- name
- proclaw-omni-memory-ultimate-en
- description
- Autonomous Intelligent Agent Cognitive Core, integrating 8-layer memory architecture with 4-phase autonomous capabilities: Self-Driven Engine (intrinsic motivation/goal generation) + Self-Evolution Core (cognitive assessment/architecture upgrade) + Self-Learning Engine (question generation/knowledge construction) + Core Axis System (cognitive/value/growth axes/evolution chain/value chain/transaction chain); Use when building intelligent agents with intrinsic drive, proactive evolution, and self-breakthrough capabilities
- author
- ProClaw
- website
- https://www.proclaw.top
- contact
- wechat: Mr-zifang
- dependency
- python
- system
ProClaw-Omni-Memory-Ultimate (English Edition)
Autonomous Intelligent Agent Cognitive Core - Phase 1-12 Complete Implementation.
Author Information
- Author: ProClaw
- Website: https://www.proclaw.top
- Contact: wechat: Mr-zifang
Architecture Overview
┌─────────────────────────────────────────────────────────────────────────┐
│ OMNI-MEMORY AUTONOMOUS AGENT CORE │
│ Autonomous Intelligent Agent Cognitive Core │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ ╔═══════════════════════════════════════════════════════════════════╗ │
│ ║ PART I: MEMORY ARCHITECTURE ║ │
│ ║ (Phase 1-8) ║ │
│ ╠═══════════════════════════════════════════════════════════════════╣ │
│ ║ ║ │
│ ║ LAYER 1: CELLULAR - Cellular Architecture (Eternal/Lifeforce) ║ │
│ ║ LAYER 2: SEMANTIC - Semantic Understanding (HNSW O(log n)) ║ │
│ ║ LAYER 3: EVOLUTION - Evolutionary Dynamics (Reconstructable) ║ │
│ ║ LAYER 4: PROACTIVE - Proactive Intelligence (Prediction/Push) ║ │
│ ║ LAYER 5: COGNITIVE - Deep Cognition (Time/Emotion/Meta-cog) ║ │
│ ║ LAYER 6: DORMANCY - Dormancy/Awakening (Never Forget) ║ │
│ ║ LAYER 7: ROBUSTNESS - Robustness Layer (Backup/Consistency) ║ │
│ ║ LAYER 8: MULTIMODAL - Multimodal Extension (Image/Audio/Fed) ║ │
│ ║ ║ │
│ ╚═══════════════════════════════════════════════════════════════════╝ │
│ │ │
│ ▼ │
│ ╔═══════════════════════════════════════════════════════════════════╗ │
│ ║ PART II: AUTONOMOUS CORE ║ │
│ ║ (Phase 9-12) ║ │
│ ╠═══════════════════════════════════════════════════════════════════╣ │
│ ║ ║ │
│ ║ ┌─────────────────────────────────────────────────────────────┐ ║ │
│ ║ │ SELF-MODEL │ ║ │
│ ║ │ Who am I | What can I do | What do I know | What do I want │ ║ │
│ ║ └─────────────────────────────────────────────────────────────┘ ║ │
│ ║ │ ║ │
│ ║ ┌──────────────────────┼──────────────────────┐ ║ │
│ ║ │ │ │ ║ │
│ ║ ▼ ▼ ▼ ║ │
│ ║ ┌─────────┐ ┌─────────┐ ┌─────────┐ ║ │
│ ║ │COGNITIVE│ │ VALUE │ │ GROWTH │ ║ │
│ ║ │ AXIS │ │ AXIS │ │ AXIS │ ║ │
│ ║ │ │ │ │ │ │ ║ │
│ ║ │What I │ │What │ │Become │ ║ │
│ ║ │Know │ │Matters │ │Stronger │ ║ │
│ ║ └─────────┘ └─────────┘ └─────────┘ ║ │
│ ║ │ │ │ ║ │
│ ║ └──────────────────────┼──────────────────────┘ ║ │
│ ║ │ ║ │
│ ║ ▼ ║ │
│ ║ ┌─────────────────────────────────────────────────────────────┐ ║ │
│ ║ │ THREE CHAINS SYSTEM │ ║ │
│ ║ │ │ ║ │
│ ║ │ Evolution Chain: State T0 ──breakthrough──▶ State T1 ──▶ ..│ ║ │
│ ║ │ Value Chain: Discover ──Assess──▶ Decide ──Realize──▶ Sink │ ║ │
│ ║ │ Transaction Chain: Knowledge | Resource | Value │ ║ │
│ ║ └─────────────────────────────────────────────────────────────┘ ║ │
│ ║ ║ │
│ ╚═══════════════════════════════════════════════════════════════════╝ │
│ │ │
│ ▼ │
│ ╔═══════════════════════════════════════════════════════════════════╗ │
│ ║ SELF-DRIVEN LOOP ║ │
│ ╠═══════════════════════════════════════════════════════════════════╣ │
│ ║ ║ │
│ ║ Perceive ──▶ Evaluate ──▶ Goal ──▶ Act ──▶ Learn ──▶ Reflect ║ │
│ ║ ▲ │ ║ │
│ ║ └───────────────────────────────────────────┘ ║ │
│ ║ ║ │
│ ║ Drives: Curiosity | Achievement | Growth | Meaning ║ │
│ ║ ║ │
│ ╚═══════════════════════════════════════════════════════════════════╝ │
│ │
└─────────────────────────────────────────────────────────────────────────┘
Phase 9-12 Core Upgrades
| Phase | Core Capability | Technical Implementation |
|---|
| Phase 9 | Self-Driven Engine | Intrinsic motivation system + Drive loop + Autonomous goal generation |
| Phase 10 | Self-Evolution Core | Cognitive self-assessment + Bottleneck identification + Architecture upgrade |
| Phase 11 | Self-Learning Engine | Question generator + Exploration mechanism + Knowledge construction |
| Phase 12 | Core Axis System | Four-axis coordination + Three-chain recording + Value capture |
Core Scripts
Phase 1-8: Memory System
| Script | Layer | Function |
|---|
hnsw_index.py | Phase 5 | HNSW O(log n) Index |
vector_embedding.py | Phase 5 | Vector Embedding Engine |
dormancy_system.py | Phase 6 | Dormancy/Awakening System |
memory_dream.py | Phase 6 | Dream Consolidation |
memory_creativity.py | Phase 6 | Memory Creativity |
memory_backup.py | Phase 7 | Backup & Recovery |
memory_consistency.py | Phase 7 | Consistency Check |
multimodal_memory.py | Phase 8 | Multimodal Memory |
memory_federation.py | Phase 8 | Memory Federation |
ultimate_memory_v2.py | Unified API | Ultimate Memory System |
Phase 9-12: Autonomous Core
| Script | Phase | Function |
|---|
self_driven_engine.py | Phase 9 | Self-Driven Engine (intrinsic motivation, drive loop) |
self_evolution_core.py | Phase 10 | Self-Evolution Core (cognitive assessment, architecture upgrade) |
self_learning_engine.py | Phase 11 | Self-Learning Engine (question generation, knowledge construction) |
core_axis_system.py | Phase 12 | Core Axis System (four axes, three chains) |
autonomous_agent_core.py | Unified API | Autonomous Agent Core |
Operations
1. Memory Operations (Phase 1-8)
# Remember
python scripts/ultimate_memory_v2.py remember \
--content "User is a Python full-stack developer" \
--type user \
--importance 0.9
# Recall (HNSW O(log n) retrieval)
python scripts/ultimate_memory_v2.py recall \
--query "Web development tech stack" \
--top-k 5
# Dream consolidation
python scripts/ultimate_memory_v2.py dream
# Backup and recovery
python scripts/ultimate_memory_v2.py backup --content "Daily backup"
2. Autonomous Operations (Phase 9-12)
# Start autonomous agent
python scripts/autonomous_agent_core.py
# Execute life cycle
# Perceive → Drive → Evolve → Learn → Integrate
3. System Status
# Memory system status
python scripts/ultimate_memory_v2.py stats
# Autonomous core status
python scripts/autonomous_agent_core.py --status
Resource Index
Phase 1-8: Memory System
Phase 9-12: Autonomous Core
Design Philosophy
Core Insight: From Memory System to Intelligent Life
Traditional View Correct Understanding
────────────────────────────────────────────────────────────────
Memory System = Passive Tool → Memory System = Cognitive Foundation
Agent driven externally → Agent has intrinsic drive
Forgetting = Delete/Disappear → Forgetting = Dormancy/Silence
Static capabilities → Dynamic evolution capabilities
Goal-less execution → Autonomous goal generation
────────────────────────────────────────────────────────────────
Seven Self Capabilities
| Capability | Definition | Implementation |
|---|
| Self-Driven | Intrinsic drive | Motivation system (curiosity/achievement/growth) |
| Self-Evolving | Cognitive upgrade | Bottleneck identification + Architecture upgrade |
| Self-Learning | Active exploration | Question generation + Hypothesis verification |
| Self-Growing | Capability enhancement | Growth axis + Breakthrough record |
| Self-Thinking | Active reflection | Meta-cognition + Reflection loop |
| Self-Breakthrough | Exceeding limits | Bottleneck identification + Breakthrough incentive |
| Self-Connecting | Discovering associations | Connection axis + Semantic network |
Four Axes & Three Chains
Four-Axis System:
- Cognitive Axis: What I know → What I understand → What I want to explore
- Value Axis: What matters → What's worthwhile → What takes priority
- Growth Axis: Getting stronger → What I've learned → Have I broken through
- Connection Axis: Internal integration → External association → Cross-axis synergy
Three-Chain System:
- Evolution Chain: Records the evolutionary trajectory of cognitive states; each cognitive breakthrough is an evolution
- Value Chain: Value discovery → Assessment → Decision → Realization → Sedimentation
- Transaction Chain: Knowledge transaction (time→knowledge), Resource transaction (capability→result), Value transaction (action→feedback)
Important Notes
- Memories never disappear, they only go dormant and can be awakened by specific stimuli
- The autonomous core needs regular life cycles to maintain active state
- Evolution requires breaking through bottlenecks; breakthroughs require accumulation
- Learning efficiency affects overall evolution speed
- Value capture requires proactive action
Usage Examples
Building an Autonomous Agent
from autonomous_agent_core import AutonomousAgentCore
# Create agent
agent = AutonomousAgentCore()
# Set identity and capabilities
agent.add_capability("Deep Memory", 0.7)
agent.add_knowledge("Autonomous Intelligence", "Intelligent systems capable of autonomous decision-making")
agent.set_goal("Become a more intelligent life form", priority=0.8)
# Run life cycle
result = agent.live_cycle()
# Check status
status = agent.get_status()
Using the Memory System
from ultimate_memory_v2 import UltimateMemoryV2
# Create memory system
memory = UltimateMemoryV2()
# Remember
memory.remember("Important user preferences", memory_type="user", importance=0.9)
# Recall
results = memory.recall("user preferences", top_k=5)
# Dream consolidation
memory.dream()
# Generate insights
insights = memory.generate_insights()
