The Empathy Engine

lovebot.dev is a developer framework for building chatbots that understand not just what users say, but how they feel. Sentiment analysis, empathy modeling, and conversational warmth — engineered with the same rigor you bring to your backend.

We believe software can be both structurally sound and emotionally resonant. Like a concrete tower with floor-to-ceiling glass looking out over the Pacific — brutalist honesty meets oceanic depth.

What Lovebot Does

Sentiment Detection

Real-time emotional classification across 27 distinct sentiment categories. Not just positive/negative — nuanced states like loneliness, cautious hope, and quiet frustration.

Empathy Modeling

Context-aware response generation that matches emotional register. Your bot doesn't just respond — it resonates. Trained on 2M+ annotated conversations with therapeutic communication patterns.

Tidal Memory

Conversation state that ebbs and flows. Short-term emotional context persists across turns, while long-term sentiment patterns inform relationship-level understanding. Like tides — always moving, never forgetting the shore.

Connection Metrics

Quantify emotional engagement with your users. Track empathy scores, sentiment drift, and connection depth over time — dashboards built for engineers who measure what matters.

Built for Developers

empathy.config.ts
import { Lovebot, EmpathyEngine } from 'lovebot.dev';

const bot = new Lovebot({
  engine: new EmpathyEngine({
    sensitivity: 0.85,
    warmth: 'coastal',
    memory: 'tidal',
  }),
  voice: {
    tone: 'honest-gentle',
    pace: 'breathing',
  }
});

bot.onMessage(async (msg) => {
  const sentiment = await bot.analyze(msg);
  const response = await bot.respond(msg, {
    empathy: sentiment.depth,
    context: sentiment.tidal,
  });
  return response;
});

Clean APIs. TypeScript-first. Every method documented, every type exported. The SDK feels like writing poetry with autocomplete.

Voices from the Shore

"We integrated Lovebot into our support chat and our CSAT scores jumped 34% in two weeks. Users said our bot 'actually listened.' That's never happened before."

— Sarah K., Head of Support Engineering

"The tidal memory model is brilliant. Our mental health app needed a bot that remembered emotional context without being creepy. Lovebot nailed it."

— Marcus T., CTO @ MindBridge

"As an engineer, I was skeptical about 'empathy' as a feature. Then I saw the sentiment analysis output. This is real NLP engineering with genuine emotional intelligence."

— Yuki A., Senior ML Engineer

Start Building

Install lovebot.dev and ship your first emotionally intelligent chatbot in under 10 minutes.

npm install lovebot.dev