5 minute setup

Quickstart Guide

Get your AI remembering things in under 5 minutes. No complex setup required.

Get Your API Key

Install the SDK

Choose Python or TypeScript and install the package.

Start Building

Add memories and search with just a few lines of code.

Step 1: Get Your API Key

Terminal

export HEBBRIX_API_KEY="mem_sk_your_api_key_here"

Step 2: Install the SDK

We support Python and TypeScript. Pick your favorite:

Python

pip install hebbrix

TypeScript

npm install hebbrix

Step 3: Create Your First Memory

Store a memory and then search for it. That's all it takes.

Python

from hebbrix import Hebbrix

# Initialize the client
client = Hebbrix(api_key="your_api_key")

# Store a memory
memory = client.memories.create(
    content="User prefers dark mode and uses Python for development"
)
print(f"Created memory: {memory.id}")

# Search for it
results = client.search("what programming language does the user prefer?")
for result in results:
    print(f"Found: {result.content}")

TypeScript

import { Hebbrix } from 'hebbrix';

// Initialize the client
const client = new Hebbrix({ apiKey: 'your_api_key' });

// Store a memory
const memory = await client.memories.create({
  content: 'User prefers dark mode and uses TypeScript for development'
});
console.log('Created memory:', memory.id);

// Search for it
const results = await client.search('what programming language does the user prefer?');
results.forEach(result => {
  console.log('Found:', result.content);
});

Bonus: OpenAI-Compatible Chat

Use our chat completions endpoint as a drop-in replacement for OpenAI. Memories are automatically injected into the context.

OpenAI-Compatible

from openai import OpenAI

# Point to Hebbrix instead of OpenAI
client = OpenAI(
    api_key="your_hebbrix_api_key",
    base_url="https://api.hebbrix.com/v1"
)

# Chat with memory
response = client.chat.completions.create(
    model="gpt-4",  # or any model
    messages=[
        {"role": "user", "content": "What do I prefer?"}
    ]
)

# The response will include relevant memories automatically
print(response.choices[0].message.content)