Polybius is a next-generation intelligent agent framework built for adaptability across diverse domains. It merges contextual awareness, multi-agent collaboration, and predictive reasoning to deliver dynamic, self-optimizing performance.
npm install @polybiouslabs/polybiousbash
npm install
npm test # Run test suite
npm run dev # Development mode
npm start # Production mode
`
Quick Start
`typescript
import { ContextualMemoryMatrix } from './src/core/memory';
import { CollaborationHub } from './src/core/collaboration';
import { ScenarioSimulationEngine } from './src/core/simulation';
const memory = new ContextualMemoryMatrix();
const hub = new CollaborationHub();
const simulator = new ScenarioSimulationEngine();
// Store contextual experience
await memory.store('mission', {task: 'Data mining operation'}, 0.85, ['analytics', 'ai']);
// Enable agent collaboration
hub.registerAgent('analysisAgent', {capabilities: ['data-processing', 'trend-detection']});
hub.registerAgent('reportAgent', {capabilities: ['summary-generation', 'visualization']});
hub.connectAgents('analysisAgent', 'reportAgent');
// Simulate an outcome
const outcome = await simulator.runScenario('Market prediction for Q4');
console.log(Predicted trend: ${outcome.trend}, Confidence: ${outcome.confidence});
`
Configuration
`json
{
"name": "PolybiusCore",
"personality": {
"systemPrompt": "Multi-domain AI strategist with adaptive learning capabilities",
"emotionalRange": {
"creativity": 0.75,
"analytical": 0.95,
"empathy": 0.55,
"humor": 0.35,
"enthusiasm": 0.85
},
"tools": [
{"name": "data_mining", "enabled": true},
{"name": "scenario_simulation", "enabled": true},
{"name": "sentiment_analysis", "enabled": true}
],
"learningRate": 0.4,
"memoryCapacity": 2000
}
}
`
API Reference
$3
`typescript
await memory.store(type, data, importance, tags);
const recallData = await memory.recall('query', limit);
const insights = await memory.generateInsights();
`
$3
`typescript
hub.registerAgent(name, config);
hub.connectAgents(agentA, agentB);
hub.broadcastMessage('analysisAgent', {topic: 'status-update'});
`
$3
`typescript
const result = await simulator.runScenario(description);
await simulator.trainModel(historicalData);
const recommendations = await simulator.getRecommendations(currentState);
`
Examples
* examples/basic-agent.json – Minimal setup for single-agent tasks
* examples/collaborative-agents.json – Multi-agent coordination
* examples/predictive-strategist.json` – High analytical reasoning with forecasting