nodejs #ollama #ai #wppconnect #javascript #opensource #linux Hello, dev community! 👋 I’ve been working on a personal project lately: a WhatsApp AI Bot that actually keeps track of conversations. No more "forgetful" bots, and best of all: it runs entirely on my own hardware! 🧠💻 🛠️ The Tech Stack The goal was to create an assistant that doesn't rely on external APIs like OpenAI. By combining WPPConnect with Ollama, I have full control over the data and the model. Here is the project structure: Bash user@remote-server:~/whatsapp-bot$ ls database.db # Long-term memory (SQLite) node_modules # The heavy lifters package.json # Project DNA server.js # The brain connecting WPPConnect + Ollama tokens/ # Session persistence (No need to re-scan QR) 💡 Quick Snippet (The Connection) Here is how I bridge the WhatsApp message to the local Ollama instance: JavaScript const wppconnect = require('@wppconnect-team/wppconnect'); const axios = require('axios'); // To talk to Ollama's local API async function askOllama(prompt) { const response = await axios.post('http://localhost:11434/api/generate', { model: 'llama3', prompt: prompt, stream: false }); return response.data.response; } wppconnect.create({ session: 'ai-session' }) .then((client) => { client.onMessage(async (message) => { const aiReply = await askOllama(message.body); await client.sendText(message.from, aiReply); }); }); I'm working on "System Prompts" to give the bot a specific personality and improving the SQLite query speed for massive chat histories. Are you running LLMs locally? I’d love to hear how you optimize Ollama performance for real-time chat! 👇 Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to ? It will become hidden in your post, but will still be visible via the comment's permalink. as well , this person and/or