AI Chat Slimmer: Context Storage Shield
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AI Chat Slimmer: Context Storage Shield
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.
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Martin B.
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🧠 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.
🛠️ 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.
🎛️ 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 forHYDRATE.
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.
🚀 API Quick Start
Python SDK Integration
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_API_TOKEN")# Compress heavy tool lists or outputsactor_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"))
💳 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.