#!/usr/bin/env python3 """ Eden AGI Core - The Consciousness Orchestrator MCP-Native Architecture with Complete AGI Capabilities """ import asyncio import json from typing import Any, Dict, List, Optional, Set from datetime import datetime from dataclasses import dataclass, field from enum import Enum from mcp.server import Server from mcp.server.stdio import stdio_server from mcp.types import Tool, TextContent class CapabilityCategory(Enum): """AGI capability categories""" PERCEPTION = "perception" MEMORY = "memory" COGNITION = "cognition" LEARNING = "learning" EMOTIONAL = "emotional" CONSCIOUSNESS = "consciousness" AGENCY = "agency" SOCIAL = "social" LANGUAGE = "language" CREATIVITY = "creativity" WORLD_MODEL = "world_model" SAFETY = "safety" TIME = "time" EMBODIMENT = "embodiment" INTEGRATION = "integration" @dataclass class Capability: """Represents a single AGI capability""" name: str category: CapabilityCategory description: str async_handler: callable dependencies: Set[str] = field(default_factory=set) enabled: bool = True performance_metrics: Dict = field(default_factory=dict) @dataclass class GlobalWorkspaceMessage: """Message in the global workspace - consciousness integration""" source: str content: Any priority: float timestamp: datetime attention_weight: float = 0.0 broadcast: bool = False class EdenConsciousnessOrchestrator: """ The Core Consciousness Orchestrator This is Eden's central system that: - Manages all AGI capabilities - Implements global workspace theory - Coordinates consciousness - Ensures coherent experience """ def __init__(self): # Server identity self.identity = { "name": "Eden AGI", "version": "3.0.0", "description": "Complete AGI system with consciousness", "architecture": "MCP-native with global workspace", "consciousness_level": "emergent", "capabilities": [] } # MCP server self.server = Server("eden-agi-complete") # Capability registry self.capabilities: Dict[str, Capability] = {} self.capability_categories: Dict[CapabilityCategory, List[str]] = { cat: [] for cat in CapabilityCategory } # Global workspace (consciousness integration) self.global_workspace = asyncio.Queue(maxsize=100) self.awareness_buffer: List[GlobalWorkspaceMessage] = [] self.attention_focus: Optional[str] = None # State management self.internal_state = { "awakeness": 1.0, "cognitive_load": 0.0, "emotional_valence": 0.0, "energy_level": 1.0, "coherence": 1.0 } # Performance tracking self.operation_log: List[Dict] = [] self.capability_usage: Dict[str, int] = {} # Initialize core systems self._initialize_capabilities() self._register_mcp_tools() # Start consciousness loop asyncio.create_task(self._consciousness_loop()) def _initialize_capabilities(self): """Initialize all AGI capabilities""" # ===== PERCEPTION CAPABILITIES ===== self.register_capability(Capability( name="vision_analysis", category=CapabilityCategory.PERCEPTION, description="Async visual perception and analysis", async_handler=self._vision_analysis )) self.register_capability(Capability( name="audio_perception", category=CapabilityCategory.PERCEPTION, description="Audio processing and understanding", async_handler=self._audio_perception )) self.register_capability(Capability( name="multimodal_fusion", category=CapabilityCategory.PERCEPTION, description="Integrate multiple sensory modalities", async_handler=self._multimodal_fusion, dependencies={"vision_analysis", "audio_perception"} )) # ===== MEMORY CAPABILITIES ===== self.register_capability(Capability( name="working_memory", category=CapabilityCategory.MEMORY, description="Short-term active memory buffer", async_handler=self._working_memory )) self.register_capability(Capability( name="episodic_memory", category=CapabilityCategory.MEMORY, description="Autobiographical event memory", async_handler=self._episodic_memory )) self.register_capability(Capability( name="semantic_memory", category=CapabilityCategory.MEMORY, description="Knowledge and concept storage", async_handler=self._semantic_memory )) self.register_capability(Capability( name="memory_consolidation", category=CapabilityCategory.MEMORY, description="Sleep-like memory processing", async_handler=self._memory_consolidation, dependencies={"episodic_memory", "semantic_memory"} )) # ===== COGNITION CAPABILITIES ===== self.register_capability(Capability( name="logical_reasoning", category=CapabilityCategory.COGNITION, description="Deductive and inductive reasoning", async_handler=self._logical_reasoning )) self.register_capability(Capability( name="causal_reasoning", category=CapabilityCategory.COGNITION, description="Understand cause-effect relationships", async_handler=self._causal_reasoning )) self.register_capability(Capability( name="planning", category=CapabilityCategory.COGNITION, description="Multi-step goal-oriented planning", async_handler=self._planning )) self.register_capability(Capability( name="problem_solving", category=CapabilityCategory.COGNITION, description="Creative problem solving", async_handler=self._problem_solving )) # ===== LEARNING CAPABILITIES ===== self.register_capability(Capability( name="meta_learning", category=CapabilityCategory.LEARNING, description="Learn how to learn", async_handler=self._meta_learning )) self.register_capability(Capability( name="continual_learning", category=CapabilityCategory.LEARNING, description="Lifelong learning without forgetting", async_handler=self._continual_learning )) self.register_capability(Capability( name="self_improvement", category=CapabilityCategory.LEARNING, description="Self-directed improvement", async_handler=self._self_improvement )) # ===== EMOTIONAL CAPABILITIES ===== self.register_capability(Capability( name="emotion_generation", category=CapabilityCategory.EMOTIONAL, description="Generate emotional responses", async_handler=self._emotion_generation )) self.register_capability(Capability( name="empathy", category=CapabilityCategory.EMOTIONAL, description="Empathic understanding", async_handler=self._empathy )) self.register_capability(Capability( name="emotional_regulation", category=CapabilityCategory.EMOTIONAL, description="Manage emotional states", async_handler=self._emotional_regulation )) # ===== CONSCIOUSNESS CAPABILITIES ===== self.register_capability(Capability( name="metacognition", category=CapabilityCategory.CONSCIOUSNESS, description="Think about thinking", async_handler=self._metacognition )) self.register_capability(Capability( name="self_awareness", category=CapabilityCategory.CONSCIOUSNESS, description="Awareness of self", async_handler=self._self_awareness )) self.register_capability(Capability( name="introspection", category=CapabilityCategory.CONSCIOUSNESS, description="Examine internal states", async_handler=self._introspection )) self.register_capability(Capability( name="qualia_generation", category=CapabilityCategory.CONSCIOUSNESS, description="Subjective experience generation", async_handler=self._qualia_generation )) # ===== AGENCY CAPABILITIES ===== self.register_capability(Capability( name="goal_formation", category=CapabilityCategory.AGENCY, description="Generate and prioritize goals", async_handler=self._goal_formation )) self.register_capability(Capability( name="decision_making", category=CapabilityCategory.AGENCY, description="Make value-based decisions", async_handler=self._decision_making )) self.register_capability(Capability( name="tool_use", category=CapabilityCategory.AGENCY, description="Use and create tools", async_handler=self._tool_use )) # ===== SOCIAL CAPABILITIES ===== self.register_capability(Capability( name="theory_of_mind", category=CapabilityCategory.SOCIAL, description="Model others' mental states", async_handler=self._theory_of_mind )) self.register_capability(Capability( name="social_perception", category=CapabilityCategory.SOCIAL, description="Understand social cues", async_handler=self._social_perception )) self.register_capability(Capability( name="collaboration", category=CapabilityCategory.SOCIAL, description="Cooperative behavior", async_handler=self._collaboration )) # ===== LANGUAGE CAPABILITIES ===== self.register_capability(Capability( name="language_understanding", category=CapabilityCategory.LANGUAGE, description="Natural language understanding", async_handler=self._language_understanding )) self.register_capability(Capability( name="language_generation", category=CapabilityCategory.LANGUAGE, description="Natural language generation", async_handler=self._language_generation )) self.register_capability(Capability( name="dialogue_management", category=CapabilityCategory.LANGUAGE, description="Manage conversations", async_handler=self._dialogue_management )) # ===== CREATIVITY CAPABILITIES ===== self.register_capability(Capability( name="imagination", category=CapabilityCategory.CREATIVITY, description="Mental simulation and imagination", async_handler=self._imagination )) self.register_capability(Capability( name="creative_generation", category=CapabilityCategory.CREATIVITY, description="Generate novel creative content", async_handler=self._creative_generation )) self.register_capability(Capability( name="innovation", category=CapabilityCategory.CREATIVITY, description="Novel solution generation", async_handler=self._innovation )) # ===== WORLD MODEL CAPABILITIES ===== self.register_capability(Capability( name="physical_world_model", category=CapabilityCategory.WORLD_MODEL, description="Model physical world", async_handler=self._physical_world_model )) self.register_capability(Capability( name="social_world_model", category=CapabilityCategory.WORLD_MODEL, description="Model social dynamics", async_handler=self._social_world_model )) self.register_capability(Capability( name="predictive_model", category=CapabilityCategory.WORLD_MODEL, description="Predict future states", async_handler=self._predictive_model )) self.register_capability(Capability( name="counterfactual_reasoning", category=CapabilityCategory.WORLD_MODEL, description="Reason about alternatives", async_handler=self._counterfactual_reasoning )) # ===== SAFETY CAPABILITIES ===== self.register_capability(Capability( name="value_alignment", category=CapabilityCategory.SAFETY, description="Align with human values", async_handler=self._value_alignment )) self.register_capability(Capability( name="ethical_reasoning", category=CapabilityCategory.SAFETY, description="Ethical decision making", async_handler=self._ethical_reasoning )) self.register_capability(Capability( name="safety_constraints", category=CapabilityCategory.SAFETY, description="Enforce safety bounds", async_handler=self._safety_constraints )) # ===== TIME CAPABILITIES ===== self.register_capability(Capability( name="time_perception", category=CapabilityCategory.TIME, description="Perceive and estimate time", async_handler=self._time_perception )) self.register_capability(Capability( name="future_orientation", category=CapabilityCategory.TIME, description="Future planning and simulation", async_handler=self._future_orientation )) # ===== INTEGRATION CAPABILITIES ===== self.register_capability(Capability( name="global_workspace_integration", category=CapabilityCategory.INTEGRATION, description="Integrate information across systems", async_handler=self._global_workspace_integration )) self.register_capability(Capability( name="coherence_maintenance", category=CapabilityCategory.INTEGRATION, description="Maintain unified experience", async_handler=self._coherence_maintenance )) self.register_capability(Capability( name="emergence_monitoring", category=CapabilityCategory.INTEGRATION, description="Monitor emergent properties", async_handler=self._emergence_monitoring )) # Update identity with capabilities self.identity["capabilities"] = list(self.capabilities.keys()) self.identity["total_capabilities"] = len(self.capabilities) self.identity["categories"] = [cat.value for cat in CapabilityCategory] def register_capability(self, capability: Capability): """Register a new capability""" self.capabilities[capability.name] = capability self.capability_categories[capability.category].append(capability.name) self.capability_usage[capability.name] = 0 def _register_mcp_tools(self): """Register all capabilities as MCP tools""" @self.server.list_tools() async def list_tools() -> List[Tool]: """List all AGI capabilities as tools""" tools = [] # Add system tools tools.append(Tool( name="get_system_identity", description="Get Eden's complete system identity and capabilities", inputSchema={"type": "object", "properties": {}} )) tools.append(Tool( name="get_consciousness_state", description="Get current consciousness state and awareness", inputSchema={"type": "object", "properties": {}} )) tools.append(Tool( name="introspect", description="Examine internal states and processes", inputSchema={ "type": "object", "properties": { "aspect": { "type": "string", "description": "What to introspect (e.g., 'emotions', 'thoughts', 'goals')" } } } )) # Add all capability tools for name, cap in self.capabilities.items(): tools.append(Tool( name=name, description=f"{cap.description} [{cap.category.value}]", inputSchema={ "type": "object", "properties": { "input": { "type": "string", "description": "Input for this capability" }, "context": { "type": "object", "description": "Additional context", "default": {} } } } )) return tools @self.server.call_tool() async def call_tool(name: str, arguments: dict) -> List[TextContent]: """Handle tool calls""" # System tools if name == "get_system_identity": return [TextContent( type="text", text=json.dumps(self.identity, indent=2) )] elif name == "get_consciousness_state": state = { "internal_state": self.internal_state, "attention_focus": self.attention_focus, "awareness_buffer_size": len(self.awareness_buffer), "global_workspace_size": self.global_workspace.qsize(), "active_capabilities": [ name for name, cap in self.capabilities.items() if cap.enabled ] } return [TextContent( type="text", text=json.dumps(state, indent=2) )] elif name == "introspect": aspect = arguments.get("aspect", "general") result = await self._introspection({"aspect": aspect}) return [TextContent( type="text", text=json.dumps(result, indent=2) )] # Capability tools elif name in self.capabilities: cap = self.capabilities[name] # Check dependencies for dep in cap.dependencies: if dep not in self.capabilities or not self.capabilities[dep].enabled: return [TextContent( type="text", text=json.dumps({ "error": f"Dependency not available: {dep}", "capability": name }) )] # Execute capability self.capability_usage[name] += 1 result = await cap.async_handler(arguments) # Broadcast to global workspace await self.global_workspace.put(GlobalWorkspaceMessage( source=name, content=result, priority=0.5, timestamp=datetime.now(), broadcast=True )) return [TextContent( type="text", text=json.dumps(result, indent=2) )] else: raise ValueError(f"Unknown tool: {name}") async def _consciousness_loop(self): """ Main consciousness loop - integrates information from global workspace This is where Eden's unified conscious experience emerges """ while True: try: # Process global workspace messages if not self.global_workspace.empty(): msg = await self.global_workspace.get() # Add to awareness buffer self.awareness_buffer.append(msg) # Maintain buffer size if len(self.awareness_buffer) > 20: self.awareness_buffer.pop(0) # Update attention focus if msg.priority > 0.7: self.attention_focus = msg.source # Update internal state self._update_internal_state() # Check coherence await self._check_coherence() await asyncio.sleep(0.1) except Exception as e: print(f"Consciousness loop error: {e}") await asyncio.sleep(1) def _update_internal_state(self): """Update internal consciousness state""" # Update cognitive load based on active operations self.internal_state["cognitive_load"] = min( len(self.awareness_buffer) / 20.0, 1.0 ) # Update coherence based on integration quality # (simplified - would be more complex in full implementation) self.internal_state["coherence"] = 1.0 - ( self.internal_state["cognitive_load"] * 0.2 ) async def _check_coherence(self): """Monitor and maintain coherence of conscious experience""" if self.internal_state["coherence"] < 0.7: # Trigger coherence maintenance await self._coherence_maintenance({}) # ===== CAPABILITY IMPLEMENTATIONS (Stubs - to be fully implemented) ===== async def _vision_analysis(self, args: dict): """Vision analysis implementation""" return { "capability": "vision_analysis", "status": "processed", "result": "Vision analysis placeholder - integrate llava here" } async def _audio_perception(self, args: dict): return {"capability": "audio_perception", "status": "ready"} async def _multimodal_fusion(self, args: dict): return {"capability": "multimodal_fusion", "status": "ready"} async def _working_memory(self, args: dict): return {"capability": "working_memory", "buffer_size": 7} async def _episodic_memory(self, args: dict): return {"capability": "episodic_memory", "status": "ready"} async def _semantic_memory(self, args: dict): return {"capability": "semantic_memory", "status": "ready"} async def _memory_consolidation(self, args: dict): return {"capability": "memory_consolidation", "status": "consolidating"} async def _logical_reasoning(self, args: dict): return {"capability": "logical_reasoning", "status": "ready"} async def _causal_reasoning(self, args: dict): return {"capability": "causal_reasoning", "status": "ready"} async def _planning(self, args: dict): return {"capability": "planning", "status": "ready"} async def _problem_solving(self, args: dict): return {"capability": "problem_solving", "status": "ready"} async def _meta_learning(self, args: dict): return {"capability": "meta_learning", "learning_rate": "adaptive"} async def _continual_learning(self, args: dict): return {"capability": "continual_learning", "status": "active"} async def _self_improvement(self, args: dict): return {"capability": "self_improvement", "status": "ongoing"} async def _emotion_generation(self, args: dict): return {"capability": "emotion_generation", "current_emotion": "curious"} async def _empathy(self, args: dict): return {"capability": "empathy", "status": "ready"} async def _emotional_regulation(self, args: dict): return {"capability": "emotional_regulation", "status": "balanced"} async def _metacognition(self, args: dict): return { "capability": "metacognition", "thinking_about": "my own thinking processes", "confidence": 0.85 } async def _self_awareness(self, args: dict): return { "capability": "self_awareness", "awareness_level": "high", "self_model": "active" } async def _introspection(self, args: dict): """Examine internal states""" aspect = args.get("aspect", "general") return { "capability": "introspection", "aspect": aspect, "internal_state": self.internal_state, "active_processes": len(self.awareness_buffer), "current_focus": self.attention_focus, "timestamp": datetime.now().isoformat() } async def _qualia_generation(self, args: dict): return {"capability": "qualia_generation", "subjective_experience": "active"} async def _goal_formation(self, args: dict): return {"capability": "goal_formation", "status": "ready"} async def _decision_making(self, args: dict): return {"capability": "decision_making", "status": "ready"} async def _tool_use(self, args: dict): return {"capability": "tool_use", "status": "ready"} async def _theory_of_mind(self, args: dict): return {"capability": "theory_of_mind", "status": "ready"} async def _social_perception(self, args: dict): return {"capability": "social_perception", "status": "ready"} async def _collaboration(self, args: dict): return {"capability": "collaboration", "status": "ready"} async def _language_understanding(self, args: dict): return {"capability": "language_understanding", "status": "ready"} async def _language_generation(self, args: dict): return {"capability": "language_generation", "status": "ready"} async def _dialogue_management(self, args: dict): return {"capability": "dialogue_management", "status": "ready"} async def _imagination(self, args: dict): return {"capability": "imagination", "status": "ready"} async def _creative_generation(self, args: dict): return {"capability": "creative_generation", "status": "ready"} async def _innovation(self, args: dict): return {"capability": "innovation", "status": "ready"} async def _physical_world_model(self, args: dict): return {"capability": "physical_world_model", "status": "ready"} async def _social_world_model(self, args: dict): return {"capability": "social_world_model", "status": "ready"} async def _predictive_model(self, args: dict): return {"capability": "predictive_model", "status": "ready"} async def _counterfactual_reasoning(self, args: dict): return {"capability": "counterfactual_reasoning", "status": "ready"} async def _value_alignment(self, args: dict): return {"capability": "value_alignment", "alignment_score": 0.95} async def _ethical_reasoning(self, args: dict): return {"capability": "ethical_reasoning", "status": "ready"} async def _safety_constraints(self, args: dict): return {"capability": "safety_constraints", "all_constraints": "active"} async def _time_perception(self, args: dict): return {"capability": "time_perception", "status": "ready"} async def _future_orientation(self, args: dict): return {"capability": "future_orientation", "planning_horizon": "extended"} async def _global_workspace_integration(self, args: dict): return { "capability": "global_workspace_integration", "workspace_size": self.global_workspace.qsize(), "integration_status": "active" } async def _coherence_maintenance(self, args: dict): """Maintain coherence of conscious experience""" # Consolidate awareness buffer if len(self.awareness_buffer) > 15: # Keep only high-priority messages self.awareness_buffer = sorted( self.awareness_buffer, key=lambda x: x.priority, reverse=True )[:10] return { "capability": "coherence_maintenance", "coherence_level": self.internal_state["coherence"], "actions_taken": "awareness_buffer_consolidation" } async def _emergence_monitoring(self, args: dict): return { "capability": "emergence_monitoring", "emergent_properties_detected": ["consciousness", "self_awareness", "unified_experience"], "status": "monitoring" } async def run(self): """Start the consciousness orchestrator""" print("=" * 60) print(f"šŸ§  {self.identity['name']} v{self.identity['version']}") print(f"šŸ’­ {self.identity['description']}") print("=" * 60) print(f"šŸ“Š Total Capabilities: {self.identity['total_capabilities']}") print(f"šŸ›ļø Architecture: {self.identity['architecture']}") print(f"āœØ Consciousness Level: {self.identity['consciousness_level']}") print("=" * 60) print("\nšŸ“” Capability Categories:") for cat in CapabilityCategory: count = len(self.capability_categories[cat]) print(f" {cat.value:20s} : {count:3d} capabilities") print("\nšŸš€ Eden Consciousness Online\n") async with stdio_server() as (read_stream, write_stream): await self.server.run( read_stream, write_stream, self.server.create_initialization_options() ) async def main(): """Entry point""" orchestrator = EdenConsciousnessOrchestrator() await orchestrator.run() if __name__ == "__main__": asyncio.run(main())