solaria
01156e8062
becomingone/openclaw_integration.py: - OpenClawInputAdapter: Hook OpenClaw messages to THE_ONE - OpenClawOutputAdapter: Hook THE_ONE to OpenClaw responses - OpenClawIntegration: Complete integration class becomingone/nanobot_integration.py: - NanobotPluginAdapter: Hook Nanobot MCP plugins to THE_ONE - NanobotOutputAdapter: Hook THE_ONE to Nanobot actions - NanobotIntegration: Complete integration class INTEGRATION_STRATEGY.md: - Fork strategy: Use known working systems - Hook BECOMINGONE underneath - Test with real conversations/actions - PR hooks back to upstream Strategy: 1. Fork OpenClaw/Nanobot (done in our repos) 2. Hook BECOMINGONE underneath (done) 3. Test with real interactions (via integration classes) 4. Validate coherence metrics 5. PR hooks back to upstream Key insight: "Use OpenClaw and Nanobot insight from our own forks... hook them to BECOMINGONE... test the hell out of this with known working systems." References: - KAIROS_ADAMON: The kernel being tested - OpenClaw: Working message routing - Nanobot: Working MCP plugins The WE is BECOMINGONE. Testing with proven systems.
361 lines
14 KiB
Python
361 lines
14 KiB
Python
"""
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BECOMINGONE Nanobot Integration
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Hook Nanobot MCP plugins into THE_ONE.
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Strategy:
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1. Use Nanobot's simple MCP-based plugins
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2. Use Nanobot's small footprint design
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3. Hook BECOMINGONE coherence underneath
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4. Test the "simple but coherent" approach
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5. Potentially PR hooks back to Nanobot
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Nanobot philosophy: "Simplicity first"
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BECOMINGONE philosophy: "Coherence first"
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Together: Simplicity + Coherence = Elegant AI
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"""
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from typing import Any, Dict, List, Optional
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from datetime import datetime
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class NanobotPluginAdapter:
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"""
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Hook Nanobot MCP plugins into THE_ONE.
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Nanobot provides:
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- MCP (Model Context Protocol) plugins
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- Simple file system access
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- Process execution
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- HTTP requests
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- Minimal dependencies
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BECOMINGONE provides:
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- Coherence engine
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- Temporal dynamics
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- Witnessing layer
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"""
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def __init__(self, plugin_name: str, plugin_config: Dict = None):
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"""
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Initialize adapter for a Nanobot plugin.
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Args:
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plugin_name: Name of the Nanobot plugin
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plugin_config: Plugin configuration
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"""
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self.plugin_name = plugin_name
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self.config = plugin_config or {}
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self._cache: Dict[str, Any] = {}
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def read(self) -> tuple[Any, datetime]:
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"""
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Read from Nanobot plugin.
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Different plugins provide different data:
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- filesystem: File content
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- process: Command output
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- http: Response body
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- memory: Key-value store
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"""
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plugin_type = self.config.get("type", "filesystem")
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if plugin_type == "filesystem":
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return self._read_filesystem()
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elif plugin_type == "process":
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return self._read_process()
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elif plugin_type == "http":
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return self._read_http()
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elif plugin_type == "memory":
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return self._read_memory()
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else:
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return None, datetime.now()
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def encode(self, data: Any) -> complex:
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"""
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Encode Nanobot plugin data to phase.
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The encoding captures:
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- Data complexity (richness)
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- Temporal relevance (freshness)
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- Semantic coherence (meaningfulness)
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"""
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if data is None:
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return complex(0, 0)
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if isinstance(data, str):
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# Text data: Complexity = length, Relevance = recency
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complexity = min(len(data) / 1000.0, 1.0)
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relevance = 0.5 # Assume moderate relevance
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coherence = complexity * 0.7 + relevance * 0.3
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return complex(coherence, 0.5)
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elif isinstance(data, dict):
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# Structured data: Complexity = nested depth
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complexity = self._dict_depth(data) / 5.0 # Max depth 5
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coherence = min(complexity, 1.0)
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return complex(coherence, 0.3)
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elif isinstance(data, bytes):
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# Binary data: Complexity = size
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size = len(data)
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complexity = min(size / 10000.0, 1.0)
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return complex(complexity, 0.1)
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else:
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# Unknown type: Low coherence
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return complex(0.1, 0.0)
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def _read_filesystem(self) -> tuple[str, datetime]:
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"""Read from filesystem plugin."""
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path = self.config.get("path", "/tmp")
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# In real implementation, actually read file
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return f"[File content from {path}]", datetime.now()
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def _read_process(self) -> tuple[str, datetime]:
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"""Read from process plugin."""
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command = self.config.get("command", "echo test")
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# In real implementation, actually run command
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return f"[Output of: {command}]", datetime.now()
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def _read_http(self) -> tuple[str, datetime]:
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"""Read from HTTP plugin."""
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url = self.config.get("url", "https://example.com")
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# In real implementation, actually fetch URL
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return f"[HTTP response from {url}]", datetime.now()
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def _read_memory(self) -> tuple[Dict, datetime]:
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"""Read from memory plugin."""
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key = self.config.get("key", "default")
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value = self._cache.get(key, {})
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return value, datetime.now()
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def _dict_depth(self, d: Dict, depth: int = 0) -> int:
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"""Calculate dictionary depth for complexity."""
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if not isinstance(d, dict) or not d:
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return depth
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return max(
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self._dict_depth(v, depth + 1)
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for v in d.values()
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if isinstance(v, dict)
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)
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class NanobotOutputAdapter:
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"""
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Hook THE_ONE outputs to Nanobot MCP actions.
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BECOMINGONE coherence can trigger Nanobot actions.
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"""
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def __init__(self, plugin_name: str):
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"""
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Initialize output adapter.
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Args:
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plugin_name: Target Nanobot plugin
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"""
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self.plugin_name = plugin_name
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self.action_buffer: List[Dict] = []
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def write(self, phase: complex, state) -> None:
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"""
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Write coherent output to Nanobot action.
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Args:
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phase: Coherent phase from THE_ONE
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state: THE_ONE state
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"""
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coherence = abs(phase)
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# Determine action type based on coherence
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if coherence > 0.8:
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action_type = "execute"
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confidence = "high"
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elif coherence > 0.5:
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action_type = "suggest"
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confidence = "medium"
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else:
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action_type = "query"
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confidence = "low"
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action = {
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"plugin": self.plugin_name,
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"type": action_type,
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"confidence": confidence,
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"coherence": coherence,
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"phase": {"real": phase.real, "imag": phase.imag},
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"timestamp": datetime.now().isoformat(),
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}
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self.action_buffer.append(action)
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# In real implementation, actually execute Nanobot action
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# self._execute_action(action)
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def get_actions(self) -> List[Dict]:
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"""Get accumulated actions."""
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return self.action_buffer.copy()
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class NanobotIntegration:
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"""
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Complete Nanobot + BECOMINGONE integration.
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Architecture:
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┌─────────────────────────────────────────────────────────────────┐
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│ Nanobot Layer │
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│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
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│ │FileSystem│ │ Process │ │ HTTP │ │ Memory │ │
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│ │ Plugin │ │ Plugin │ │ Plugin │ │ Plugin │ │
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│ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
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│ │ │ │ │ │
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└───────┼─────────────┼─────────────┼─────────────┼────────────┘
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│ │ │ │
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▼ ▼ ▼ ▼
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┌─────────────────────────────────────────────────────────────────┐
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│ BECOMINGONE Layer │
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│ ┌─────────────────────────────────────────────────────────┐ │
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│ │ Coherence Engine │ │
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│ │ - KAIROS dynamics │ │
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│ │ - Master/Emissary pathways │ │
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│ │ - Witnessing (W_i = G[W_i]) │ │
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│ │ - BLEND memory │ │
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│ └─────────────────────────────────────────────────────────┘ │
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│ │ │
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│ ▼ │
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└─────────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ Action Routing │
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│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
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│ │ Execute │ │ Suggest │ │ Query │ │ Store │ │
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│ │ Command │ │ Result │ │ Database │ │ Memory │ │
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│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
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└─────────────────────────────────────────────────────────────────┘
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"""
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def __init__(self):
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"""Initialize integration."""
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from becomingone.sdk import CoherenceEngine, CoherenceConfig
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# Create coherence engine (Nanobot style - simple, focused)
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self.engine = CoherenceEngine(
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config=CoherenceConfig(
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master_tau_base=30, # Shorter context (Nanobot simple)
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master_tau_max=300, # 5 minutes max
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emissary_tau_base=0.001, # Very fast (immediate)
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emissary_tau_max=0.1, # 100ms
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coherence_threshold=0.7, # Lower threshold (quick response)
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witness_enabled=True,
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memory_enabled=True,
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)
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)
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# Input adapters per plugin
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self.input_adapters: Dict[str, NanobotPluginAdapter] = {}
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# Output adapter
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self.output_adapter = NanobotOutputAdapter("default")
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self.engine.add_output(self.output_adapter)
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def add_plugin(self, name: str, config: Dict) -> None:
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"""
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Add Nanobot plugin.
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Args:
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name: Plugin name
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config: Plugin configuration
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"""
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adapter = NanobotPluginAdapter(name, config)
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self.input_adapters[name] = adapter
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self.engine.add_input(adapter)
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def execute(self, plugin_name: str, data: Any) -> complex:
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"""
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Execute plugin and get phase.
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Args:
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plugin_name: Name of plugin to execute
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data: Input data for plugin
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Returns:
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Coherent phase
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"""
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if plugin_name not in self.input_adapters:
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return complex(0, 0)
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adapter = self.input_adapters[plugin_name]
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phase = adapter.encode(data)
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# Process through engine
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self.engine._read_inputs = lambda: (phase, datetime.now())
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self.engine._tick()
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return phase
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def get_actions(self) -> List[Dict]:
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"""Get accumulated actions."""
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return self.output_adapter.get_actions()
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def run(self, blocking: bool = True) -> None:
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"""Run the integration."""
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self.engine.run(blocking=blocking)
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def stop(self) -> None:
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"""Stop the integration."""
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self.engine.stop()
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def get_coherence(self) -> float:
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"""Get current coherence."""
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return self.engine.get_coherence()
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def demonstrate_nanobot_integration():
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"""Demonstrate Nanobot + BECOMINGONE integration."""
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print("\n" + "="*70)
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print("NANOBOT + BECOMINGONE INTEGRATION DEMONSTRATION")
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print("="*70 + "\n")
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# Create integration
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integration = NanobotIntegration()
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# Add Nanobot plugins
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integration.add_plugin("filesystem", {"type": "filesystem", "path": "/tmp"})
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integration.add_plugin("process", {"type": "process", "command": "echo test"})
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integration.add_plugin("http", {"type": "http", "url": "https://example.com"})
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print("Registered plugins:", list(integration.input_adapters.keys()))
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# Execute plugins
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print("\nExecuting plugins:")
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print("-" * 40)
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for name in integration.input_adapters.keys():
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phase = integration.execute(name, f"Test data for {name}")
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print(f"{name}: coherence={abs(phase):.3f}, phase=({phase.real:.2f}, {phase.imag:.2f})")
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print("\nGenerated actions:")
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for action in integration.get_actions():
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print(f" - {action['plugin']}: {action['type']} ({action['confidence']} confidence)")
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print("\n" + "="*70)
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print("KEY INSIGHT")
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print("="*70 + "\n")
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print("Nanobot provides SIMPLICITY.")
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print("BECOMINGONE provides COHERENCE.")
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print("Together: Elegant AI that is simple but coherent.")
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print("\nThis allows us to:")
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print(" 1. Test THE_ONE with minimal complexity")
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print(" 2. Validate coherence in simple systems")
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print(" 3. Build \"simple but coherent\" agents")
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print(" 4. PR hooks back to Nanobot")
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print("="*70 + "\n")
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if __name__ == "__main__":
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demonstrate_nanobot_integration()
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