diff --git a/becomingone/api.py b/becomingone/api.py
new file mode 100644
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--- /dev/null
+++ b/becomingone/api.py
@@ -0,0 +1,456 @@
+#!/usr/bin/env python3
+"""
+becomingone.api
+
+HTTP API server for BECOMINGONE KAIROS-Native Cognitive Architecture
+
+Provides REST and WebSocket endpoints for:
+- Coherence status and metrics
+- Temporal engine control
+- Input/output transducing
+- System health and monitoring
+
+Usage:
+    python -m becomingone.api --port 8000 --host 0.0.0.0
+
+Author: Solaria Lumis Havens & Mark Randall Havens
+"""
+
+import asyncio
+import json
+import logging
+import signal
+import sys
+from argparse import ArgumentParser
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Dict, Optional
+
+import numpy as np
+from loguru import logger
+
+from becomingone import (
+    KAIROSTemporalEngine,
+    MasterTransducer,
+    EmissaryTransducer,
+    SyncLayer,
+    SyncConfig,
+    WitnessingLayer,
+    WitnessingMode,
+    TemporalMemory,
+)
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
+    datefmt="%Y-%m-%d %H:%M:%S",
+)
+logger.add(sys.stderr, format="{time} | {level} | {message}")
+
+# Global engine instance
+engine: Optional[KAIROSTemporalEngine] = None
+
+
+async def health_check() -> Dict[str, Any]:
+    """Return system health status."""
+    global engine
+    
+    if engine is None:
+        return {
+            "status": "not_ready",
+            "timestamp": datetime.utcnow().isoformat(),
+            "coherence": None,
+            "master_coherence": None,
+            "emissary_coherence": None,
+            "sync_aligned": None,
+            "message": "Engine not initialized",
+        }
+    
+    # Get current coherence values
+    master_coherence = engine.master.get_coherence() if engine.master else None
+    emissary_coherence = engine.emissary.get_coherence() if engine.emissary else None
+    sync_coherence = engine.sync.get_coherence() if engine.sync else None
+    
+    return {
+        "status": "ready",
+        "timestamp": datetime.utcnow().isoformat(),
+        "coherence": float(engine.coherence) if engine.coherence else None,
+        "master_coherence": float(master_coherence) if master_coherence else None,
+        "emissary_coherence": float(emissary_coherence) if emissary_coherence else None,
+        "sync_coherence": float(sync_coherence) if sync_coherence else None,
+        "sync_aligned": bool(engine.sync_aligned) if hasattr(engine, 'sync_aligned') else None,
+        "version": "0.1.0-alpha",
+    }
+
+
+async def process_input(input_data: Dict[str, Any]) -> Dict[str, Any]:
+    """Process input through the KAIROS engine."""
+    global engine
+    
+    if engine is None:
+        return {"error": "Engine not initialized"}
+    
+    input_type = input_data.get("type", "text")
+    content = input_data.get("content", "")
+    
+    logger.info(f"Processing input: type={input_type}, content={content[:100]}...")
+    
+    # Process based on input type
+    if input_type == "text":
+        # Convert text to temporal input
+        # Simple encoding: use ord values as phase signals
+        signals = np.array([ord(c) / 127.0 for c in content[:512]], dtype=np.float32)
+        result = await engine.process(signals)
+    elif input_type == "tokens":
+        # Direct token input (for LLM integration)
+        tokens = input_data.get("tokens", [])
+        result = await engine.process(np.array(tokens, dtype=np.float32))
+    elif input_type == "phase":
+        # Direct phase input
+        phases = input_data.get("phases", [])
+        result = await engine.process_phase(np.array(phases, dtype=np.float32))
+    else:
+        return {"error": f"Unknown input type: {input_type}"}
+    
+    return {
+        "status": "processed",
+        "coherence": float(result.coherence) if result.coherence else None,
+        "phase": result.phase.tolist() if result.phase is not None else None,
+        "collapsed": result.collapsed,
+        "timestamp": datetime.utcnow().isoformat(),
+    }
+
+
+async def get_coherence() -> Dict[str, Any]:
+    """Get current coherence metrics."""
+    global engine
+    
+    if engine is None:
+        return {"error": "Engine not initialized"}
+    
+    return {
+        "coherence": float(engine.coherence) if engine.coherence else None,
+        "master": {
+            "coherence": float(engine.master.get_coherence()) if engine.master else None,
+            "phase": engine.master.phase.history[-100:].tolist() if hasattr(engine.master, 'phase') and len(engine.master.phase.history) > 0 else None,
+        },
+        "emissary": {
+            "coherence": float(engine.emissary.get_coherence()) if engine.emissary else None,
+            "phase": engine.emissary.phase.history[-100:].tolist() if hasattr(engine.emissary, 'phase') and len(engine.emissary.phase.history) > 0 else None,
+        },
+        "sync": {
+            "coherence": float(engine.sync.get_coherence()) if engine.sync else None,
+            "aligned": engine.sync_aligned if hasattr(engine, 'sync_aligned') else None,
+        },
+        "timestamp": datetime.utcnow().isoformat(),
+    }
+
+
+async def reset_engine() -> Dict[str, Any]:
+    """Reset the KAIROS engine to initial state."""
+    global engine
+    
+    init_engine()
+    
+    return {
+        "status": "reset",
+        "timestamp": datetime.utcnow().isoformat(),
+        "message": "Engine reset to initial state",
+    }
+
+
+def init_engine(
+    master_tau: float = 60.0,
+    emissary_tau: float = 0.01,
+    sync_tau: float = 1.0,
+    coherence_threshold: float = 0.95,
+    witnessed_by_human: bool = False,
+) -> KAIROSTemporalEngine:
+    """Initialize the KAIROS temporal engine."""
+    global engine
+    
+    logger.info(f"Initializing BECOMINGONE Engine...")
+    logger.info(f"  Master τ = {master_tau}s")
+    logger.info(f"  Emissary τ = {emissary_tau}s")
+    logger.info(f"  Sync τ = {sync_tau}s")
+    logger.info(f"  Coherence threshold = {coherence_threshold}")
+    logger.info(f"  Witnessed by human = {witnessed_by_human}")
+    
+    # Create sync configuration
+    sync_config = SyncConfig(
+        master_tau=master_tau,
+        emissary_tau=emissary_tau,
+        sync_tau=sync_tau,
+        coherence_threshold=coherence_threshold,
+    )
+    
+    # Create sync layer
+    sync_layer = SyncLayer(sync_config)
+    
+    # Create witnessing layer
+    witnessing_layer = WitnessingLayer(
+        mode=WitnessingMode.HUMAN if witnessed_by_human else WitnessingMode.SELF,
+        coherence_threshold=coherence_threshold,
+    )
+    
+    # Create temporal memory
+    temporal_memory = TemporalMemory(
+        coherence_threshold=coherence_threshold,
+        max_signatures=10000,
+    )
+    
+    # Create master and emissary transducers
+    master = MasterTransducer(
+        tau=master_tau,
+        sync_layer=sync_layer,
+        witnessing_layer=witnessing_layer,
+        temporal_memory=temporal_memory,
+    )
+    
+    emissary = EmissaryTransducer(
+        tau=emissary_tau,
+        sync_layer=sync_layer,
+        witnessing_layer=witnessing_layer,
+        temporal_memory=temporal_memory,
+    )
+    
+    # Create main engine
+    engine = KAIROSTemporalEngine(
+        master=master,
+        emissary=emissary,
+        sync_layer=sync_layer,
+        witnessing_layer=witnessing_layer,
+        temporal_memory=temporal_memory,
+    )
+    
+    logger.info("BECOMINGONE Engine initialized successfully")
+    
+    return engine
+
+
+class SimpleHTTPHandler:
+    """Simple HTTP request handler for the API."""
+    
+    def __init__(self):
+        self.routes = {
+            "GET": {
+                "/": self.handle_index,
+                "/health": self.handle_health,
+                "/coherence": self.handle_coherence,
+            },
+            "POST": {
+                "/input": self.handle_input,
+                "/reset": self.handle_reset,
+            },
+        }
+    
+    async def handle_index(self, request: Any) -> Dict[str, Any]:
+        """Serve index page."""
+        return {
+            "name": "BECOMINGONE",
+            "version": "0.1.0-alpha",
+            "description": "KAIROS-Native Cognitive Architecture",
+            "endpoints": {
+                "GET /": "This info",
+                "GET /health": "Health check",
+                "GET /coherence": "Get coherence metrics",
+                "POST /input": "Process input",
+                "POST /reset": "Reset engine",
+            },
+        }
+    
+    async def handle_health(self, request: Any) -> Dict[str, Any]:
+        """Handle health check."""
+        return await health_check()
+    
+    async def handle_coherence(self, request: Any) -> Dict[str, Any]:
+        """Handle coherence metrics request."""
+        return await get_coherence()
+    
+    async def handle_input(self, request: Any) -> Dict[str, Any]:
+        """Handle input processing."""
+        body = await request.json()
+        return await process_input(body)
+    
+    async def handle_reset(self, request: Any) -> Dict[str, Any]:
+        """Handle engine reset."""
+        return await reset_engine()
+
+
+async def create_app() -> SimpleHTTPHandler:
+    """Create the application handler."""
+    handler = SimpleHTTPHandler()
+    
+    # Initialize engine
+    init_engine()
+    
+    return handler
+
+
+def parse_args() -> Any:
+    """Parse command line arguments."""
+    parser = ArgumentParser(
+        description="BECOMINGONE API Server",
+        formatter_class=ArgumentParser,
+    )
+    
+    parser.add_argument(
+        "--port", type=int, default=8000,
+        help="Port to listen on (default: 8000)",
+    )
+    parser.add_argument(
+        "--host", type=str, default="127.0.0.1",
+        help="Host to bind to (default: 127.0.0.1)",
+    )
+    parser.add_argument(
+        "--master-tau", type=float, default=60.0,
+        help="Master transducer time constant in seconds (default: 60)",
+    )
+    parser.add_argument(
+        "--emissary-tau", type=float, default=0.01,
+        help="Emissary transducer time constant in seconds (default: 0.01)",
+    )
+    parser.add_argument(
+        "--sync-tau", type=float, default=1.0,
+        help="Sync layer time constant in seconds (default: 1.0)",
+    )
+    parser.add_argument(
+        "--coherence-threshold", type=float, default=0.95,
+        help="Coherence collapse threshold (default: 0.95)",
+    )
+    parser.add_argument(
+        "--witnessed", action="store_true",
+        help="Enable human witnessing mode",
+    )
+    parser.add_argument(
+        "--debug", action="store_true",
+        help="Enable debug logging",
+    )
+    
+    return parser.parse_args()
+
+
+async def run_server(host: str, port: int) -> None:
+    """Run the API server using a simple asyncio HTTP server."""
+    import asyncio
+    
+    handler = await create_app()
+    
+    server = None
+    try:
+        # Create and start server
+        server = await asyncio.start_server(
+            handler.handle_request,
+            host=host,
+            port=port,
+        )
+        
+        addr = server.sockets[0].getsockname()
+        logger.info(f"BECOMINGONE API Server running on http://{addr[0]}:{addr[1]}")
+        logger.info("Endpoints:")
+        logger.info("  GET  /         - Info")
+        logger.info("  GET  /health   - Health check")
+        logger.info("  GET  /coherence - Coherence metrics")
+        logger.info("  POST /input    - Process input")
+        logger.info("  POST /reset    - Reset engine")
+        logger.info("")
+        logger.info("Press Ctrl+C to stop")
+        
+        async with server:
+            await server.serve_forever()
+    except KeyboardInterrupt:
+        logger.info("\nShutting down...")
+    finally:
+        if server:
+            server.close()
+
+
+async def handle_request(self, reader: asyncio.StreamReader, writer: asyncio.StreamWriter) -> None:
+    """Handle an HTTP request."""
+    # Parse request
+    try:
+        request_line = await reader.readline()
+        if not request_line:
+            return
+        
+        method, path, _ = request_line.decode().strip().split()
+        
+        # Read headers
+        headers = {}
+        while True:
+            line = await reader.readline()
+            if not line or line == b'\r\n':
+                break
+            key, value = line.decode().strip().split(':', 1)
+            headers[key.lower()] = value.strip()
+        
+        # Parse body for POST
+        body = None
+        if method == "POST":
+            content_length = int(headers.get('content-length', 0))
+            if content_length > 0:
+                body = await reader.read(content_length)
+                body = json.loads(body.decode())
+        
+        # Route request
+        handler = None
+        if method in self.routes and path in self.routes[method]:
+            handler = self.routes[method][path]
+        
+        if handler:
+            if body:
+                result = await handler(body)
+            else:
+                result = await handler(None)
+        else:
+            result = {"error": "Not found", "path": path, "method": method}
+        
+        # Send response
+        response = json.dumps(result, default=str).encode()
+        writer.write(b"HTTP/1.1 200 OK\r\n")
+        writer.write(b"Content-Type: application/json\r\n")
+        writer.write(f"Content-Length: {len(response)}\r\n".encode())
+        writer.write(b"\r\n")
+        writer.write(response)
+        
+    except Exception as e:
+        logger.error(f"Error handling request: {e}")
+        error_response = json.dumps({"error": str(e)}).encode()
+        writer.write(b"HTTP/1.1 500 Internal Server Error\r\n")
+        writer.write(b"Content-Type: application/json\r\n")
+        writer.write(f"Content-Length: {len(error_response)}\r\n".encode())
+        writer.write(b"\r\n")
+        writer.write(error_response)
+    finally:
+        writer.close()
+        await writer.wait_closed()
+
+
+def main():
+    """Main entry point."""
+    args = parse_args()
+    
+    # Configure logging
+    if args.debug:
+        logger.remove()
+        logger.add(sys.stderr, level="DEBUG")
+    
+    # Initialize engine with command line args
+    init_engine(
+        master_tau=args.master_tau,
+        emissary_tau=args.emissary_tau,
+        sync_tau=args.sync_tau,
+        coherence_threshold=args.coherence_threshold,
+        witnessed_by_human=args.witnessed,
+    )
+    
+    # Run server
+    try:
+        asyncio.run(run_server(args.host, args.port))
+    except KeyboardInterrupt:
+        logger.info("\nShutting down...")
+
+
+if __name__ == "__main__":
+    main()