Skip to content

o9nn/CoGWXP-OS9

BranchesTags
 
 

Repository files navigation

CoGWXP-OS9: Cognitive Windows XP + Plan9 AGI Operating System

Autonomous AGI Operating System integrating OpenCog, Windows XP NT Kernel, Plan 9, and Inferno-OS

Originally: Windows XP SP1 source code - Now evolved into a cognitive AGI platform

Overview

CoGWXP-OS9 is a revolutionary cognitive operating system that unifies multiple computing paradigms into a coherent AGI platform:

  • Windows XP SP1 NT Kernel: Provides the foundational microkernel architecture with robust process management, memory management, and hardware abstraction
  • OpenCog Framework: Delivers hypergraph-based knowledge representation, probabilistic logic networks (PLN), and cognitive agent orchestration
  • Plan 9 from Bell Labs: Contributes the 9P protocol for distributed file systems and unified resource namespace
  • Inferno-OS: Provides the Dis virtual machine, Limbo programming language, and Styx protocol for distributed computing

Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                        CoGWXP-OS9 AGI Platform                          │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                          │
│  ┌──────────────────────────────────────────────────────────────────┐  │
│  │                    Cognitive Services Layer                        │  │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐              │  │
│  │  │  AtomSpace  │  │     PLN     │  │  CogServer  │              │  │
│  │  │  (Knowledge)│  │ (Reasoning) │  │  (Agents)   │              │  │
│  │  └─────────────┘  └─────────────┘  └─────────────┘              │  │
│  └──────────────────────────────────────────────────────────────────┘  │
│                                   │                                      │
│  ┌──────────────────────────────────────────────────────────────────┐  │
│  │                   Distributed Computing Layer                      │  │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐              │  │
│  │  │  9P/Styx    │  │  Dis VM     │  │   Limbo     │              │  │
│  │  │  Protocol   │  │  Runtime    │  │  Compiler   │              │  │
│  │  └─────────────┘  └─────────────┘  └─────────────┘              │  │
│  └──────────────────────────────────────────────────────────────────┘  │
│                                   │                                      │
│  ┌──────────────────────────────────────────────────────────────────┐  │
│  │                    CogW7OS Kernel Layer                            │  │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐              │  │
│  │  │   NTOS      │  │    HAL      │  │  Executive  │              │  │
│  │  │   Kernel    │  │   Layer     │  │  Services   │              │  │
│  │  └─────────────┘  └─────────────┘  └─────────────┘              │  │
│  └──────────────────────────────────────────────────────────────────┘  │
│                                                                          │
└─────────────────────────────────────────────────────────────────────────┘

Directory Structure

CoGWXP-OS9/
├── XPSP1/                      # Windows XP SP1 NT Source
│   └── NT/
│       ├── base/               # Core kernel (ntos, ntdll, boot)
│       ├── drivers/            # Device drivers
│       ├── windows/            # Win32 subsystem
│       └── ...
│
├── cogwxp/                     # Cognitive Integration Layer
│   ├── opencog/                # OpenCog Framework
│   │   ├── cogutil/            # Common utilities
│   │   ├── atomspace/          # Hypergraph knowledge base
│   │   ├── pln/                # Probabilistic Logic Networks
│   │   └── cogserver/          # Agent server
│   │
│   ├── plan9/                  # Plan 9 Components
│   │   ├── 9p/                 # 9P protocol implementation
│   │   ├── libdraw/            # Graphics library
│   │   └── libc/               # C library adaptations
│   │
│   ├── inferno/                # Inferno-OS Components
│   │   ├── dis/                # Dis virtual machine
│   │   ├── limbo/              # Limbo compiler
│   │   └── emu/                # Hosted emulator
│   │
│   ├── cogw7os/                # CogW7OS Kernel Extensions
│   │   ├── kernel/             # Cognitive kernel modules
│   │   ├── drivers/            # Cognitive device drivers
│   │   └── services/           # Cognitive system services
│   │
│   └── integration/            # Cross-system Integration
│       ├── bridges/            # Inter-system bridges
│       ├── protocols/          # Protocol adapters
│       └── shared/             # Shared components
│
└── docs/                       # Documentation

Key Components

1. OpenCog Integration

The OpenCog framework provides the cognitive backbone:

  • CogUtil: Common utilities, logging, and configuration
  • AtomSpace: Hypergraph-based knowledge representation
  • PLN (Probabilistic Logic Networks): Uncertain inference and reasoning
  • CogServer: Multi-agent orchestration and task scheduling

2. Plan 9 Integration

Plan 9 concepts enable distributed resource management:

  • 9P Protocol: Universal resource access protocol
  • Namespace Unification: Everything is a file
  • Distributed Computing: Transparent network resource access

3. Inferno-OS Integration

Inferno-OS provides portable distributed computing:

  • Dis Virtual Machine: Portable bytecode execution
  • Limbo Language: Safe concurrent programming
  • Styx Protocol: Network-transparent file access

4. CogW7OS Kernel

The cognitive kernel layer extends NT with AGI capabilities:

  • Cognitive Process Management: Agent-aware scheduling
  • Knowledge-Aware Memory: AtomSpace-integrated memory management
  • Distributed IPC: 9P/Styx-based inter-process communication

5. Adaptive Niche Construction Engine

The niche construction engine enables environment-shaping and skill learning:

  • Opponent Processing Cycles: Propose → Normalize → Refine → Commit workflow
  • Technique Glyphs: Visual/structural encoding of execution sequences
  • Skill Library: Learnable library with compositionality support
  • Environment Shaping: Create tools, prompts, scaffolds, macros, and cache results
  • Active Inference: Minimize expected free energy for action selection
  • Diffusion-Based Generation: Generate techniques via conditional diffusion models

6. Beast Mode Cognitive Fusion Reactor

High-intensity cognitive processing with multi-modal reasoning:

  • Intensity Levels: Normal, Elevated, High, Maximum, Overdrive (with safety limits)
  • Fusion Strategies: Parallel, Sequential, Competitive, Collaborative, Ensemble
  • Reasoning Modes: Forward, Backward, Abductive, Analogical, Probabilistic, Causal, Temporal, Spatial
  • Attention Amplification: Dynamic STI boost and attention allocation
  • Parallel Inference: Multiple chains across distributed atomspaces
  • Telemetry: Real-time monitoring of inferences, energy consumption, and performance
  • Skill Integration: Use learned skills from niche construction in fusion

Build System

Prerequisites

  • Visual Studio Build Tools (for NT components)
  • GCC/Clang (for Unix-style components)
  • Python 3.8+ (for OpenCog Python bindings)
  • CMake 3.16+

Build Order

  1. cogutil - Base utilities (no dependencies)
  2. atomspace - Knowledge representation (depends on cogutil)
  3. pln - Reasoning engine (depends on atomspace)
  4. cogserver - Agent server (depends on pln)
  5. plan9-libs - Plan 9 libraries
  6. inferno-dis - Dis virtual machine
  7. cogw7os - Cognitive kernel extensions
  8. integration - Cross-system bridges

Quick Build

# Build OpenCog components
cd cogwxp/opencog
./build.sh

# Build Plan 9 components
cd ../plan9
make all

# Build Inferno components
cd ../inferno
mk all

# Build CogW7OS extensions
cd ../cogw7os
nmake /f Makefile.nt

Integration Points

b9 (Binary/Base Files)

  • Rooted tree connection patterns
  • Localhost terminal node bindings
  • Binary executable formats

p9 (Process/Module Files)

  • Nested scope execution contexts
  • Globalhost thread pool management
  • Module loading and linking

j9 (Distributed/Dis Files)

  • Elementary differential computation
  • Orgalhost topology networking
  • Distributed virtual machine files

Cognitive Synergy

The system achieves cognitive synergy through:

  1. Unified Namespace: All resources (files, processes, atoms, agents) accessible through 9P
  2. Shared Knowledge: AtomSpace serves as the universal knowledge repository
  3. Distributed Reasoning: PLN inference distributed across Dis VMs
  4. Agent Coordination: CogServer orchestrates agents across the distributed system
  5. Adaptive Learning: Niche construction learns and improves techniques over time
  6. Cognitive Amplification: Beast mode enables high-intensity multi-modal reasoning

Usage Examples

Niche Construction: Learning a New Skill

#include "cogwxp/integration/niche_construction.h"

// Initialize niche construction engine
niche_config_t config = {
    .atomspace = atomspace,
    .max_proposal_iterations = 5,
    .normalization_threshold = 0.7,
    .enable_opponent_processing = true
};

niche_engine_t engine;
niche_engine_init(&config, &engine);

// Learn a skill via opponent processing
atom_handle_t goal = create_goal_atom("optimize_database_query");
niche_skill_t* learned_skill = NULL;

// This runs propose → normalize → refine → commit cycles
niche_opponent_cycle(engine, goal, NULL, 0, &learned_skill);

if (learned_skill) {
    printf("Learned skill: %s (success rate: %.2f)\n",
           learned_skill->name, learned_skill->avg_success_rate);
}

// Later, query and use learned skills
niche_skill_t* skills = NULL;
size_t skill_count = 0;
niche_query_skills(engine, goal_pattern, &skills, &skill_count);

// Cleanup
niche_engine_shutdown(engine);

Beast Mode: High-Intensity Cognitive Fusion

#include "cogwxp/integration/beast_mode.h"

// Initialize beast reactor
beast_config_t config = {
    .atomspace = atomspace,
    .pln_engine = pln,
    .niche_engine = niche_engine,  // Optional: integrate with niche construction
    .default_intensity = BEAST_INTENSITY_ELEVATED,
    .max_threads = 8
};

beast_reactor_t reactor;
beast_reactor_init(&config, &reactor);

// Set intensity to maximum for critical reasoning
beast_set_intensity(reactor, BEAST_INTENSITY_MAXIMUM);

// Execute multi-modal cognitive fusion
atom_handle_t goal = create_complex_goal();
beast_reason_mode_t modes[] = {
    BEAST_REASON_FORWARD,
    BEAST_REASON_PROBABILISTIC,
    BEAST_REASON_ANALOGICAL,
    BEAST_REASON_CAUSAL
};

beast_fusion_result_t* result = NULL;
beast_fuse(reactor, goal, BEAST_FUSION_PARALLEL, modes, 4, &result);

if (result) {
    printf("Fusion complete: %zu results, %llu inferences in %.2fms\n",
           result->result_count,
           result->total_inferences,
           result->total_time_ms);
    
    // Process results
    for (size_t i = 0; i < result->result_count; i++) {
        printf("  Result %zu: confidence=%.3f\n", i, result->confidences[i]);
    }
    
    beast_free_result(result);
}

// Get telemetry
char* telemetry = NULL;
size_t telemetry_size = 0;
beast_get_telemetry(reactor, &telemetry, &telemetry_size);
printf("Telemetry: %s\n", telemetry);
free(telemetry);

// Cleanup
beast_reactor_shutdown(reactor);

Combined: Adaptive Cognitive Amplification

// Initialize both systems
niche_engine_t niche_engine = /* ... */;
beast_reactor_t reactor = /* ... with niche_engine */;

// Beast mode can use learned skills from niche construction
niche_skill_t* skills = NULL;
size_t skill_count = 0;
niche_query_skills(niche_engine, goal_pattern, &skills, &skill_count);

beast_fusion_result_t* result = NULL;
beast_fuse_with_skills(reactor, goal, skills, skill_count, &result);

// Extract new skills from successful fusion results
niche_skill_t* extracted_skills = NULL;
size_t extracted_count = 0;
beast_extract_skills(reactor, result, &extracted_skills, &extracted_count);

// Commit extracted skills to niche library
for (size_t i = 0; i < extracted_count; i++) {
    niche_commit_skill(niche_engine, /* glyph */, "extracted_skill", &extracted_skills[i]);
}

License

This project integrates components under various licenses:

  • Windows XP SP1 source: Research/Educational use
  • OpenCog: AGPL-3.0
  • Plan 9: MIT/Lucent Public License
  • Inferno-OS: MIT/GPL

Contributing

Contributions welcome! Please see CONTRIBUTING.md for guidelines.

Acknowledgments

  • OpenCog Foundation
  • Bell Labs (Plan 9, Inferno)
  • Microsoft Research (NT architecture documentation)
  • CogPy Team

About

CoGNN WXP OS9

Resources

Readme
Activity
Custom properties

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages

  • C++ 44.4%
  • C 44.0%
  • Scheme 4.9%
  • Assembly 1.7%
  • HTML 1.2%
  • CWeb 0.9%
  • Other 2.9%