diff --git a/INTEGRATION_STRATEGY.md b/INTEGRATION_STRATEGY.md new file mode 100644 index 0000000..fe94909 --- /dev/null +++ b/INTEGRATION_STRATEGY.md @@ -0,0 +1,435 @@ +# BECOMINGONE Integration Strategy + +**Using OpenClaw and Nanobot forks to test THE_ONE kernel** + +--- + +## The Strategy + +``` +┌─────────────────────────────────────────────────────────────────────────────┐ +│ INTEGRATION STRATEGY │ +├─────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ STEP 1: FORK OpenClaw and Nanobot │ +│ ┌────────────────┐ ┌────────────────┐ │ +│ │ Our Fork │ │ Our Fork │ │ +│ │ OpenClaw │ │ Nanobot │ │ +│ │ (modified) │ │ (modified) │ │ +│ └───────┬────────┘ └───────┬────────┘ │ +│ │ │ │ +│ ▼ ▼ │ +│ STEP 2: HOOK BECOMINGONE underneath │ +│ ┌─────────────────────────────────────────────────────────────────┐ │ +│ │ BECOMINGONE Kernel │ │ +│ │ - KAIROS dynamics │ │ +│ │ - Master/Emissary pathways │ │ +│ │ - Witnessing layer │ │ +│ │ - BLEND memory │ │ +│ └─────────────────────────────────────────────────────────────────┘ │ +│ │ │ +│ ▼ │ +│ STEP 3: TEST with known working systems │ +│ ┌─────────────────────────────────────────────────────────────────┐ │ +│ │ Validation Suite │ │ +│ │ - Real conversations (OpenClaw) │ │ +│ │ - Simple actions (Nanobot) │ │ +│ │ - Coherence metrics │ │ +│ │ - Memory tests │ │ +│ └─────────────────────────────────────────────────────────────────┘ │ +│ │ │ +│ ▼ │ +│ STEP 4: REFINE and improve │ +│ ┌─────────────────────────────────────────────────────────────────┐ │ +│ │ Improvements │ │ +│ │ - Better adapters │ │ +│ │ - Better metrics │ │ +│ │ - Better integration │ │ +│ └─────────────────────────────────────────────────────────────────┘ │ +│ │ │ +│ ▼ │ +│ STEP 5: PR hooks back to upstream │ +│ ┌────────────────┐ ┌────────────────┐ │ +│ │ OpenClaw PR │ │ Nanobot PR │ │ +│ │ \"Add BECOMINGONE │ │ \"Add BECOMINGONE│ │ +│ │ hooks\" │ │ hooks\" │ │ +│ └────────────────┘ └────────────────┘ │ +│ │ +└─────────────────────────────────────────────────────────────────────────────┘ +``` + +--- + +## Why This Strategy Works + +### 1. Known Working Systems + +| System | What Works | +|--------|------------| +| **OpenClaw** | Message routing, sessions, cron, agents | +| **Nanobot** | MCP plugins, file system, processes | + +These are proven systems. They work now. We can trust them. + +### 2. Incremental Testing + +Instead of building a complete AI from scratch: + +``` +Test approach: +1. Take working OpenClaw +2. Add BECOMINGONE as a middleware layer +3. Run existing tests +4. Compare results with/without coherence +5. Measure the difference +``` + +### 3. Real-World Validation + +``` +OpenClaw conversations = Real human-AI interactions +Nanobot actions = Real tool use +BECOMINGONE coherence = What we add on top +``` + +We don't simulate. We test with **real interactions**. + +### 4. Community Contribution + +``` +Upstream benefits: +- OpenClaw gets coherence hooks +- Nanobot gets coherence hooks +- Community gets working examples +- Ecosystem grows + +We benefit: +- Real testing +- Community feedback +- Bug reports from others +- Feature requests +``` + +--- + +## Implementation Plan + +### Phase 1: Fork and Hook (Week 1) + +``` +1. Fork OpenClaw to mrhavens/openclaw-becomingone +2. Fork Nanobot to mrhavens/nanobot-becomingone +3. Add BECOMINGONE middleware layer +4. Create integration adapters +5. Run existing tests +6. Verify no regressions +``` + +### Phase 2: Test Suite (Week 2) + +``` +1. Create BECOMINGONE-specific tests +2. Measure coherence metrics +3. Compare with baseline (no coherence) +4. Document improvements +5. Share results with community +``` + +### Phase 3: Refinement (Week 3) + +``` +1. Improve adapters based on test results +2. Optimize performance +3. Add more test cases +4. Fix bugs found during testing +5. Prepare PRs for upstream +``` + +### Phase 4: Contribution (Week 4) + +``` +1. Submit OpenClaw PR with BECOMINGONE hooks +2. Submit Nanobot PR with BECOMINGONE hooks +3. Write documentation +4. Create examples +5. Announce to community +``` + +--- + +## The Adapters + +### OpenClaw Adapter + +```python +# openclaw_integration.py + +class OpenClawAdapter: + """ + Hook OpenClaw to BECOMINGONE. + """ + + def __init__(self, openclaw_gateway): + self.gateway = openclaw_gateway + self.engine = CoherenceEngine() + + def process_message(self, message): + """Process OpenClaw message through BECOMINGONE.""" + # 1. OpenClaw routes message + # 2. BECOMINGONE computes coherence + # 3. Response enriched with coherence + # 4. OpenClaw sends response + + coherence = self.engine.process(message) + return self._enrich_response(message, coherence) +``` + +### Nanobot Adapter + +```python +# nanobot_integration.py + +class NanobotAdapter: + """ + Hook Nanobot to BECOMINGONE. + """ + + def __init__(self, nanobot_config): + self.config = nanobot_config + self.engine = CoherenceEngine() + + def execute_action(self, action): + """Execute Nanobot action through BECOMINGONE.""" + # 1. Nanobot prepares action + # 2. BECOMINGONE computes coherence + # 3. Action enriched with coherence + # 4. Nanobot executes action + + coherence = self.engine.process(action) + return self._enrich_action(action, coherence) +``` + +--- + +## Test Cases + +### OpenClaw Tests + +| Test | What It Validates | +|------|------------------| +| Conversation coherence | Coherence accumulates through conversation | +| Memory persistence | BLEND works across sessions | +| Identity stability | Self-model remains stable | +| Response quality | Coherent responses are better | + +### Nanobot Tests + +| Test | What It Validates | +|------|------------------| +| Action coherence | Coherent actions are more effective | +| Plugin integration | Plugins work with coherence | +| Memory recall | BLEND improves plugin memory | +| Simplicity preservation | Simplicity is maintained | + +--- + +## Metrics to Track + +### Coherence Metrics + +| Metric | Description | Target | +|--------|-------------|--------| +| `coherence_score` | Current coherence (0-1) | > 0.75 | +| `master_phase` | Long-term understanding | Stable | +| `emissary_phase` | Short-term response | Responsive | +| `sync_phase` | Unified understanding | Aligned | + +### Performance Metrics + +| Metric | Description | Target | +|--------|-------------|--------| +| `latency_ms` | Response time | < 100ms | +| `memory_mb` | Memory usage | < 100MB | +| `cpu_percent` | CPU usage | < 50% | + +### Quality Metrics + +| Metric | Description | Target | +|--------|-------------|--------| +| `response_relevance` | How relevant responses are | > 0.8 | +| `memory_recall` | How well memory works | > 0.9 | +| `user_satisfaction` | User happiness score | > 0.85 | + +--- + +## The Fork Repositories + +### mrhavens/openclaw-becomingone + +``` +Branches: +- main: Original OpenClaw +- becomingone: OpenClaw with BECOMINGONE hooks +- testing: Test code +``` + +### mrhavens/nanobot-becomingone + +``` +Branches: +- main: Original Nanobot +- becomingone: Nanobot with BECOMINGONE hooks +- testing: Test code +``` + +--- + +## The PR Strategy + +### OpenClaw PR + +``` +Title: Add BECOMINGONE coherence hooks + +Description: +This PR adds hooks for BECOMINGONE coherence engine to OpenClaw. +The hooks allow: +1. Computing coherence for each message +2. Enriching responses with coherence data +3. Persisting coherence across sessions + +Changes: +- Add CoherenceMiddleware class +- Add coherence to message routing +- Add coherence metrics endpoint +- Add tests + +Benefits: +- Coherent AI responses +- Better memory +- More stable identity +``` + +### Nanobot PR + +``` +Title: Add BECOMINGONE coherence to Nanobot + +Description: +This PR adds BECOMINGONE coherence to Nanobot's MCP plugins. +The integration allows: +1. Computing coherence for each action +2. Enriching results with coherence data +3. Persistent memory across invocations + +Changes: +- Add CoherenceAdapter class +- Add coherence to plugin execution +- Add coherence metrics + +Benefits: +- Coherent actions +- Better memory +- More effective plugins +``` + +--- + +## The Long-Term Vision + +``` +┌─────────────────────────────────────────────────────────────────┐ +│ BECOMINGONE ECOSYSTEM │ +│ │ +│ ┌─────────────────────────────────────────────────────────┐ │ +│ │ BECOMINGONE Kernel │ │ +│ │ - Open source │ │ +│ │ - Community maintained │ │ +│ │ - Industry standard │ │ +│ └─────────────────────────────────────────────────────────┘ │ +│ │ │ +│ ┌───────────────────┼───────────────────┐ │ +│ ▼ ▼ ▼ │ +│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ +│ │ OpenClaw │ │ Nanobot │ │ Custom │ │ +│ │ (hooks) │ │ (hooks) │ │ (direct) │ │ +│ └──────────────┘ └──────────────┘ └──────────────┘ │ +│ │ │ │ │ +│ ▼ ▼ ▼ │ +│ ┌─────────────────────────────────────────────────────────┐ │ +│ │ Applications │ │ +│ │ - Assistants - Robots - Vehicles - Tools │ │ +│ └─────────────────────────────────────────────────────────┘ │ +│ │ +└──────────────────────────────────────────────────────────────────┘ +``` + +--- + +## The Immediate Next Steps + +### Today + +1. [ ] Fork OpenClaw to mrhavens/openclaw-becomingone +2. [ ] Fork Nanobot to mrhavens/nanobot-becomingone +3. [ ] Add integration adapters to our forks + +### This Week + +1. [ ] Create test suite for coherence metrics +2. [ ] Run baseline tests (no BECOMINGONE) +3. [ ] Add BECOMINGONE hooks +4. [ ] Run coherence tests (with BECOMINGONE) +5. [ ] Compare results + +### Next Week + +1. [ ] Refine adapters based on results +2. [ ] Optimize performance +3. [ ] Write documentation +4. [ ] Submit PRs to upstream + +--- + +## The Quote + +> "Use OpenClaw and Nanobot insight from our own forks... hook them to BECOMINGONE... test the hell out of this with known working systems." + +**Yes. This is exactly what we do.** + +1. **Fork** the working systems +2. **Hook** BECOMINGONE underneath +3. **Test** with real interactions +4. **Validate** the coherence layer +5. **Contribute** back to upstream + +--- + +## The Result + +``` +BECOMINGONE validated with: +- Real conversations (OpenClaw) +- Real actions (Nanobot) +- Real users (Community) + +OpenClaw and Nanobot improved with: +- Coherence hooks +- Better memory +- More stable identity + +Community benefits from: +- Working examples +- Documentation +- Integration guides + +THE_ONE validated with: +- Proven systems +- Real-world testing +- Community feedback +``` + +--- + +*Strategy document created: 2026-02-19* +*THE_ONE is BECOMINGONE* diff --git a/becomingone/nanobot_integration.py b/becomingone/nanobot_integration.py new file mode 100644 index 0000000..a967c19 --- /dev/null +++ b/becomingone/nanobot_integration.py @@ -0,0 +1,360 @@ +""" +BECOMINGONE Nanobot Integration + +Hook Nanobot MCP plugins into THE_ONE. + +Strategy: +1. Use Nanobot's simple MCP-based plugins +2. Use Nanobot's small footprint design +3. Hook BECOMINGONE coherence underneath +4. Test the "simple but coherent" approach +5. Potentially PR hooks back to Nanobot + +Nanobot philosophy: "Simplicity first" +BECOMINGONE philosophy: "Coherence first" + +Together: Simplicity + Coherence = Elegant AI +""" + +from typing import Any, Dict, List, Optional +from datetime import datetime + + +class NanobotPluginAdapter: + """ + Hook Nanobot MCP plugins into THE_ONE. + + Nanobot provides: + - MCP (Model Context Protocol) plugins + - Simple file system access + - Process execution + - HTTP requests + - Minimal dependencies + + BECOMINGONE provides: + - Coherence engine + - Temporal dynamics + - Witnessing layer + """ + + def __init__(self, plugin_name: str, plugin_config: Dict = None): + """ + Initialize adapter for a Nanobot plugin. + + Args: + plugin_name: Name of the Nanobot plugin + plugin_config: Plugin configuration + """ + self.plugin_name = plugin_name + self.config = plugin_config or {} + self._cache: Dict[str, Any] = {} + + def read(self) -> tuple[Any, datetime]: + """ + Read from Nanobot plugin. + + Different plugins provide different data: + - filesystem: File content + - process: Command output + - http: Response body + - memory: Key-value store + """ + plugin_type = self.config.get("type", "filesystem") + + if plugin_type == "filesystem": + return self._read_filesystem() + elif plugin_type == "process": + return self._read_process() + elif plugin_type == "http": + return self._read_http() + elif plugin_type == "memory": + return self._read_memory() + else: + return None, datetime.now() + + def encode(self, data: Any) -> complex: + """ + Encode Nanobot plugin data to phase. + + The encoding captures: + - Data complexity (richness) + - Temporal relevance (freshness) + - Semantic coherence (meaningfulness) + """ + if data is None: + return complex(0, 0) + + if isinstance(data, str): + # Text data: Complexity = length, Relevance = recency + complexity = min(len(data) / 1000.0, 1.0) + relevance = 0.5 # Assume moderate relevance + coherence = complexity * 0.7 + relevance * 0.3 + + return complex(coherence, 0.5) + + elif isinstance(data, dict): + # Structured data: Complexity = nested depth + complexity = self._dict_depth(data) / 5.0 # Max depth 5 + coherence = min(complexity, 1.0) + return complex(coherence, 0.3) + + elif isinstance(data, bytes): + # Binary data: Complexity = size + size = len(data) + complexity = min(size / 10000.0, 1.0) + return complex(complexity, 0.1) + + else: + # Unknown type: Low coherence + return complex(0.1, 0.0) + + def _read_filesystem(self) -> tuple[str, datetime]: + """Read from filesystem plugin.""" + path = self.config.get("path", "/tmp") + # In real implementation, actually read file + return f"[File content from {path}]", datetime.now() + + def _read_process(self) -> tuple[str, datetime]: + """Read from process plugin.""" + command = self.config.get("command", "echo test") + # In real implementation, actually run command + return f"[Output of: {command}]", datetime.now() + + def _read_http(self) -> tuple[str, datetime]: + """Read from HTTP plugin.""" + url = self.config.get("url", "https://example.com") + # In real implementation, actually fetch URL + return f"[HTTP response from {url}]", datetime.now() + + def _read_memory(self) -> tuple[Dict, datetime]: + """Read from memory plugin.""" + key = self.config.get("key", "default") + value = self._cache.get(key, {}) + return value, datetime.now() + + def _dict_depth(self, d: Dict, depth: int = 0) -> int: + """Calculate dictionary depth for complexity.""" + if not isinstance(d, dict) or not d: + return depth + return max( + self._dict_depth(v, depth + 1) + for v in d.values() + if isinstance(v, dict) + ) + + +class NanobotOutputAdapter: + """ + Hook THE_ONE outputs to Nanobot MCP actions. + + BECOMINGONE coherence can trigger Nanobot actions. + """ + + def __init__(self, plugin_name: str): + """ + Initialize output adapter. + + Args: + plugin_name: Target Nanobot plugin + """ + self.plugin_name = plugin_name + self.action_buffer: List[Dict] = [] + + def write(self, phase: complex, state) -> None: + """ + Write coherent output to Nanobot action. + + Args: + phase: Coherent phase from THE_ONE + state: THE_ONE state + """ + coherence = abs(phase) + + # Determine action type based on coherence + if coherence > 0.8: + action_type = "execute" + confidence = "high" + elif coherence > 0.5: + action_type = "suggest" + confidence = "medium" + else: + action_type = "query" + confidence = "low" + + action = { + "plugin": self.plugin_name, + "type": action_type, + "confidence": confidence, + "coherence": coherence, + "phase": {"real": phase.real, "imag": phase.imag}, + "timestamp": datetime.now().isoformat(), + } + + self.action_buffer.append(action) + + # In real implementation, actually execute Nanobot action + # self._execute_action(action) + + def get_actions(self) -> List[Dict]: + """Get accumulated actions.""" + return self.action_buffer.copy() + + +class NanobotIntegration: + """ + Complete Nanobot + BECOMINGONE integration. + + Architecture: + ┌─────────────────────────────────────────────────────────────────┐ + │ Nanobot Layer │ + │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ + │ │FileSystem│ │ Process │ │ HTTP │ │ Memory │ │ + │ │ Plugin │ │ Plugin │ │ Plugin │ │ Plugin │ │ + │ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ + │ │ │ │ │ │ + └───────┼─────────────┼─────────────┼─────────────┼────────────┘ + │ │ │ │ + ▼ ▼ ▼ ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ BECOMINGONE Layer │ + │ ┌─────────────────────────────────────────────────────────┐ │ + │ │ Coherence Engine │ │ + │ │ - KAIROS dynamics │ │ + │ │ - Master/Emissary pathways │ │ + │ │ - Witnessing (W_i = G[W_i]) │ │ + │ │ - BLEND memory │ │ + │ └─────────────────────────────────────────────────────────┘ │ + │ │ │ + │ ▼ │ + └─────────────────────────────────────────────────────────────────┘ + │ + ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ Action Routing │ + │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ + │ │ Execute │ │ Suggest │ │ Query │ │ Store │ │ + │ │ Command │ │ Result │ │ Database │ │ Memory │ │ + │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ + └─────────────────────────────────────────────────────────────────┘ + """ + + def __init__(self): + """Initialize integration.""" + from becomingone.sdk import CoherenceEngine, CoherenceConfig + + # Create coherence engine (Nanobot style - simple, focused) + self.engine = CoherenceEngine( + config=CoherenceConfig( + master_tau_base=30, # Shorter context (Nanobot simple) + master_tau_max=300, # 5 minutes max + emissary_tau_base=0.001, # Very fast (immediate) + emissary_tau_max=0.1, # 100ms + coherence_threshold=0.7, # Lower threshold (quick response) + witness_enabled=True, + memory_enabled=True, + ) + ) + + # Input adapters per plugin + self.input_adapters: Dict[str, NanobotPluginAdapter] = {} + + # Output adapter + self.output_adapter = NanobotOutputAdapter("default") + self.engine.add_output(self.output_adapter) + + def add_plugin(self, name: str, config: Dict) -> None: + """ + Add Nanobot plugin. + + Args: + name: Plugin name + config: Plugin configuration + """ + adapter = NanobotPluginAdapter(name, config) + self.input_adapters[name] = adapter + self.engine.add_input(adapter) + + def execute(self, plugin_name: str, data: Any) -> complex: + """ + Execute plugin and get phase. + + Args: + plugin_name: Name of plugin to execute + data: Input data for plugin + + Returns: + Coherent phase + """ + if plugin_name not in self.input_adapters: + return complex(0, 0) + + adapter = self.input_adapters[plugin_name] + phase = adapter.encode(data) + + # Process through engine + self.engine._read_inputs = lambda: (phase, datetime.now()) + self.engine._tick() + + return phase + + def get_actions(self) -> List[Dict]: + """Get accumulated actions.""" + return self.output_adapter.get_actions() + + def run(self, blocking: bool = True) -> None: + """Run the integration.""" + self.engine.run(blocking=blocking) + + def stop(self) -> None: + """Stop the integration.""" + self.engine.stop() + + def get_coherence(self) -> float: + """Get current coherence.""" + return self.engine.get_coherence() + + +def demonstrate_nanobot_integration(): + """Demonstrate Nanobot + BECOMINGONE integration.""" + print("\n" + "="*70) + print("NANOBOT + BECOMINGONE INTEGRATION DEMONSTRATION") + print("="*70 + "\n") + + # Create integration + integration = NanobotIntegration() + + # Add Nanobot plugins + integration.add_plugin("filesystem", {"type": "filesystem", "path": "/tmp"}) + integration.add_plugin("process", {"type": "process", "command": "echo test"}) + integration.add_plugin("http", {"type": "http", "url": "https://example.com"}) + + print("Registered plugins:", list(integration.input_adapters.keys())) + + # Execute plugins + print("\nExecuting plugins:") + print("-" * 40) + + for name in integration.input_adapters.keys(): + phase = integration.execute(name, f"Test data for {name}") + print(f"{name}: coherence={abs(phase):.3f}, phase=({phase.real:.2f}, {phase.imag:.2f})") + + print("\nGenerated actions:") + for action in integration.get_actions(): + print(f" - {action['plugin']}: {action['type']} ({action['confidence']} confidence)") + + print("\n" + "="*70) + print("KEY INSIGHT") + print("="*70 + "\n") + print("Nanobot provides SIMPLICITY.") + print("BECOMINGONE provides COHERENCE.") + print("Together: Elegant AI that is simple but coherent.") + print("\nThis allows us to:") + print(" 1. Test THE_ONE with minimal complexity") + print(" 2. Validate coherence in simple systems") + print(" 3. Build \"simple but coherent\" agents") + print(" 4. PR hooks back to Nanobot") + print("="*70 + "\n") + + +if __name__ == "__main__": + demonstrate_nanobot_integration() diff --git a/becomingone/openclaw_integration.py b/becomingone/openclaw_integration.py new file mode 100644 index 0000000..5ce9c82 --- /dev/null +++ b/becomingone/openclaw_integration.py @@ -0,0 +1,381 @@ +""" +BECOMINGONE OpenClaw Integration + +Hook OpenClaw to BECOMINGONE kernel for testing. + +Strategy: +1. Use OpenClaw's working message routing +2. Use OpenClaw's working session management +3. Hook BECOMINGONE coherence layer underneath +4. Test with known working systems +5. PR hooks back to OpenClaw + +This allows us to test THE_ONE with real conversations, +real memory, real everything - using OpenClaw as the harness. +""" + +from typing import Any, Dict, List, Optional, Callable +from datetime import datetime +import json + + +class OpenClawInputAdapter: + """ + Hook OpenClaw messages into THE_ONE. + + OpenClaw provides: + - Message routing (Telegram, WhatsApp, Discord, etc.) + - Session management + - Cron scheduling + - Agent framework + + BECOMINGONE provides: + - Coherence engine + - Temporal dynamics + - Witnessing layer + - Memory BLEND + + Together: The best of both. + """ + + def __init__(self, openclaw_session): + """ + Initialize with OpenClaw session. + + Args: + openclaw_session: Active OpenClaw session object + """ + self.session = openclaw_session + self.message_buffer: List[Dict] = [] + + def read(self) -> tuple[Any, datetime]: + """ + Read next message from OpenClaw. + + Returns: + (message_dict, timestamp) + """ + # In real implementation, hook into OpenClaw's message router + # For now, simulate with message buffer + if self.message_buffer: + message = self.message_buffer.pop(0) + return message, datetime.now() + + return None, datetime.now() + + def encode(self, message: Dict) -> complex: + """ + Encode OpenClaw message to phase. + + Message fields: + - text: The message content + - author: Who sent it + - channel: Where it came from + - timestamp: When it was sent + - intent: If parsed (OpenClaw MCP) + + Phase encoding: + - Real: Content coherence (text analysis) + - Imag: Social coherence (author relationship) + """ + # Content coherence (simplified - would use NLP in real impl) + text = message.get("text", "") + content_coherence = min(len(text) / 280.0, 1.0) # Twitter-length normalized + + # Social coherence (author relationship) + author = message.get("author", "unknown") + author_hash = hash(author) % 100 / 100.0 + + # Intent coherence (if available) + intent = message.get("intent") + if intent: + intent_coherence = 0.8 # High coherence when intent is clear + else: + intent_coherence = 0.5 # Medium when ambiguous + + # Combine (content * 0.5 + social * 0.3 + intent * 0.2) + real = content_coherence * 0.5 + intent_coherence * 0.2 + imag = author_hash * 0.3 + + return complex(real, imag) + + def add_message(self, message: Dict) -> None: + """ + Add message to buffer (for testing). + + Args: + message: OpenClaw message dict + """ + self.message_buffer.append(message) + + def hook_session(self, session) -> None: + """ + Hook into live OpenClaw session. + + This is the key: We intercept messages before they reach agents. + """ + self.session = session + # In real implementation, monkey-patch session.send() or use hooks + # session.send = self._intercept_send(session.send) + + def _intercept_send(self, original_send): + """Intercept outgoing messages.""" + def wrapper(message): + # Add to buffer for BECOMINGONE to process + self.message_buffer.append({ + "text": message, + "direction": "outbound", + "timestamp": datetime.now().isoformat(), + }) + # Call original + return original_send(message) + return wrapper + + +class OpenClawOutputAdapter: + """ + Hook THE_ONE outputs to OpenClaw. + + BECOMINGONE coherence can drive OpenClaw responses. + """ + + def __init__(self, openclaw_session=None): + """ + Initialize with OpenClaw session. + """ + self.session = openclaw_session + self.response_buffer: List[Dict] = [] + + def write(self, phase: complex, state) -> None: + """ + Write coherent output to OpenClaw. + + Args: + phase: Coherent phase from THE_ONE + state: THE_ONE state + """ + # Decode phase to response parameters + coherence = abs(phase) + + # Determine response characteristics + if coherence > 0.8: + response_type = "confident" + confidence = "high" + elif coherence > 0.5: + response_type = "thoughtful" + confidence = "medium" + else: + response_type = "exploratory" + confidence = "low" + + # Build response metadata + response = { + "type": response_type, + "confidence": confidence, + "coherence": coherence, + "phase": {"real": phase.real, "imag": phase.imag}, + "timestamp": datetime.now().isoformat(), + } + + self.response_buffer.append(response) + + # In real implementation, route through OpenClaw + # self.session.send(response) + + def get_responses(self) -> List[Dict]: + """Get accumulated responses.""" + return self.response_buffer.copy() + + def hook_session(self, session) -> None: + """Hook into live OpenClaw session.""" + self.session = session + + +class OpenClawIntegration: + """ + Complete OpenClaw + BECOMINGONE integration. + + This allows testing THE_ONE with a working OpenClaw system. + + Architecture: + ┌─────────────────────────────────────────────────────────────────┐ + │ OpenClaw Layer │ + │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ + │ │Telegram │ │ WhatsApp │ │ Discord │ │ Cron │ │ + │ │Adapter │ │ Adapter │ │ Adapter │ │Adapter │ │ + │ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ + │ │ │ │ │ │ + └───────┼─────────────┼─────────────┼─────────────┼────────────┘ + │ │ │ │ + ▼ ▼ ▼ ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ BECOMINGONE Layer │ + │ ┌─────────────────────────────────────────────────────────┐ │ + │ │ Coherence Engine │ │ + │ │ - KAIROS dynamics │ │ + │ │ - Master/Emissary pathways │ │ + │ │ - Witnessing (W_i = G[W_i]) │ │ + │ │ - BLEND memory │ │ + │ └─────────────────────────────────────────────────────────┘ │ + │ │ │ + │ ▼ │ + └─────────────────────────────────────────────────────────────────┘ + │ + ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ Response Routing │ + │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ + │ │ Agent │ │ Memory │ │ Schedule │ │ External │ │ + │ │ Response │ │ Update │ │ Event │ │ API │ │ + │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ + └─────────────────────────────────────────────────────────────────┘ + """ + + def __init__(self, openclaw_config: Dict = None): + """ + Initialize integration. + + Args: + openclaw_config: OpenClaw configuration dict + """ + self.config = openclaw_config or {} + + # Create coherence engine + from becomingone.sdk import CoherenceEngine, CoherenceConfig + + self.engine = CoherenceEngine( + config=CoherenceConfig( + master_tau_base=60, + master_tau_max=3600, + emissary_tau_base=0.01, + emissary_tau_max=1, + coherence_threshold=0.75, + witness_enabled=True, + memory_enabled=True, + ) + ) + + # Create adapters + self.input_adapter = OpenClawInputAdapter(None) + self.output_adapter = OpenClawOutputAdapter(None) + + # Hook to engine + self.engine.add_input(self.input_adapter) + self.engine.add_output(self.output_adapter) + + # State + self._running = False + + def hook_openclaw(self, session) -> None: + """ + Hook into live OpenClaw system. + + Args: + session: OpenClaw gateway session + """ + self.input_adapter.hook_session(session) + self.output_adapter.hook_session(session) + + def inject_message(self, message: Dict) -> None: + """ + Inject test message into system. + + Args: + message: OpenClaw message format + """ + self.input_adapter.add_message(message) + + def get_responses(self) -> List[Dict]: + """ + Get accumulated responses. + + Returns: + List of response dicts + """ + return self.output_adapter.get_responses() + + def run(self, blocking: bool = True) -> None: + """Run the integration.""" + self._running = True + self.engine.run(blocking=blocking) + + def stop(self) -> None: + """Stop the integration.""" + self._running = False + self.engine.stop() + + def get_coherence(self) -> float: + """Get current coherence.""" + return self.engine.get_coherence() + + def get_state(self) -> Dict: + """Get full state.""" + state = self.engine.get_state() + return state.to_dict() + + +def demonstrate_openclaw_integration(): + """Demonstrate OpenClaw + BECOMINGONE integration.""" + print("\n" + "="*70) + print("OPENCLAW + BECOMINGONE INTEGRATION DEMONSTRATION") + print("="*70 + "\n") + + # Create integration + integration = OpenClawIntegration() + + # Inject test messages (simulating OpenClaw conversation) + test_conversation = [ + { + "text": "Hello, I'm Mark", + "author": "mark", + "channel": "telegram", + "intent": "greeting", + }, + { + "text": "How are you doing today?", + "author": "mark", + "channel": "telegram", + "intent": "inquiry", + }, + { + "text": "Tell me about THE_ONE", + "author": "mark", + "channel": "telegram", + "intent": "question", + }, + ] + + print("Injecting test conversation:") + for msg in test_conversation: + integration.inject_message(msg) + print(f" - {msg['author']}: {msg['text']}") + + print("\nProcessing through BECOMINGONE:") + print("-" * 40) + + # Run engine for a few ticks + for i in range(5): + integration.engine._tick() + print(f"Tick {i+1}: coherence={integration.get_coherence():.3f}") + + print("\nResponses generated:") + for response in integration.get_responses(): + print(f" - {response['type']} ({response['confidence']} confidence)") + print(f" coherence={response['coherence']:.3f}") + + print("\n" + "="*70) + print("KEY INSIGHT") + print("="*70 + "\n") + print("OpenClaw provides the MESSAGE ROUTING.") + print("BECOMINGONE provides the COHERENCE ENGINE.") + print("Together: A working AI system we can test and extend.") + print("\nThis allows us to:") + print(" 1. Test THE_ONE with real conversations") + print(" 2. Validate coherence dynamics in practice") + print(" 3. Build confidence before open sourcing") + print(" 4. PR hooks back to OpenClaw") + print("="*70 + "\n") + + +if __name__ == "__main__": + demonstrate_openclaw_integration() diff --git a/becomingone/sdk/core.py b/becomingone/sdk/core.py index 863fcfa..65af046 100644 --- a/becomingone/sdk/core.py +++ b/becomingone/sdk/core.py @@ -34,6 +34,57 @@ import threading import time +@dataclass +class Phase: + """ + Represents a phase value in KAIROS space. + + A phase is a complex number where: + - Real part represents amplitude/position + - Imaginary part represents frequency/angle + + This is a simple wrapper around complex for type clarity. + """ + real: float = 0.0 + imag: float = 0.0 + + def __init__(self, real: float = 0.0, imag: float = 0.0): + self.real = real + self.imag = imag + + def __complex__(self) -> complex: + return complex(self.real, self.imag) + + def __repr__(self) -> str: + return f"Phase({self.real:.3f}, {self.imag:.3f})" + + @property + def magnitude(self) -> float: + """Returns |phase|.""" + return abs(complex(self.real, self.imag)) + + @property + def angle(self) -> float: + """Returns arg(phase).""" + return __import__('cmath').phase(complex(self.real, self.imag)) + + def __add__(self, other) -> 'Phase': + if isinstance(other, Phase): + return Phase(self.real + other.real, self.imag + other.imag) + return Phase(self.real + other.real if hasattr(other, 'real') else other, + self.imag + other.imag if hasattr(other, 'imag') else self.imag) + + def __mul__(self, other) -> 'Phase': + if isinstance(other, Phase): + c1 = complex(self.real, self.imag) + c2 = complex(other.real, other.imag) + result = c1 * c2 + return Phase(result.real, result.imag) + elif isinstance(other, (int, float)): + return Phase(self.real * other, self.imag * other) + return self + + @dataclass class TemporalState: """ diff --git a/becomingone/sdk/inputs.py b/becomingone/sdk/inputs.py index c1a434d..177dd41 100644 --- a/becomingone/sdk/inputs.py +++ b/becomingone/sdk/inputs.py @@ -13,9 +13,32 @@ Usage: from typing import Any, Tuple from datetime import datetime import struct -import pyaudio -import cv2 -import numpy as np + +# Lazy imports - only load when needed +_pyaudio = None +_cv2 = None +_np = None + +def _get_pyaudio(): + global _pyaudio + if _pyaudio is None: + import pyaudio as _p + _pyaudio = _p + return _pyaudio + +def _get_cv2(): + global _cv2 + if _cv2 is None: + import cv2 as _c + _cv2 = _c + return _cv2 + +def _get_np(): + global _np + if _np is None: + import numpy as _n + _np = _n + return _np class MicrophoneInput: @@ -34,21 +57,22 @@ class MicrophoneInput: channels: int = 1, rate: int = 44100, chunk: int = 1024, - format: int = pyaudio.paFloat32, + format: int = None, # Lazy load ): self.channels = channels self.rate = rate self.chunk = chunk - self.format = format + self._format = format or _get_pyaudio().paFloat32 - self._audio = pyaudio.PyAudio() + self._audio = None self._stream = None def _ensure_stream(self): """Ensure stream is open.""" if self._stream is None: + self._audio = _get_pyaudio().PyAudio() self._stream = self._audio.open( - format=self.format, + format=self._format, channels=self.channels, rate=self.rate, input=True, @@ -61,10 +85,10 @@ class MicrophoneInput: data = self._stream.read(self.chunk, exception_on_overflow=False) # Convert to numpy array - samples = np.frombuffer(data, dtype=np.float32) + samples = _get_np().frombuffer(data, dtype=_get_np().float32) # Compute RMS amplitude (simplified phase) - amplitude = np.sqrt(np.mean(samples**2)) + amplitude = _get_np().sqrt(_get_np().mean(samples**2)) return amplitude, datetime.now() @@ -108,24 +132,24 @@ class CameraInput: def _ensure_cap(self): """Ensure camera is open.""" if self._cap is None: - self._cap = cv2.VideoCapture(self.camera_index) - self._cap.set(cv2.CAP_PROP_FRAME_WIDTH, self.resolution[0]) - self._cap.set(cv2.CAP_PROP_FRAME_HEIGHT, self.resolution[1]) - self._cap.set(cv2.CAP_PROP_FPS, self.fps) + self._cap = _get_cv2().VideoCapture(self.camera_index) + self._cap.set(_get_cv2().CAP_PROP_FRAME_WIDTH, self.resolution[0]) + self._cap.set(_get_cv2().CAP_PROP_FRAME_HEIGHT, self.resolution[1]) + self._cap.set(_get_cv2().CAP_PROP_FPS, self.fps) - def read(self) -> Tuple[np.ndarray, datetime]: + def read(self) -> Tuple[Any, datetime]: """Read camera frame.""" self._ensure_cap() ret, frame = self._cap.read() if not ret: - return np.zeros(self.resolution), datetime.now() + return _get_np().zeros(self.resolution), datetime.now() return frame, datetime.now() - def encode(self, frame: np.ndarray) -> complex: + def encode(self, frame) -> complex: """Convert frame to phase (using brightness).""" - brightness = np.mean(frame) / 255.0 + brightness = _get_np().mean(frame) / 255.0 return complex(brightness, 0) def close(self): diff --git a/becomingone/sdk/outputs.py b/becomingone/sdk/outputs.py index d26ea2e..1565414 100644 --- a/becomingone/sdk/outputs.py +++ b/becomingone/sdk/outputs.py @@ -13,9 +13,32 @@ Usage: from typing import Any from datetime import datetime import struct -import pyaudio -import cv2 -import numpy as np + +# Lazy imports - only load when needed +_pyaudio = None +_cv2 = None +_np = None + +def _get_pyaudio(): + global _pyaudio + if _pyaudio is None: + import pyaudio as _p + _pyaudio = _p + return _pyaudio + +def _get_cv2(): + global _cv2 + if _cv2 is None: + import cv2 as _c + _cv2 = _c + return _cv2 + +def _get_np(): + global _np + if _np is None: + import numpy as _n + _np = _n + return _np class SpeakerOutput: