🧠 AI Memory Slimmer - Stop Burning Tokens in Claude & Cursor

AI Memory Slimmer works like a lightweight coat-check ticket system for massive AI data logs. It intercepts massive tool outputs, stores the full text safely in an optimized cloud vault, and returns a tiny 16-character ticket code to your conversation history.

By keeping heavy data out of active turns, it provides instant Context Window Optimization, acts as a RAG Cost Reducer, and serves as an unbreakable MCP State Saver so your tools and AI agents stay fast and cheap.

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🛠️ How It Works

• Step 1 (SLIM): Your AI agent gets a massive, messy data chunk from a local tool or web scraper.
• Step 2 (PIN): The text is sent to a persistent Apify key-value store and swapped for a tiny, clean ticket code. The ticket remains usable across separate Actor runs.
• Step 3 (SAVE): Your AI stays fast and cheap because it only has to read and remember the tiny ticket code.
• Step 4 (HYDRATE): When your workflow needs that specific data back, the system trades the ticket number for the original full text block automatically.

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🎛️ Input Settings

The Actor UI features an incredibly simple configuration structure available in both the Form and JSON tabs:

• Action: Choose SLIM to store a massive data block and receive your ticket code. Choose HYDRATE to pass a ticket code and pull the original text block back down.
• Payload: The data string you want to pass. Enter your raw text or data chunk for SLIM, or enter your 16-character hexadecimal ticket ID for HYDRATE. Blank payloads are accepted for automated testing and will create a valid empty-ticket record.

Tickets created by older builds that stored payloads in each run's temporary default store cannot be hydrated by this version. Slim those payloads again to create reusable tickets.

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🚀 API Quick Start

Python SDK Integration

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

# Compress heavy tool lists or outputs
actor_input = {
    "action": "SLIM",
    "payload": "YOUR_MASSIVE_TEXT_OR_DATA_HERE"
}

run = client.actor("flowlockautomation/ai-chat-slimmer").call(actor_input=actor_input)
print(run.get("output"))

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💳 Billing & Architecture

This infrastructure asset operates on a custom Pay-Per-Event (PPE) billing matrix. You are only charged precisely per event invocation when data is actively slimmmed or hydrated, keeping operational maintenance overhead next to zero.