Node.js Quickstart

import { NegentroClient } from '@negentro/sdk';

const client = new NegentroClient({
  baseUrl: process.env.NEGENTRO_HOST || 'http://localhost:8080',
  apiKey: process.env.NEGENTRO_API_KEY
});

async function main() {
  // Store user preference
  const mem = await client.memories.create({
    content: "User prefers Node.js with Fastify over Express.",
    userId: "user_42",
    tags: ["backend", "frameworks"]
  });
  console.log("Created memory ID:", mem.id);

  // Hybrid search across memories
  const results = await client.search({
    query: "What web framework does the user prefer?",
    userId: "user_42",
    limit: 5
  });
  console.log("Top match:", results.results[0]);
}

main();

import { NegentroClient } from '@negentro/sdk';
import { openai } from '@ai-sdk/openai';
import { streamText } from 'ai';

const negentro = new NegentroClient();

export async function POST(req: Request) {
  const { messages, userId } = await req.json();
  const lastMessage = messages[messages.length - 1].content;

  // 1. Retrieve targeted memory context
  const context = await negentro.context.retrieve({
    query: lastMessage,
    userId: userId,
    tokenBudget: 800
  });

  // 2. Stream completion with grounded memory
  return streamText({
    model: openai('gpt-4o'),
    system: `You are a helpful assistant. Context: ${context.assembledPrompt}`,
    messages
  }).toDataStreamResponse();
}