Quickstart

Choose your path. Add a complete UI component to your frontend or add a powerful context layer to your backend.

Drop-in UI Component
Headless Backend

The fastest way to get a full-featured chatbot running in your app.

// 1. Install the React SDK
// npm install @jeanmemory/react

// 2. Add the provider and complete chat component
import { JeanProvider, JeanChatComplete } from '@jeanmemory/react';

function MyPage() {
  return (
    <JeanProvider apiKey="jean_sk_your_key">
      <JeanChatComplete />
    </JeanProvider>
  );
}

For developers who want to power their existing AI agents with our headless SDK.

# 1. Install the Python SDK
# pip install jeanmemory openai

# 2. Get context before calling your LLM
import os
from jeanmemory import JeanMemoryClient
from openai import OpenAI

jean = JeanMemoryClient(api_key=os.environ["JEAN_API_KEY"])
openai = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

context = jean.get_context(
    user_token="USER_TOKEN_FROM_FRONTEND",
    message="What was our last conversation about?"
).text

prompt = f"Context: {context}\n\nUser question: What was our last conversation about?"

# 3. Use the context in your LLM call
completion = openai.chat.completions.create(
    model="gpt-4-turbo",
    messages=[{"role": "user", "content": prompt}]
)

Full-Stack Integration: User signs in with React SDK, then the same user token works across all SDKs. Frontend handles auth, backend gets context.

Get Started

SDK

Reference