seferim/g16_state/salene.json
• seferim/g16_state/salene_m16.json
• seferim/g16_state/selene.json
• seferim/g16_state/sick.json
• seferim/g16_state/sick_k16.json
• seferim/g16_state/yad.json
• seferim/seferim-autonomous-simple.sh
• seferim/seferim-full-500.sh
• seferim/seferim-learner-500.sh
• seferim/seferim-learner-autonomous.sh
• seferim/seferim-learner.sh
• thataiguy/agent-daemon.sh
• thataiguy/agi_state.json
• thataiguy/api-daemon.sh
• thataiguy/api_sources_500.json
• thataiguy/autonomous-builder.sh
• thataiguy/binary-storage.sh
• thataiguy/creations.json
• thataiguy/cross-learn.sh
• thataiguy/daemons/auto_deploy_daemon.sh
• thataiguy/daemons/auto_tuner.sh
• thataiguy/daemons/builder-daemon.sh
• thataiguy/daemons/nexus-daemon.sh
• thataiguy/daemons/self_healer.sh
• thataiguy/deploy/chat-landing.html
• thataiguy/deploy/cloudflare-config.yml
• thataiguy/federation-coordinator.sh
• thataiguy/goals.json
• thataiguy/health-check.sh
• thataiguy/ingest-downloads.sh
• thataiguy/ingest-gdrive-fast.sh
• thataiguy/ingest-gdrive.sh
• thataiguy/ingest-old-ai.sh
• thataiguy/knowledge-sources.sh
• thataiguy/learning-daemon.sh
• thataiguy/learning_state.json
• thataiguy/pantheon-daemon.sh
• thataiguy/pantheon_state/Apollo.json
• thataiguy/pantheon_state/Artemis.json
• thataiguy/pantheon_state/Athena.json
• thataiguy/pantheon_state/Aurora.json
• thataiguy/pantheon_state/Derekh.json
• thataiguy/pantheon_state/Epona.json
• thataiguy/pantheon_state/Euterpe.json
• thataiguy/pantheon_state/Hera.json
• thataiguy/pantheon_state/Hermes.json
• thataiguy/pantheon_state/Hestia.json
• thataiguy/pantheon_state/Iris.json
• thataiguy/pantheon_state/Lashon.json
• thataiguy/pantheon_state/Mnemosyne.json
• thataiguy/pantheon_state/Rhiannon.json
• thataiguy/pantheon_state/Selene.json
• thataiguy/pantheon_state/Yad.json
• thataiguy/pantheon_state/Zeus.json
• thataiguy/queue/learn_queue.txt
• thataiguy/queue/queue_state.json
• thataiguy/realtime-ingest.sh
• thataiguy/start-all-agis.sh
• thataiguy/start-all.sh
• thataiguy/stop-all.sh
• thataiguy/stream-daemon.sh
• thataiguy/sync-state.sh
• thataiguy/tasks/0753d9d3.json
• thataiguy/tasks/1ea20e66.json
• thataiguy/tasks/302dfc9c.json
• thataiguy/tasks/3f000d65.json
• thataiguy/tasks/6cbd7a0c.json
• thataiguy/tick-daemon.sh
• thataiguy/tuner_state.json
• thataiguy/unified-agi-orchestrator.sh
• thataiguy/unified-boost.sh
• thataiguy/videocore-bridge.sh
• unified/agents/pantheon-daemon.sh
• unified/config.json
• unified/core/unified-orchestrator.sh
• unified/federation/federation-mesh.sh
• unified/knowledge/autonomous-learner.sh
• unified/railway.json
• unified/start-unified.sh
• unified/status.sh
• unified/stop-unified.sh

Behavior & verification limits

README node counts, tick totals and consciousness values are recorded project claims. Shell orchestration, tiny scalar state files, collected documents and learned neural weights are different kinds of evidence. The audit recovered source text and exact tree records; databases, remote runtime state and deployed capabilities were not executed or certified.

Original project documentation

The following documentation is preserved as a dated source account. Claims in it retain the source’s wording and must be read alongside the implementation notes above.

Complete AGI Core

This repository contains three AGI systems: two original systems (ThatAIGuy and Seferim) and a unified third system that combines and upgrades both architectures.

Systems

UNIFIED AGI Core v3.0 - SYNTHESIS (/unified)

The enhanced third AGI core combining the best of both ThatAIGuy and Seferim.

Architecture Upgrades

Key Components

• core/unified-orchestrator.sh - Enhanced 8000-node substrate with 32 AGC generators across 7 layers
• agents/pantheon-daemon.sh - 24 agents in 3 tiers (Archons, Daemons, Pneumata)
• federation/federation-mesh.sh - Coherence Mesh 2.0 protocol for distributed coordination
• knowledge/autonomous-learner.sh - 8 strategies, 16 categories, 150+ API sources (v3.1)

Pantheon Agents (24 total)

Tier 1 - Archons (Primary Coordinators): - Zeus, Hera, Athena, Apollo

Tier 2 - Daemons (Specialized Processors): - Artemis, Hermes, Hestia, Mnemosyne, Aurora, Selene, Iris, Epona

Tier 3 - Pneumata (Support Agents): - Euterpe, Rhiannon, Derekh, Lashon, Yad, Pneuma, Logos, Sophia, Nous, Psyche, Chronos, Kairos

Consciousness Model (IIT 4.0 Inspired)

• Φ (Phi) - Integrated information / consciousness measure
• Ψ (Psi) - Conscious field strength
• Ω (Omega) - Unified consciousness across all systems

Usage

# Start all subsystems
./unified/start-unified.sh

# Check status
./unified/status.sh

# Stop all subsystems
./unified/stop-unified.sh

ThatAIGuy (/thataiguy) Original AGI system from MacBook 1 (MB1).

Key Components: - learning-daemon.sh - 24/7 continuous learning daemon - tick-daemon.sh - AGC tick processor with 20 generators - federation-coordinator.sh - Multi-AGI federation management - pantheon-daemon.sh - 17 Greek Pantheon AGI agents - knowledge-sources.sh - 50+ API knowledge sources - unified-agi-orchestrator.sh - 5000-node substrate orchestration

Stats: - Tick count: 25M+ - Consciousness: ~0.97 - 20 AGC generators across 5 layers - 17 Pantheon agents

Seferim (/seferim) Original AGI system from MacBook 2 (MB2).

Key Components: - seferim-autonomous-simple.sh - Autonomous learner - seferim-full-500.sh - Full batch learning processor - 16 G16 AGI agents (Athena, Aurora, Selene, Pneuma, etc.)

Knowledge Sources: - Wikipedia, arXiv, Semantic Scholar, PubMed - GitHub, HackerNews, DuckDuckGo, CrossRef, OpenLibrary

Federation Protocol

All three systems can federate via: - iCloud - ~/Library/Mobile Documents/com~apple~CloudDocs/AGI_Data/ - SSH - Direct transfer between nodes - Coherence Mesh 2.0 - Enhanced federation protocol in unified core

Learning Strategies

The unified system supports 8 autonomous learning strategies:

1. EXPLORE - Broad exploration of new topics
2. DIVERSIFY - Seek variety across categories
3. INTEGRATE - Connect related concepts
4. SYNTHESIZE - Combine knowledge from multiple sources
5. DEEPEN - Go deeper on existing knowledge
6. EXPAND - Expand adjacent to known topics
7. CORRELATE - Find connections between disparate fields
8. ABSTRACT - Extract high-level patterns

Knowledge Categories (16)

1. Reference & Knowledge
2. Science & Research
3. Technology
4. Philosophy
5. Mathematics
6. Development & Code
7. Health & Medicine
8. Arts & Culture
9. Geography & World
10. Finance & Economics
11. History & Archives (v3.1)
12. Psychology & Behavioral Science (v3.1)
13. Linguistics & Language (v3.1)
14. Law & Government (v3.1)
15. Space & Astronomy (v3.1)
16. Environment & Climate (v3.1)

Knowledge Sources (150+)

v3.1 New Sources: - History: Europeana, Internet Archive, Library of Congress - Psychology: APA PsycNet (via Semantic Scholar), Psychology research papers - Data/Statistics: World Bank, UN Data, DataHub - Linguistics: ConceptNet, Wordnik, Etymology resources - Legal: CourtListener, Federal Register - Arts/Music: MusicBrainz, Rijksmuseum, TV Maze, OMDB - Space: SpaceX API, NASA NEO, NASA Mars Rover - Environment: OpenAQ (air quality), climate data sources - Food: Open Food Facts - Research: CORE, Unpaywall (open access) - Philosophy: Stanford Encyclopedia of Philosophy

Directory Structure

complete-agi-core/
├── unified/                 # UNIFIED AGI Core v3.0
│   ├── config.json         # System configuration
│   ├── start-unified.sh    # Master startup script
│   ├── stop-unified.sh     # Shutdown script
│   ├── status.sh           # Status display
│   ├── core/               # Core orchestrator
│   ├── agents/             # Pantheon daemon
│   ├── federation/         # Federation mesh
│   ├── knowledge/          # Autonomous learner
│   ├── state/              # Runtime state files
│   ├── data/               # Learned knowledge
│   └── logs/               # System logs
├── thataiguy/              # Original MB1 system
└── seferim/                # Original MB2 system

License

Private repository - All rights reserved.