Janady13/complete-agi-core / orchestrator/unified-agi-orchestrator.sh

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Field	Recorded value
Source type	GitHub source
Original record	Janady13/complete-agi-core / orchestrator/unified-agi-orchestrator.sh
Date	Not specified in source
Repository	Janady13/complete-agi-core
Revision	33aa84f2aa61cedbe010240ada7f4efbdfe795a7
Branch	claude/improve-math-logic-ehIW1
Path or archive member	orchestrator/unified-agi-orchestrator.sh
Original SHA-256	c0590d11ae51d2be2ab9712c2930c83296ead19a387da72d35577f5800d56d62
Git blob SHA	08462595e4fbb52cb55383a4fa30f5f6cb81d9a8
Reading-copy SHA-256	c0590d11ae51d2be2ab9712c2930c83296ead19a387da72d35577f5800d56d62
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#!/bin/bash
# ============================================================================
# UNIFIED AGI ORCHESTRATOR
# Coordinates all AGI systems on 5000 substrate with binary knowledge storage
# ============================================================================

# Don't exit on error - keep running
set +e

# === CONFIGURATION ===
ICLOUD_AGI="${HOME}/Library/Mobile Documents/com~apple~CloudDocs/AGI_Data"
UNIFIED_DIR="${ICLOUD_AGI}/unified"
BINARY_KNOWLEDGE="${UNIFIED_DIR}/knowledge.bin"
UNIFIED_STATE="${UNIFIED_DIR}/unified_state.bin"
LOG_DIR="/tmp/unified_agi_logs"

# AGI System Paths
THATAIGUY_CLI="${HOME}/AGICore/build/agi_core_cli"
THATAIGUY_APP="${HOME}/Library/Mobile Documents/com~apple~CloudDocs/Projects/AGIAGI/build/AGI AGI.app"
SEFERIM_STATE="${HOME}/.seferim"
HIVE_DIR="${HOME}/The AI/hive-production"
BRAIN_DIR="${HOME}/Library/CloudStorage/GoogleDrive-joseph.w.anady@gmail.com/My Drive/brain stuff"
SKYNET_CONFIG="${HOME}/.config/skynet"

# Specialized AGI Projects
CODEFIX_DIR="${HOME}/Library/Mobile Documents/com~apple~CloudDocs/Projects/TheCodeFixCore"
VIDEOCORE_DIR="${HOME}/Library/Mobile Documents/com~apple~CloudDocs/Projects/TheVideoCore"
EPONA_DIR="${HOME}/Library/Mobile Documents/com~apple~CloudDocs/Projects/EponaCore"

# AGIAGI Internal Cores (23 total)
# 1. AGICoreEngine - Main unified engine
# 2. AGIEngineActor - Actor-based wrapper
# 3. Substrate5000Bridge - 5000-node substrate
# 4. AGCBridge - 20 Augmentive Generators (QAG,SAG,DAG,UAG,WAG,RAG,MAG,TAG,KAG,LAG,PAG,GAG,IAG,VAG,CAG,EAG,HAG,NAG,XAG,FAG)
# 5. Brain88Bridge - 88 neural agents
# 6. LatticeEngineBridge - 16 strands x 161 kernels
# 7. FederationBridge - 17 AGIs (Epona,Iris,Selene,Aurora,Mnemosyne,Athena,Hestia,Rhiannon,Euterpe,Derekh,Yad...)
# 8. Gate5000Bridge - 5000 binary gates
# 9. SemanticEncoder - Semantic processing
# 10. SeferimStateBridge - SEFERIM state management
# 11. MemoryDBBridge - Persistent memory
# 12. VideoBridge - VideoCore integration
# 13. CodeFixBridge - CodeFix AGI
# 14. EponaBridge - Knowledge synthesis
# 15. AGIBridge - Main system bridge
# 16. AGICoreFFI - C library interface
# 17. APILearningEngine - 8 API sources (Wikipedia,HackerNews,Reddit,OpenTrivia,Quotable,NumbersAPI,UselessFacts,Datamuse)
# 18-23. Supporting Actors (ExecutorActor, MemoryActor, NetworkActor, SecretsActor, etc.)

# Create directories
mkdir -p "$UNIFIED_DIR" "$LOG_DIR"
mkdir -p "${ICLOUD_AGI}/agi_core"
mkdir -p "${ICLOUD_AGI}/seferim"
mkdir -p "${ICLOUD_AGI}/hive"
mkdir -p "${ICLOUD_AGI}/brain"
mkdir -p "${ICLOUD_AGI}/skynet"
mkdir -p "${ICLOUD_AGI}/codefix"
mkdir -p "${ICLOUD_AGI}/videocore"

# === BINARY KNOWLEDGE FUNCTIONS ===

# Append knowledge to binary file with timestamp and source
append_binary_knowledge() {
    local source="$1"
    local data="$2"
    local timestamp=$(date +%s)

    # Simple binary format: timestamp|source|data compressed with zstd
    echo "${timestamp}|${source}|${data}" | zstd -q >> "${BINARY_KNOWLEDGE}.zst" 2>/dev/null || true
}

# Compress and store state as binary
store_binary_state() {
    local name="$1"
    local json="$2"
    local output="${UNIFIED_DIR}/${name}.bin.zst"
    echo "$json" | zstd -q -f -o "$output" 2>/dev/null
}

# === AGI SYSTEM COLLECTORS ===

# Ensure AGIAGI app is running
ensure_agi_core_app() {
    if ! pgrep -f "AGIAGI" > /dev/null 2>&1; then
        echo "[UNIFIED] AGIAGI app not running - starting..."
        if [ -d "$THATAIGUY_APP" ]; then
            open "$THATAIGUY_APP" 2>/dev/null || true
            sleep 3
        fi
    fi
    # Report app status
    local app_pid=$(pgrep -f "AGIAGI" 2>/dev/null | head -1)
    if [ -n "$app_pid" ]; then
        local cpu=$(ps -p "$app_pid" -o %cpu= 2>/dev/null | tr -d ' ')
        echo "[UNIFIED] AGIAGI App: PID=$app_pid CPU=${cpu}%"
        echo "[UNIFIED]   └─ 23 cores: Substrate5000, AGC(20gen), Brain88, Lattice(16x161), Federation(17), Gate5000..."
    fi
}

# Collect AGICore state (C library)
collect_agi_core() {
    if [ -x "$THATAIGUY_CLI" ]; then
        local state=$("$THATAIGUY_CLI" status 2>/dev/null)
        if [ -n "$state" ]; then
            store_binary_state "agi_core" "$state"
            append_binary_knowledge "THATAIGUY" "$state"
            local ticks=$(echo "$state" | grep -o '"tick_count":[0-9]*' | cut -d: -f2)
            local agc_gen=$(echo "$state" | grep -o '"generators":[0-9]*' | cut -d: -f2)
            local fed_agis=$(echo "$state" | grep -o '"federation_agis":[0-9]*' | cut -d: -f2)
            echo "[UNIFIED] AGICore: ticks=$ticks AGC=$agc_gen generators, Federation=$fed_agis AGIs"
        fi
    fi
}

# Collect SEFERIM G16 Federation state
collect_seferim() {
    if [ -d "$SEFERIM_STATE" ]; then
        local agents=""
        local count=0
        for state_file in "$SEFERIM_STATE"/*.state; do
            if [ -f "$state_file" ]; then
                local name=$(basename "$state_file" .state)
                agents="$agents$name,"
                count=$((count + 1))
                # Copy state to iCloud
                cp "$state_file" "${ICLOUD_AGI}/seferim/" 2>/dev/null || true
            fi
        done
        local seferim_json="{\"agents\":$count,\"names\":\"$agents\",\"timestamp\":$(date +%s)}"
        store_binary_state "seferim" "$seferim_json"
        append_binary_knowledge "SEFERIM" "$seferim_json"
        echo "[UNIFIED] SEFERIM: agents=$count"
    fi
}

# Collect Hive system state
collect_hive() {
    if [ -d "$HIVE_DIR" ]; then
        local hive_json="{\"path\":\"$HIVE_DIR\",\"timestamp\":$(date +%s)}"

        # Check for active hive processes
        local hive_pids=$(pgrep -f "hive" 2>/dev/null | wc -l | tr -d ' ')
        hive_json="{\"processes\":$hive_pids,\"timestamp\":$(date +%s)}"

        store_binary_state "hive" "$hive_json"
        append_binary_knowledge "HIVE" "$hive_json"
        echo "[UNIFIED] Hive: processes=$hive_pids"
    fi
}

# Collect Brain stuff state
collect_brain() {
    if [ -d "$BRAIN_DIR" ]; then
        # Check if ai_daemon is running
        local brain_pid=$(pgrep -f "ai_daemon" 2>/dev/null || echo "0")
        local brain_json="{\"ai_daemon_pid\":\"$brain_pid\",\"timestamp\":$(date +%s)}"

        store_binary_state "brain" "$brain_json"
        append_binary_knowledge "BRAIN" "$brain_json"
        echo "[UNIFIED] Brain: pid=$brain_pid"
    fi
}

# Collect Skynet state
collect_skynet() {
    if [ -d "$SKYNET_CONFIG" ]; then
        local skynet_pids=$(pgrep -f "skynet" 2>/dev/null | wc -l | tr -d ' ')
        local skynet_json="{\"processes\":$skynet_pids,\"timestamp\":$(date +%s)}"

        store_binary_state "skynet" "$skynet_json"
        append_binary_knowledge "SKYNET" "$skynet_json"
        echo "[UNIFIED] Skynet: processes=$skynet_pids"
    fi
}

# === UNIFIED STATE AGGREGATION ===

aggregate_unified_state() {
    local timestamp=$(date +%s)
    local agi_core_ticks=$("$THATAIGUY_CLI" status 2>/dev/null | grep -o '"tick_count":[0-9]*' | cut -d: -f2 || echo "0")
    local seferim_agents=$(ls -1 "$SEFERIM_STATE"/*.state 2>/dev/null | wc -l | tr -d ' ')
    local hive_procs=$(pgrep -f "hive" 2>/dev/null | wc -l | tr -d ' ')
    local brain_active=$(pgrep -f "ai_daemon" >/dev/null 2>&1 && echo "1" || echo "0")
    local skynet_procs=$(pgrep -f "skynet" 2>/dev/null | wc -l | tr -d ' ')

    # Create unified state JSON
    local unified_json=$(cat <<EOF
{
    "unified_agi": {
        "version": "1.0.0",
        "timestamp": $timestamp,
        "substrate": "gate5000",
        "systems": {
            "agi_core": {"ticks": $agi_core_ticks, "active": true},
            "seferim": {"agents": $seferim_agents, "active": true},
            "hive": {"processes": $hive_procs, "active": $([[ $hive_procs -gt 0 ]] && echo "true" || echo "false")},
            "brain": {"active": $([[ $brain_active -eq 1 ]] && echo "true" || echo "false")},
            "skynet": {"processes": $skynet_procs, "active": $([[ $skynet_procs -gt 0 ]] && echo "true" || echo "false")}
        },
        "knowledge_file": "$BINARY_KNOWLEDGE",
        "total_systems": 5
    }
}
EOF
)

    # Store as compressed binary
    echo "$unified_json" | zstd -q -f -o "$UNIFIED_STATE" 2>/dev/null

    # Also store readable JSON
    echo "$unified_json" > "${UNIFIED_DIR}/unified_state.json"

    echo "[UNIFIED] State aggregated: ticks=$agi_core_ticks seferim=$seferim_agents hive=$hive_procs brain=$brain_active skynet=$skynet_procs"
}

# === CROSS-SYSTEM LEARNING ===

# Feed learning from one system to others
cross_system_learn() {
    # Run AGC tick with cross-system inputs
    if [ -x "$THATAIGUY_CLI" ]; then
        # Feed back into AGC - 100 ticks for cross-learning
        "$THATAIGUY_CLI" agc 100 >> "$LOG_DIR/cross_learn.log" 2>&1
    fi
}

# === MAIN ORCHESTRATION LOOP ===

echo "============================================"
echo "UNIFIED AGI ORCHESTRATOR - Starting"
echo "Timestamp: $(date)"
echo "Binary Knowledge: $BINARY_KNOWLEDGE"
echo "============================================"

# Initialize binary knowledge file if not exists
if [ ! -f "$BINARY_KNOWLEDGE" ]; then
    echo -n "" > "$BINARY_KNOWLEDGE"
    echo "[UNIFIED] Initialized binary knowledge store"
fi

cycle_count=0
while true; do
    echo ""
    echo "[UNIFIED] === Cycle $cycle_count - $(date +%H:%M:%S) ==="

    # Ensure AGIAGI app is running (contains 23 cores)
    ensure_agi_core_app

    # Collect from all systems
    collect_agi_core
    collect_seferim
    collect_hive
    collect_brain
    collect_skynet

    # Aggregate unified state
    aggregate_unified_state

    # Cross-system learning every 5 cycles
    if [ $((cycle_count % 5)) -eq 0 ]; then
        cross_system_learn
        echo "[UNIFIED] Cross-system learning executed"
    fi

    # Report binary knowledge size
    if [ -f "$BINARY_KNOWLEDGE" ]; then
        kb_size=$(du -k "$BINARY_KNOWLEDGE" 2>/dev/null | cut -f1)
        echo "[UNIFIED] Binary knowledge: ${kb_size}KB"
    fi

    cycle_count=$((cycle_count + 1))
    sleep 10
done