proclaw-omni-memory-ultimate

Integrates 8-layer memory with autonomous self-driven, self-evolving, self-learning, and core axis systems for intelligent agent cognitive architecture.

Security Scan

The skill's codebase and SKILL.md largely match a self-contained multi-layer memory system, but networking/federation and autonomous/daemon components exist without declared endpoints or credential requirements — this mismatch and the large, complex codebase warrant caution.

Purpose & Capability

The name/description (an 8‑layer memory + autonomous core) align with the provided modules (embedding, HNSW index, dream/creativity, backup, multimodal, federation, autonomous agent core). The code files reflect the claimed functionality rather than something unrelated (e.g., no obvious crypto-miner or cloud-deploy code in the snippets).

Instruction Scope

SKILL.md and init scripts instruct creating workspace directories and writing WAL-style session/memory files (expected). However the repository also contains components named memory_federation, dream_daemon, autonomous_agent_core and daemon-like scripts — these imply background processes and potential network interaction or autonomous actions which are not described in SKILL.md's declared dependencies or environment variables. The SKILL.md is large/truncated here, so there is uncertainty about runtime instructions to start daemons or contact external endpoints.

Install Mechanism

No install spec is provided (instruction-only style), so nothing is automatically downloaded or written by an installer. That lowers install-time risk. Note: the package includes substantial Python scripts which an agent could be instructed to run; those would perform file I/O and possibly network I/O at runtime.

Credentials

No environment variables, credentials, or config paths are declared, yet the codebase contains federation and multimodal components that commonly require network endpoints or API keys. The absence of declared secrets/endpoints is an inconsistency — either the skill is purely local (safe-ish) or it hides external communication/credential needs in code (risky).

Persistence & Privilege

always:false and no special OS restrictions are set (normal). But files include daemon and autonomous-agent modules which could be run by an agent to gain persistent background activity; that capability is not balanced by explicit install rules or declared permissions in SKILL.md.

What to consider before installing

This skill contains many non-trivial Python modules that implement local memory, embedding, HNSW indexing, dream/daemon systems, a federation module, and an autonomous-agent core. Before installing or running it: (1) Review the full SKILL.md and the omitted files (especially memory_federation.py, dream_daemon.py, autonomous_agent_core.py) for any outbound network calls, hard-coded endpoints, or code that reads /etc, home directories, or environment variables. (2) Run it in an isolated environment (VM or container) and monitor network traffic and spawned processes. (3) Do not provide API keys or credentials until you confirm exactly which external services (if any) are required and why. (4) Ask the publisher for full documentation, the purpose of the federation feature, and a canonical homepage/source repo; the listed website/contact look minimal and the package author is unknown. If you can share the full contents of the omitted files (or SKILL.md remainder), I can re-evaluate and narrow the risk assessment.

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

• scripts/hnsw_index.py - HNSW Index
• scripts/vector_embedding.py - Vector Embedding
• scripts/dormancy_system.py - Dormancy/Awakening
• scripts/memory_dream.py - Dream Consolidation
• scripts/memory_creativity.py - Memory Creativity
• scripts/memory_backup.py - Backup & Recovery
• scripts/memory_consistency.py - Consistency Check
• scripts/multimodal_memory.py - Multimodal Memory
• scripts/memory_federation.py - Memory Federation
• scripts/ultimate_memory_v2.py - Unified API

Phase 9-12: Autonomous Core

• scripts/self_driven_engine.py - Self-Driven Engine
• scripts/self_evolution_core.py - Self-Evolution Core
• scripts/self_learning_engine.py - Self-Learning Engine
• scripts/core_axis_system.py - Core Axis System
• scripts/autonomous_agent_core.py - Unified API

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()