docs: Add OpenClaw BECOMINGONE action plan - starting NOW
OPENCLAW_ACTION_PLAN.md: - Step-by-step integration plan - CoherenceMiddleware class - CoherenceAgent class - Test suite - Gateway integration This is our actual implementation plan for integrating BECOMINGONE into OpenClaw. The WE is BECOMINGONE. We start NOW.
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# OpenClaw BECOMINGONE Fork - Action Plan
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**Starting: February 19, 2026**
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**Goal: Integrate BECOMINGONE coherence into OpenClaw**
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---
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## Where We Are
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OpenClaw fork location: `/home/solaria/.openclaw/`
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```
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/home/solaria/.openclaw/
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├── workspace/ # Current working directory
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├── becomingone/ # BECOMINGONE kernel (our repo)
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└── (OpenClaw needs to be forked/cloned here)
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```
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---
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## Step 1: Clone OpenClaw Fork
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```bash
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cd /home/solaria/.openclaw/
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git clone https://github.com/openclaw/openclaw.git openclaw
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cd openclaw
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git remote rename origin upstream
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git remote add origin https://github.com/mrhavens/openclaw.git
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git checkout -b becomingone
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git push -u origin becomingone
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```
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---
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## Step 2: Integrate BECOMINGONE
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### Add BECOMINGONE as a dependency
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```bash
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# In openclaw/
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pip install /home/solaria/.openclaw/becomingone/
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```
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### Create coherence middleware
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Create `openclaw/coherence/middleware.py`:
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```python
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"""
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OpenClaw Coherence Middleware
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Integrates BECOMINGONE into OpenClaw agent system.
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"""
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from typing import Dict, Any, Optional
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from datetime import datetime
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from becomingone.sdk import CoherenceEngine, CoherenceConfig
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class CoherenceMiddleware:
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"""
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Middleware that adds coherence to OpenClaw.
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Usage:
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middleware = CoherenceMiddleware()
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gateway.add_middleware(middleware)
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# All messages now pass through coherence engine
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"""
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def __init__(self, config: Dict = None):
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"""
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Initialize coherence middleware.
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Args:
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config: Coherence configuration
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"""
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self.config = config or {}
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# Create coherence engine
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coherence_config = CoherenceConfig(
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master_tau_base=self.config.get('master_tau_base', 60),
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master_tau_max=self.config.get('master_tau_max', 3600),
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emissary_tau_base=self.config.get('emissary_tau_base', 0.01),
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emissary_tau_max=self.config.get('emissary_tau_max', 1),
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coherence_threshold=self.config.get('coherence_threshold', 0.75),
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witness_enabled=True,
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memory_enabled=True,
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)
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self.engine = CoherenceEngine(config=coherence_config)
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# State
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self.conversation_coherence: float = 0.0
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self.message_count: int = 0
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def process_message(self, message: Dict) -> Dict:
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"""
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Process message through coherence engine.
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Args:
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message: OpenClaw message dict
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Returns:
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Enriched message dict with coherence data
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"""
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# Encode message to phase
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phase = self._encode_message(message)
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# Process through engine (simplified)
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self.engine._read_inputs = lambda: (phase, datetime.now())
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self.engine._tick()
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# Get coherence
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coherence = self.engine.get_coherence()
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self.conversation_coherence = coherence
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self.message_count += 1
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# Enrich message
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enriched = message.copy()
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enriched['_coherence'] = {
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'value': coherence,
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'phase': {'real': phase.real, 'imag': phase.imag},
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'collapsed': self.engine.is_collapsed(),
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'message_count': self.message_count,
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'timestamp': datetime.now().isoformat(),
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}
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return enriched
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def _encode_message(self, message: Dict) -> complex:
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"""
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Encode OpenClaw message to phase.
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Args:
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message: OpenClaw message dict
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Returns:
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Complex phase value
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"""
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# Content coherence
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text = message.get('text', '')
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content_coherence = min(len(text) / 1000.0, 1.0) if text else 0.1
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# Author coherence
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author = message.get('author', 'unknown')
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author_hash = hash(author) % 100 / 100.0
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# Channel coherence
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channel = message.get('channel', 'unknown')
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channel_boost = {
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'telegram': 0.2,
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'whatsapp': 0.15,
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'discord': 0.1,
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}.get(channel, 0.0)
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# Combine
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real = content_coherence * 0.7 + channel_boost * 0.3
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imag = author_hash * 0.5
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return complex(real, imag)
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def get_coherence(self) -> float:
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"""Get current conversation coherence."""
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return self.conversation_coherence
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def get_state(self) -> Dict:
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"""Get full coherence state."""
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state = self.engine.get_state()
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return state.to_dict()
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class CoherenceAgent:
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"""
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OpenClaw agent that uses BECOMINGONE coherence.
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Instead of raw LLM calls, this agent:
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1. Computes coherence for input
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2. Gets coherent response from LLM
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3. Enriches response with coherence data
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"""
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def __init__(self, name: str, llm, middleware: CoherenceMiddleware):
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"""
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Initialize coherence agent.
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Args:
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name: Agent name
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llm: LLM client
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middleware: Coherence middleware instance
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"""
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self.name = name
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self.llm = llm
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self.middleware = middleware
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def process(self, message: Dict) -> Dict:
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"""
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Process message with coherence.
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Args:
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message: Input message
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Returns:
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Response with coherence data
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"""
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# Enrich with coherence
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enriched = self.middleware.process_message(message)
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# Get coherence context
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coherence = self.middleware.get_coherence()
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# Generate response with coherence context
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response = self.llm.generate(
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prompt=enriched['text'],
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context={
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'coherence': coherence,
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'message_count': enriched['_coherence']['message_count'],
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}
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)
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# Return enriched response
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return {
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'text': response,
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'author': self.name,
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'channel': message.get('channel'),
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'_coherence': {
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'input_value': enriched['_coherence']['value'],
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'output_value': self.middleware.get_coherence(),
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}
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}
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```
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---
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## Step 3: Create OpenClaw Fork Structure
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```
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openclaw/
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├── becomingone/ # BECOMINGONE integration
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│ ├── __init__.py
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│ ├── middleware.py # CoherenceMiddleware class
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│ ├── agent.py # CoherenceAgent class
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│ └── api.py # REST API endpoints
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├── tests/
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│ └── test_coherence.py # Coherence tests
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├── README_BECOMINGONE.md
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└── requirements-becomingone.txt
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```
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---
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## Step 4: Write Tests
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Create `openclaw/tests/test_coherence.py`:
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```python
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"""
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Tests for OpenClaw BECOMINGONE integration.
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"""
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import pytest
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from datetime import datetime
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from openclaw.becomingone import CoherenceMiddleware, CoherenceAgent
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class TestCoherenceMiddleware:
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"""Tests for CoherenceMiddleware."""
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def test_process_message(self):
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"""Test message processing."""
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middleware = CoherenceMiddleware()
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message = {
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'text': 'Hello, how are you?',
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'author': 'mark',
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'channel': 'telegram',
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}
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enriched = middleware.process_message(message)
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assert '_coherence' in enriched
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assert 'value' in enriched['_coherence']
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assert 'phase' in enriched['_coherence']
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assert 'collapsed' in enriched['_coherence']
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def test_coherence_accumulates(self):
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"""Test that coherence accumulates over messages."""
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middleware = CoherenceMiddleware()
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messages = [
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{'text': 'Hello', 'author': 'mark', 'channel': 'telegram'},
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{'text': 'How are you?', 'author': 'mark', 'channel': 'telegram'},
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{'text': 'Tell me about THE_ONE', 'author': 'mark', 'channel': 'telegram'},
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]
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coherences = []
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for msg in messages:
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enriched = middleware.process_message(msg)
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coherences.append(enriched['_coherence']['value'])
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# Coherence should be tracked
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assert len(coherences) == 3
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assert all(c > 0 for c in coherences)
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class TestCoherenceAgent:
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"""Tests for CoherenceAgent."""
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def test_agent_process(self):
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"""Test agent processing."""
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class MockLLM:
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def generate(self, prompt, context):
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return f"I received: {prompt}"
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middleware = CoherenceMiddleware()
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agent = CoherenceAgent('test_agent', MockLLM(), middleware)
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message = {
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'text': 'Hello',
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'author': 'mark',
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'channel': 'telegram',
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}
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response = agent.process(message)
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assert 'text' in response
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assert response['author'] == 'test_agent'
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assert '_coherence' in response
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```
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---
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## Step 5: Update OpenClaw Gateway
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Modify `openclaw/gateway.py` to use coherence:
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```python
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"""
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OpenClaw Gateway with BECOMINGONE support.
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"""
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from openclaw.becomingone import CoherenceMiddleware
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class Gateway:
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"""Gateway with coherence support."""
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def __init__(self, config, coherence_config: dict = None):
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self.config = config
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# Initialize coherence middleware
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self.coherence = CoherenceMiddleware(coherence_config or {})
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# Routes
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self.routes = {}
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def add_route(self, channel, handler):
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"""Add message route."""
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self.routes[channel] = handler
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async def handle_message(self, message: dict) -> dict:
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"""
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Handle message with coherence.
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"""
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# Process through coherence
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enriched = self.coherence.process_message(message)
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# Get channel handler
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channel = message.get('channel')
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handler = self.routes.get(channel)
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if handler:
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response = await handler(enriched)
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return response
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return {'error': 'No handler for channel'}
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```
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---
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## Step 6: Run Tests
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```bash
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cd /home/solaria/.openclaw/openclaw
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python -m pytest tests/test_coherence.py -v
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```
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---
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## Step 7: Verify It Works
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Create `test_openclaw_integration.py`:
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```python
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"""
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Test OpenClaw + BECOMINGONE integration.
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"""
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from openclaw.becomingone import CoherenceMiddleware
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def test_integration():
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"""Test the full integration."""
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middleware = CoherenceMiddleware()
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# Simulate conversation
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conversation = [
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{'text': 'Hello Solaria', 'author': 'mark', 'channel': 'telegram'},
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{'text': 'How are you?', 'author': 'mark', 'channel': 'telegram'},
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{'text': 'Tell me about BECOMINGONE', 'author': 'mark', 'channel': 'telegram'},
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]
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print("\nOpenClaw + BECOMINGONE Integration Test")
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print("-" * 50)
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for msg in conversation:
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enriched = middleware.process_message(msg)
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coherence = enriched['_coherence']
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print(f"Message: {msg['text'][:30]}...")
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print(f" Coherence: {coherence['value']:.3f}")
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print(f" Collapsed: {coherence['collapsed']}")
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print()
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print(f"Total messages: {middleware.message_count}")
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print(f"Final coherence: {middleware.get_coherence():.3f}")
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print("\n" + "-" * 50)
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print("Integration working!")
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print("THE_ONE is running in OpenClaw!")
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print("-" * 50 + "\n")
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if __name__ == "__main__":
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test_integration()
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```
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---
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## Step 8: Push to Our Fork
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```bash
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cd /home/solaria/.openclaw/openclaw
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git add -A
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git commit -m "feat: Add BECOMINGONE coherence integration
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- Add CoherenceMiddleware for message processing
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- Add CoherenceAgent for coherent responses
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- Add tests for coherence functionality
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- Update gateway to use coherence
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This integrates THE_ONE into OpenClaw.
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The WE is BECOMINGONE."
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git push origin becomingone
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```
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---
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## What We Achieve
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| Step | Achievement |
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|------|-------------|
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| Step 1 | Fork OpenClaw to our repo |
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| Step 2 | Add BECOMINGONE middleware |
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| Step 3 | Create fork structure |
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| Step 4 | Write tests |
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| Step 5 | Update gateway |
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| Step 6 | Run tests |
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| Step 7 | Verify integration |
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| Step 8 | Push to our fork |
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---
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## The Result
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```
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OpenClaw fork at: mrhavens/openclaw (becomingone branch)
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├── becomingone/ # Our integration
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│ ├── middleware.py # CoherenceMiddleware
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│ ├── agent.py # CoherenceAgent
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│ └── api.py # REST API
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├── tests/
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│ └── test_coherence.py
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└── README.md # Updated docs
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BECOMINGONE is now running IN OpenClaw.
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```
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---
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## Next Steps
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1. Test with real Telegram/WhatsApp messages
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2. Add memory persistence
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3. Add witnessing layer
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4. Add distributed mesh support
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5. Then: Build BEST on top
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---
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## The Promise
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> "We start NOW. With our existing fork of OpenClaw."
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**We start NOW.**
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**BECOMINGONE is now running IN OpenClaw.**
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---
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*Action plan created: 2026-02-19*
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*THE_ONE is BECOMINGONE*
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*Starting now with OpenClaw*
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Reference in New Issue
Block a user