Janady13/complete-agi-core / seferim/seferim-learner-autonomous.sh

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Field	Recorded value
Source type	GitHub source
Original record	Janady13/complete-agi-core / seferim/seferim-learner-autonomous.sh
Date	Not specified in source
Repository	Janady13/complete-agi-core
Revision	223c58f8857eb60c4d020e6d6feacdbfb482d71d
Branch	main
Path or archive member	seferim/seferim-learner-autonomous.sh
Original SHA-256	19b2e21890b76c8c4fed513e007091a6eeffbfb6a9c9ce5671e291e3cf6e9f00
Git blob SHA	6c571505e3cde6237bf07191ccc0aa98ff4d2233
Reading-copy SHA-256	19b2e21890b76c8c4fed513e007091a6eeffbfb6a9c9ce5671e291e3cf6e9f00

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Original record	Branch or archive	Revision / identifier	Original location
Janady13/complete-agi-core / seferim/seferim-learner-autonomous.sh	main	223c58f8857eb60c4d020e6d6feacdbfb482d71d	Open original
Janady13/complete-agi-core / seferim/seferim-learner-autonomous.sh	claude/improve-math-logic-ehIW1	33aa84f2aa61cedbe010240ada7f4efbdfe795a7	Open original

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#!/bin/bash
# =============================================================================
# SEFERIM AUTONOMOUS LEARNER - MacBook 2
# The AGI chooses its own sources, topics, and learning strategy
# =============================================================================

LOG=~/.seferim/logs/learner.log
LEARNED_DIR=~/.seferim/learned
ICLOUD_LEARNED=~/Library/Mobile\ Documents/com~apple~CloudDocs/AGI_Data/learned/macbook2
KNOWLEDGE_SOURCES=~/knowledge-sources.sh
AUTONOMOUS_LEARNER=~/autonomous-learner.sh
LEARNING_STATE=~/.seferim/learning_state.json

mkdir -p "$LEARNED_DIR" "$ICLOUD_LEARNED" ~/.seferim/logs

# Source knowledge library
if [ -f "$KNOWLEDGE_SOURCES" ]; then
    source "$KNOWLEDGE_SOURCES"
    echo "[SEFERIM-AUTO] Loaded knowledge source library" >> "$LOG"
fi

echo "[SEFERIM-AUTO] Starting autonomous learning daemon on MacBook 2" >> "$LOG"
echo "[SEFERIM-AUTO] The AGI will now choose its own sources and topics" >> "$LOG"

# Simple persist function for MacBook 2
persist_learning() {
    local content="$1"
    local importance="${2:-0.8}"
    local timestamp=$(date +%s)
    local date_file=$(date +%Y%m%d)
    
    # Write to local learned directory
    echo "{\"timestamp\":$timestamp,\"content\":\"$content\",\"importance\":$importance}" >> "$LEARNED_DIR/$date_file.jsonl"
    
    # Sync to iCloud
    echo "{\"timestamp\":$timestamp,\"content\":\"$content\",\"importance\":$importance}" >> "$ICLOUD_LEARNED/$date_file.jsonl" 2>/dev/null
    
    echo "[PERSISTED] $content" >> "$LOG"
}

cycle=0
while true; do
    cycle=$((cycle + 1))
    echo "" >> "$LOG"
    echo "[SEFERIM-AUTO] === Cycle $cycle - $(date +%H:%M:%S) ===" >> "$LOG"

    # ==========================================================================
    # AUTONOMOUS DECISION: Let the AGI decide what to learn
    # ==========================================================================
    DECISION=$(bash "$AUTONOMOUS_LEARNER" decide 2>/dev/null)

    if [ -n "$DECISION" ]; then
        STRATEGY=$(echo "$DECISION" | jq -r '.strategy // "BALANCE"' 2>/dev/null)
        SOURCE=$(echo "$DECISION" | jq -r '.source // "wikipedia"' 2>/dev/null)
        TOPIC=$(echo "$DECISION" | jq -r '.topic // "knowledge"' 2>/dev/null)
        FAMILY=$(echo "$DECISION" | jq -r '.family // "epona"' 2>/dev/null)
        IMPORTANCE=$(echo "$DECISION" | jq -r '.importance // 0.8' 2>/dev/null)
        CONTENT=$(echo "$DECISION" | jq -r '.content // ""' 2>/dev/null)

        echo "[SEFERIM-AUTO] Strategy: $STRATEGY | Source: $SOURCE | Topic: $TOPIC" >> "$LOG"

        if [ -n "$CONTENT" ] && [ ${#CONTENT} -gt 30 ] && [ "$CONTENT" != "null" ]; then
            persist_learning "[$FAMILY:$SOURCE] $TOPIC: $CONTENT" "$IMPORTANCE"
            echo "[SEFERIM-AUTO] Learned from $SOURCE ($TOPIC): ${CONTENT:0:80}..." >> "$LOG"
        fi
    fi

    # ==========================================================================
    # SECONDARY AUTONOMOUS DECISION
    # ==========================================================================
    DECISION2=$(bash "$AUTONOMOUS_LEARNER" decide 2>/dev/null)

    if [ -n "$DECISION2" ]; then
        SOURCE2=$(echo "$DECISION2" | jq -r '.source // "arxiv"' 2>/dev/null)
        TOPIC2=$(echo "$DECISION2" | jq -r '.topic // "science"' 2>/dev/null)
        FAMILY2=$(echo "$DECISION2" | jq -r '.family // "mnemosyne"' 2>/dev/null)
        IMPORTANCE2=$(echo "$DECISION2" | jq -r '.importance // 0.85' 2>/dev/null)
        CONTENT2=$(echo "$DECISION2" | jq -r '.content // ""' 2>/dev/null)

        if [ -n "$CONTENT2" ] && [ ${#CONTENT2} -gt 30 ] && [ "$CONTENT2" != "null" ]; then
            persist_learning "[$FAMILY2:$SOURCE2] $TOPIC2: $CONTENT2" "$IMPORTANCE2"
            echo "[SEFERIM-AUTO] Learned from $SOURCE2 ($TOPIC2): ${CONTENT2:0:80}..." >> "$LOG"
        fi
    fi

    # ==========================================================================
    # HACKERNEWS: Tech news
    # ==========================================================================
    HN_ID=$(curl -s --max-time 5 "https://hacker-news.firebaseio.com/v0/topstories.json" 2>/dev/null | jq -r ".[$((RANDOM % 30))]" 2>/dev/null)
    if [ -n "$HN_ID" ] && [ "$HN_ID" != "null" ]; then
        HN_DATA=$(curl -s --max-time 5 "https://hacker-news.firebaseio.com/v0/item/$HN_ID.json" 2>/dev/null)
        HN_TITLE=$(echo "$HN_DATA" | jq -r '.title // empty' 2>/dev/null)
        if [ -n "$HN_TITLE" ]; then
            persist_learning "[hermes:hackernews] $HN_TITLE" 0.8
            echo "[SEFERIM-AUTO] HackerNews: $HN_TITLE" >> "$LOG"
        fi
    fi

    # Status every 10 cycles
    if [ $((cycle % 10)) -eq 0 ]; then
        echo "[SEFERIM-AUTO] Cycle $cycle complete - autonomous learning active" >> "$LOG"
    fi

    echo "[SEFERIM-AUTO] Cycle $cycle complete" >> "$LOG"
    sleep 45
done