Build Intelligent Agents with Flunk

Create, train, and deploy AI agents that understand context, learn from interactions, and solve complex problems with unprecedented efficiency.

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Natural Language Understanding

Build agents that understand and process human language naturally and contextually, powered by advanced language models and semantic analysis.

Task Automation

Automate complex workflows with intelligent agents that learn and adapt to your specific needs, improving efficiency and reducing manual work.

Multi-Agent Systems

Create networks of collaborative agents that work together seamlessly to solve complex problems and achieve sophisticated goals.

Quick Start
// Initialize a new Flunk agent
const agent = new FlunkAgent({
    model: 'gpt-4',
    context: 'development',
    capabilities: ['code', 'analysis']
});

// Train with custom data
await agent.train(customData);

// Start conversation
const response = await agent
    .chat("Let's solve this!");

Advanced Configuration
// Create a specialized agent
const config = {
    model: 'gpt-4',
    temperature: 0.7,
    maxTokens: 2000,
    context: [
        { role: 'system',
          content: 'Expert in code review' }
    ],
    tools: ['codeAnalysis', 'security']
};

const agent = new FlunkAgent(config);

// Enable streaming responses
agent.on('response', chunk => {
    console.log(chunk);
});

Multi-Agent System
// Create a network of agents
const network = new FlunkNetwork();

// Add specialized agents
network.addAgent('researcher', {
    model: 'gpt-4',
    role: 'Research specialist',
    memory: { type: 'persistent' }
});

network.addAgent('writer', {
    model: 'claude-3',
    role: 'Content creator',
    tools: ['writing', 'editing']
});

// Start collaboration
await network.collaborate();

Deployment & Monitoring
// Deploy agent to production
const deployment = new FlunkDeploy({
    agent,
    env: 'production',
    monitoring: true,
    analytics: {
        enabled: true,
        metrics: ['performance', 'usage']
    }
});

// Configure scaling
deployment.setScaling({
    min: 1,
    max: 10,
    target: 'cpu',
    autoScale: true
});

await deployment.start();