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AI Chat with Memory

Persistent chat sessions with conversation history

AI LLM Pipeline Persistent Session Storage Conversation Memory Streaming Responses Session Management

About

Build stateful AI chat experiences that remember previous conversations. Each chat session persists its full conversation history in persistent storage, so the AI has context across multiple exchanges.

Create named sessions, chat with full memory, retrieve history, and manage sessions — all via simple REST endpoints. Supports streaming responses for real-time UX.

API Endpoints

POST /chat Send a message with conversation memory

GET /history/:sessionId Get conversation history for a session

GET /sessions List all chat sessions

GET /health Health check

How It Works

Session Creation

Conversations organized by sessionId — each session stores its own history in persistent storage.

History Retrieval

Previous messages loaded from persistent storage and appended to the LLM prompt as context.

LLM Generation

Full conversation history + new message sent to the LLM for contextual response.

History Persistence

Both user message and AI response appended to the session history in persistent storage.

Use Cases

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Customer-Facing Chatbot

Build a chatbot that remembers user preferences and past conversations.

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AI Assistant

Create a personal AI assistant with persistent memory across sessions.

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Tutoring System

Educational chatbot that tracks student progress and adapts explanations over time.

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Multi-Turn Workflows

Complex workflows where the AI needs to reference earlier steps in the conversation.

Quick Launch arrow_forward

Opens Aerostack dashboard to deploy this template

What's Included

check AI LLM Pipeline

check Persistent Session Storage

check Conversation Memory

check Streaming Responses

check Session Management

check 4 API endpoints

check Edge deployed

Pipeline

psychology LLM — AI text generation

Billing Model

metered

Pay per token used. Free tier included.