tycoon.ai

Live Agent Development

Initial Setup

$ git clone https://github.com/0g-degen/tycoon.git

Cloning into 'core'...

$ cd core

$ npm install

Installing @ai-core/runtime...

Installing @ai-core/models...

Installing @ai-core/utils...

$ agent --version

AI Agent CLI v2.1.0

agent.config.js

module.exports = {
  name: 'smart-agent',
  version: '1.0.0',
  runtime: {
    type: 'nodejs',
    version: '18.x'
  },
  models: [
    {
      name: 'gpt4',
      provider: 'openai',
      config: {
        temperature: 0.7,
        maxTokens: 2048
      }
    }
  ],
  plugins: [
    '@ai-core/nlp',
    '@ai-core/vision',
    '@ai-core/learning'
  ],
  environment: {
    NODE_ENV: 'production',
    LOG_LEVEL: 'info'
  }
}

Agent Logs

[6:36:31 AM] Rate limit reached

[6:36:33 AM] Training iteration complete

[6:36:35 AM] Processing user request...

[6:36:37 AM] Cache optimized

[6:36:39 AM] High resource usage

[6:36:41 AM] Cache optimized

[6:36:43 AM] Model prediction complete

[6:36:45 AM] Analyzing input data...

GitHub Integration

$ git clone https://github.com/0g-degen/tycoon.git

Cloning into 'core'...

$ cd core && npm install

Installing dependencies...

$ git checkout -b feature/ai-enhancement

$ git status

Modified: src/agents/core.js Modified: src/models/neural.js Added: src/plugins/advanced-nlp.js

$ git commit -am "Enhanced neural processing"

[feature/ai-enhancement 5a7f1b2] Enhanced neural processing

Implementation Examples

Neural Network ConfigurationTypeScript

import { NeuralNetwork, Layer } from '@ai-core/neural';

const network = new NeuralNetwork({
  layers: [
    new Layer({ neurons: 128, activation: 'relu' }),
    new Layer({ neurons: 64, activation: 'relu' }),
    new Layer({ neurons: 32, activation: 'sigmoid' })
  ],
  learningRate: 0.001,
  optimizer: 'adam'
});

network.compile({
  loss: 'categorical_crossentropy',
  metrics: ['accuracy']
});

Smart Agent ImplementationJavaScript

class SmartAgent extends BaseAgent {
  constructor(config) {
    super(config);
    this.memory = new ShortTermMemory();
    this.knowledge = new KnowledgeBase();
  }

  async process(input) {
    const context = await this.memory.getContext();
    const knowledge = await this.knowledge.query(input);
    
    const response = await this.model.generate({
      prompt: input,    
      context,
      knowledge,
      maxTokens: 2048
    });

    await this.memory.store(input, response);
    return response;
  }

  async learn(dataset) {
    const trainer = new AgentTrainer(this);
    await trainer.train(dataset, {
      epochs: 10,
      batchSize: 32,
      validation: 0.2
    });
  }
}

Plugin SystemJavaScript

export class NLPPlugin extends AgentPlugin {
  name = 'nlp-core';
  version = '1.0.0';

  async analyze(text) {
    const tokens = await this.tokenize(text);
    const entities = await this.extractEntities(tokens);
    const sentiment = await this.analyzeSentiment(text);

    return {
      tokens,
      entities,
      sentiment,
      language: await this.detectLanguage(text)
    };
  }

  async generateResponse(context) {
    const analysis = await this.analyze(context.input);
    return this.agent.model.generate({
      ...context,
      analysis
    });
  }
}

Advanced AI Integration

Seamlessly connect with leading AI models and frameworks

Cloud Native

Deploy anywhere with our cloud-first architecture

Real-time Processing

Handle millions of requests with sub-millisecond latency

Configure Environment

agent config set-environment

Environment configured successfully

agent test connection

Connection established: Ready to deploy

{
  "agent": {
    "name": "smart-agent-01",
    "version": "1.0.0",
    "type": "autonomous",
    "capabilities": [
      "natural-language",
      "decision-making",
      "learning"
    ]
  }
}

Live Agent Development

Implementation Examples

Neural Network Configuration

Smart Agent Implementation

Plugin System

Advanced AI Integration

Cloud Native

Real-time Processing

Initialize Your Agent

Configure Environment

Deploy Your Agent

Next Generation AI Agent Platform